Our team’s churn models cut player churn by 10% at a global bookmaker. See how →
Book a demo
MENU
Marketing Intelligence · AI model

Recommendation Engine

Show every player the game, market or offer they're most likely to love next.

See it on your dataStart with a health check
In short

GAMWIT's Recommendation Engine suggests the next best game, betting market or offer for each player, including cross-sell between casino and sportsbook, to lift engagement and value per player.

What it looks at
  • Game and market history
  • Session timing and patterns
  • Behaviour of similar players
  • Offer response history
  • Product cross-over
What you get
  • Ranked recommendations per player
  • Cross-sell targets between casino and sportsbook
  • Personalised offer suggestions for CRM
  • Lobby and content personalisation inputs
Who uses it

CRM, product and content teams

Part of Marketing Intelligence. Runs on GAMWIT's 500+ gaming variables with no player PII.

From the blog · 7 min read

Why VIP player retention is a strategic imperative for casino operators

A practical framework for casino player retention: the PDCA cycle, unified player data, segmentation, UX and incentives that keep VIPs without encouraging harm.

Read article
Other GAMWIT models
Marketing Intelligence

Churn Prediction

Know which players are about to leave, while there's still time to keep them.

Explore the modelMarketing Intelligence

Lifetime Value (LTV) Prediction

Spot tomorrow's most valuable players on day one.

Explore the modelRisk Intelligence

Bonus Abuse Detection

Protect your promotions budget from players who only play for the bonus.

Explore the modelRisk Intelligence

De-duplication

Find the one person behind many accounts.

Explore the model
Talk to us

See what GAMWIT would find in your data.

Book a 30-minute demo with our gaming analysts, or start with a health check to see where your business is leaking value.

Book a demoStart with a health check