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iGaming Retention Engine

Sellrise

Real-time retention engine for an online casino. ClickHouse and Redpanda ingesting millions of events, player scoring, VIP desk, bonus economics, fraud flags, LLM call analysis, reactivation chains. Later rebuilt as Revenue Autopilot (Retivo) for subscription businesses.

Millions of events
Real-time scoring
VIP + fraud + reactivation
SaaS / E-commerceGlobalsellrise.ai ->
Automation architecture
Claude APItrigger
Automationorchestration
Claude APIintelligence
Outputdelivery
24/7, no humans
The problem

An online casino operator was doing retention on cohort blasts. Player events sat in the platform's own database, unusable for real-time decisions. VIPs went silent before anyone noticed, bonuses landed on the wrong cohorts, and the analyst team could not build the picture from raw data fast enough to act.

What we built

Built the retention engine from the event layer up. Redpanda ingests millions of events per day into ClickHouse. Per-player scoring runs continuously and produces a VIP desk worklist, a fraud queue, and a reactivation channel. Bonus economics are computed against actual player LTV, not cohort averages. LLM call analysis converts recorded conversations into structured signals. Reactivation chains fire per player based on the model, not a schedule. Later rebuilt as a multi-tenant SaaS - Revenue Autopilot / Retivo - for subscription businesses.

Results
01ClickHouse and Redpanda pipeline handling millions of player events per day
02Per-player scoring in real time - VIP desk gets a prioritised worklist
03Bonus economics tied to actual LTV, not blanket cohort spend
04LLM call analysis turns support recordings into structured retention signals
05Reactivation chains fire per player based on the model, not calendars
06Engine rebuilt as multi-tenant Revenue Autopilot (Retivo) for subscription businesses
Tech stack
ClickHouseRedpandaPythonClaude APIPostgresFastAPINext.js

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