Table of Contents


Oracle Data Cloud


Data Directory

Meet the Oracle Data Cloud Hotline: Data Planning Desk

The Data Hotline provides quick answers to any audience challenge. We work with agencies, media and ad tech partners to deliver the best audience recommendations by leveraging the 40+ data partner solutions in our marketplace.

Our team of data experts are here to help with any audience challenge – with turn around times in under 24 hours. Together, we’ll work to quickly identify the best solutions to achieve your or your clients’ goals.

  • Audience Recommendations
  • Audience Sizing
  • Order Custom Audiences
  • RFP Support
  • Product Education
  • Collateral needs
  • Case studies
  • Measurement Feasibility
  • Order Measurement Study
  • Onsite Support


Oracle Data Cloud


Data Directory

Oracle BlueKai B2B: A Buyer’s Guide

Oracle BlueKai B2B Data 101

Reach more than 300MM business professionals with Oracle BlueKai’s unbranded B2B audience. Aggregated from industry leading data providers, our B2B data features more than 1100 attributes letting users target audiences by Company Size, C-suite, Industry and Functional Area or take advantage of even more granular categories like Company Age, Sales Volume, Employee Type and more.

Find this offering located under our B2B node in the Oracle BlueKai taxonomy.

Description of Data Types:

Expandable categories for the following B2B segments:

  • Company Size
  • Employment Status
  • Industries & Occupations (includes 21 expandable categories)
  • Roles/Titles
  • Sales Volume

Login to the BlueKai Partner UI for the full listing of segments.

Use Our Data For:

Use this data to target business users from a variety of fields, occupations and career levels.


Oracle Data Cloud


Oracle Data Cloud

Oracle BlueKai Intent: A Buyer’s Guide

Oracle BlueKai Intent Data 101

Oracle BlueKai Intent™ data offers unparalleled data depth and breadth for branding and direct marketing initiatives, across seven key in-market verticals, and over 30,000 targeting attributes. Oracle BlueKai users who are bucketed into “in-market” categories are qualified consumers who intend to buy a particular product or service in the near future. Oracle BlueKai qualifies these consumers through specific actions which indicate intent to buy on top tier ecommerce, financial, retail, online travel agency sites. Sample actions include interactions with a search function (either via search widget, or entering in a keyword), product comparison, loan calculators, etc.

Description of Data Types:

  • In-Market Real Estate Data
  • In-Market Auto Data
  • In-Market Travel Data
  • In-Market Education Data
  • In-Market Financial Data
  • In-Market Retail Data
  • In-Market Services Data
  • In-Market CPG Data
  • Interest Data
  • Predictors Data


Oracle Data Cloud

Collection Methodology

Oracle BlueKai aggregates and classifies intent data from top data providers in seven key vertical markets. This data is organized and qualified by a team of Classification Taxonomists, to ensure that all users who are tagged as “in-market” have indeed taken actions online to declare themselves as such.

Use Our Data For:

Leverage Oracle BlueKai data for lower-funnel campaigns for targeting precision at scale. Oracle BlueKai In-Market Auto data has been seen to enhance campaign performance by 30x versus other intender auto data sources, and Oracle BlueKai “In-Market” data across verticals has powered campaigns to see an average of 200-300% lift in performance.


Oracle Data Cloud

Oracle BlueKai Qualified Demographic: A Buyer’s Guide

Oracle BlueKai Qualified Demographic Data 101

Oracle BlueKai has leveraged its massive scale of demographic data and combined that with its own analytics based on consensus and validation to present a new category of Qualified Demographic data.

Qualified Demographic data makes identifying accurate demographic audiences easier and more effective. We have taken a “wisdom of the data experts” approach to qualifying demographic attributes for targeting audiences at scale.

Description of Data Types:

Medium and High Confidence Categories for:

  • Gender
  • In-Market Auto Data
  • Presence Of Children
  • Age
  • Household Income


Oracle Data Cloud

Qualification Methodology

Oracle BlueKai ran a series of test campaigns with our unbranded and branded data categories to find the most accurate data sets in our platform.

Oracle’s data science team performed consensus testing across top data providers to determine the accuracy of a demographic profile of users to assign them a score of “High Confidence” or “Medium Confidence”.

  • High Confidence – is assigned when two or more data experts agree on the demographic attributes of a user and there are no conflicting opinions on the panel
  • Medium Confidence – is assigned when at least one panel expert states the demographic attributes of a user and there are no conflicting opinions on the panel

Spanning 4 sub-categories – Age, Gender, Income, and Children in Household -Qualified Demographic segments are tested quarterly to confirm that users continue to meet the specified standard of excellence in data quality.


Oracle Data Cloud

Oracle BlueKai Television: A Buyer’s Guide

Oracle BlueKai Television Data 101

Oracle BlueKai offers Television data in our unbranded taxonomy. This vertical includes viewership data aggregated from top connected TV platforms, as well as a new beta data type for brand exposure which covers commercials viewed on IP-enabled devices.

The Marketplace has >600 categories that cover viewership and exposure by network, show, genre, viewing frequency, as well as brand.

Advantages of using Oracle BlueKai Television data:

  • Volume: By aggregating from top data providers you can tap into ~140 MM unique consumers.
  • Variety: Not only standard categories like TV viewership by Network, Genre, Daypart, Show, but also available is a unique “brand viewership” child node which includes commercial viewer data.
  • Platform Tools: Included in the data subscription is audience analytics reporting and site analytics reporting for insights discovery and category recommendation, as well as sophisticated audience creation and data delivery tools.


Oracle Data Cloud

Description of Data Types:

The below categories are currently available under the Television node within the Oracle BlueKai taxonomy:


Brand Exposure BETA

  • Apparel retailers
  • Auto makers
  • Cell Phones
  • Computer Hardware
  • Financial
  • Home Retailers
  • Large Retailers
  • Online Retailers
  • Wireless Service Providers


  • Dayparts
  • Genres
  • Shows
  • Viewing Frequency

Find the new data type as a top-level node in our audience building tool.

Use Our Data For:

With the Television taxonomy, marketers can target online users who were exposed to a TV commercial. Using this engagement touch-point will ensure a more relevant message reaches potential consumers, and help in serving the right volume of ads to your prospects.

Marketers can reach these prospects across an integrated channel within the platform, including additional pre-roll views on video, display targeting, or even optimize site content based on users who have seen your TV ad. This same Marketer can reach users who have been exposed to competitive brands and serve an “intent to switch” message.

In addition, a marketer or advertiser on a video network can mimic their TV audience buying by supplementing the frequently used demographic and gender buckets with more precise viewership and brand exposure (beta) data.


Oracle Data Cloud

Oracle Datalogix: A Buyer’s Guide

Oracle Datalogix Data 101

Oracle Datalogix (DLX) data is the premier solution when looking for offline purchase and activity based audiences. With data on more than 110 million HHs and $2 trillion in consumer spending, the Oracle Data Cloud helps advertisers, agencies, and media partners build precision-based data strategies. .

Description of Data Types:

Over 1800 pre-built audiences as well as custom audiences to meet an advertiser’s exact targeting needs across the following categories:

  • DLX Auto – Reach audiences in market, near market & likely vehicle owners
  • Source: IHS Automotive 20+ years of ownership data and 350+ data points
  • DLX B2B – Reach business by industry, size, age, sales and more
  • Source: 70+ data sources matched to both offline business and consumer data
  • DLX CPG – Reach product, brand and category buyers across the lifecycle
  • Source: 50+ retailers across grocery, club, mass and drugstore
  • DLX Demo – Reach top ranked AGI (age/gender/income) audiences and other demographic attributes
  • Source:Offline data on 110+ million households from U.S. Census, public records, DMV and more


Oracle Data Cloud

  • DLX Finance – Reach audiences based on financial behavior including credit cards, home value, net worth, income and more
  • Source: Offline data on 110+ million households from U.S. Census, public record housing & deeds, permissible credit header sources
  • DLX Lifestyles – Reach audiences based on offline validated interests, purchases and activities
  • Source: Offline and online purchase, demo and financial data on 110 million HHs
  • DLX Philanthropy – Reach audiences based on charitable affinities and propensity to donate
  • Source: 3+ billion donation records across US households
  • DLX Proximity – Reach households based on distance to local retailers
  • Source: Offline address data and latitude/longitude coordinates of retail locations
  • DLX Retail – Reach product, brand and category buyers across 54 categories and 1000+ subcategory classifications
  • Source: 10+ billion SKU-level transactions across 1500 leading retailers
  • DLX Seasonals – Reach audiences based on each season’s biggest spending occasions
  • Source: Retail, CPG and Lifestyles data on over 110+ million households
  • DLX Subscription – Reach known subscribers of long-term services including insurance, cable, mobile and more
  • Source: Demographic, geographic, financial and consumer purchases
  • DLX TV powered by TRA® – Reach TV viewing audiences based on the shows, networks and genres they watch most
  • Source: Source: TRA’s set-top-box exposure data from 4.2 M HHs
  • DLX OnRamp – Convert any CRM, or offline file, into an online audience for a 1:1 direct match. Add DLX OnRamp Audience Extension to find new customers that spend just like your best customers.


Data Directory

Collection Methodology:

Oracle Datalogix audiences are derived from offline verified data, coupled with one-to-one deterministic matching, guaranteeing the most accurate audiences available online. The Oracle Datalogix data engine is fueled by:

  • 110 million U.S. Households
  • 10 billion SKU-level transactions
  • $2 trillion in consumer spending
  • 1500+ leading brands

Use Our Data For:

Datalogix is the best resource for online campaigns that drive sales via an offline channel.

Datalogix provides unsurpassed audiences for:

  • Consumer packaged goods brands
  • Auto brands
  • Products sold through major retail channels
  • Campaigns for advertisers with their own customer data
  • Campaigns targeting precise audience profiles
  • National campaigns as well as campaigns designed to reach a specific marketing objective across any point in the buyer lifecycle


Oracle Data Cloud


Data Directory

Oracle Datalogix UK: A Buyer’s Guide

Oracle Datalogix UK Data 101

Oracle Datalogix (DLX) data is the premier solution when looking for offline purchase and activity based audiences. With data on over 90% of UK households and over 65 billion in consumer spending, the Oracle Data Cloud helps advertisers, agencies, and media partners build precision-based data strategies.

Description of Data Types:

Access 200+ pre-built online audiences. Each includes a combination of purchase-based data, rich demographics and deep financial insights so you can target with precision.

  • DLX CPG – Leverage 50 audiences leveraging consumer shopping baskets from a wide range of grocery retailers
  • Source: Grocery purchase transactions
  • DLX Demo – Reach over 45 demographic based audiences from top industry offline sources
  • Source: Created from multiple double verified online data, insurance rolls, public records, survey data and more 


Oracle Data Cloud

  • DLX Finance – Reach audiences based on income, net worth and more from top offline industry sources
  • Source: Known double-verified offline data, including UK census, electoral rolls, survey data and public record information
  • DLX Lifestyles – Reach audiences based on their interests, tastes, preferences and activities
  • Source: Combination of known online and offline purchase, demo & financial data
  • DLX Retail – Reach audiences across any Retail category and product
  • Source: Source: 1 Billion data points across 250+ leading sources

Collection Methodology:

The strongest predicator of future buying behaviors is past purchases. Oracle Datalogix audiences connect marketers to customers and prospects based on their purchase history.

Oracle Datalogix audiences connect marketing to sales: 

  • 90% of UK Adults
  • 1 Billion data points
  • 65 Billion in spending
  • 250+ sources

Use Our Data For:

Oracle Datalogix UK provides audiences for:

  • Consumer packaged good brands
  • Auto brands
  • Campaigns targeting precise audience profiles


Data Directory

Acxiom: A Buyer’s Guide

DATA TYPES: Auto, B2B, Behavioral, CPG, Demo, Financial, Offline Match, Political, Retail, Seasonal, Social/Lifestyle, Travel

Acxiom Data 101

Acxiom is an enterprise data, analytics and software as a service company. We compile insights on known consumers and households to provide the most accurate, comprehensive, up-to-the-minute data available. This enables advertisers to understand, identify and target audience segments, whether the channel used to connect is online, mobile, television, email or direct mail. Our secret sauce is how well we ingest, clean, match, enhance and distribute diverse data sets at scale in a privacy-compliant way.

Description of Data Types:

Acxiom brings the power of our industry-leading data brands to omni-channel marketing. Our proven balance of coverage and accuracy is essential to generate high quality consumer data.

  • InfoBase - Fact-based data collected on real people and households
  • Personicx Lifestage – Segmented households with similar family structure, financial means, motivations, interests and behaviors
  • Audience Propensities - Predictive models leveraging rich consumer insight sources and modeled against all consumers for accuracy and reach

Categories (for a full list see the BlueKai taxonomy)

  • Automotive
  • Business
  • Charities and Causes
  • Consumer Packaged Goods
  • Demographic
  • Financial
  • And more...


