A goal, card or other event could, therefore, become another contextual signal from which the system determines the appropriate next action, which changes CRM from something that predominantly analyses what happened yesterday into something capable of becoming part of the experience taking place now. Smith sees an opportunity to make betting more engaging rather than simply extracting greater spend.
“If we’re not always trying to stretch spend per head, we give you more entertainment for that money.” Te upshot might mean another relevant market, a real-time bonus or simply a different experience based on what has happened during the event. Te objective is not necessarily to persuade a customer to spend £30 today if doing so damages a relationship that could otherwise generate £10 a week over a much longer period.
Real-time intelligence still needs a longer-term view of the player. “Tat tension between real time, making it relevant and enriching the betting experience, as well as that long-term lens - they complement each other” underlines Smith.
JUST BECAUSE YOU CAN...
If technology makes it possible to contact customers more frequently and with ever more sophisticated offers, personalisation could simply become a more efficient form of spam. To counter this, Smith has a simple rule. “Just because you can doesn’t mean you should.” Relevance, he argues, has to extend beyond understanding what
somebody is betting on. It also needs to understand the broader relationship with that player, including their activity, previous behaviour and potentially signals suggesting that the correct action is not another promotional message at all. Tis becomes particularly important as traditional marketing channels lose effectiveness.
Smith says email opt-in rates that might once have reached 60 or 70 per cent can now sit at 20 or 30 per cent in markets he’s worked in. In which case it’s the platform itself that becomes increasingly important.
“When you’re on platform, that’s the time to make a difference,” claims Smith. Rather than trying to pull a player back through another email, CRM becomes embedded within the product. Te sportsbook or casino interface can respond to what the customer is doing. It also explains why Smith repeatedly returns to one word: context. Adding a large language model to a CRM platform is relatively straightforward. Making its output commercially useful, consistent and compliant is considerably harder.
EveryMatrix is developing what Smith describes as “context libraries,” establishing what the AI should understand about the customer, the operator’s objectives and the regulatory environment before determining an action. Different markets impose different restrictions. Customers have different permissions and risk profiles. Operators have different commercial priorities. An AI system capable of generating almost unlimited variations needs to understand those boundaries before its speed becomes useful.
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