Sistava

Sales Data and Churn Analysis

AI Sales Team

Spot churn signals in your payment, usage, and engagement data — before they hit

Your AI sales team connects to your payment processor, billing system, and product analytics to find the patterns behind every churn event.,Failed payments, usage drops, ticket-volume spikes, contract-renewal red flags — all surfaced as early warnings with named accounts and recommended actions.,Outputs include a recovery playbook per at-risk account: who to contact, what to offer, when to act.

Benefits

How It Works

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At a Glance

30 days
Average early-warning lead time
15-30%
Typical churn reduction on at-risk accounts
Account-level
Playbooks generated per signal
24/7
Continuous re-scoring

Churn Is Predictable If You Look

FAQ

Which payment systems are supported?

Stripe, Chargebee, Braintree, PayPal, and most major processors. Direct DB connection too if you self-host.

Does it work for SaaS, e-com, or services?

All three. The model is driver-based, so it adapts to your specific revenue motion.

Can it auto-recover failed payments?

Yes — dunning sequences, card-update prompts, and recovery emails all automated.

How is success measured?

Saved revenue per cycle, tracked against a hold-out control group. Real attribution, not vanity metrics.