Sean Spiteri: “Whilst deposits are the drivers of revenue, withdrawals are the drivers of trust.”

That is absolutely true, and it is a very common mistake. Encouragingly, this seems to be changing though, as Payments are finally receiving the attention it deserves.

Getting players through the door and completing registration is already a difficult, and a highly competitive endeavour. That makes the natural next step, successfully making a deposit, even more critical.

Getting the cashier experience right plays a pivotal role. It gives operators a unique opportunity to tailor the transactional journey and allow players to complete a deposit with as few steps as possible, making the experience seamless, quick and intuitive.

When a transaction doesn’t go through, the experience becomes just as important. Providing the player with a simple, yet understandable explanation of what went wrong, together with clear guidance on what they can do differently to succeed, can remove unnecessary friction and potentially avoid a visit to Customer Support altogether.

Understanding your markets is key. Knowing which payment methods are critical to remain competitive, and which ones are simply “nice to have”, can have a direct impact on conversion. If players cannot find the payment method they know and trust, they can quickly feel alienated, potentially resulting in the loss of an otherwise successfully acquired and registered player.

Many casinos give considerable thought to the deposit side of the cashier but neglect the withdrawal experience by making it clunky, overly complicated or even difficult to find. This can immediately raise a red flag for players, as it may create the perception that the operator is deliberately trying to discourage withdrawals. Once that perception exists, trust can very quickly deteriorate, making retention considerably more difficult, especially in saturated markets.

Ultimately, operators need to remember that whilst deposits are the drivers of revenue, withdrawals are the drivers of trust.

One of the great things about working in Payments is that it gives you the opportunity to collaborate with almost every department within any online gambling company. In doing so, you gain a much broader understanding of the business and what each team needs in order to perform effectively.

Acquisition is a great example of this. The Acquisition team often has a direct line to affiliates, who in turn have a strong understanding of the players they are bringing through the door and what those players are looking for. A skilled Acquisition team will have valuable insight into what it takes for the Operator to attract the right audience, from casino themes and promotional structures to the payment methods that are considered essential in a particular market.

The collaboration, however, needs to be a two-way street as Payments can use those insights to ensure that the cashier and payment offering are aligned with the players being acquired, but Payments can also provide the data needed to determine whether those acquisition efforts are genuinely delivering value.

It’s one thing to look at the registration numbers, or cost per acquisition and conclude that a campaign has been successful. It’s another to look at how many of those registrations actually went on to make a successful first deposit, what their approval rates looked like, which payment methods they attempted to use, and whether any friction occurred, which can completely change how a campaign is viewed.

Ultimately, Acquisition and Payments should be looking at the same funnel. Getting the player through the door is only half the job. Converting that player into a successful depositor is what completes the acquisition journey.

This is where things get tricky, as one of the core elements of the Payments role is figuring out what went wrong, or rather, whether anything actually went wrong at all. There are a number of factors you need to account for in order to distinguish the true reason behind a transaction being abandoned, or at the very least, make an educated assessment.

One of these is the ability to recognise player behaviour and patterns. A simple example would be distinguishing between a player who is simply exploring the new casino on the block, clicking around to see what’s what and checking multiple payment methods at different points in time, versus a player who has attempted the same method several times without managing to get a single deposit through.

That behavioural context is important, but it also needs to be combined with the transactional data. PSP response codes, technical errors, latency, timeouts and method-specific approval rates can help identify whether the problem lies within the payment infrastructure rather than the player journey itself.

Abandoned transactions can also highlight a plethora of UX-related issues, from friction within the interface to journeys that are simply too long, repetitive or unclear. There have been great strides in recent years in platforms’ ability to provide analytical data around the cashier, such as showing where drop-offs occur, how long users spend at particular stages of the depositing process, and where friction appears to be concentrated.

This gives Payments teams a much greater opportunity to improve the cashier journey and pinpoint the potential causes behind abandonment rather than looking at the metric in isolation.

Looking at a player’s previous transactional history, whenever possible, can provide another important layer of insight into their behaviour. It gives you a much broader dataset to compare against and can make unusual patterns or genuine issues considerably easier to identify.

Ultimately, the question should not simply be how many drop-offs occurred, but rather where did the player drop off, why did they drop off, and what happened next.

Bringing those elements together is what allows you to build the real story behind the data and, more importantly, understand what needs to be done about it.

Smart routing has become one of the most important tools available to Payments teams, because the reality is that no single PSP, acquirer or payment method will perform equally well across every market, card type, issuer or player segment.

Payment Orchestration Platforms are increasingly embracing machine learning and AI-driven decisioning, which can add significant value in this area. Compared with static rules that need to be manually configured and continuously maintained by Payments teams, dynamic routing can assess a much broader range of variables in real time and adapt decisions far more efficiently.

An effective routing strategy is one that looks into the finer details of each transaction in order to identify which route is most appropriate for a particular player in a particular situation.

Being able to determine which PSP is performing best across factors such as BIN, issuer, card scheme, geography and transaction profile, whilst also taking into account processing cost, contractual commitments and operational resilience. This allows the Payments team to make much more informed routing decisions.

It also creates the foundation for a far more effective fallback and retry strategy. Rather than simply sending a failed transaction to another PSP and hoping for a different outcome, the operator can make a more informed decision based on why the original transaction failed and which alternative route is most likely to succeed.

Ultimately, the best routing strategy is one the player never notices. They just know it worked.

