Subscriptions & Reader Revenue
The measurement foundation for subscription growth.
Safari's seven-day cookie cap, adblockers, and blocked scripts cut reader journeys short. JENTIS keeps every journey intact, from first article to renewal.
Book a demoMake the entire reader journey visible.
Most readers spend months with a publication before they pay. JENTIS keeps them recognizable for the entire reader journey.
Persistent IDs
Identify loyal readers before they subscribe.
JENTIS captures engagement data server-side and assigns a persistent first-party identifier, so journeys survive Safari's seven-day cookie cap and adblockers.
Propensity & Paywall
Show offers when readers are ready.
Complete journeys feed your scoring models and paywall rules, not the fragment that survives the browser.
- High-propensity readers: Identified before login or registration.
- Trial and metering events: Tracked reliably across the funnel.
- Real-time delivery: Native connectors feed Piano, Parse.ly, and your scoring tools.
Subscription Campaigns
Send ad platforms the conversions that actually happened.
Recovered subscription events flow back to Google, Meta, and others, so bidding optimizes toward real subscribers.
- More conversions reported: Subscription events recovered server-side.
- Lower cost per subscriber: Algorithms find likely subscribers on complete data.
- Intact paths: Journeys from ad click to subscription stay measurable.
Retention & Churn
See churn coming while there is time to act.
Stable engagement baselines make declining usage visible before the renewal date.
- Frequency and recency: Tracked consistently across sessions.
- Churn model inputs: Clean behavioral signals instead of gaps.
- Retention workflows: The same dataset flows to your warehouse and CRM tools.
How JENTIS works for subscriptions
Hybrid tag management and tracking governance on one platform.
Hybrid tag management
Native connectors to power your whole stack
Consistent cross-domain reader data for every tool and system in your tech stack.
Keep control of the data
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