Africa’s mobile money ecosystem presents unique fraud detection challenges because millions of customers use wallets tied to phone numbers rather than traditional payment cards.
Standard fraud-monitoring tools were built primarily for card-based environments, relying on signals such as card history, transaction patterns, and device or network data.
Without those conventional signals, the absence of a safety net becomes immediately visible when analysing real transaction data from across the continent.
Flexifai recorded an average mobile money conversion rate of roughly 68% across its African traffic last month, but the spread between markets and operators was enormous.
Performance ranged from over 90% conversion at the top end all the way down to single digits at the bottom, a gap that reveals significant operational inconsistencies.
That wide variance likely reflects differences in how each individual channel is configured and verified rather than differences in the underlying customer risk profiles.
Because the mobile phone sits at the centre of how African customers access payment services, fraud protection must be built around the phone rather than the card.
Instead of card data, systems examine other signals including the phone number, the email address, and even how fast and in what order someone enters their details during checkout.
Kenya is Flexifai’s largest mobile money market by volume, yet customer yield in that market lags behind better-tuned channels operating elsewhere across the region.
In some cases, the very same operators and customer base show sharply different results depending on which channel and configuration handles the transaction.
This finding is a reminder that lower channel performance does not necessarily indicate higher customer risk, since routing, verification settings, and other operational factors also play an important role.
Flexifai’s experience across the region demonstrates that when a channel is properly tuned, the result is both improved safety and stronger conversion simultaneously.
For iGaming operators processing payments across African markets, these findings underline the importance of understanding mobile money infrastructure as a distinct environment with its own fraud logic.
Operators who apply card-era fraud frameworks without adaptation risk both elevated fraud exposure and unnecessarily suppressed conversion rates that hurt legitimate customers.
As mobile money volumes continue to grow across the continent, the pressure on payment providers to develop Africa-specific fraud intelligence will only intensify going forward.