Security and user experience are often treated as opposing forces, but I think that is slightly misleading. Done well, security is actually part of a good user experience.

Players want convenience, but they also want confidence. Knowing that an operator has robust controls in place to protect accounts, transactions and personal data contributes directly to trust. That sense of safety can become part of the overall value proposition, particularly in an industry where players are handing over both money and sensitive information.

The problem only really begins when security becomes overly visible or unnecessarily intrusive. If every action requires another code, another verification step or another interruption, the player can quickly feel that the process is disproportionate to what should ultimately be an enjoyable and convenient experience.

The better approach is to move as much of that protection as possible into the background. Rather than challenging every player equally, operators can use behavioural signals, device data, transaction patterns and historical activity to determine when additional verification is actually warranted.

That allows the majority of legitimate players to move through the journey with minimal interruption, while higher risk or unusual activity is met with additional checks only when necessary.

This is where machine learning and AI can be particularly useful. They allow operators to assess much larger volumes of behavioural and transactional data in real time, helping identify deviations from normal behaviour and trigger the appropriate level of friction accordingly.

The objective should therefore not be to remove friction altogether. It should be to make friction selective, proportionate and intelligent, protecting the player without making legitimate users feel like they are constantly being challenged.

Withdrawal processing speed is consistently a hot topic amongst operators, largely because there are two very different philosophies around how withdrawals should be handled.

One approach is to process withdrawals as quickly as possible, using speed as a way to build trust with the player and maintain that relationship, with the expectation that a positive payout experience increases the likelihood of that player depositing again in the future.

The alternative, to allow a period of time before processing the withdrawal, wherever regulators permit it, giving the player an opportunity to cancel the request and continue playing with those funds. From an operator’s perspective, this can potentially retain funds within the ecosystem whilst also avoiding additional processing costs.

Different markets naturally develop their own expectations, often heavily influenced by what competing operators are offering. However, when it comes to player trust and loyalty, there are very few levers that carry the same immediate impact as withdrawal speed.

There is arguably nothing more reassuring for a player than receiving their winnings quickly—particularly when they have only recently joined a casino and are still forming their opinion of the brand. That first successful withdrawal can be an important moment in establishing whether the player genuinely trusts the operator with their money.

Withdrawal processing also continues to be one of the most common reasons behind player contacts with Customer Support, which in itself speaks volumes about how important the topic is to players.

Fast withdrawals are therefore no longer a premium feature reserved for VIPs or used purely as a competitive differentiator. They are increasingly becoming the baseline that players expect operators to meet.

This is one of the more constant balancing acts within Payments, because cost and performance cannot really be looked at in isolation. They need to be assessed collectively.

When reviewing your PSPs and their respective pricing, you also need to factor in their approval rates, limitations, failure patterns and the amount of manual resource required to maintain optimum performance.

A PSP may offer excellent pricing, but if it delivers higher-than-usual failure rates, requires frequent intervention from your team, creates friction for players or regularly forces you to rely on support, then the saving made on processing costs can quickly become insignificant. In the worst case, that saving can come at the expense of the player entirely, making both acquisition and retention even more difficult than they already are.

One impactful way to mitigate this is to truly understand where each PSP performs well and where it struggles.

BIN-level analysis can be particularly valuable here. Rather than simply knowing that a provider underperforms in a particular market, you can identify the specific issuers, BIN ranges or card segments where that weakness exists.

That then changes the way you approach adding new providers. Instead of asking whether a prospective PSP simply supports a particular market, you can ask for performance data against the exact areas where your existing setup is struggling. This makes the selection process far more targeted and gives you a much better chance of actually improving conversion and filling a genuine gap in your payments portfolio.

Through payment orchestration, these insights can then be translated into meaningful routing strategies that help find the right balance between maximising approval rates and keeping processing costs under control.

Ultimately, the question should not simply be, “How do I reduce my payment costs?”

It should be: “How do I efficiently optimise the cost of successfully converting my players?”

Since I started my career in Payments, almost every part of the industry has evolved considerably. We have already seen a number of developments fundamentally change the way operators approach payments, which makes the next few years particularly interesting.

As with most things in Payments, I would be reluctant to name a single “winner” when it comes to what will have the biggest impact. Different technologies solve different problems, and their relevance can vary significantly from one market to another.

Instant payments are a good example. In many cases, they are already moving beyond being a premium feature and becoming a standard expectation. As player expectations continue to rise, PSPs are under increasing pressure to improve both deposit and withdrawal speeds in order to remain competitive in an already saturated market.

AI is another area that understandably comes up in almost every conversation today, and I think there is genuine substance behind the excitement. Its value within Payments can stretch from fraud and risk analysis through to routing optimisation, where operators can use much larger volumes of data to make faster and more informed decisions around performance, cost and conversion.

Open Banking also remains particularly interesting, especially across Europe. There is a clear commercial upside for operators through potentially lower processing costs, reduced chargeback exposure, fast account-to-account payments and continued innovation around financial data. The biggest challenge remains player adoption. Cards and established wallets still benefit from familiarity, while Open Banking can sometimes feel like a less familiar or more intrusive journey to players who are not yet comfortable connecting their bank account within an online gaming casino.

What I’m truly excited to see in the near future is how AI will be leveraged with machine learning capabilities to truly making effective strategies surrounding payment decisions that need to be made on a daily basis. The main takeaway from this is not to take the decision-making away from the Payments team, but rather, give it the opportunity to be able to execute on their decisions much faster.