Oracle Data Cloud

Collection Methodology

  • Widest Sources: Accurate, actionable data compiled from a diverse network of credentialed, global data partners - using detailed purchase, survey, life stage, interests, and wealth inputs.
  • Best Recognition: Unparalleled ability to connect people across channels, time and name change at scale by linking our repository of offline data to the online world.
  • Effective Analytics: Predictive models applied against the full consumer population deliver optimal reach and accuracy by combining attitudes, motivations, intentions, and purchase considerations.

Use Our Data For:

Leverage rich insights to reach, attract and retain relevant audiences across devices and channels.

  • Create highly qualified audiences by mixing, matching and layering elements.
  • Find look-alikes and extend reach with new prospect segments.
  • Optimize offers and messages.
  • Leverage data filters and apply suppression.


Data Directory

AddThis: A Buyer’s Guide

DATA TYPES: Auto, B2B, Behavioral, CPG, Demo, Financial, Offline Match, Political, Retail, Seasonal, Social/Lifestyle, Travel

AddThis Data 101

AddThis helps brands build more authentic customer relationships through insight, activation and personalization products powered by the AddThis Audience Intelligence (Ai) platform. AddThis Ai processes the real-time interest and intent data from 1.9B monthly uniques across 15M domains. AddThis’ reach, combined with world-class data science and seamless integration across the marketing ecosystem, gives marketers and advertisers unprecedented transparency into target audiences and enhances their ability deliver effective personalized experiences across paid and owned media.

Description of Data Types:

AddThis audience segments are created from hundreds of real-time, first-party permissioned data points sourced exclusively from the largest global co-op of consumer behavior on the open web. Combined with analysis from in-house data scientists, segments are refined to ensure quality and maximum impact.

AddThis offers:

  • A Standard taxonomy with over 1,500 on-demand, pre-optimized audiences designed with scale and reach in mind
  • Custom segments
  • Look-a-like models


Oracle Data Cloud


Advantages include:

  • Privacy compliant data – aggregated, anonymous & non-PII
  • Updated in real-time with a 30-day rolling pixel pool
  • New segment creation turnaround 48-72 hours
  • Flexible activation via server-to-server integrations with all major DMPs and DSPs

Collection Methodology:

AddThis sees observed and declared actions for each unique visitor on every page across our 15M site-strong publisher network. Our proprietary blend of observed (e.g., arriving on site from search, content on page, reading on article, scrolling, watching a video) and declared (e.g., click, like, share, follow, print) data yields a holistic picture of each user’s true web habits, interests and preferences in real-time – providing unmatched audience insight and unparalleled audience segment quality and scale.

Use Our Data For:

  • Understanding how consumers in your CRM act across the web
  • Reaching hard to find users with a specific interest or intent
  • Marketing to your brand advocates & socially active consumers
  • Finding users who are likely to convert by modeling your existing converters


Data Directory

Affinity Answers: A Buyer’s Guide

DATA TYPES: Social/Lifestyle

Affinity Answers Data 101

Affinity Answers observes 275 million global social media users daily who tell the world about brands they love. Active engagement uncovers brand connections, which are not always intuitive, such as GoPro fans who love BMW. Targeting BMW lovers likely to be receptive to GoPro ads extends digital campaign reach to relevant consumers providing additional scale. Affinity segments represent critical audiences between casual awareness and the expensive ad impression driving conversion into a sale.

Description of Data Types:

Affinity Answers provides approximately 1,200 qualified consumer segments covering verticals such as Entertainment (including TV, Music, Celebrities, Sports, Movies, and Apps), Auto,Travel, Retail, CPG, and many others with audiences that are aware of your category and likely to engage, but do not have set brand preferences that would require conquesting techniques. In addition, 79 TV Audience Extension segments, which are designed to digitally extend brands’ TV ad efforts, are available.


Oracle Data Cloud

Collection Methodology

Affinity Answers observes brand engagement activity across Facebook, Instagram and Twitter for over 40,000 brands. Comments, uploaded photos, retweets, etc. – not page likes or follows – reveal brands consumers want to engage and consider relevant. These affinities, mapped to Oracle BlueKai cookies, are organized into brand segments.

In TV Audience Extensions, TV ad occurrence data helps identify fans of shows who socially engaged with the brand during the flight, resulting in brand segments of ad responders.

Use Our Data For:

  • Extending reach to untapped audiences when the primary audience has been exhausted.
  • Reaching competitors’ prospects before loyalty is cemented
  • Renewing interest for new products and releases.
  • Reaching lifestyles/lifestages via entertainment segments fitting brands’ broader vision.
  • Driving digital conversion, increasing frequency among TV ad viewers (TV Audience Extensions)


Data Directory

ALC: A Buyer’s Guide

DATA TYPES: Auto, B2B, Behavioral, CPG, Demo, Financial, Offline Match, Political, Retail, Seasonal, Social/Lifestyle, Travel

ALC Data 101

ALC Real World Data is different. It’s built with fact-based, location-centered data. It provides a deeper understanding of the people you’re targeting. It has no cookies to erase and can’t be “cleared.” ALC Real World Data is rooted in reality, and doesn't rely on inferences or faulty models. Our high-performing offline audiences are now available in the digital space with ALC Digital Audiences, and are proven to drive enhanced ROI for both B2B and B2C Brands.

Description of Data Types:

Our ground truth data rises above scores, models and surveys to give marketers audience segments that get real results. WIP Audience Segments include:

  • Wealth Window – The Nation’s Top 1% of Consumers Based on Possessions, Positions & Proclivities.
  • ALC MD+ – Comprehensive Coverage of Healthcare Professionals by Specialty with Unparalleled Selectivity
  • ALC B2B – Deep & Broad Access to Business Decision-Makers from Brand New and SOHO Companies to Fortune 500 Corporations
  • Newborn Network – New & Expecting Parents with a Multitude of Needs for their Growing Families

We can also build customized segments utilizing hundreds of attributes for specific needs.


Oracle Data Cloud

Collection Methodology

With over 35 years of experience working with major brands, ALC leads the data marketing industry building accurate audience targets by aggregating best-of-breed, ground truth data to deliver both precision and scale. ALC Digital Audiences’ foundation is the postal or physical address, which serves as the anchor to link hundreds of personal attributes. Our audiences are built from multi-sourced, verified information about an individual, rather than imprecise scores, surveys, or models.

Use Our Data For:

ALC Digital Audiences offer scale plus precision segmentation to reach powerful and influential audiences. Use it to drive results and awareness for travel, auto, financial services, consumer products, luxury merchandise, advocacy, philanthropy and more. More than 700 targeted audiences allow digital marketers to target with scale, while minimizing waste.


Data Directory

Alliant: A Buyer’s Guide

DATA TYPES: Auto, Behavioral, CPG, Demo, Financial, Offline Match, Political, Retail, Seasonal

Alliant Data 101

Alliant creates predictive segmentation solutions for multi-channel marketers. The company’s core assets include one of the industry’s largest sources of transactional data, sophisticated analytics, and a deep understanding of marketing strategy. Alliant Online Audiences™ deliver a powerful segmentation platform for display and video advertisers seeking brand reach and conversion performance.

Description of Data Types:

Alliant Online Audiences include consumer purchase histories and powerful purchasing measures, allowing marketers to identify large audiences with targeted interest and loyalty profiles. All data is sourced offline from multichannel, direct-to-consumer marketers who use promotional offers to sell merchandise, subscriptions, continuity products and memberships.

Purchase Interest Categories include: Health & Beauty, Fitness & Well-being, Home & Garden, Cooking & Gourmet, Entertainment, Books & Magazines, Finance, Family & Home, Travel, Products for Children, Women & Men


Oracle Data Cloud

Transaction and Demographic Profiles include: Financially in Charge, Emerging Consumers, Multibuyer Behaviors, Recency, Age & Income, Proprietary Performance Score, Metro, Mobile, New Movers

Collection Methodology:

Alliant’s data-driven solutions are powered by proprietary cooperative databases. Alliant combines multiple data feeds to create a unified, proprietary view of each consumer’s interests and performance.

Alliant’s data resources include transaction-level behavioral, demographic and lifestyle data on more than 270 million consumers. The data is updated monthly by leading marketing brands. The purchase affinities and marketing behaviors are based on multichannel direct transactions.

Use Our Data For:

Marketers target segments using any combination of purchase history, marketing behavior and monetary measures. A proprietary performance score qualifies prospects for higher LTV or wealth.

Brand Advertisers combine segments to target audiences by interests, demographics and lifestyles.

Conversion Marketers drive response and conversions with offers using purchase and performance behaviors.


Data Directory

Analytics IQ: A Buyer’s Guide

DATA TYPES: Creative Optimization, Auto, Demo, Financial, Retail, Travel

Analytics IQ Data 101

AnalyticsIQ is a marketing analytics company with a focus on building innovative and relevant data products.  Using a combination of our sophisticated analytical expertise and thousands of data elements, AnalyticsIQ  has built dozens of unique and accurate data products predicting attributes like consumer affluence, automobile purchase behaviors and travel propensity scores.  What makes AnalyticsIQ different?  Our highly experienced data scientists engineer these data products using the most accurate data “ingredients” powered by sophisticated analytics tools. 

Description of Data Types:

  • Affluence-HH discretionary spend estimates with specific types of spend, HH Income, Wealth-IQ (net worth), Investable Assets
  • Automobile Ownership Propensities-24 Makes
  • Travel Propensities-Domestic, International, Cruise
  • Loyalty Scores/likely to churn
  • Social Media Influence Score


Oracle Data Cloud

Collection Methodology:

AIQ acquires data from dozens of sources (public and opt-in) and aggregates a proprietary file utilizing hundreds of statistical models.

Use Our Data For:

AIQ data has been successfully leveraged to drive better results in financial services, fundraising, publishing, travel, automotive and consumer products/services.


Data Directory

Are You a Human: A Buyer’s Guide

DATA TYPES: Behavioral

Are You a Human Data 101

The Verified Human Whitelist™ data segment is designed to be layered on top of other targeting and data segments. It ensures that not only will each impression you buy will be served to a verified human, but also that you aren’t paying a premium for fraudulent data.

Targeting Verified Humans increases ROI by up to 25% or more, increases viewability immediately, and eliminates money wasted on fraudulent data.

Description of Data Types

These users are Verified Humans.

Eliminate both Bot Fraud and Data Fraud by layering Verified Humans on top of other targeting and data segments.

Bots surf the Internet picking up cookies that make them appear to be high-value consumers. This includes 3rd-party behavioral and demographic data, and also 1st-party data comprised of bots who pick up advertiser retargeting cookies. Layer the Verified Humans segment on top of these other data segments to eliminate this waste.


Oracle Data Cloud

Collection Methodology:

We identify Verified Humans by placing code on millions of sites. The code detects both human and bot activity on those sites. We analyze each user’s natural behavior and collect hundreds of fingerprinting metrics to determine if the user is human. After a user has consistently been verified as human, they get added to the Verified Human Whitelist™ and are re-verified over and over again each day. Bots can’t consistently look like humans on each page, so they’re never added to the list. This dataset includes only Verified Humans.

This is the only way to ensure that a user is human, and that they stay human over time.

Use Our Data For:

  • Increase ROI: Companies report that targeting campaigns to the Verified Human Whitelist™ increases ROI by up to 25% or more.
  • Eliminate Data Fraud: Bots surf the Internet picking up cookies that make them appear to be high value consumers. This includes 3rd-party behavioral and demographic data, and also 1st-party data comprised of bots who pick up advertiser retargeting cookies. Layer the Verified Humans segment on top of these other data segments to eliminate this waste.
  • Eliminate Non-Human Traffic: Serve ads only to Verified Humans, eliminating non human traffic. See improvement in reports you get from verification companies.
  • Viewability Optimization: Campaigns targeted to verified humans see an immediate increase in viewability. Test campaigns achieved 80% viewability as measured by verification companies - without optimizing for viewability.


Data Directory

Beintoo: A Buyer’s Guide

DATA TYPES: Mobile, International, Auto, Behavioral, Demographic, Financial, Retail, Seasonal, Social/Lifestyle, Travel

Beintoo Data 101

BeAudience powered by Beintoo creates mobile audience profiles by analyzing consumers as they enter and exit proximity signals (beacons, Bluetooth, WiFi, and geofences). The BeAudience engine processes dwell time and proximity signals to profile mobile users with unprecedented accuracy. BeAudience profiles are the first in the market to ingest and understand beacon data. BeAudience profiles can be easily added to your campaign to enhance any mobile media plan.

