The latest EGBA reports have indicated that not only are members sending more safer gambling messages than ever before, but also that these messages are becoming increasingly personalised. How important do you think it is for gambling companies to keep looking at the topic of safer gambling/harm prevention and finding more tailored ways to reach their at-risk customers?
Oliver Niner (ON): PandaScore is on the supplier side of the industry, but responsible gambling is very important to the business and everyone who works for it. We go to great lengths to ensure that the data that we provide to our operator partners allows them to do the best job they can of looking after their players, that their activity can be monitored and that any potential problem gambling issues can be picked up early. It’s not our responsibility to protect players, but we do everything we can to facilitate safe gaming. This includes ensuring that all participants in the esports matches that we provide data and odds for are over the age of 18 and we also have a blacklist of matches and tournaments where the likelihood of collusion and other issues are high. This means that we only provide data and odds for matches that are fair and where all players are over the age of 18. Personalisation is a must for operators across all areas of their business, and responsible gambling is no different. If you really want to engage a customer, you need to connect with them on a personal level.
Alex Iaroshenko (AI): Having a solid policy in place for safer gambling/harm prevention and paying close attention to related technology such as Fraud Detection Systems (FDS) are two of the most important things an iGaming business needs to do. When they can prove to the industry that they’re focused on these matters and are committed to developing more sophisticated ways of dealing with at-risk players, their business obviously becomes a lot more trustworthy and they’re likely to attract greater cooperation from companies on the B2B side in future. From the B2C side, speaking openly about safer gambling and how you intend to protect your players also improves your standing in the eyes of bettors as it reassures them they’re playing in an environment where their best interests are being looked after.
What is it about personalised messaging that you think makes it more impactful with customers? Does following betting behaviour closely and responding to events in real time potentially enable gambling operators to intervene at the exact moment where customers are most at risk?
ON: So this isn’t really in PandaScore’s wheelhouse but I am a firm believer that personalised messaging and closely monitoring betting behaviour are highly effective when it comes to improving responsible gambling. There are powerful technologies in the market that allow for real-time monitoring of player behaviour, with the first sign of problem play flagged, often automatically. So long as the operator has the right processes in place, individual players can then be engaged and supported before it becomes a major issue for them. As a provider, we do everything we can to support our operator partners in their efforts to protect players – as mentioned above, this includes providing them with the best data only from tournaments and matches where players are over the age of 18. Ultimately, responsible gambling requires commitment from all stakeholders and as a supplier of data and odds, we are doing everything we can to contribute to this effort.
AI: Absolutely. By closely following a customer’s betting activity and responding to certain “red flag” behaviours in real time, gambling operators can potentially intervene at the precise moment where their messaging will be at its most impactful. This is often referred to as responsible gambling or harm minimisation and has become a key part of overall safer gambling strategy, with many gambling regulatory authorities now requiring operators to issue these personalised interventions and use other RG measures to protect vulnerable customers. Generally speaking, a personalised message is always going to be more likely to get a customer’s attention than a generic one, and while this can be beneficial for safer gambling purposes, operators should ensure these tailored communications are used responsibly elsewhere and aren’t encouraging users to engage in harmful gambling behaviour.
In light of the above, how big of a role do you think AI has to play in improving the protection that’s offered to at-risk players? Presumably if gambling operators are able to monitor betting activity and issue appropriate safter gambling messaging automatically, it will eliminate human error and ensure that no players fall through the cracks when they’re at their most vulnerable?
ON: PandaScore is a big proponent of AI – so long as it is used in the right way – and we have embraced this technology and used it extensively when building our product offering. AI can absolutely be used to improve responsible gambling, especially when it comes to monitoring player behaviour and patterns to identify potentially at-risk players early. That said, AI needs to be combined with human oversight in order for it to be deployed responsibly and for operators to be able to leverage the full potential of the technology, especially when it comes to safe gaming. By combining humans and AI, the technology can be further developed and refined specifically for the purpose of safe gaming so that it keeps getting better at identifying potentially at-risk players and then delivering the right messaging at the right time.
AI: While AI can significantly enhance responsible gambling measures, it’s important to note that it should always be used in conjunction with human oversight and viewed through a lens that also takes ethical considerations into account. At this precise moment in time, human expertise remains crucial in interpreting AI-generated insights and using them to make decisions that balance player protection with a positive user experience. All AI systems must therefore be designed with transparency, fairness and privacy in mind to ensure they are used responsibly and ethically. Essentially, a good AI system should act as a reliable co-pilot that can track, inform and make recommendations when there’s a safer gambling issue, but it’s down to staff to interpret this data and decide the best course of action.
