AI Audience Analytics
One model of your audience across every platform, with churn predicted early enough to prevent and segments you can actually act on.
Media companies see their audience in fragments: one identity in the streaming app, another on the website, a third in the newsletter list, and none of them connected. We build AI audience analytics for media organizations that resolve those fragments into one behavioral picture and then make it predictive. Churn models flag subscribers weeks before they cancel, with the behavioral reasons attached, so retention teams intervene with the right offer instead of a blanket discount. Segment discovery finds the audience groups that actually exist in the behavior, not the ones the org chart assumed. Content analytics separate what drives acquisition from what drives retention, which are rarely the same shows. All of it runs on your first-party data, in your environment, which matters more every year the third-party ecosystem erodes.
Resolve audience identities across streaming, web, app, and newsletter touchpoints into one privacy-safe behavioral profile.
Train churn and engagement models on your actual audience history, flagging at-risk subscribers with the reasons attached.
Discover behavioral segments and quantify what content acquires, retains, and re-engages each of them.
Feed scores and segments into your CRM, marketing, and programming tools so insight turns into action, not decks.
What it does
Cross-platform identity
Stitches streaming, web, app, and email behavior into one audience profile, with consent and privacy rules enforced in the pipeline.
Predictive churn scoring
Flags at-risk subscribers weeks ahead with behavioral drivers attached, so retention offers are targeted rather than sprayed.
Behavioral segmentation
Finds the segments that exist in the data, sized and profiled, replacing demographic guesses with observed behavior.
Content contribution analysis
Quantifies which titles drive sign-ups, which prevent cancellation, and which merely fill time, informing commissioning and licensing.
A subscription publisher cut monthly churn 18 percent by targeting save offers at high-risk segments, while trimming untargeted discount spend by a third.
Questions, answered
Web analytics counts events on one property. This resolves identity across all your platforms and makes the data predictive, churn risk, segment membership, content contribution, so teams act before the metric moves, not after.
Consent flags travel with every profile, and processing rules are enforced in the pipeline itself, so segments and scores are only built on data you have the right to use, per jurisdiction.
Both. Content contribution analysis shows what acquires versus what retains each segment, which is direct input to commissioning, licensing, and scheduling decisions.
Bring ai audience analytics to your team
Book a free consultation and we'll map the fastest path to production.