By Leah Ogunleye
Africa’s fintech industry has expanded access to digital financial services, but its next challenge is turning access into sustained usage, customer trust, and measurable value. Artificial intelligence (AI) can help bridge this gap, but only when it is applied to real customer problems rather than treated as a technology trend.
For fintech companies, success should not be measured solely by how many people download an application. A more important question is whether customers continue to use it, trust it with their money and find meaningful value in its services.
The next phase of African fintech growth will depend on combining responsible AI, customer-centred product design and effective product marketing to build services that become part of people’s everyday financial lives.
Moving beyond access
Africa’s digital financial services ecosystem has made considerable progress. According to the GSMA’s State of the Industry Report on Mobile Money 2025, the global mobile money industry surpassed two billion registered accounts and 500 million monthly active users in 2024. Sub-Saharan Africa accounted for more than one billion registered accounts.
These figures demonstrate the scale of the opportunity, but registered accounts do not necessarily translate into active customers. Acquisition brings people to a platform; sustained usage depends on whether the product solves a recurring problem.
Customers need more than access to an application. They need reliable transactions, convenient payments, useful savings tools and services that respond to their financial needs.
This is where product marketing becomes strategic. By connecting product capabilities to customer needs, it helps businesses communicate value, reduce adoption barriers and encourage repeat usage.
AI must solve real customer problems
AI presents opportunities to improve customer experiences, strengthen fraud detection, support credit assessment and make financial services more responsive.
The OECD’s Africa Capital Markets Report 2025 examines AI’s potential to advance financial inclusion while highlighting challenges such as infrastructure limitations, skills shortages, data constraints and cybersecurity risks.
For fintech businesses, the implication is clear: AI adoption should begin with a defined problem and a measurable outcome.
First, more relevant customer experiences. With appropriate consent and data safeguards, behavioural insights can help fintech companies tailor communications to different customer needs. Someone who regularly pays bills may benefit from timely reminders, while a small business owner may value transaction summaries or cash-flow insights. The objective is not to send more messages. It is to make each interaction more useful.
Second, more responsive customer support. AI-assisted tools can help customers
navigate product features and resolve routine questions. However, automated systems should not become barriers to human assistance, particularly when customers report fraud, dispute transactions or encounter sensitive financial problems.
Third, better product decisions. Analytics and AI can help teams identify onboarding
friction, investigate usage patterns and test interventions designed to improve retention. These insights can inform product education, lifecycle communications and customer experience improvements. In each case, the technology should be evaluated against customer outcomes rather than its novelty.
The role of product marketing
A fintech product can be technically sophisticated and still struggle if customers do not understand its benefits, cannot complete onboarding or have little reason to return.
Product marketing should therefore extend beyond launch campaigns. It should inform how products are positioned, explained, adopted and improved throughout their lifecycle.
That process begins with customer research. What problem does the product solve? What prevents adoption? What concerns might discourage repeat usage? What would help customers recognise its value?
The answers should influence product design, messaging and onboarding. For example, a savings feature should explain how it works, what customers need to do and how it supports their financial goals. A merchant payment product should demonstrate how it fits into the realities of running a business.
AI can help teams identify patterns and deliver more relevant experiences, but it cannot compensate for confusing product design, unreliable transactions or an unclear value proposition. Sustainable growth requires collaboration between product, engineering, marketing, risk and customer service teams.
Measure meaningful growth
Impressions, clicks, downloads and registrations remain useful marketing indicators, but they do not establish whether a fintech product is delivering lasting value. Companies should connect acquisition metrics to meaningful customer behaviours. These include activation rates, time to first successful transaction, repeat usage, customer retention and the resolution of service issues. Where reliable data is available, businesses should also assess acquisition costs, customer lifetime value and commercial sustainability.
AI-assisted experimentation can help teams identify which onboarding experiences, product explanations or customer interventions improve these outcomes. However, results must be validated against reliable data rather than assumed from correlations. The central question is whether customers are receiving greater value and whether the business can sustain that value economically.
Financial inclusion requires responsible AI
AI-driven financial services also introduce risks. Incomplete or unrepresentative data can reinforce existing inequalities, particularly when models inform credit decisions or other consequential financial outcomes.
Personalisation can undermine trust if customers do not understand how their information is used. Automated systems may also disadvantage people with limited digital literacy, inconsistent connectivity or accessibility needs.
Fintech companies must establish appropriate data governance, security controls, human oversight and accessible complaint mechanisms. They should also test systems for bias and monitor outcomes across relevant customer groups.
These safeguards are not separate from growth. In financial services, trust is fundamental to the customer experience. People need confidence that their money and personal information will be handled responsibly. AI should make financial services easier to use without making decisions harder to understand or challenge.
Building the next phase of fintech growth
African fintech companies do not necessarily need sophisticated AI systems to begin improving customer outcomes. Some of the most valuable interventions may involve simplifying onboarding, clarifying fees, improving transaction reliability or communicating product benefits more effectively.
The starting point should be the customer problem, followed by the simplest effective solution. AI should be introduced when it offers a demonstrable advantage and can be deployed responsibly.
The industry’s opportunity lies in connecting technology investment to everyday financial needs. This requires better customer insight, measurable product outcomes and collaboration across business functions.
Africa’s fintech future will not be defined by app downloads alone. It will be shaped by companies that combine responsible AI, thoughtful product design and customer-centred marketing to build financial services that people understand, trust and use consistently.
About the author
Leah Ogunleye is a Senior Brand Manager and product marketing professional in Nigeria’s financial technology sector. Her work spans brand strategy, product marketing, integrated campaigns, customer acquisition and lifecycle marketing. She also contributes to digital skills development and initiatives supporting young people’s participation in technology.
References
- GSMA (2025), The State of the Industry Report on Mobile Money 2025. Read the report.
- OECD (2025), Africa Capital Markets Report 2025, Chapter 7: “Harnessing AI in
Finance for Financial Inclusion in Africa.” Read the chapter.