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Oracle Adaptive Intelligent (AI) Apps for Marketing helps marketers and digital commerce professionals engage smarter with optimized marketing orchestrations, connected audiences, next-best product recommendations, intuitive search, and open-time content features.
Oracle AI Apps for CX generates personalized product recommendations, either as a single product or in a carousel configuration, on a business's website. The data science models run on a combination of commerce data (not necessarily from a commerce platform), clickstream data, and trusted data from Oracle Data Cloud. This combination provides a more complete understanding of the customer and similar customers in that moment, to deliver unique, tailored experiences. Recommendations appear directly on the business commerce site for the most likely products of interest, associated promotions, and content, while factoring in the individual's purchase history, likelihood to purchase, affinity, and look-alike comparisons. Recommendations are calculated and surfaced in real time incorporating up-to-the-minute customer behavior data.
Multi-channel support allows for a seamless, consistent consumer experience across all digital channels of a business. As with all Oracle AI Apps, supervisory controls are a key design component that give users a way to interact with the data science and have some influence over the machine-generated outcomes. For Oracle AI Apps for CX, supervisory controls allow marketers and merchandisers to guide the data science algorithms based on specific business policies or objectives—for example, boosting the recommendations of products with excess inventory or enforcing brand exclusivity policies. Insights provide real-time understanding of how AI outcomes are benefiting the business.
AI and data-driven contextual product recommendations appear in the body of an email at the time of opening to increase revenue and improve overall brand experience.
Offers and recommendations are calculated and shown in real time upon email opening, incorporating up-to-the-minute data regarding customer behavior. An embeddable code snippet allows Oracle AI Apps to work with Oracle Marketing Cloud as well as a variety of email service providers.
Search results are tailored with personalized product recommendations to drive increased engagement, basket size, revenue, and repeat visits
The search experience includes AI-generated type-ahead entry, related search terms, and search engine optimization with results ranked according to potential relevancy for the individual customer. Blended product recommendations are shown on the search result page in ranked order at the top of the page.
Data-driven, machine-learning algorithms help the digital marketer optimize and automate marketing program execution. The algorithms continuously adapt to changing customer interaction patterns to improve click-through and ultimately bring higher ROI and revenue from marketing spend.
Machine learning models automatically predict the best-performing mix of send-time, channel, and message for each customer based on their interaction history, profile, and content metadata to optimize for a defined business metric.
Supervisory controls allow marketers to influence the likelihood of specific decision outcomes as the programs are executing to meet specific business policies or objectives. For example, a marketer can boost the use of a specific channel or email template.
Oracle AI Apps for CX taps into a customer's true interaction data to help hyper-target digital media campaigns. It links interactions from personalized product and promotion recommendations with Oracle BlueKai data attributes from Oracle Data Cloud. The resulting associations are automatically sent to Oracle Data Management Platform (DMP) for seamless retargeting and the identification of look-a-like consumers that match the client's evolving customer profile.
The connected audiences feature of Oracle AI Apps for CX helps digital marketers acquire and retarget consumers based on a customer's true interaction data, thereby improving the efficiency of customer acquisition strategies and the overall effectiveness of digital marketing campaigns.
Enrich contacts with company-level data and account scores to better target your audience and power more precise account-based marketing strategies. With Oracle DataFox, get access to AI-curated company data for more than 70 firmographic and 68 types of signal data. Use this data to classify your customer base and leverage data for laser-targeted segmentations.
With enriched company data appended directly onto contacts, close the divide between leads and accounts with powerful lead-to-company matching based on robust company-level data. Then, implement automated lead routing so that the right leads get to the right reps more quickly and accurately than before.
Deploy an ideal customer profile modeling process that surfaces the most influential data points that indicate who your best customers are. Then use this insight with AI-generated company data from Oracle DataFox to create a customizable account score. Combine firmographic and signal data with sales and marketing activity data for tighter alignment on target accounts.
Build a multidimensional lead score to automatically prioritize quality inbound leads, and reduce costs by optimizing resources who market to high-scoring contacts. Plus, create account-based segmentations to personalize engagement and improve conversions.
Expand your TAM with AI-curated data from Oracle DataFox's company intelligence platform. Machine learning creates an ideal customer profile (ICP) for your business, which is used to identify lookalikes from the DataFox business universe and pull this data directly into your systems.
TAM expansion enables marketing teams to increase revenue with a larger-known prospect base. Run advanced searches to find new target companies, leverage an analysis tool to create a data-driven ICP, and then use this profiling criteria to define lookalikes to expand your market.
Engage in more productive conversations with customers and prospects via smart talking points. Powered by Oracle DataFox, 68 types of real-time data signals help identify opportunities as they arise in order to personalize outreach and hold more engaging business discussions when they matter most.
Smart talking points enable marketers to increase conversion rates of email campaigns by improving the relevance of their content. Easily use real-time signal data to create dynamic lists of target companies for event-triggered marketing outreach and laser-focused nurture campaigns.