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Closing the loop: Connecting marketing investment to player value

Published ahead of NEXT Summit: Valletta 2026 — 27–28 May, Mediterranean Conference Centre, Malta

Marketing spend represents one of the largest cost areas of operator spend in iGaming, yet most operators find it difficult to reliably answer three questions: where is our budget actually going, is it working, and what should we do next? Decisions about investment, player engagement, and commercial outcomes are made in isolation – by different teams, using different tools, against different definitions of success.

The intelligence gap

The gap most iGaming operators face is structural. Marketing mix and attribution models sit with one team. Customer relationship management (CRM) and player engagement sit with another. Financial outcomes: Lifetime value (LTV), margin, contribution, sit with a third. Each layer generates insight, but none of them talk to each other in a way that drives better decisions.

The consequences compound. Budget is allocated based on attributed performance rather than true incrementality, so capital flows to channels that look good in dashboards rather than those genuinely driving value. Player engagement is managed through campaign logic, broad segments, fixed schedules, rather than responding to individual behaviour in real time. And because acquisition and retention operate independently, value identified at the point of acquisition is routinely lost during the player lifecycle.

Deloitte's view is that this gap cannot be closed by better reporting alone. It requires a fundamentally different architecture: a connected intelligence system where investment decisions, player-level decisioning, and commercial outcomes form a single, continuously improving loop.

Three connected layers

Deloitte structures this around three layers that together form the closed feedback loop operators are currently missing.

Layer one: marketing investment intelligence. The starting point is understanding where marketing capital is genuinely creating value. We work with organisations to move beyond platform reported attribution toward robust, econometric measurement, connecting spend across paid media, affiliates, CRM, and product into a unified model that identifies true incrementality. The output is not a measurement report but a forward-looking allocation engine: operators can simulate budget decisions before capital is committed and model outcomes in terms of incremental net gaming revenue (NGR), contribution margin, and LTV.

To deliver this, Deloitte works with Fieldstream AI, a platform built around a capability most operators have written off as impossible: attributing brand marketing spend to actual player acquisition. Brand investment - TV, sponsorship, out-of-home, etc. - has long been treated as an intangible, measured by awareness metrics rather than commercial outcomes. Fieldstream changes that. By connecting brand activity to the real new players it drives, and placing that alongside performance channels in a single unified model, operators can for the first time see the true contribution of every pound in the marketing mix. The result is not a reporting layer but an allocation engine – one that tells operators with confidence where the next €1m should go and what it will return.

Layer two: player decisioning. Knowing where investment is working is only half the problem. The question that follows is how to maximise the value of every player relationship from acquisition onward. As one embeds artificial intelligence (AI) decisioning at the player level, moving operators away from campaign-based CRM toward a continuous optimisation engine that determines the next best action, incentive, and timing for each individual player in real time.

For this layer, GoldenWhale, an AI decisioning platform that operates at individual player level, continuously and in real time. Rather than campaign logic, broad segments, fixed schedules, batch processing, GoldenWhale runs as a live optimisation engine. Incentives reach players whose behaviour suggests genuine responsiveness. Reactivation triggers fire at the moment of highest predicted receptiveness. Churn is identified and acted on before it happens. Critically, it never stops: there is no campaign calendar, no batch cycle, no waiting. It adapts as player behaviour evolves, which is precisely what Deloitte's continuous decisioning approach requires. an AI decisioning platform that operates at individual player level, continuously and in real time. Rather than campaign logic, broad segments, fixed schedules, batch processing, GoldenWhale runs as a live optimisation engine. Incentives reach players whose behaviour suggests genuine responsiveness. Reactivation triggers fire at the moment of highest predicted receptiveness. Churn is identified and acted on before it happens. Critically, it never stops: there is no campaign calendar, no batch cycle, no waiting. It adapts as player behaviour evolves, which is precisely what Deloitte's continuous decisioning approach requires.

Layer three: data foundation and organisational capability. Both layers above are only as powerful as the data flowing into them and the organisation capable of acting on their outputs. This is where most iGaming transformations quietly fail. Deloitte leads the end-to-end data and technology transformation required to make the system work: consolidating fragmented customer data into a coherent single view of the player, building the integrations that connect acquisition, product, payments, and CRM, and establishing the governance and architecture that sustains the system as the business scales. Alongside this, Deloitte builds the organisational capability that ensures insights translate into decisions, embedding outputs into governance routines, aligning incentives around shared value metrics, and connecting what the system measures to the financial outcomes that matter at board level.

The compounding feedback loop

What distinguishes this approach from conventional analytics investment is that the system improves over time. As real player activity, retention patterns, and incentive performance flow back through the loop, both the allocation models and the player decisioning engine continuously sharpen. Every campaign, every cohort, every player interaction becomes an input that strengthens the next decision cycle.

This is what most operators are currently missing: acquisition strategy and retention execution aligned around the same definition of player value, getting more accurate with every cycle. The system does not just measure – it learns. Every campaign, every cohort, every player interaction feeds back in, and the decisions it drives compound over time. The gap between operators who build this kind of connected capability early and those who do not will become very difficult to close.

Why now?

The external environment is moving against operators who rely on fragmented approaches. Acquisition costs are rising. Regulatory scrutiny is intensifying. Privacy changes are steadily eroding the deterministic tracking that underpins most current attribution models, making robust, econometric measurement not just preferable but necessary.

The operators who build sustainable value over the next years will be those who treat marketing as a capital allocation discipline: measuring true incrementality, connecting investment to player value, and building organisations capable of acting on what the data tells them. That is precisely what Deloitte's connected intelligence approach is designed to deliver.

Meet the team at NEXT Summit: Valletta 2026

Join Deloitte, Fieldstream, and GoldenWhale at the Next Summit: Valletta 2026 on 27–28 May, Mediterranean Conference Centre, Malta

If you are an iGaming organisation asking where your marketing budget is really going, whether your CRM is genuinely driving value, or how to close the gap between data and decisions, this is your opportunity to have that conversation.

Attend the panel discussion: From AI Hype to ROI: Where iGaming Should Spend and What to Do Next (Sala Ospitalieri)

Connect with us to explore how a connected intelligence system can transform your marketing ROI, unlock player value, and drive measurable business outcomes. Whether you're looking to optimise investment allocation, enhance player decisioning, or build the data foundation for sustainable growth, our team is ready to discuss your specific challenges and opportunities.

Don't miss this chance to learn from industry leaders and discover how to close the loop between marketing investment and player value.

Read more about Deloitte's approach: Beyond the Bet — Deloitte Malta

Next steps: Let’s talk!

If you’re an iGaming operator looking to improve your marketing ROI, reduce uncertainty in decision-making, or gain clear visibility into what’s truly driving value, let's talk!:

This article was written in collaboration with Eberhard Dürrschmid, Golden Whale CEO and Antoine Bonello, CEO of Fieldstream.ai

Eberhard Dürrschmid

Founded gaming-heavyweight Greentube – CEO from start to the successful sale of the group. Currently CEO of Golden Whale. Investor and consultant in several tech businesses. PhD in Biotech with focus on Data Science.

Antoine Bonello

Antoine Bonello is CEO of Fieldstream.ai and Principal at Vari Partners. With nearly two decades in iGaming, he sits at the intersection of data, marketing, and M&A—helping operators understand what truly drives profitable growth and how to scale it across markets and verticals. 

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