SOLUTIONS · POKER
Poker analytics.
From seats to revenue.
Understand liquidity, rake and player retention in the same view.
Connect table activity, tournament results, payments and rewards in a shared data model. Give poker, CRM and finance teams the definitions and evidence to assess what changed.
BUILT AROUND THE POKER ECONOMY
The table is a shared ecosystem.
Measure it that way.
Poker analytics connects game activity with operator economics: table liquidity, hands played, rake, tournament fees and player retention. Gamblitude brings those measures into shared dashboards and AI investigations, keeping money wagered or contributed to prize pools distinct from operator revenue.
See where liquidity needs attention.
Compare concurrent players, occupied seats and waiting lists by stake, format and time of day, where these events are available. Follow the tables and sessions behind a change in activity. Dashboards and Master Chart help operations assess scheduling and promotion decisions with a consistent view of demand.
Understand the economics of each format.
Keep cash-game rake, tournament fees, prize-pool contributions, overlays and rewards separate. Compare formats and cohorts over equivalent periods. A governed contribution metric brings operator revenue and agreed costs together while preserving each component.
Connect retention with the games players choose.
Build Segments around format preference, recent activity, session frequency and reward history. Compare how new and returning cohorts contribute to liquidity and revenue. Bring the findings, CRM activity and rakeback costs into scheduled Reports, using comparable periods and shared definitions.
The data foundation
One definition of rake.
Clear context for every comparison.
Agree event coverage, timestamps, currency handling and metric rules before comparing performance. Table and hand-level analysis depends on the detail supplied by the poker system. Keep raw activity, operator revenue and cost allocations independently traceable.
Sources to connect
- Poker platform events: hands, tables, sessions and available waiting-list or seat-occupancy records
- Tournament schedules, entries, re-entries, fees, prize pools and settlement records
- Account, payment, reward and CRM records, joined through available identifiers
Metrics to define
- Concurrent players and seat occupancy by stake, format and time window
- Hands played, cash-game rake and tournament fees as separate measures
- Tournament entries, re-entries, field size and overlay under an agreed definition
- Active and returning player cohorts, reward cost and defined net contribution
Example questions
Start with the question
behind the number.
Which cash-game stakes lost occupied seats during peak hours, and did the change come from fewer players or shorter sessions?
How did rake and tournament fees change after rewards and overlays, using the same cost definitions for each format?
Which recent player cohorts returned for a second session, and how did their preferred formats and activity differ?
AI in the workflow
Ask. Follow. Investigate.
AI Agent
Explore a change using the connected poker data, governed Metrics and Attributes. Review the calculation and narrow the comparison through follow-up questions.
Insight Radar
Set a recurring investigation into an agreed measure, such as occupancy or reward cost. Review the finding in its comparison period and business context.
Autonomous Agent
The agent chooses threads in the connected business data and develops findings with supporting evidence. Your team decides which findings warrant action.
Explore the products
The capabilities
behind the workflow.
Data Warehouse
Connect operational sources and agree the data model behind your analysis.
Business Intelligence Platform
Explore performance through Dashboards, Master Chart, Segments, Reports and Targets.
AI for iGaming
Ask questions, schedule recurring investigations and commission reports.
Autonomous Agent
Review independently initiated investigations and follow the evidence into chat.
Predictive Models
Explore available player-level models and discuss their fit with your data and objectives.
Questions & answers
Poker analytics
explained.
What is poker analytics?
Poker analytics is the analysis of game activity, player behaviour and operator economics. For a poker room, that means understanding how liquidity, format choice, rake, tournament fees, rewards and retention relate. Gamblitude supports this work through connected data, governed metrics, BI and AI investigations.
How should poker revenue be measured?
Cash-game stakes are money played between participants; they are not the same as the operator’s rake. Tournament buy-ins may include a prize-pool contribution and a separate fee. Define these components individually, then agree which rewards, overlays and other costs enter a contribution or net-revenue metric.
Can Gamblitude analyse cash games and tournaments together?
Yes, when the relevant source data is connected. Teams can compare formats in the same platform while retaining the measures specific to each: seats and hands for cash games, entries and prize-pool economics for tournaments. Shared periods and explicit definitions make those comparisons meaningful.
Can we monitor poker liquidity by stake and time of day?
Where the poker platform supplies the necessary events, Dashboards and Master Chart can show concurrent players, occupied seats and waiting-list depth by stake, format and time window. During setup, agree how each measure is calculated and how often the source data becomes available.
How can the platform support poker integrity investigations?
Connected hand, table and account records give your integrity team context for reviewing unusual patterns. Use BI, AI Agent and scheduled checks to explore the evidence. Dedicated collusion or bot-detection logic requires a separately agreed scope and validation.
Which predictive applications can we explore for poker?
Player-level applications such as churn and value can be assessed against your poker data and objectives. Each Predictive Model is separately scoped, validated and quoted. Tournament turnout, liquidity or overlay forecasting requires a specific assessment of the available history and prediction target.
See Gamblitude in action
Bring the poker question behind the KPI.
Show us the liquidity, format or retention question your team needs to answer. We’ll walk through the relevant data, definitions and investigation workflow using a product demonstration.