Description of Data Types:

  • Socio-Demographic Data: users segmentation by Ethnicity, Household Income, Parental Status, Workplace and Place of Residence.
  • Offline Behavioral: breakdown mobile users into verticals and sub-categories by processing data about proximity, dwell time and frequency; top 10 macro categories are: Auto, Business, Dining, Education, Entertainment, Finance, Gaming, Lifestyle, Retail, Travel.
  • Custom Branded Venues: BeAudience can build branded audiences based on the visits to specific venues; i.e.: “Dunkin’ Donut Conquesting”, “Best Buy Passionate”, “Walgreens Visitors” etc.


Oracle Data Cloud

Collection Methodology:

BeAudience SDK processes non-identifiable mobile signals (iBeacons, Geofence, WiFi and Custom Events) with their location by combining dwell time and frequency to build premium audiences. The issues that plague ad serving data are non-existent with our SDK-based solution. Location signals can be captured 24/7, offering the most refined and precise data on the market. All information is stored using a non-identifiable advertising ID on iOS and Android devices respecting local privacy policy.

Use Our Data For:

Use BeAudience for all types of mobile campaigns (display, video, rich media) to enhance targeting and unlock data driven marketing strategy. Exploit the best mobile technology to bolster your audience targeting and optimize your mobile budget. Branded/private audiences can be created for specific advertisers. Location attribution is also available.


Data Directory

Blue Kangaroo: A Buyer’s Guide

DATA TYPES: Auto, Behavioral, Demographic, Financial, Political, Retail, Season, Social/Lifestyle, Travel

Blue Kangaroo Data 101

Blue Kangaroo (“The Roo”):

  • Builds ongoing shopping profiles on each consumer
  • Organizes the resulting buying intent, preferences and context data into segments
  • Sells these audience segments to marketers
  • The Roo acquires data by giving consumers a free personal shopping service in exchange for permission to build a shopping profile. The profile collects an average of 60+ new shopping events/month from a consumer’s shopping activity (mobile/PC) in browser and The Roo app.

Description of Data Types:

Blue Kangaroo provides demographic information as well as affinity rankings for over 2,000 brands and 240 categories from airline travel to women’s shoes. The Blue Kangaroo Interest Scoring System (“BLISS”) provides a score for the user’s buying intent for these brands and categories. The level of interest is based on the recency, intensity and frequency of the users’ activity associated with the brand or category. Our shopping data covers all retail shopping categories.

A sampling of the 240+ audience segments includes:

  • Apparel (men’s and women’s)
  • Automobile
  • Baby
  • Books
  • Electronics (cameras, cell phones, computers, tablets, etc)
  • Financial Services


Oracle Data Cloud

Collection Methodology:

Blue Kangaroo provides a free, personalized shopping service in exchange for receiving permission to collect data from all of the shopping activity conducted on our users’ mobile and desktop browsers. With this permission, collected URL data show where The Roo’s users shop, as well as the products they view. From this data shopping are constructed profiles that provide unprecedented insight into the users’ buying intent by scoring the their interests.

Use Our Data For:

Audience Activity:

  • Segmentation and targeting
  • Product/content and offer customization
  • Analytics and reporting

Use Cases:

  • Brand and product-level affinity
  • High product intent
  • Belong to a particular demographic
  • Cross-brand marketing
  • Life stage marketing


Data Directory

Bombora: A Buyer’s Guide

DATA TYPES: B2B, Auto, Behavioral, Demographic, Financial, Offline, Travel, Analytics, Data Access, International, Partner Initiated ID Syncing

Bombora Data 101

We are the premier provider of Demographic and Predictive Intent Data solutions for 1,000+ of the world’s leading B2B marketers and publishers. Our demographic profiling and patent-pending Content Consumption Monitoring technology provides the only B2B predictive and demographic data platform in the market. Bombora adds scale and empowers B2B marketers to reach new audiences with precision. Our combination of Demographics and Predictive Intent Data is the best solution in market.

Description of Data Types:

We own the largest predictive data pool with more than 4 billion interactions on 400+ million professionals profiled per month.

  • B2B Intent Data
  • Bombora is fully focused on the B2B user. Our widespread contributory B2B data partner network allows us to aggregate Predictive Data to enable our clients to track, score, and bucket B2B unique buying “intent” based upon their multiple on-line business interactions.
  • B2B Demographic Data
  • Our demographic data is categorized by Company Size, Company Revenue, Functional Area, Industry, Roles and Professional Group, which totals more than 250 segments.


Oracle Data Cloud

Collection Methodology:

Bombora captures and aggregates non-PII data for Demographic and Predictive Intent marketing use cases.

  • Demographics - We tag our B2B publisher and partner network so that we collect and convert site visitors into demographic segments.
  • Predictive Intent - We are the largest aggregator of B2B Predictive Data. We tag and monitor the consumption of content across the B2B web, and organize the topics that B2B Professionals research into more than 60+ scalable Predictive Signals.

Use Our Data For:

Our B2B data arms marketers to find and target professionals with relevant messages wherever they travel on-line. Activating our data will arm marketers, publishers, partners, agencies and trading desks to execute numerous marketing cross-channel initiatives including the following use cases:

  • Ad Targeting
  • Custom Segmenting
  • Site-Optimization
  • Analytics


Data Directory

comScore: A Buyer’s Guide

DATA TYPES: Auto, Financial, Travel, Mobile

comScore Data 101

comScore helps businesses create value from digital consumer relationships, giving clients the insights and context they need to build winning business strategies. As a global leader in digital measurement and analytics, the company is redefining the way businesses measure consumer behavior in the marketplace and across their own products and properties, turning big data into insights about the behaviors of people. With more than 1.5 trillion interactions captured monthly (equal to nearly 40% of the monthly page views of the entire Internet), comScore has a strong foundation for applying its modeling methodology to help marketers reach target segments.

Description of Data Types:

comScore’s modeled look-alike segments are made up of consumers who are scored against the probability to convert to your campaign objective. comScore’s modeling methodology utilizes the comScore panel and browsing behaviors across the Oracle BlueKai Exchange to pinpoint in-market prospects who are the most likely to convert, scoring the users based on a variety of attributes. comScore’s models are then broken into centiles within the Oracle BlueKai taxonomy, making for easy, customizable targeting, both for niche and scale.


Oracle Data Cloud

Collection Methodology:

comScore uses its proprietary panel of one million U.S. Internet users to identify consumers who have conducted the behavior a marketer seeks to predict – for example, consumers who have applied online for a credit card – and uses that information to build models that predict that behavior.

Use Our Data For:

The comScore models are designed to identify upper and mid-funnel prospects for acquisition and brand campaigns. The model segments are expected to yield more efficient marketing campaigns where the objective is reaching the “right” consumers early in the consideration cycle.


Data Directory

Connexity: A Buyer’s Guide

DATA TYPES: Retail, CPG, Social/Lifestyle, Seasonal, Demographic, Server-Side Data Transfer Enabled

Connexity Data 101

Connexity (formerly Shopzilla) is a data-driven, marketing-solutions company with 15+ years of e-commerce and media experience. The company operates one of the world’s largest retail marketplaces, with over 155MM product listings indexed and published for online shopping across the globe. Leveraging its premium online retail network, proprietary technology, and advanced audience modeling, Connexity helps brands and retailers find and target the right audiences on any device.

Description of Data Types:

Connexity offers pre-built and custom audiences to drive performance and reach across the following segment types:

  • CNX In-Market (Active online shoppers in all major retail verticals)
  • CNX Lifestyle (Consumers with consistent shopping behavior: Household CEOs, DIYers, Fashionistas, Tech Enthusiasts, etc.)
  • CNX Life Stage (Personas identified by combining shopping and declared demographic data: College Millennials, Getting Married, New Parents, etc.)
  • CNX Seasonal (Ready-to-buy audiences for your promotional calendar: Super Bowl, Mother’s Day, Back-To-School, Black Friday, Christmas, etc.)
  • CNX Demo (Self-declared profile data: Gender, Age, HHI, Children, Education, etc.)
  • CNX Custom (Modeled audiences driven by client pixel data, client CRM data, etc.)


Oracle Data Cloud

Collection Methodology:

Connexity leverages 1st-party proprietary data from its online retail network to create premium audience segments. Connexity collects observed shopping behaviors for active shoppers including category, brand, and product information, as well as declared demographic data from online buyers. Modeled data leverages a graph technology that combines shopping, demographic, technographic, geographic, and site data.

Use Our Data For:

Clients leverage Connexity data to target consumers at various stages on the path to purchase. Brands look to Connexity to drive high engagement levels from unique audiences. Retailers tap Connexity to target prospects and drive sales. Connexity delivers results across the funnel.

Many Connexity audiences are only available via the Private Data Marketplace within Oracle BlueKai. Reach out to your account manager to access Connexity's complete suite of audience offerings.


Data Directory

Cross Pixel: A Buyer’s Guide

DATA TYPES: Auto, B2B, CPG, Financial, Retail, Seasonal, Telco, Travel

Cross Pixel Data 101

Cross Pixel is the leading provider of high-performance audience data for the real-time advertising industry. Our mission is to provide the highest quality data to help marketers improve campaign performance. Utilizing Cross Pixel’s proprietary data management technology, audiences are built with granular and transparent control over where users are harvested and how they qualify to be targeted. This approach drives performance while giving advertisers insight and confidence of authenticity around the data powering their campaigns.

Description of Data Types:

In-Market Shopping Segments – 500+ standard in-market shopping segments identifying users actively shopping for a specific product or service.

Audience Profiles – 450+ psychographic audience profiles identifying users based on a variety of indicative behavioral actions these users make across the web.

B2B Data – 100+ segments identifying people who work for companies across all industries, as well as individuals who work in a variety of functional areas across industries.

Custom Targeting – Cross Pixel creates custom audiences that identify each unique advertiser’s best prospects to target for any given campaign objective. Custom audiences target brand and competitive conquesting keywords and/or behavioral traits.


Oracle Data Cloud

Collection Methodology:

Cross Pixel has developed exclusive partnerships with over 3,000 leading eCommerce, transactional and information web sites, to harvest more than 8 billion data points per month on over 500 million active web surfers. Cross Pixel’s data acquisition strategy is focused on mid- and long-tail sites. Through exclusive partnerships, Cross Pixel harvests an array of unique data points, which are utilized to provide granular information about users’ online behaviors.

Use Our Data For:

Cross Pixel’s data is used to target audiences at each stage of the purchase funnel. Our proprietary audience building tool Audience Calculator creates custom audiences for advertisers based on the unique online behaviors of their target customers. Audiences are optimized in real-time, ensuring that advertisers always target the right audience.


Data Directory

Datacratic: A Buyer’s Guide

DATA TYPES: Creative Optimization, Auto, Behavioral, CPG, Retail, Seasonal, Social/Lifestyle, TelCo, Travel, Geo, Modeling

Datacratic Data 101

Datacratic is a software company that applies machine learning and predictive modeling to real-time data generated from consumer behavior. Datacratic provides this machine learning and optimization software to Data Management Platforms (DMPs), Demand Side Platforms (DSPs), Agency Trading Desks (ATDs), E-Commerce Web Sites and others in the real-time marketing ecosystem.

Description of Data Types:

Datacratic’s modeled look-alike segments are made up of users who have a high probability to convert to your campaign objective. Using a combination of your first party data, and Oracle BlueKai’s 3rd party data users are assigned probability scores. Users with the highest scores are identified by a Oracle BlueKai segment ID and made available for targeting through your preferred media partner.


Oracle Data Cloud

Collection Methodology:

Datacratic does not actually collect data. The Datacratic business model uses your first party data, combined with Oracle BlueKai’s 3rd party data, to feed multivariate, nonlinear models. These models are intended to create a causal relationship between the signals and events inherent in your data and your conversion objective. Datacratic’s models are intended to predict future behavior and identify your best prospects.

To accomplish this, Datacratic uses algorithms that learn from both the presence and absence of segments in a user’s profile. Datacratic also relies on the temporal information, meaning the recency and frequency of segment membership, as core components of the models.

Models are retrained and users are rescored on a daily basis using Datacratic’s online adaptive learning system, thus your modeled segments are constantly improving.

Use Our Data For:

Datacratic look-alikes are ideal for identifying and targeting lower funnel prospects. Datacratic modeled segments tend to perform better where the purchase consideration cycle is at least 1 week or longer.


Data Directory

DataLab: A Buyer’s Guide

DATA TYPES: Demographic, B2B, Auto

DataLab Data 101

At DataLab Digital Advertising, we combine technological expertise with a deep understanding of both online and offline direct marketing. We offer the best of both worlds—a deep knowledge of industry best practices and a commitment to continual innovation. Our award-winning data solutions are based on proven methodologies and keen analytical insight. We offer a mix of proprietary and specialty sourced data utilizing our extensive (and growing) network of key partnerships across the data industry.

