Cloudwalker Solutions
Cloudwalker Personalizer is an AI-powered casino recommendation engine that delivers hyper-personalised game suggestions — increasing engagement, session length, and revenue for iGaming operators.
The problem
The average online casino hosts 2,000+ games. The average player finds a handful they like — usually by accident. Meanwhile, operators invest in content and promotions that never reach the right audience.
It's not a content problem. It's a relevance problem. Cloudwalker Personalizer fixes that by building a unique, ranked game catalogue for every player — refreshed every day from their actual behaviour.
| Generic lobby | With Personalizer |
|---|---|
| Same games shown to every player | Ranked lobby unique to each individual |
| New titles buried under popular games | New launches reach players most likely to love them |
| Bonus campaigns sent to all segments equally | Promotions matched to player preference profile |
| Players churn after hitting their regular games | Discovery drives longer sessions and return visits |
| Cold-start players see irrelevant content immediately | First session already personalised from day one |
Recommendation engine
The engine reads every click, session, and stake across a player's full history and produces a ranked game list that belongs to that person alone. Not a segment. Not a demographic. One player, one ranking — refreshed daily as their behaviour evolves.
A player finishes a session on Book of Ra. Instead of sending them back to the generic lobby, the engine surfaces the three games most like the one they just played — same volatility, same feel, same rhythm. The moment they're most likely to keep playing is exactly when you show them what to play next.
Preference clusters replace broad demographic segments. Instead of sending the same free-spin offer to 50,000 players, your CRM team can reach the 4,200 who actually play high-volatility slots on weekends — with the exact game their data says they'll open.
A brand-new player has no history, but they're not a blank slate. Cold-start models infer preference signals from registration data and the first few interactions — so the lobby they see on their very first visit is already working to keep them there.
iGaming coverage
Hyper-personalization engine
Amazon Personalize is the recommendation core — a fully managed ML service that ingests fresh interaction data each night, retrains, and produces a new ranked game list for every active player. No model tuning, no infrastructure ops, no drift.
Integration
Built on AWS
We'll run a live demo using your own game catalogue and player data — so you see real recommendations, not a sandbox. From first conversation to live personalisation in under two weeks.