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Popularne pytania
Oracle Modern Best Practice—Analytics to Insight
- Overview
- Insight to Campaign ROI
- List Import to Prospect
- Analytics to Insight
- Campaign Execution
- Event Execution
- Disparate Sources
Analytics to Insight
The big data and analytic capabilities built into modern marketing best practices enable you to measure the effectiveness of your campaigns and take action. Analyze data from a variety of sources, including third parties. Create targeted customer lists with predictive models. Measure results by campaign, segment, and channel. Determine future marketing campaigns with A-B testing. Use the following modern best practice as your roadmap for creating exceptional, data-driven marketing campaigns.
Improve Results, Drive Efficiencies
- Multi-model lead scoring and routing
- Flexible native CRM integrations
- Easy integration of third-party applications directly into your marketing campaigns
- Advanced data cleansing and validation tool
- First party data assets from over 160 media partners
- Mobile first and third party data activation
Analytics. Big Data.Prepare Analytics Data
Prepare data from a variety of sources including, campaign results, site and conversion data, cross-channel data, and third party data.
Analytics. Big Data.Perform Predictive Audience Analytics
Analyze audience profiles, segment performance, and behavior differences for specific channels.
Analytics. Big Data.Build Target Audience
Validate existing profiles of target audiences and identify new audience segmentations.
Analytics. Big Data.Analyze Campaigns in Real Time
Compare real-time campaign performance of specific markets across digital channels.
Analytics. Big Data.‘Learn and Apply’ Analytics
Build and test campaign performance models for each audience segment and channel.
Analytics. Big Data.Score Campaign Segments
Score the results of your campaigns according to audience segments, channels, campaign models, and return on investment (ROI).