Description of Data Types:

DataLab offers access to multiple data solutions to meet a wide variety of marketing needs. We use over 2,500 data attributes to provide timely and actionable information to target better results. Examples of data that we offer include:

  • Vehicle Owner Data
  • > Type of Vehicle (Auto, Motorcycle, Boat, RV)
  • > Make
  • > Model
  • > Owner Demographic Information
  • Insurance
  • > Likely Insurance Renewal and Expiration Dates
  • Business Data
  • > Location
  • > Size
  • > Industry
  • > Sales
  • > Home Based or Non-Home Based


Oracle Data Cloud

  • Pre-Mover Listing Data
  • > Listing Type
  • > Listing Date
  • > Location
  • > Property Type
  • > Property Description

Collection Methodology:

DataLab utilizes strict quality control procedures to ensure that our data is timely and accurate. We compile data from online and offline data collectors and brokers, license data feeds, collect public records, and then aggregate and normalize these records. Once we receive data, it goes through our proprietary DLink™ process that verifies and cleans the names and addresses. This innovative process also compares data across our various sources, ensuring that it meets our quality standards.

Use Our Data For:

Your consumer data and analytics are the key to reaching your business goals—from increasing profits to improving customer loyalty. Typically, marketers have used our data to target segments for increasing response and sales while reducing risk in acquisition programs, retargeting, cross-selling and up-selling customers, retention efforts, and win-back campaigns.


Data Directory

Dataline: A Buyer’s Guide

DATA TYPES: Mobile, Financial, Demographic, Auto, Modeling, Seasonal

Dataline Data 101

Dataline is a leading provider of consumer information, intelligent analytics, and smart modeling applications; offering over 150 pre-built digital audience segments. Our data passes rigid quality control measures to ensure information accuracy.

Dataline specializes in providing marketers customized insights utilizing its proprietary database of 240 million individuals combined with over 1700 highly predictive data variables. Our data mining approach allows us to provide a custom solution for your omni-channel marketing campaigns.

Our digital offering has over 120 million individual consumers with the ability to build and create your own customized digital segments to meet your advertising needs.

Description of Data Types:

The Dataline consumer database has over 250 million individuals segmented into 150+ pre-built digital audience segments. Updated monthly, we offer:

  • Transactional Buyer Audiences
  • > Back to School
  • > Bargain Shoppers
  • > Apparel
  • > Men’s Big & Tall
  • > Men’s Apparel
  • > Women’s Petite Size Apparel
  • > Women’s Plus Size Apparel
  • > And many others…
  • Demographic data; age, income, and generational
  • Automotive data; make and year of automobile


Oracle Data Cloud

  • Credit Card Holder Data
  • Magazine Subscribers by Type
  • Enthusiasts/Lifestyle Data
  • Donor Causes
  • Purchasing Interests: Auto, Home Décor, Cooking, Beauty, Diet, Entertainment, and many others...

Collection Methodology:

The Dataline Database is sourced from actual purchasing transactions. Our data resources are secured through licensing arrangements with blue chip companies offering monthly transactional data. Our specific segmentations are available exclusively through Dataline. Dataline is offline sourced and onboarded through a partnership arrangement. With close to 300 million individuals – we can offer your advertiser insight and scale.

Use Our Data For:

  • Online audience targeting campaigns
  • Custom segments
  • Products sold through major brands
  • National branding campaigns
  • Mobile Campaigns
  • Omni-Channel marketing campaigns
  • Product development
  • Consumer insights


Data Directory

Datamyx: A Buyer’s Guide

DATA TYPES: Auto, Financial, Offline Match

Datamyx Data 101

Datamyx is a leading provider of data-driven marketing solutions primarily serving the financial services, automotive and insurance verticals in the United States. We offer a unique, multi-sourced repository of over 4,000 data points, including over 40 proprietary insight scores. For over 17 years, direct marketers have benefited from our powerful combination of multi-source data, analytics and technology to help marketers find, convert and grow customer relationships.

Description of Data Types:

Datamyx provides digital audience segments with a focus on the finance, automotive and insurance categories. Our automotive audiences are built from a database of comprehensive auto ownership insights, matched to VIN and Black Book valuation, and acquisition date. The auto dataset includes over sixty makes and hundreds of models, and digital segments are further optimized based on consumers more likely to respond to automotive ads. Financial audiences include consumers likely to act on mortgage-related, bank card, liquid asset-driven and other financial product ads. Insurance segments include consumers likely prepared to respond to home and auto insurance offers.


Oracle Data Cloud

Collection Methodology:

In adhering to strict privacy principles, Datamyx’s data is built entirely from the modeling of non-sensitive, offline consumer information and onboarded (i.e. matched to anonymized cookies/IDs) to enable accurate digital ad targeting. We leverage over 4,000 data points from proprietary sources, and over 40 proprietary insight scores to build audience segments. We further optimize segments based on consumers who are more likely to respond to ads/marketing offers.

Use Our Data For:

Datamyx’s data is appropriate for mid- and upper-funnel campaigns. The data is ideal for marketers seeking to reach consumers likely to respond to financial, automotive and insurance-related offers. Our consumer insights are accurately built based on offline (real world) ownership information and activity (e.g. automotive brand/category ownership, bank card affiliation).


Data Directory

DataXpand: A Buyer’s Guide

DATA TYPES: Auto , B2b, Behavioral, CPG, Demographic, Financial, Retail, Seasonal, Social/Lifestyle, Travel, International, Mobile

DataXpand Data 101

DataXpand is an International Audience Marketplace with truly global scale and reach. DataXpand provides rich data from previously untouched markets including Europe, Brazil & Latin America, as well as US data.

Through our premium publisher partners, we create the best and most reliable audience clusters based on how users browse, search, and show interest or intent. Within our data sets consideration for language, age, and gender are top priority. Also available are custom segments & seasonal audiences.

Description of Data Types:

DataXpand provides access to over 170 audience clusters grouped into the following categories:

  • Demographics
  • Interest
  • Intent
  • US Hispanics – Interest
  • US Hispanics – Intent
  • Seasonal Audiences
  • Custom Audiences

Examples include:

  • Automobile Intenders
  • Travel Intenders, Business & Finance
  • US Hispanics Interest and Intent
  • Male & Female audiences
  • Fashion & Beauty
  • CPG
  • Credit card holders & online shoppers
  • Sports fans: Football, Soccer
  • Parenting / Presence of Children
  • Technology Enthusiasts, Cell Phones, Computer Intenders
  • Real Estate Intenders
  • And many others…


Oracle Data Cloud

Collection Methodology:

DataXpand collects online data through our premium publisher partners. We strive to create the best and most reliable audience clusters based on the following:

  • Interest and Intent, ie: A user reading about the launch of new Ferrari has Interest in cars. An individual who visited “” or similar looking for a specific vehicle, maybe “Audi A4”, and contacted the seller is categorized into Intent to purchase luxury cars.


  • Browsing Behavior
  • Search retargeting
  • Social Media Usage
  • Offline Data
  • All non-PII data

Use Our Data For:

All DataXpand audience segments are updated in real time and last between 15 to 30 days. Our segments are best used for Web and Mobile (branding or performance) campaigns that aim to improve response rates, conversion and brand recognition.


Data Directory

DeliDataX: A Buyer’s Guide

DATA TYPES: Auto, B2B, Behavioral, Demographics, Financial, Social LifeStyle, International

DeliDataX Data 101

DeliDataX is a data network with focus in Latam and Spanish markets. We use a wide set of sites to collect our data, enabling advertisers to improve their campaigns by targeting extremely optimized audiences. Our partners provide categories that have high affinity with Comscore, with a focus in Spain and Latam. Our data has been repeatedly and successfully benchmarked for our clients and their brands.

Description of Data Types:

DeliDataX delivers intent-based segments and interest segments, as well as social data segments. We have particular strengths and focus on SME’s, entrepreneurs and sociodemo, where our publishers have proven relationships with their visitors. We also offer a wide segment of directory services for SME’s, Real Estate, Leisure, Finance and Parenting verticals, including:

  • Sociodemo (registration data)
  • Interest (behavioral)
  • Intent (behavioral)
  • B2B (behavioral)


Oracle Data Cloud

Collection Methodology:

Our data has a high affinity with our segments of focus, and is refreshed on a routine basis. Our data acquisition is based on a very strong relationship with mid -sized and large vertical websites. These websites are independent, meaning they have no affiliation to a specific brand. This provides Delidatax reliability, in that all of our data comes only from main websites, the most trusted source.

DeliDataX data segments have the following refresh times:

  • Demo  (45 days)
  • Interest  (15-30 days)
  • Intent  (5-10 days)

Use Our Data For:

DeliDataX categories help advertisers grow target audiences, convert prospects and increase ROI. Our high affinity matching with Comscore helps to develop eGRP strategies. Further, DeliDataX data provides powerful predictive audiences to recent category buyers.


Data Directory

Dun & Bradstreet: A Buyer’s Guide

DATA TYPES: B2B, Offline Match

Dun & Bradstreet Data 101

Dun & Bradstreet is the world’s leading source of commercial and business insight. Powered by a global database of 240 million business records, our propriety D-U-N-S number and DUNSRight quality process, data integrity is the foundation of all of our solutions.

This rigor and expertise now extends to digital marketing via our best-in-class Audience Solutions. Leveraging D&B’s assets and quality assurance processes enables us to provide a range of digitally addressable audiences for B2B marketers.

Description of Data Types:

Dun & Bradstreet Audience Solutions provides over 260 actionable audience segments to suit a range of B2B online targeting needs. These segments include:

  • Company
    > Employee size, revenue size, maturity
  • Industry Classifications
    > SIC and NAICS industry categorizations
  • Functional Area
    > Area of responsibility and domain expertise
  • Seniority
    > Business or equivalent organizational seniority
  • Decision Makers
    > IT, Financial and business decision makers


Oracle Data Cloud

Collection Methodology:

Dun & Bradstreet aggregates, curates and synthesizes over 30,000 data sources globally, including contact-level data made available on an anonymous basis to customers for offline sales and marketing. Audience Solutions takes that process a step further, bringing offline data online, using methods compliant with the highest standards of PII protection and privacy. Audience Solutions continually discovers, evaluates and harmonizes new data sources, leveraging proprietary technology to offer continually expanding addressable audiences for the B2B marketer.

Use Our Data For:

For the B2B marketer, Audience Solutions data provides a powerful facility to discover, engage and verify professional audiences online though programmatic and non-programmatic buying, and on-site visitor engagement. For direct response or awareness, use our digital audience data to eliminate waste when seeking high-value, hard-to-reach audiences in digital channels.


Data Directory

Evite: A Buyer’s Guide

DATA TYPES: Behavioral, Seasonal, Social/LifeStyle

Evite Data 101

With more than 22 million registered users and over 25,000 invitations sent each hour, Evite is the top online invitation and social planning website.

Select your invitation design, add your guests’ email addresses and send via email. Done. You choose the invitation features you want, and your guest replies are tracked automatically so you always have an accurate headcount.

Description of Data Types:

Our data sets are pulled from by Evite hosts and guests data. Evite data sets include the following segments:

Segment Defined as Host or Guest of:
Presence of Child in Household Kids Birthday, Babys first Bday, Kids Corner, Kids themes, Halloween for Kids
Age of Child in Household Title scrape for numbers (1st, first, First) in Host of Bday for Kids, Age assumed to be 1 for Host of Baby's first
Recent Movers/ Furnishers Housewarming Party
Bride Save the Date
Wedding Attendee Wedding/ Engagement, Bridal Shower, Bachelor, Bachelorette Party, and Save the Date


Oracle Data Cloud

Segment Defined as Host or Guest of:
Pre-Natal/ Expecting Baby Shower
Upcoming Birthday Upcoming Birthday, Birthday for Her, Birthday for Him
Recent Graduate Graduation
Sports Enthusiast Sports/ Leagues
Home Entertainers Hostess Party, Dinner Party, Cocktail Party, House Party, BBQ/ Pool Party, Pot Luck, Game Night
Travel Intenders Trips/ Getaways
Halloween Halloween Party
Winter Holidays Winter Holiday Party
Super Bowl The Big Game Party
Thanksgiving Thanksgiving Feast
Religious Religious Event
Alcohol Enthusiast Girl's Night, Guys Night, Cocktail Party, Bachelor, Bachelorette, Night on the Town
Food Enthusiast Dinner Party, Potluck, Brunch/ Lunch, BBQ

Collection Methodology:

Data is logged around any discreet event attendee (host/ guest, occasion, location, etc…). Inferences are made based on the criteria specified above.

Use Our Data For:

Use Evite data for demographic augmentation or purchase intent. The value of Evite data is that our users have taken a direct action to indicate where they will be and what they will be doing at a date in the future.


