Resources
Insights for iGaming operators.
Articles and guides for iGaming leaders on turning data into better decisions, from the team building Bounty.
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Four hubs that gather the articles and guides on a subject into one place.
The CEO's operating picture: one set of numbers for the whole book
A CEO does not need another dashboard. They need one agreed set of numbers for the whole operation, and the reason behind each move.
Read the articleRun your book without a big data team
You do not need a BI department to see your operation clearly. A note on running an iGaming book with the visibility of a large team, without building one.
ReadBoard reporting: numbers the people you answer to can trust
The number in the board deck should match last quarter's, and survive a question. A note on consistent, provenance-backed reporting for iGaming boards.
ReadThe CFO's view: protecting margin and cash, not just reading them
Margin slips before the dashboard shows it. A note on how a CFO keeps NGR margin and cash under control with governed numbers and a board-ready story.
ReadOne operating picture across every team
Every team sees a slice, and nobody sees the whole day. A note on running an iGaming operation from one picture across players, payments, risk and support.
ReadAI on your data, not a copy of it
A platform decision is a data-path decision. A note for iGaming CTOs on warehouse-native AI, keeping player data in your environment, and access you control.
ReadGrowth measured in player value, not sign-up volume
Registrations look strong until the cohort value arrives. A note for iGaming CMOs on judging acquisition by the value of the players it brings, not volume.
ReadRegulator-ready by default: the audit trail an MLRO needs
Accountability lives in email threads until a regulator asks. A note for compliance officers and MLROs on an audit trail that is ready by default.
ReadExplainable next best action: a recommendation should show its reasons
In iGaming CRM, a next best action is only useful when a manager can see why it was suggested. A note on recency, timing, suppression and human judgement.
ReadOne definition of NGR: why your dashboards disagree
When two reports show a different NGR, the problem is rarely the data. It is that each carries its own quiet definition. A note on governed metrics.
ReadBonus cost is not bonus value: reading promotions by contribution
How many bonuses were issued is the wrong question. What they cost after wagering, and whether the players stayed, is the one that changes a plan.
ReadResponsible gambling is a workflow, not a label
A protection programme is judged on what happens after a risk signal, not on the dashboard that shows it. A note on cases, ownership and suppression.
ReadAcquisition is an economics question, not a volume one
Registration counts tell you a channel is busy. Cost to acquire and value returned tell you whether it is worth it. A note on reading CAC against LTV.
ReadBusiness memory: the context that should travel with the numbers
Why a quarter was unusual is knowledge that usually leaves with the person who knew it. A note on capturing business context so later analysis inherits it.
ReadFrom the estate to the shop: retail analytics that connects both
Estate totals hide the shops that need attention. A note on reading a retail network from the regional map down to a single outlet, without changing tools.
ReadThe negative-contribution player: finding bonus abuse before it adds up
A promotion worked as designed can still be worked against you. A note on spotting repeated negative-contribution patterns and quantifying the exposure.
ReadThe AI operating system for iGaming: from question to operation
Point tools answer a question and stop. A note on what changes when asking, understanding, acting and operating run in one workspace on one set of definitions.
ReadMore dashboards is not more clarity
Every unanswered question becomes another dashboard, until nobody can find the one they need. A note on why a flexible cube beats a wall of fixed views.
ReadGGR to NGR: reading where headline revenue goes
A strong gross number and a weak net one tell a story that only appears between them. A note on reading the path from GGR to NGR without losing the reasons.
ReadWhen growth and compliance share the same logic
Most operators run marketing and player protection on separate systems, which is how a vulnerable player receives a reload offer. A note on one shared view.
ReadSupport without switching tabs: the player in one place
A support agent's answer is only as fast as the context they can reach. A note on seeing wallet, sessions, bonuses and tickets for one player, in one place.
ReadAffiliate quality is not a registration count
An affiliate that sends a thousand signups and an affiliate that sends fifty depositors are not comparable. A note on judging partners by the players they bring.
ReadValue concentration: how much of the business is a few players
Most operators are more dependent on a small group of players than their averages admit. A note on seeing tier contribution and managing the concentration.
ReadSegmentation: why the average player does not exist
An operator managed by averages is managing a player who is not real. A note on seeing value tiers and lifecycle groups instead of one blended number.
ReadThe morning shortlist: turning a player base into a day's work
A CRM team cannot review a hundred thousand players. It can review the fifty that matter today. A note on prioritising a base into an actionable list.
ReadReading payment friction: where deposits quietly fail
A failed deposit is a player who tried to give you money and could not. A note on seeing method-level success, declines and payout time before they cost you players.
ReadA tool nobody opens is not a rollout
Buying analytics is not the same as adopting it. A note on watching who actually uses a workspace, so a rollout is measured by activity, not by licences.
ReadCollaboration should not widen who can see the data
The usual way analysis gets shared, a screenshot in a chat, quietly defeats every access control. A note on collaboration that respects the permissions you set.
ReadBuild or buy: the real cost of a homegrown analytics stack
A BI team that builds everything ends up maintaining a product instead of answering questions. A note on where in-house effort pays off and where it quietly does not.
ReadThe back office is where the operation actually runs
Analytics tells you what to do; the back office is where it gets done. A note on why the admin console deserves the same attention as the dashboards.
ReadProvenance: an answer should say where its data came from
The most dangerous chart is a convincing one built partly on data that is not real. A note on why analytics should label what is measured and what is modelled.
ReadDashboards show what changed. They cannot tell you why
A dashboard reports a movement and then falls silent. A note on the gap between seeing that a number moved and understanding the reason it did.
ReadA revenue movement is a finding. Its cause is a separate question.
A practical perspective on interpreting iGaming revenue changes without confusing a reported movement, its arithmetic explanation and its underlying cause.
ReadThe operational cost of an unanswered business question
Why iGaming leaders should measure the work between receiving a report and reaching a decision, including handovers, uncertainty and ownership.
ReadBetter player service starts before the next reply
How clearer account context and accountable handovers can help iGaming support teams resolve service issues without repeatedly rebuilding the history.
ReadA faster report is useful. A faster informed decision is the goal.
Evaluate iGaming reporting by the understanding it creates, the questions it resolves and the decisions it supports.
ReadWhat should an iGaming AI pilot actually prove?
Define an iGaming AI pilot around useful answers, comparable workflows, measurable effort and a defensible purchasing decision.
ReadConnected teams still need clear ownership
Why shared information needs explicit handovers, accountable owners and clear completion criteria in iGaming operations.
ReadWhat makes an AI business answer worth trusting?
Assess AI-generated business answers through definitions, scope, evidence and uncertainty rather than confidence of presentation.
ReadHow current does your information need to be?
Set information-freshness expectations around the decisions iGaming teams need to make, rather than relying on a real-time label.
ReadEvaluate operational software with a business scenario, not a feature count
Use representative iGaming business scenarios to assess software fit, evidence quality, handovers and practical operating requirements.
ReadAccount context should support responsible service
Why account summaries should distinguish confirmed activity, unresolved issues and authorised next steps in iGaming service workflows.
ReadA shared business view needs shared meaning
Why consistent definitions and clear reporting scope matter as much as a shared workspace for iGaming leadership and operational teams.
ReadBuild the business case for AI around work your team already does
Build an iGaming AI investment case from measurable operational work, realistic costs and clearly separated capacity and revenue benefits.
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