Solutions · Online Casino
Online casino analytics.
Performance in context.
Understand the games.
Follow the player context.
Connect game, provider and player activity with the financial picture. Explore your catalogue, investigate changes in RTP and margin, and bring CRM, casino and finance teams onto shared definitions.
The casino playbook
A catalogue of games.
A connected business.
Online casino analytics connects game activity with provider performance, player behaviour and revenue. Gamblitude brings these views together so a portfolio review can lead into a game-level comparison, a player cohort or a closer look at bonus costs.
Read the catalogue.
Compare games and providers through Dashboards and Master Chart. Review stakes, winnings, GGR and player activity over the same period, then examine the available game attributes and player cohorts. Use that context when reviewing placements, new releases and provider performance.
Put RTP and margin changes in context.
Compare observed RTP and margin across periods, titles and providers. Set a recurring Insight Radar check for the questions your team follows. Review the underlying activity and data coverage before interpreting an unusual result; a deviation is a reason to investigate.
Connect content with player behaviour.
Use Attributes and Segments to examine game preferences, activity patterns and changes in engagement. Bring bonus costs and campaign data into the review when connected. Player Profiles provide individual context, while Reports let casino, CRM and finance work through the findings together.
The data foundation
The game view and the financial view.
On the same foundation.
Connect the sources needed for your first use cases, then agree how events, players, games and providers relate. Metrics define the calculations and filters used across dashboards, AI and reports. Source coverage and update schedules remain part of each analysis.
Sources to connect
- Casino transactions, game rounds and session events
- Game and provider catalogue attributes where supplied
- Player accounts, deposits and withdrawals
- Bonus, promotion and CRM campaign records
Metrics to define
- Stakes, winnings and casino GGR
- Observed RTP and defined casino margin
- Active players, sessions and bet counts
- Bonus costs and NGR under your agreed rules
Example questions
Start with the question
behind the number.
Which games and providers contributed to the change in casino GGR?
Does the RTP change remain when we compare the same titles and reporting period?
How did activity and bonus cost differ across the player cohorts in this campaign?
AI in the workflow
Ask. Follow. Investigate.
AI Agent
Explore a casino question in conversation, review supporting numbers and follow up by provider, game or Segment.
Insight Radar
Choose a recurring investigation, its scope and schedule. Receive the findings through your configured channels.
Autonomous Agent
The agent chooses threads in the connected data and follows related signals. Your team reviews the evidence and decides how to respond.
Explore the products
The capabilities
behind the workflow.
Data Warehouse
Connect game, player, payment and campaign records for consistent casino analysis.
Business Intelligence
Explore Dashboards, Master Chart, Segments, Reports and Player Profiles.
AI for iGaming
Ask questions and set recurring investigations with AI Agent and Insight Radar.
Autonomous Agent
Follow independent investigations into opportunities and emerging problems.
Predictive Models
Explore player-value, retention and recommendation models for your casino data and objectives.
Questions & answers
Online Casino analytics
explained.
What is online casino analytics?
It is the analysis of game activity, provider performance, player behaviour and casino economics. Gamblitude connects these views through a managed data foundation, self-service BI and AI so teams can investigate both portfolio performance and the detail behind it.
Can we compare individual games and providers?
Yes. Use Dashboards, Master Chart and governed Metrics to compare the dimensions available in your connected data. Game and provider attributes can add context, while Segments support comparisons between defined player cohorts.
How does RTP monitoring work?
Define the metric, reporting window and comparison you want to review. Insight Radar repeats the chosen investigation on a schedule. Examine the underlying game activity, player mix and data coverage to understand the context of an observed RTP change.
Can we analyse bonuses and player retention together?
When campaign, bonus and activity data is connected, compare costs and behaviour across periods or cohorts. Use consistent definitions and comparable groups, and account for other changes when evaluating a campaign.
Does the platform update every source in real time?
Freshness depends on source availability, delivery method and processing schedule. We agree those requirements during implementation so teams know which period and data coverage each view represents.
How can Predictive Models support casino teams?
Explore applications such as content recommendations, player value and churn. Each Predictive Model is separately scoped and quoted against its use case and data requirements. Your team decides how to use the signals in content, CRM or other operational workflows.
See Gamblitude in action
Bring a casino question.
Explore the detail behind it.
We'll walk through a casino example using demo data, then discuss your catalogue, source systems and the questions your teams need to answer.