The analytics layer that keeps the poker ecosystem healthy.
Poker is the most social product in iGaming and the most fragile. Liquidity has to be nurtured, game health depends on the balance between recreational and professional players, and a table that empties out at the wrong time can quietly cost a network its momentum. Rake, formats, seat availability and ecosystem dynamics all interact — and generic BI reads none of it. Gamblitude was built to read all of it.
Liquidity is the product. Everything else is a lever on it.
Sustain table health and liquidity, understand cash-game and tournament economics on comparable terms, and protect the ecosystem from collusion and bots — all on one governed model.
See liquidity move before the tables empty.
Healthy poker depends on the right players being in the right seats at the right time. Gamblitude tracks concurrency, seat occupancy and waiting lists by stake and format, so you see where liquidity is building and where it is bleeding away — while there is still time to react with promotions, guarantees or scheduling.
Protect the game from what erodes trust.
Nothing damages a poker room faster than the perception that the games are not fair. Insight Radar watches hand histories and behavioural patterns continuously, flagging chip-dumping, suspected collusion rings and bot-like play early — each alert arriving with the evidence attached, ready for the fraud team.
Understand rake and value at every format.
Cash games, sit-and-gos and multi-table tournaments each have a different economic profile, and averaging them together hides where the money really comes from. Master Chart and Lists compare rake, field size, re-entry behaviour and player value on truly comparable terms.
The ecosystem is the engine. These teams run on it too.
CRM, VIP, support and planning all depend on the same live poker data. Because every module shares one data model, the whole operation nurtures liquidity from the same reality instead of arguing about whose numbers are right.
Nurture the players who make games good.
Recreational players keep poker healthy, and losing them quietly is the most expensive thing a room can do. Dynamic segments by format preference, skill tier, deposit behaviour and churn risk let VIP and CRM protect the ecosystem — reactivating recreationals before they drift and rewarding the right regulars.
Reward economics that actually add up.
Rakeback, missions and leaderboards drive behaviour, but they also erode margin if untracked. Measure realised vs expected reward cost, impact on retention and volume, and which incentives grow the ecosystem versus which simply subsidise grinders.
The one-minute hand-history investigation.
Disputes and integrity questions mean reconstructing a story from several systems. Search by ID pulls any player, table, hand or transaction into one view, so support and fraud resolve in a minute instead of an hour.
Schedule and guarantee with confidence.
Predictive Models trained on real poker behaviour forecast concurrency, tournament turnout and overlay risk — so guarantees, schedules and series planning rest on forward signals rather than last month’s average.
One model for a product where balance is everything.
The visibility poker needs to protect liquidity, keep games fair and grow the ecosystem — without stitching hand histories, payments and CRM together by hand.
GOVERNED DATA MODEL
Everything above runs on four products, one data model.
Data Warehouse
Billions of iGaming events in one governed, live model.
Learn moreBusiness Intelligence
Dashboards, Master Chart, Lists, Reports, Targets.
Learn moreAI Agent
Ask, watch, report — grounded in your Metrics, in every channel.
Learn morePredictive Models
Churn, value and impact signals, days ahead.
Learn moreWhich tables are quietly losing liquidity tonight?
Bring the ecosystem question your dashboards couldn't answer. We'll put a live poker model on screen and trace it back to the definition — in one call.
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