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Churn Prevention Engine

5 sophistication levels — from SQL rules to actionable causality.

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What it solves

Most companies react to churn with generic discounts post-loss. This upgrade shows 5 sophistication levels — SQL rules, predictive model, uplift modeling, multi-channel agent swarm, incremental causality — calibrated to your industry.

Upgrade preview

Churn Prevention Engine — 5 levels.

From generic SQL rules to incremental causality. Each level trades off precision vs. implementation time.

churn.infinure.com/levels
V3

Uplift modeling + AI agent

Only intervenes on users where the offer changes the outcome (uplift > 0). Agent decides per-user action.

Precision

72%

Implementation time

10-12 weeks

Revenue saved (illustrative)

~22% of churn

Industry calibration

⚠ Levels adapted to real client context. Starting level is defined at kickoff.
What you'll see

What the product shows

  • Sophistication evolution: v1 SQL → v5 causal

  • Trade-offs between precision and implementation time

  • Calibration for 5 industries (fintech, subscription, eCommerce, SaaS B2B, EdTech)

  • Connection with 3 growth levers (retention, expansion, reactivation)

Context

Part of

Next Step Enablement

Productive systems that move CAC, revenue and retention.

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Want this running in your operation?

Let's talk about adapting it to your stack, your team and the KPI you need to move.

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