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Churn Prevention Engine

5 sophistication levels — from SQL rules to actionable causality.

01What 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.

02Upgrade 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

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.

03What you'll see

What the product shows

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Sophistication evolution: v1 SQL → v5 causal

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Trade-offs between precision and implementation time

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

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

04Context

Part of

Growth Upgrades→

Productive systems that move CAC, revenue and retention.

05Other products

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Lead Scoring Engine

Lead prioritization with business signal, not gut feeling.

Churn Prevention Engine

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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