Data Directory

Experian & Experian UK: A Buyer’s Guide

DATA TYPES: Auto, B2B, Behavioral, CPG, Demographic, Financial, Retail, Seasonal, Social/Lifestyle, Travel

Experian & Experian UK Data 101

Experian Marketing Services and Experian Marketing Services UK together form a leading global provider of consumer insights, targeting, data quality and cross-channel marketing. We help organizations intelligently interact with today’s empowered and hyperconnected consumers. By helping marketers identify their best customers, find more of them and then coordinate seamless and intelligent interactions across the most appropriate channels, Experian Marketing Services’ clients can deepen customer loyalty, strengthen brand advocacy and maximize profits.

Description of Data Types:

Experian’s vast inventory of syndicated, pre-built audience segments include auto, business, ethnic insights, financial, housing, life event, moms, past purchase, psychographic, social network behaviors, and more. The most commonly used data segments include:

  • Demographic:
  • Includes age, gender, income, occupation, and education.
  • Mosaic USA® Lifestyle Segmentation System:
  • Defines US consumers into 71 unique segments. This household level classification system includes sociodemographic, lifestyle, behavioral and cultural information on each consumer segment.


Oracle Data Cloud

  • TrueTouch?:
  • Defines consumer response to motivational messages. Helps advertisers align offers based on consumer values and attitudes.
  • Housing Attributes: These property and realty models predict a consumer’s estimated current home value.

The following Experian UK segments are available:

  • Mosaic UK
    Mosaic segments the UK population into one of 15 high level groups or 66 detailed types based on their demographic, characteristics, lifestyles and behaviours.
  • Financial Strategy Segments
    FSS segments the UK providing customer insight across financial products such as savings, investments, insurance, credit and banking enabling highly targeted marketing.
  • Other variables available
    Age Groups, Social Grade Bands, Family Lifestage, Employment Status, Personal Affluence Band, Marital Status, Households with Children
  • Mosaic Reach
    Reach is a simplified group level view of the UK consumer. Consisting of just seven audiences, it describes UK consumers in a valuable but easily understood way.


Data Directory

Experian & Experian UK Continued

Collection Methodology:

Experian draws on a massive base of knowledge accumulated during five decades in business. We maintain a wealth of information about consumers and how they make buying decisions. We compile data from more than 3500 public and propriety sources. These sources include self-reported information, aggregated panel data, websites that have permission to share information about visitors, public records and historical retail purchases that are collected offline and then brought online through propriety online data partnerships.

Use Our Data For:

Brand marketers from the retail, financial services, media, telecom, and other industries use Experian’s addressable audiences and data to improve targeting precision and predictability. Insights such as income, to confirm ability to purchase, or models, to predict the likelihood of purchase, help advertisers execute more effective retention and acquisition campaigns.


Oracle Data Cloud


Data Directory

Financial Audiences: A Buyer’s Guide

DATA TYPES: Financial

Financial Audiences Data 101

FinancialAudiences™ – by Dean Media Group, is an audience management and targeting platform designed to help financial marketers and publishers maximize their audience data. In collaboration with exclusive publisher partners, we’ve created an industry first, financially focused audience data set designed to make marketing simple and intuitive for marketers looking to target people in-market for financial products and services.

Description of Data Types:

FinancialAudiences™ data is hyper-segmented into 200+ targetable audience segments all derived from four primary categories:

  • Personal Finance – insurance, lending/credit, banking, retirement, real estate and more
  • Business Finance – small to mid-sized business owners in-market for anything from insurance to lending/credit and banking
  • Individual Investing – online investors and active traders with high investable assets interested in a variety of markets
  • Professional Investing – professional investors, wealth managers and financial advisors broken out by type
  • Custom Audiences – custom audiences can be created “on demand” across all segments, including demographic and geographic overlays


Oracle Data Cloud

Collection Methodology:

Our audiences are built with data collected from exclusive and financial-focused publisher partners. All audiences are built with a combination of:

  • Content – website content categories, pages, site searches and more
  • Behaviors – comments, shares, recency, frequency, media views and ad interactions
  • Registrations – subscriptions, purchases and more

Use Our Data For:

Successful marketing partners include trading education companies, brokerages, asset management firms, banks, exchanges and more for both brand and direct-response campaigns.


Data Directory

Forbes: A Buyer’s Guide

DATA TYPES: Auto, B2B, Financial, Offline Match, Political, Seasonal, Social/Lifestyle, Telecommunications, Travel

Forbes Data 101

Serving as the world’s definitive source for business and finance news since 1917, Forbes and its Premium Data Platform offer unparalleled access to a highly affluent and connected audience of insiders, innovators and influencers. Advertisers look to Forbes for exclusive access to the business community and the rest of the world’s elite with custom built, highly specified segments and exclusive targeting solutions.

Description of Data Types:

Forbes Premium Data is arranged by channel and section in correspondence to Channels include Business, Investing, Technology, Entrepreneurs, Opinion, Leadership, Lifestyle and Lists. Each channel contains an array of more specific sections covering topics as diverse as Sports & Leisure, Travel, Autos, Personal Finance, Intelligent Investing, Mobile, CEO Network and Style & Finance.


Oracle Data Cloud

Collection Methodology:

Using carefully verified, behavioral targeted date on the Forbes Premium Network, advertisers can pick and choose from over 80 unique Channels and Sections to create custom, highly optimized segments. This first-party data can reach audiences broad or niche.

Use Our Data For:

Forbes Premium Data works best when segments are mixed and matched to create custom audiences of business and finance professionals and affluent consumers.


Data Directory

GfK: A Buyer’s Guide

DATA TYPES: Political, Demographic, Financial

GfK Data 101

GfK MRI’s National Study, the Survey of the American Consumer®, provides a detailed view of the 226 million adult consumers in the US – their media choices, detailed demographics, consumption of over 6,500 products in nearly 600 categories and 1600+ lifestyle and psychographic questions and segmentations. Our segments are extracted from this national study.

Description of Data Types:

GfK MRI offers attitudinal segments covering a variety of consumer behavior and interests, including buying styles, food attitudes, health attitudes, technical attitudes, cellular/mobile attitudes, vacation/travel attitudes, fashion & style attitudes, and financial attitudes.


Oracle Data Cloud

Collection Methodology:

The GfK collection methodology includes:

  • Dispersed area probability samples
  • Elimination of cell-phone only and internet sample limitations
  • Inclusion of adults 18+ living in private households
  • A collection of 25,000+ respondents per year in 48 states
    * Only one adult from each household is surveyed
  • Inclusion of personal interview data focused on media & demographics
  • And finally, leave-behind “product booklets” with questions on: products, brands, lifestyle, psychographics, are compiled

Use Our Data For:

  • Targeting
  • Media planning and buying
  • Consumer insights
  • Customer acquisition and retention
  • Product development
  • Marketing mix strategy


Data Directory

i360: A Buyer’s Guide

DATA TYPES: Political, Demographic, Financial, Data Access – Audience On, Server Side Data Transfer Enabled

i360 Data 101

i360 is the leading data and technology resource for the pro-free-market political and advocacy community. From its database of 190+ million active voters and 250+ million US consumers, with hundreds of data points on American adults, i360 arms advertisers with a wealth of data on partisanship, economic and social issue alignment, and personal characteristics to target audiences with precision and deliver results at the polls.

Description of Data Types:

The i360 Online Segments are custom-tailored for the political and advocacy communities. Segments include:

  • Registration & Partisanship
    Registered, Unregistered and Newly Registered Voters; Primary Voters; Republican, Democrat, Independent, and Swing Voters
  • Propensity or Likelihood to Vote
    High, Mid and Low
  • Issues
    Fiscally Conservative – Spending and Debt, Fiscally Conservative – Tax, Fiscally Liberal - Tax; Pro 2nd Amendment Voters; Likely Pro-Choice and Likely Pro-Life; Likely Supportive of Same Sex Marriage, Likely Supportive of Traditional Marriage; Oppose Obamacare, Support Obamacare and Undecided on Obamacare
  • Personal Demographics
    Gender; Age; Income and Wealth; Home Ownership; Children in the Home; Marital Status; Investment Voters; Sports and Gambling Interests


Oracle Data Cloud

Collection Methodology:

i360 was built with a goal of maintaining a constantly updated database of voter information from states and counties across the country. Layering in hundreds of consumer data points from leading data providers, census data, precinct level election returns, and political identification and coalition data, i360 processes 4 billion+ records a year.

i360 modelers then work with industry-leading software companies to build predictive models around partisanship, vote propensity and issue alignment, answering unknowns where hard data points are unavailable.

Use Our Data For:

i360 data is used by pro-free-market political and advocacy organizations to target and reach voters and prospective voters with content and creative that speaks to their alignment and issue affiliation. Political, lifestyle, issue, and demographic segments can be leveraged to target audiences with precision and serve meaningful content across every channel.


Data Directory

i-Behavior: A Buyer’s Guide

DATA TYPES: International, Mobile, Auto, B2B, Demographic, Financial, Offline Match, Political, Retail, Seasonal, Social/Lifestyle, Travel

i-Behavior Data 101

i-Behavior data is primarily sourced from a data cooperative. This cooperative collects SKU level POS data from contributing merchants, retailers, financial services firms, insurers, catalogers, non-for-profits, etc. In addition, i-Behavior data includes sources covering B2B, demographic, psychographic, media consumption, and social media interests all connected at the individual level. Data includes:

  • US: 3,000+ data contributors; 190+ million consumers
  • Canada: 2400+ data contributors; 14+ million consumers
  • UK: 150+ data contributors; 33+ million consumers
  • France: 200+ data contributors; 22+ million consumers
  • Brazil: 70+ data contributors; 80+ million consumers


Oracle Data Cloud

Description of Data Types:

  • Purchase Data: Point of Sale data from multichannel down to the SKU level as identified by data contributors.
  • Demographic Data: Information collected by Amerilink.
  • Psychographic: Information collected by print consumption, 3rd party research, and purchase data (ex: eco-luxury travelers subscribe to travel magazines, self report on trips taken, frequently book foreign travel, and donate to environmental causes)
  • Media Consumption: print subscriptions, book purchases, video purchases, TV viewership
  • B2B: Products and services
  • Social Media Interests: activity on social media platforms.

Collection Methodology:

The data cooperative gathers SKU-level data from various data contributors, which is de-identified and anonymized for digital targeting.

Use Our Data For:

Create custom built audiences driven by consumer or research insights. I-Behavior syndicated data is effective for branding and customer acquisition campaigns in Retail, CPG, Financial Services, Telecom, Insurance, Health Care and Auto.


Data Directory

IRI: A Buyer’s Guide

DATA TYPES: CPG, Demographics, Mobile, Retail, Offline Match

IRI Data 101

IRI is a leader in delivering powerful market and shopper information, predictive analytics and the foresight that leads to action on behalf of more than 95% of Fortune 100 consumer packaged goods (CPG) and retail companies.

IRI’s ProScores™ for BlueKai enables media buyers to laser-focus their campaigns on verified high-propensity brand buyers.

Description of Data Types:

IRI ProScores™ identifies the top spending shoppers across CPG categories, subcategories and brands for every U.S. household. To determine each household’s spend, IRI combines its own proprietary data sources with those from trusted third parties, which are then fed into a highly advanced predictive modeling engine.

Collection Methodology:

IRI ProScores drives improved audience targeting across the digital landscape. The data nucleus of ProScores™ is the IRI Consumer Network™, a national consumer panel, which is the industry standard for understanding what shoppers consume across the CPG space. IRI also layers in highly dimensional demographics from Experian to fine tune our scoring accuracy.


Oracle Data Cloud

Years of research and a track record of more than 500+ purchase-based targeting campaigns demonstrates that using our concise representation of the spend in a CPG category, subcategory or brand improves targeting effectiveness over disparate, ever-changing individual data elements.

Use Our Data For:

IRI ProScores™ helps CPG advertisers understand the market, develop smarter targeting strategies, and increase the productivity of digital marketers and their advertising investments. IRI ProScores™ can be used to target shoppers who:

  • spend a lot in your category or brand
  • spend a lot on competitive brands
  • spend a lot at specific retailers


Data Directory

IXI: A Buyer’s Guide

DATA TYPES: B2B, Credit, Auto, Demographic, Financial, Offline Match, Retail, Seasonal, Travel, Telco, Mortgage, Restaurants

IXI Data 101

IXI Services, a division of Equifax, offers Digital targeting solutions that enable marketers to better deliver the right message to the desired target audience based on visitors’ likely financial interests and profiles. A leader in delivering marketing solutions based on anonymous, aggregated wealth and asset data, IXI Services enables consumer segmentation according to a wide array of financial metrics, including investment behaviors, spending levels, and other financial characteristics.

Description of Data Types:

Consumers’ financial situations have an enormous impact on their ability to make investment decisions and spend on discretionary items. Money matters!

