Client library
How Bounty works, for customers.
In-depth guides on investigations, daily reporting, player service, data architecture, player protection and pilots. Anyone can read the previews. The full guides, product screens and walkthroughs are for Bounty AI customers and pilot partners.
Customers only
Executive series
6 guidesYour iGaming business has the data. Can your teams use it together?
An executive guide to connecting iGaming reporting, investigations and account operations around clearer decisions and accountable follow-through.
For Owners, CEOs and COOs
Read the previewWhy did sportsbook GGR fall? Start with the explanation, then inspect the evidence.
A worked sportsbook GGR example separates turnover and hold effects, so executives can question a revenue decline without confusing correlation and cause.
For Owners, CFOs and Heads of BI
Read the previewWhat an iGaming daily report should tell the executive team
Build a clearer daily iGaming report around the change, its context, what is going well and the next actions, with evidence close at hand.
For CEOs, COOs and department heads
Read the previewCan you trust an AI answer about revenue? Five checks before you act.
Evaluate conversational iGaming analytics with five checks covering metric definitions, scope, arithmetic, evidence and uncertainty.
For CFOs, CTOs and Heads of Data
Read the previewA player asks about a failed payment. Does your team have the full picture?
Show support teams the payment sequence, account context and next service steps so repeated attempts do not become misleading account conclusions.
For COOs, support leaders and VIP service managers
Read the previewWarehouse-native iGaming software: the questions to ask before buying
An iGaming software buyer’s guide to data copies, freshness, metric definitions, access controls and the evidence to request in a pilot.
For CTOs, owners and Heads of Data
Read the preview
Technical series
16 guidesDesigning the semantic layer behind reliable iGaming GenBI
A technical design guide to metric contracts, join cardinality, query controls and reproducible investigations for conversational iGaming analytics.
For CTOs, CDOs and Heads of BI
Read the previewWarehouse-native does not mean zero latency: design the complete data path
Model the latency, data-copy boundaries and recovery requirements between iGaming events, warehouse analytics and operational systems.
For CTOs, data architects and CRM platform leads
Read the previewVIP cohort drift: how to validate a churn model before trusting its scores
Evaluate iGaming churn models through label definitions, temporal validation, calibration and cohort monitoring without confusing prediction with causation.
For CDOs, Heads of BI and CRM analytics directors
Read the previewConnecting player protection to decision workflows: an architecture review
A reference design for current account checks, decision gates, evidence trails and human review across iGaming operational systems.
For Compliance officers, CTOs and operational risk leads
Read the previewPAM payment reconciliation: why event history matters more than a balance card
A technical framework for payment state, event deduplication, wallet reconciliation and exception ownership in iGaming back-office operations.
For CTOs, CFOs, payment operations and PAM owners
Read the previewHow to measure an iGaming AI pilot without inventing the ROI
Structure an iGaming AI pilot around reviewed answers, workflow baselines, loaded costs and measurable operational outcomes.
For Owners, CTOs, CFOs and procurement leaders
Read the previewDesigning a KPI cube for iGaming self-serve analysis
A technical design guide to measures, grains, dimensions and prior-period comparison for a KPI cube that operators can explore without a new dashboard for every cut.
For Heads of BI, data engineers and analytics leads
Read the previewMeasuring post-bonus retention with cohorts
A technical guide to bonus-impact cohorts: issued versus released cost, post-bonus retention ramps, and the comparisons that show whether a promotion actually kept players.
For CRM analysts, retention leads and commercial finance
Read the previewDesigning an explainable next best action for iGaming CRM
A technical guide to next-best-action design: the behavioural signals behind a recommendation, timing and format, and suppression as a first-class stopping condition.
For CRM leads, data scientists and player-protection owners
Read the previewChannel economics: reading CAC against LTV in iGaming
A technical guide to acquisition economics: blended LTV to CAC by channel and affiliate, spend ingestion, attribution windows and comparing cohorts at equal age.
For Acquisition leads, commercial finance and affiliate managers
Read the previewA repeatable investigation method: from a change to its drivers
A structured way to move from a metric that moved to the drivers worth checking, with the evidence attached, so an investigation is repeatable rather than improvised.
For Heads of BI, finance leads and analysts
Read the previewReading a cohort heatmap: acquisition quality, not calendar growth
How to read an iGaming cohort heatmap so you compare cohorts at the same age, separate acquisition quality from growth, and avoid mistaking a young cohort for a weak one.
For CRM, acquisition and BI analysts
Read the previewSegment Explorer: from a persona-lifecycle matrix to inspectable players
A method for using a persona-by-lifecycle segment matrix to find meaningful groups, then opening the players behind a cell so a segment is validated, not assumed.
For CRM strategists and analysts
Read the previewReconciling the analytical P&L: where headline revenue goes
How to read an analytical iGaming P&L from GGR through bonuses to NGR, with the fee assumptions explicit, so the net figure can be explained rather than just reported.
For Finance leads, CFOs and analysts
Read the previewWorking the KYC verification queue with an audit trail
A method for working an iGaming KYC verification queue: reading levels and pending accounts, prioritising review, and keeping access and consent events on record.
For Player operations, risk and compliance teams
Read the previewWallet analytics: reading a player's cash position without misquoting it
How to read an iGaming player's wallet: deposited, withdrawn and net position across both directions, with clear labels so net deposits are never quoted as available funds.
For Player operations, support and finance teams
Read the preview
Customers only
The full library is for Bounty AI customers.
Full guides, product screens and walkthroughs are available to Bounty AI customers and pilot partners. Access is by invitation, and customer sign-in is not open yet.
Pilot partners get the full library when their pilot starts.
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