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Enterprise Layer Intelligence
Categories/Data Analytics/Subsets
Subsets

Subsets

Founded by Martin Johnsen in 2022

Predict subscriber churn and automate retention experiments to keep customers longer

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Subsets to predict subscriber churn and run automated retention campaigns without engineering support. The system analyzes your customer data to uncover behavioral signals that lead to cancellations. You can run controlled A/B tests to test offers and personalized messages across your existing marketing channels. Once an experiment shows positive results with statistical confidence, you can turn it into an automated journey. It includes safeguard settings like messaging frequency caps to prevent overwhelming your subscribers with communications.

What Subsets does

Segment subscribers by churn probabilityRun A/B tests on subscriber retention offersMonitor cohort retention rates and lifetime valueTurn validated test variants into live automationsConfigure message frequency caps and suppression filtersAnalyze behavioral patterns that lead to cancellationsPredictive subscriber audience segmentation based on churn riskExplainable machine learning to identify drivers behind cancellationsBuilt-in A/B testing across communication channelsAutomatic conversion of winning experiments into continuous automationsStatistical significance detection for test resultsFrequency caps and suppression rules to prevent over-messagingReal-time tracking of retention rates and subscriber lifetime value

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

Stripe, Recurly, Chargebee, Segment, Braze, Iterable, Slack, Unverified API, Braze (Messaging), RevenueCat (Mobile Subscriptions), Recurly (Billing), Stripe (Payments), Databricks (Data Intelligence), Darwin XC (Subscriber Experience), Poool (Paywalls), Adobe Campaign (Marketing), Stripe / Recurly / Chargebee (Billing), Braze / Iterable (Messaging), Segment (CDP), Snowflake / BigQuery (Data Warehouse), RevenueCat (Mobile Subs), Slack (Notifications), Unverified API (Custom), Stripe (Billing), Chargebee (Billing), Iterable (Messaging), Segment (Data), Databricks (Data), Slack (Alerts)

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Subsets, subscriber retention, churn prediction, A/B testing, lifecycle marketing, retention automation, churn reduction, customer lifetime value, subscriber segmentation, audience targeting, conversion rate, customer journeys, behavioural analytics, marketing automation