IXI Services offers digital targeting solutions that enable marketers to better deliver the right message to the desired target audience based on visitors’ likely financial interests and profiles.


Oracle Data Cloud

IXI is the only data source based on direct measurement of 43% of U.S. consumer invested assets. We help marketers reach audiences based on likely financial propensity and purchase interests. Segment are based on investment behaviors, spending levels, other financial characteristics and a range of product propensities like retail, travel, auto, and more.

Collection Methodology:

To enable advertisers and agencies to target audiences online with ease, we have built intuitive targeting segments based on our proprietary measures of households’ financial capacity, propensities, preferences, and behaviors. These segments leverage IXI Services’ foundation of direct-measured asset data, aggregated credit information from Equifax, and our proprietary segmentation systems.

Use Our Data For:

With IXI Services Digital Targeting Segments, advertisers can target online audiences using a range of financial and behavioral characteristics, as well as industry specific segments for industries such as small business, auto, insurance, retail, telecommunications, credit cards and travel. We can also build customized segments to match specific client needs.


Data Directory

Kantar Media: A Buyer’s Guide

DATA TYPES: Creative Optimization, Auto, CPG, Demo, Financial, Retail, TV

Kantar Media Data 101

Kantar Media TGI studies consumers: who they are, why they behave and make choices as they do and how best to reach them. In 70 countries, we deliver the most comprehensive insight into online and offline consumer behavior to advertisers, agencies and media owners.

To enable effective programmatic solutions TGI partners with KBM Group, whose world-class marketing solutions integrate offline and online marketing channels, allowing companies to achieve high-performance customer engagement and marketing ROI.

Description of Data Types:

TGI Ad-Vantage informs online campaigns around characteristics as discriminatory as consumer lifestyles, product usage and attitudes, drawn from the comprehensive consumer insight available through our TGI study.

TGI Ad-Vantage comprises standard and bespoke solutions. Our standard segments comprise pre-defined targets for online targeting. There are over 50 of these pre-defined targets available, fulfilling a very broad range of targeting requirements.

Examples of pre-defined groups include consumers who love to buy new gadgets and appliances, consumers who buy free range food and drink, cinema goers whose favourite film genre is thrillers and households who spend over £70 on the weekly grocery shop.


Oracle Data Cloud

Collection Methodology:

TGI conducts thousands of interviews annually on a representative sample of adults. Data collection is by questionnaire following initial face-to-face qualifying interview.

After creating a consumer target on TGI, the variables that best define it are identified by KBM Group who then pinpoint lookalikes in their own consumer transactional database.

KBM Group then undertakes modeling, linking data from the TGI target to cookie data at the individual level, before delivering cookies to reach the target online.

Use Our Data For:

Use Kantar Media data for the following:

  • Identifying and reaching richly-defined consumer target groups online, built from real characteristics and behaviour, not just their online user journeys
  • Creating campaigns around consumer lifestyles, product usage and attitudes prompting particular online behaviour
  • Realising brand building opportunities that would otherwise be missed, by reaching attitudinally and motivationally driven targets


Data Directory

Lotame: A Buyer’s Guide

DATA TYPES: Auto, Behavioral, CPG, Demographic, Financial, Political, Retail, Seasonal, Social/Lifestyle, Travel, Video

Lotame Data 101

Lotame’s 3rd party SMART Data comes from our extensive network of publisher partners and offline aggregators. The data consists of self-declared and demonstrated behavioral data from unique publisher partners, yielding accurate and scalable Demographic, Behavioral Interest, and Social influencer audience segments. Lotame Smart Data bundles 100% declared and demonstrated data (NOT panel-based, modeled, or inferred) into over 2200 audience segments across all major verticals (Auto, Travel, Finance, Retail, CPG, Technology, and more).

Description of Data Types:

  • Demographics: 100% Self-declared by a user on a profile or registration, and matched with offline sources
  • Behavioral Interest: This data is self-declared or demonstrated by a user’s actions on a publisher. Completed actions include articles read, on-site searches, clicked on, searched for and any other action a user could complete on a page
  • Social Influencer Action: users that frequently complete social actions that others online can see, such as sharing, rating, posting, or commenting
  • Offline CPG Purchase: through anonymous onboard partners, Lotame can provide targeting based on CPG purchases in-store


Oracle Data Cloud

Collection Methodology:

Lotame audiences are primarily collected from our extensive group of publisher partners. Partners place proprietary Behavioral Collection Pixels (BCP's), allowing us to collect demographic, interest, action, search, purchase intent, and other data points. Our BCPs enable the collection of more than 2 billion data points/day while organizing them into 2200 categories of human behaviors.

Offline Purchase Audience taxonomy is collected in partnership with online-offline onboarding partners who anonymously match in-store purchases to online cookies for targeting.

Use Our Data For:

Our Audience segments are designed to cover every major vertical. Including:

  • CPG
  • Automotive
  • Travel
  • Finance
  • Green Living
  • Gamers
  • Advocacy
  • Entertainment
  • Fashion
  • Technology

Ideal use-cases are top-of-the-funnel, brand advertisers looking to reach large audiences and generate awareness, intent, likelihood to recommend/purchase, and view.


Data Directory

MasterCard Advisors: A Buyer’s Guide

DATA TYPES: Travel, Seasonal, Retail, Demographic, Offline Match, Mobile Data

MasterCard Advisors Data 101

MasterCard Audiences are powerful behavioral based segments derived from actual anonymized transaction data. Advertisers are enabled to reach the most relevant consumer populations based off of real world spending insights.

MasterCard’s standard segments are available in three categories. Leverage insights from the power of aggregated spend data to identify: (i) ‘Top Tier Spenders’, (ii) ‘Frequent Transactors’ & (iii) users ‘In the Market’ to spend by category.

Maximize your ROI with MasterCard standard, seasonal or custom insights.

Description of Data Types:

MasterCard Audiences are available across any category where MasterCard credit cards are accepted.

Standard categories include:

  • Auto – New, Used Vehicle Sales, Fuel spend…
  • Hotel – Upscale, Midscale, Motel, Casino…
  • Travel – Business, Domestic/International Air, Cruise, Car Rental…
  • Retail – Consumer electronics, Sporting goods, Apparel, Department Stores…
  • Entertainment – Movies, Streaming Services, Console/PC gaming…
  • Restaurant – QSR, Midscale, Fine Dining…
  • Home Goods – Furniture, Mattresses, Fixtures & Accessories…
  • Luxury – Travel, Retail, Hotel…
  • Professional Services – Plumbing, Electricians, Accounting, Tax, Legal, Advertising…


Oracle Data Cloud

Reach users in these categories based on heavy or frequent historic spending or a statistical propensity to spend.

Collection Methodology:

MasterCard Audience data is collected through brick & mortar, e-commerce & mobile transactions processed by MasterCard Worldwide’s global payment card network.

MasterCard cleanses and aggregates transactions with 2,000,000+ automated rules to classify spending data in real-time. No PII is collected or leveraged in MasterCard’s processes. Data is associated with cookie populations through a proprietary ‘privacy by design’ double blind matching process.

Use Our Data For:

When you need to reach the right audiences without inferred modeling, MasterCard Audiences are the “best in class” choice. Use insights from verified, reliable and anonymous credit card transaction data to power prospecting, acquisition and category specific paid media efforts. MasterCard Custom Audiences allow for unparalleled customization such as competitor conquesting, re-activation of lapsed customers and more.


Data Directory

Media Source Solutions: A Buyer’s Guide

DATA TYPES: Creative Optimization, Auto, B2B, Behavioral, CPG, Demo, Financial, Retail, Travel

Media Source Solutions Data 101

Media Source Solutions developed a company culture evolving around the credo “yes we can.” Back in 2003 when we first started, we believed if we offered fresh, niche, targeted data we could carve a place for ourselves in an already crowded marketplace. Our faith that “yes we can” and expansion to include new products and services translated into 10+ years of success and continued growth. Areas of specialty include CPG, In-Market, Automobile, B2B and Underserved.

Description of Data Types:

Our Taxonomy contains over 800+ segments that can be used to build custom audiences. Our gender segment is particularly strong and has proven to be a stand out!

  • CPG – Reach consumers who have made multiple transactions by category. It can be overlaid with any of our other segments.
  • In-Market – Reach consumers who have raised their hands to say they are ready to buy by product.

Other categories include:

  • Education
  • Donors
  • Home Improvement/DIY
  • Finance
  • Underbanked
  • Low Sugar/Low Fat
  • Cooking/Food
  • Travel
  • Baby Boomers
  • Millennials
  • Pet Owners
  • Health & Exercise
  • Automotive
  • Age
  • Income
  • Gender
  • B2B and many more!


Oracle Data Cloud

Collection Methodology:

We collect offline data from reliable unique sources using several large consumer databases built from “self declared” information, transactional, retail and other direct response methods. In addition, we also receive daily information that provides us with many different attributes including demographic, lifestyle, CPG and behavioral data. This results in exclusive, fresh data sets being used for highly effective targeting to the most responsive of consumers. Much of this segmentation is available exclusively through us.

Use Our Data For:

We brought millions of offline records online to help build unique campaigns. Paraphrasing Buzz Lightyear, our data can be used to Infinity and Beyond! Maybe our reach isn’t quite that broad but it’s ideal for large-scale campaigns, targeting life stages and combining segments to create specialized blends of data.


Data Directory

Merit Direct: A Buyer’s Guide


Merit Direct Data 101

MeritDirect is a leading provider of global multi-channel B2B solutions, offering integrated marketing through a wide array of products and services. Multi-channel B2B marketers achieve and maximize superior return through MeritDirect's Customer Acquisition and Retention, Data and Media Services, Strategic Services Group and International Services.

Description of Data Types:

Your direct connection to the leading markets:

  • Construction
  • Ecommerce
  • Engineering
  • Finance
  • Government
  • Healthcare/Pharma
  • Human Resources
  • Information Technology
  • Manufacturing

Reaching key decision-makers and influencers:

  • C-Level Management
  • Senior Management
  • Middle Management
  • HR, Benefits, Training
  • IT Management
  • And more…

Also available:

  • Business Industry
  • Company Size
  • Company Sales
  • Functional Area / Job Function

Quality, Market Leading Source Data:

  • Online email newsletter registrations
  • Magazine subscribers
  • Online buyers
  • Catalog buyers
  • And more…


Oracle Data Cloud

Collection Methodology:

MeritDirect data-driven solutions are powered by proprietary cooperative first-party databases from prestigious B2B publishers, catalogers and online merchants. MeritDirect combines multiple data feeds to create a unified, proprietary online B2B database called OmniDIGITAL.

Our data is vetted and validated to ensure top quality across all data sources including self-reported online registration data. Furthermore, our segments are refreshed constantly as cookies change due to browsing patterns of business professionals.

Use Our Data For:

MeritDirect can develop brand mindfulness and drive qualified B2B leads. Merit's premium data works best when portions are blended and matched to make custom segments for both wide-based or niche selections.

Take advantage of Merit's unparalleled OmniDIGITAL online B2B audience for accurate targeting and segmentation for acquisition, branding/awareness and retention campaigns.


Data Directory

Neustar: A Buyer’s Guide

Neustar Data 101

Neustar, Inc. (NYSE: NSR) is the first real-time provider of cloud-based information services and data analytics, enabling marketing and IT security professionals to promote and protect their businesses. With a commitment to privacy and neutrality, Neustar operates complex data registries and uses its expertise to deliver actionable, data-driven insights that help clients make high-value business decisions in real time, one customer interaction at a time. More information is available at

Description of Data Types:

Neustar AdAdvisor® Audiences help marketers go beyond mere demographics — and provides the most trusted offline data source for cross platform targeting. Neustar AdAdvisor® offers approximately 16,000 audience profiles to enable marketers to target a portion of the U.S. population that indexes high for a particular behavior, characteristic, opinion or brand preference to meet their specific campaign objectives.

Our audience profiles span the following categories:

  • Automotive
  • Beauty Products
  • Beverages
  • Demographics
  • Education
  • Entertainment
  • Grocery
  • Healthcare Products
  • Hobbies & Interests
  • Home Improvement
  • Household Products
  • Life Events
  • And more…


Oracle Data Cloud

Collection Methodology:

Our comprehensive audience data is built by linking over 80 million interconnected data components, updated daily from over 200 data providers, to create the most accurate and rich dataset available. Our data is corroborated using over 2 million inbound updates to provide accurate, actionable audience data.

Our methodology deterministically links identities for approximately 220 million adults and 120 million U.S. households to online cookies and mobile advertising identifiers to enable effective targeting—without compromising privacy.

Use Our Data For:

Marketers rely on AdAdvisor® to accurately target prospects most likely to have an affinity for a brand, product, or service, to launch competitive conquesting campaigns, and to reach micro-segments, like customers with a specified buying power or prospects who recently moved. Our audiences help marketers optimize their digital ad spend.


Data Directory

Profound Networks: A Buyer’s Guide

Profound Networks Data 101

Profound Networks engages in Internet scale monitoring and analysis of publicly available corporate networks and creates actionable data assets for competitive advantage in the telecom and IT verticals.

Description of Data Types:

  • Network Growth: Target Companies growing their online network at specific rates.
  • Device Count: Segment companies by # of devices on their public network.
  • eCommerce: Target companies using specific eCommerce platforms.
  • Web Analytics and Tracking: Target companies leveraging specific website and tracking platforms.
  • Advertising: Target companies monetizing traffic with specific advertising platforms.
  • Social Networks: Target companies that have built on Social Networks.
  • Hosting Provider: Target companies by their website hosting provider.
  • Cloud Provider: Target companies by their Cloud Provider(s)
  • Content Management System: Reach companies by specific CMS platform.


Oracle Data Cloud

  • Email Provider: Target companies by their email provider and server being utilized.
  • SSL Vendor: Segment companies by their SSL provider.
  • SIC Code: Select Industry vertical by SIC code.
  • Annual Revenues: Target Companies by their annual revenues.

Collection Methodology:

Profound Networks developed a platform to compile and analyze an excess of 3 billion routable IP addresses and their corresponding DNS and networks attributes on a quarterly basis. In addition to comprehensive IP mapping, analysis of 200 million Domains is also conducted each quarter.

Use Our Data For:

Profound Networks’ data is best leveraged when it comes to targeting the ‘Digital Footprint’ side of the business. Strategies include targeting businesses by network size, network growth, server architecture, eCommerce, Analytics, Cloud vendors and more. Ideal for IT and Telecom space!


Data Directory

Pursway: A Buyer’s Guide

Pursway Data 101

Pursway is a leading data and analytics company with a proprietary smart targeting software platform and a massive, probability-based social database containing over 200 million people and more than 2.5 billion validated social connections. Founded by ex-Israeli Defense Force intelligence officers, Pursway analyzes billions of pieces of data from open Web sources to accurately determine real life relationships and influence between people.

Description of Data Types:

Pursway is a scalable source for Purchase Influencers – everyday people who have proven to impact their friends’ purchases.

Pursway provides two primary categories of audiences:

  • Category based Purchase Influencers
  • Friends of Purchase Influencers

Both have high propensity to buy and are active shoppers.


Oracle Data Cloud


  • Luxury Auto, such as Acura, Audi, BMW, Cadillac, Infiniti, Jaguar, Land Rover, Lexus, Lincoln, Mercedes Benz Porsche and Volvo.
  • Entertainment – Movies, Music and Video Games
  • Electronics – Computers, Digital Cameras, Home Audio, Home Video, Personal Audio and Tablets
  • Telecommunications – in-home video, data and phone; wireless and mobile devices
  • Business Travel – Transportation (Airlines, Rental Cars), Hotels, Resorts

Collection Methodology:

Pursway builds audiences with a patent-protected process based on proprietary, anti-terrorism machine learning technologies. First, Pursway collects publicly available information from a constantly growing list of open web sources about where people live, play, shop, dine, work and volunteer together. These are aggregated until there is evidence to show a relationship exists. Our technology determines cause and effect from purchase data to score the most influential individuals in their category and their friends.

Use Our Data For:

These audiences are designed to identify highly responsive audiences for acquisition and brand campaigns. Best practice is to first target the Influencers in a category and simultaneously (or shortly thereafter) target their friends to achieve maximum impact and accelerate word of mouth.


Data Directory

PushSpring: A Buyer’s Guide

PushSpring Data 101

PushSpring provides device-level targeting data for verified iOS and Android mobile app audiences. PushSpring Personas are crafted using advanced machine learning applied across billions of mobile app and device-level signals such as app ownership, location, and other device settings to create accurate views of mobile audiences spanning multiple dimensions. All PushSpring data is processed through a series of validation checks to eliminate IDs associated with fraudulent traffic and ensure Personas represent real audience members.

Description of Data Types:

PushSpring Personas address marketers’ targeting needs across three consumer dimensions: Life Stage, Interest & Activity, and Intent.

  • Life Stage - designed to capture characteristics, behaviors, and patterns that define key life events and situations for consumers.
  • Interest & Activity - provide marketers a complete view of mobile consumer interests sourced from apps and device signals, and refined as those signals evolve.


Oracle Data Cloud

  • Intent - derived from observed mobile user behavior patterns across a variety of app and device signals that indicate definitive consumer intent for a product or service category.

Collection Methodology:

PushSpring collects only non-PII data signals via the PushSpring SDK installed directly within the apps of our partner mobile developers and permissioned by end users upon installation of those apps. This data is tied to anonymous, resettable, and opt-out enabled advertising IDs associated with user devices (IDFA for iOS and Android Advertising ID for Android) to create fully permissioned, aggregated and anonymous behavioral audience segments.

Use Our Data For:

Target mobile app audiences. PushSpring provides device-level targeting by advertising ID, enabling advertisers to reach key audiences across apps. Use PushSpring data to deliver tailored messages for:

  • Driving brand awareness to high-value mobile audiences
  • App install and customer acquisition
  • Customer engagement and app re-engagement
  • Mobile performance


Data Directory

Relevate: A Buyer’s Guide

Relevate Data 101

Relevate is a builder of primary content. Our data is insightful, with a focus on accuracy, time to market, and value to the brand advertiser. Relevate’s unique content addresses multiple segments from Retail and CPG to Automotive, Insurance, Financial Services, Telecom and Travel to Healthcare. Any of our segments can be customized to your brands, and at any time.

Description of Data Types:

Relevate’s New Mover Data: Built from the ground up- deed filings, mortgage filings, wrapped with new connect and new installation information. Our data is corroborated against multiple consumer data sets to insure that they are actually NEW MOVERS. New Movers can be categorized by age, income, home value, and custom segments including lifestyle attributes.

Relevate Auto is not modeled or self-reported. We know what is in the driveway and what is on the dealer’s lot. Segments by lifestyle: ‘mini-vans’- ’luxury brands’- ‘outdoors and heavy load’- by make and model, age, income, year purchased and decision dates based on purchase year.


Oracle Data Cloud

Collection Methodology:

Relevate New Movers are based on deed filings, mortgage filings and wrapped with new connect and installation information. The data corroborated against multiple consumer data sets to insure that they are actually NEW MOVERS.

Relevate Auto is not modeled or self-reported. The data is derived from Dealers, Service Centers, Bays and Co-Registration. For accuracy Dealer lot data serves as a trigger to update VIN’s clearly defining what is in the driveway or garage.

Use Our Data For:

New Movers /New Homeowners spend more in the first 6 months on new cars, insurance, home security, home lawn care, new technology- computers, home entertainment, banking, telecom, broadband, insurance; than in the next 3 years.

Auto Data used by OEM’s, large dealers, insurance, banks and finance companies, aftermarket, fuel brands, tires.


Data Directory

Scanbuy: A Buyer’s Guide

Scanbuy Data 101

Scanbuy (Scanlife App) starts with higher quality data (not cookies) as primary data, and build your campaigns, audiences, segments, etc. from there. Consumer scan data is an authentic, bottom-funnel signal that someone is, at minimum, curious about a product and brand, and more likely, ready to engage with or buy the product. Capturing this “moment of truth” data, and putting it to good use for digital marketers, is our business.

Description of Data Types:

Our largest product scan categories are: Health & Beauty, Consumer electronics, and Food & Beverage. Not from inferred behavior (consumer browsing activity on-line), but from intentional behavior (consumer scanning products in stores). At Scanbuy we have found dramatic KPI improvements in digital marketing initiatives where audience-building starts with consumers who have used their smartphone’s camera to purposefully scan a product, poster, or promotion … as a targeting baseline. The old adage “quality in, quality out” clearly applies here when it comes to using consumer scans as the “seed” data to build from.


Oracle Data Cloud

Collection Methodology:

Consumers scan products all over the world every day. We classify this data into product categories and audience segments. We often know where the product was scanned, and the gender and age range of these consumers. Scanning is an intentional, purposeful act. We consider this data to be bottom-of-the-funnel marketing data, and use it as seed data to broaden our segments and build better targeting campaigns.

Use Our Data For:

Target a strong-affinity sub-segment. Build “act-alike” model to expand a target audience. Co-mingle this data with in-house data (CRM, web, other) to drive superior A/B tests, campaign results, and measurable ROI. Our product scan data is a better indicator of consumer intent.


Data Directory

SirData: A Buyer’s Guide

SirData Data 101

Sirdata is an online data provider that offers a fully automated, third-party data collecting and profiling platform. The company specializes in collection, targeting and selling of profile data on the Internet. Using advanced algorithm technology; Sirdata collects anonymous data that identifies the intentions, interests and behaviors of Web users. This targeted data is then made available to their partners (ad networks, advertisers, re-targeters, search re-targeters and customers) to help optimize their displays.

Description of Data Types:

Sirdata’s categories are defined using an advanced algorithm technology that crosses the sources of data, crunches information, and deducts the purchase intentions of users. A detailed scoring model analyzes Web users’ digital imprints including behaviors, interests and habits to define the categories. The categories are characterized by users who actively buy, or are interested in that specific category. For example, Shopping consists of users who are active buyers on comparison and classified sites. Top 10 categories include:

  • Shopping
  • Fashion
  • Sports
  • B2B
  • Travel & Transportation
  • Education
  • Home & Garden
  • Entertainment
  • High Tech
  • Finance


Oracle Data Cloud

Collection Methodology:

Sirdata currently collects online data in eight countries (Brazil, Canada, France, Germany, Italy, Spain, UK and the U.S.). The company collects anonymous data from mid-range publishers. The primary goal is to capitalize on the data collection of publishers that attract 10,000 through 400,000 monthly unique visitors. Using publisher’s tags, the scoring system allows Sirdata to track their data, and make key matches to anticipate the actions and intentions of purchasing online.

Use Our Data For:

Targeted data is made available to Sirdata’s partners to help optimize their displays. Both advertisers and publishers can benefit from our targeted smart data. This rich source of targeted data benefits advertisers by creating meaningful and relevant advertising campaign strategies, and ensures they are making the most out of every Web user’s click.


Data Directory

Skyhook: A Buyer’s Guide

Skyhook Data 101

Skyhook invented the first hybrid positioning system for mobile devices in 2003. It operates a global, 1st-party location network that provides the fastest, most accurate location data to apps, adtech, and devices. Skyhook handles tens of billions of location and context requests to enable our customers to provide premium data.

Description of Data Types:

Skyhook leverages the most precise and accurate mobile location data to create premium Personas. These Personas combine demographic data, such as income level, education, age and ethnicity, with behavioral patterns based on where mobile users live and visit. A sample of our Personas include:

  • Demographics: Young Adults, Early Middle Age, Late Middle Age, Senior Citizens, Graduate Degrees, College-Educated, Associates Degree, No College, Low Income Lifestyle, High Income Lifestyle, Middle-Income Lifestyle
  • Behaviors: Luxury Auto Shopper, Budget Auto Shopper, Auto Owner, Luxury Shopper, Family Shopper, Budget Shopper, Women’s Apparel Shopper, Men’s Apparel Shopper, Kid’s Apparel Shopper, QSR Diner, Upscale Diner, Business Traveler, Leisure Traveler, Coffee Drinker, Live Sports Fan, New Parent, Pet Owner, Fitness Enthusiast, College Student, Movie Goer


Oracle Data Cloud

Collection Methodology:

Refined over 10+ years of development and billions of location requests, Skyhook only uses the most accurate and precise location data along with a series of advanced algorithms to determine if location is fit for a purpose, and reflects plausible human movement. Skyhook provides advertisers with audience behavior and demographic data that’s continuously updated.

By combining users’ location history with a quality-controlled and semantically categorized venue database, Skyhook determines user preferences based on verified mobile location history.

Use Our Data For:

Skyhook Persona data enables:

  • Better targeting based on real-world behavior
  • Higher conversion rates


Data Directory

SMS: A Buyer’s Guide

SMS Data 101

SMS Marketing Services is a Consumer & B2B data management/compilation company specializing in consumer and business databases/demographics. We leverage data-driven strategies to innovate and capture value from deep and real-time information. CustomerConnect360 is built through proprietary methodologies using response, transactional and survey data, and it offers the richest consumer data available today. The Business Intelligence Solutions (BIS) Database is a multi-sourced business file containing postal, email, phone numbers and deep business demographics.

Description of Data Types:

CustomerConnect360 & Business Intelligence Solutions Database attributes are available for digital ad targeting. A complete list of attributes is available through Oracle BlueKai.

CustomerConnect360 includes key segments such as Age, Income, Gender, Marital status and advanced segments such Ethnic group, Political party, Donor cause, Product Purchase interest and much more.

The Business Intelligence Solutions data includes detailed business segments such as Gender, Company size, Job Title/Function, Business Type and geography. This comprehensive database is a high-volume source used for maximum selectivity to reach many markets and functional segments. Reach corporate buyers in areas such as Finance, IT, HR, Sales & Marketing and more!


Oracle Data Cloud

Collection Methodology:

Hundreds of public and private data sources including direct response, transactional and survey data, are used to compile the SMS CC360 Consumer Database. The Business Intelligence Solutions business data is sourced through strategic data partnerships that include subscriber, Internet, government and survey type data.

Use Our Data For:

The SMS CC360 Consumer Data can be used to target consumer segments by demographic and psychographic attributes. In addition to attributes known to be connected to each consumer we also have 40+ modeled segments of our consumers who are most likely to respond to offers such as Automotive, Career, Education, Home Improvement and Travel. Business Intelligence Solutions data is used to target specific business markets by business type, executive job title/function, company size or geography.


Data Directory

Solve Media: A Buyer’s Guide

Solve Media Data 101

Solve Media, a leader in online security and digital advertising, has been monitoring bot traffic since 2009. They help publishers and advertisers alike to prioritize investments in anti-fraud technologies.  Their proprietary online and mobile advertising platform, the TYPE-IN, creates highly effective opportunities for brands to engage with real consumers. Now, Solve is leveraging data from across their CAPTCHA network (of more than 100,000 global websites) to enable advertisers and publishers to verify human traffic.

Description of Data Types:

Solve Media’s “Human Verified” audience is built off of data collected from its exclusive CAPTCHA network (users who have correctly completed CAPTCHAs are considered a verified human).

Solve Media distributes validated human audiences and self-declared intent and interest based segments. To combat fraud, Solve Media produces various Secure Audience segments to help you find the right combination of quality and reach that is appropriate for your campaign. For intent and interest based segments Solve Media provides a number of self-declared segments across automotive, travel, entertainment, and business verticals. There are also similar demographic segments useful for audience target validation.


Oracle Data Cloud

Collection Methodology:

Solve Media developed technology to make CAPTCHAs near impossible for bots, and trivial for humans. The technology also uses a smorgasbord of variables to indicate whether a surfer is a robot before the CAPTCHA is even served. Solve Media's Verified Audience is built off of data collected across its exclusive CAPTCHA network, reporting on its pre-analysis of users and the success of their CAPTCHA interactions.

Use Our Data For:

Use Solve’s data as a private taxonomy that buyers can subscribe to. For Verified human traffic, Oracle will offer categories for each of our data providers, giving buyers the option to choose which partner to use and which audience to apply.  Channel partners can bundle it into premium "fraud-free" inventory.


Data Directory

TransUnion: A Buyer’s Guide

TransUnion Data 101

TransUnion is dedicated to finding innovative ways information can be used to help make better and smarter decisions. We uncover trends and insights using current and historical information as well as alternative data sources. These insights empower our customers to identify and reach their clients and prospects online or offline. Today, TransUnion reaches consumers and businesses in more than 30 countries around the world on five continents.

Description of Data Types:

By leveraging more than forty years of powerful TransUnion consumer insights, institutions in areas like auto lending, finance, insurance, real estate, retail, and telecommunications can more effectively target and reach high-value audience segments. Use TransUnion’s aggregated consumer credit data segments based on digital marketing best practices or consult our experts to design a custom approach.

The TransUnion small business digital marketing solution helps identify employee and company specific attributes online by linking small business characteristics with consumers. For a full list of segments please see the BlueKai taxonomy.


Oracle Data Cloud

Collection Methodology:

TransUnion consumer solutions combine proprietary core data assets, advanced analytics, and industry-focused experience to create aggregated audience segments.

TransUnion small business solutions combine proprietary core data assets and business data via innovative matching logic. The small business data include more than 29 million small businesses compiled from over 70 sources – validated to ensure data accuracy and freshness.

Use Our Data For:

Let TransUnion’s superior consumer intelligence help your business identify and reach your best customers – and maximize your bottom line. TransUnion can help you:

  • Maximize campaign responses by identifying high-performing audience segments
  • Use online ad space more effectively
  • More precisely evaluate campaign effectiveness and optimize future campaigns

Advertise to small businesses and their employees online to:

  • Grow small business market share through relevant, timely offers online
  • Define specific small business targets with deeper granularity and reach at scale
  • Target small business candidates for tailored invitation-to-apply (ITA) offers


Data Directory

TruSignal: A Buyer’s Guide

TruSignal Data 101

TruSignal gives you a more precise way to target your best prospects at scale.

  • Declared Audiences – (Auto Owners, SMB and Pre-Movers)Our deterministic (not modeled) audiences are linked to targetable consumer profiles. Data is sourced from public records, service records and local listings.
  • Predictive Audiences – (people likely to purchase)Based on 100s of key attributes from actual past purchasers, these propensity audiences are built using offline big data and our predictive analytics technology.

Description of Data Types:

TruSignal Audiences are uniquely developed for each industry vertical using actual owners or past purchasers.


  • Existing Auto Owners – 187 million vehicles in the garage.
  • Near Market – people with a propensity and capacity to purchase a particular make/model.

Small and Medium Business (SOHO)

  • Target decision makers for 97% of all US businesses

Financial Services

  • Credit Cards, checking/savings
  • Auto Insurance
  • Term Life
  • Mortgage Refinance

Interest Audiences

  • Lifestyle / Healthy Living
  • Online Games & Quizzes
  • Real Estate
  • Travel


Oracle Data Cloud

  • Higher Education
  • Political Donors
  • Pre-Movers – homes recently listed for sale
  • Estimate Household Income

Collection Methodology:

TruSignal’s core data is aggregated from a wide variety of offline data providers such as public and private records, surveys, service records, and local listing resulting in thousands of attributes per 220M U.S adult profiles. All data is cross-referenced to ensure the highest quality and accuracy.

Predictive audiences are built comparing past purchaser data against thousands of attributes to derive the 100s of key predictive factors that define precise audiences at scale.

Use Our Data For:

TruSignal Audiences improve the accuracy and efficiency for Branding. They also reach “near market” Prospects before they are showing any in-market signals. All audiences contain verified profiles, so you are reaching people, not bots. Use TruSignal audiences to improve targeting efficiency and acquire new customers you are not reaching today.


Data Directory

Twine: A Buyer’s Guide

Twine Data 101

Trying to target with confidence in mobile? Twine Data is your source for purely deterministic mobile-only data. Our unique segments are never created from models, algorithms, or guesses but instead represent the actual actions, behaviors, and reported demographics of real users. Our network of affiliated app publishers represent a long tail of customers you won’t find elsewhere.

Description of Data Types:

Twine’s data is focused on consumers’ interests as indicated by their concrete actions within mobile apps—booking a trip, shopping for products or services, clipping coupons, listening to music, watching a show, and more. Interest categories include Dining, Shopping, Recreation, Travel, Events, Services, and Entertainment and can be drilled down from there, even delivering fans of particular brands.


Oracle Data Cloud

Collection Methodology:

Our data is collected from our network of affiliated app publishers, which includes a long-tail of smaller apps whose unique users can add more reach to a campaign. We ingest and categorize their data using our proprietary action-based segmentation methodology; we put users into segments only if specific actions have been taken, not if a model tells us to.

Use Our Data For:

Select from our dozens and dozens of deep segments to put together just the right audience for your mobile brand or direct-targeting campaign, for mobile customer acquisition, or campaign analytics.


Data Directory

V12 Group: A Buyer’s Guide

V12 Group Data 101

V12 Group turns offline consumers into targetable audiences by mapping offline demographic, lifestyle, purchase, auto, CPG, and B2B data into privacy compliant online audience segments. Blending accurate and up-to-date offline data with over 100M US consumers has increased ROAS for both brand and direct response campaigns alike.

Description of Data Types:

V12 Group offers over 1000 audience segments to target across 12 categories including:

  • Automotive – make, model, year, class, age, in-market predictor
  • CPG – Baked goods, snacks, egg/dairy, beverages/beer/liquor, meat/poultry/seafood
  • Community and Language – Chinese speakers, French speakers, Italian speakers, Spanish speakers, Portuguese speakers, Asian, African American, Hispanic, American Indian, Caucasian
  • B2B – employee size, company sales, employee rank, SIC2, SIC4
  • PYCO Personality – Psychographic data that maps 320 data attributes into a proprietary algorithm that accurately assign a personality type to over 100 million users
  • Buyers – books, female apparel, food buyer, home décor, home improvement, pets, diet and weight loss, jewelry


  • Demographic
  • Travel
  • Finance
  • Sports & Fitness
  • Lifestyle & Pursuits
  • Entertainment


Oracle Data Cloud

Collection Methodology:

V12 Group’s multi-channel consumer file is one of the largest consumer databases in the industry. The database is an aggregated file built from more than 40 compiled and proprietary data sources, which combine postal, email, phone, and mobile data, as well as hundreds of selectors to further improve targeting.

V12 Group’s data assets include:

  • 208M consumer records
  • 110M US households
  • 72M ePostal records and 86M eZip
  • 81M email records
  • 112M phone records

Use Our Data For:

Advertisers have seen strong performance leveraging V12 Group’s online audience segments across a variety of categories, including:

  • Automotive
  • CPG
  • B2B
  • Travel
  • Finance
  • Niche Lifestyle
  • Personality targeting
  • Entertainment
  • Buyer and Intender


Data Directory

#Home by Vendigi: A Buyer’s Guide

#Home by Vendigi Data 101

#Home by Vendigi provides audience data for all things home. Discover a spectrum of audiences spanning the home ownership lifecycle – from buying to living in and selling a home – each a unique audience for financial institutions, retailers, cable and telecom providers, and others. Discover homebuyers seeking mortgages or homeowners inclined to purchase cable service, home security. Target homeowners with plans to remodel or ones who have recently pulled out a home equity line of credit.

Description of Data Types:

#Home introduces a new paradigm of audiences predicated on real world facts blended with digital footprints. Our unique combination of property intelligence, mortgage performance, and online behavior introduces an array of digital audiences for data-driven marketers to reach homeowners, home buyers, home sellers, and real estate professionals.


Oracle Data Cloud

Homeowners: refine your reach using property characteristics, location, amount of equity, years in residence, home value and more

Home Buyers and Sellers: varying propensities of buyers and sellers with intelligence to recognize shoppers in every stage of the process

Real Estate Pros: breakthrough audiences of brokers and agents

Collection Methodology:

We capture, curate, and activate data from the source supporting over 80% of all real estate activity in the country. These highly guarded systems introduce proprietary first-party audiences from real estate broker websites, multiple listing systems, real estate transaction management platforms, and loan origination systems. #Home audiences also include fact-based homeowner audience segments that originate from offline sources covering 99.8% of U.S. households with a proven track record in marketing lift.

Use Our Data For:

#Home provides insights related to audiences involved in any phase of the real estate lifecycle – whether shopping, buying, living, remodeling, refinancing, or selling a home. These dimensions empower verticals in the real estate space to deliver breakthrough digital advertising experiences to the right audience at the right time.


Data Directory

Webbula: A Buyer’s Guide

Webbula Data 101

Webbula is a revolutionary data technology company that collates and enhances data from offline trusted-sources that is traditionally out of reach to online marketers. These sources include historical purchases, public census, publishers, self-reported, surveys, social-media, and other data providers.

The result is over 270 million compliant anonymous cookies in the B2B, Auto, Demographic, Retail, Attributive, and Financial categories. The Webbula difference is our process that cleans, verifies and authenticates data through a rigorous hygiene process.

Description of Data Types:


  • Body
  • Classes
  • Fuel Type
  • Year
  • Make

Historical Buyer of

  • Air Travel
  • Autos
  • Donations
  • Heath & Beauty Products
  • ISP & Type
  • Mail Order Purchases
  • Retail


Oracle Data Cloud

Passionate About

  • Arts & Entertainment
  • Business & Finance
  • Education
  • Electronics
  • Food & Drink
  • Health & Beauty
  • Hobbies
  • Home & Garden
  • Internet & Online Activities
  • Lifestyles
  • And more…

Collection Methodology:

Sheer numbers aren’t enough to make a successful campaign. Accuracy, precision, and compliancy are paramount that’s why hundreds of leading and emerging brands, agencies and media planners choose Webbula.

Webbula eliminates the guesswork by not modeling offline data-points. Our technologists have developed comprehensive systems to keep your brand safe by removing bots, scammers, and content-spammers.

These advantages stem from our roots of being a data authentication technology innovator as well as a massive offline data-aggregator.

Use Our Data For:

With engagement being the ultimate measure of success, Webbula’s data is always a benefit to your campaign. Our data particularly shines in campaigns requiring demographic, automotive and attribute data.


Data Directory

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