As digital credit expands rapidly in East Africa and elsewhere, offering credit responsibly is becoming increasingly important. These insights from Kenyan merchants who use Kopo Kopo’s Grow cash advance product point toward some best practices for digital merchant credit.
There are now more than 20 digital credit offerings in Kenya, with new services launching continually. Hype is building around the potential opportunities these products could bring, but their rapid proliferation is also raising questions about risks.
Mobile money in Bangladesh had a fast start. However, recent data show that while use is still increasing, the rate of growth in transaction value and volume is tapering off. Researchers analyzed a number of possible explanations for this trend.
Kopo Kopo enables more than 10,000 merchants to accept mobile payments from their customers. As Kopo Kopo considers consumer protection risk areas, they identified key concerns and questions in each which they are working on addressing.
After experimenting with SMS messages with Tanzanian microfinance loan applicants, First Access determined that customers can learn a lot about data and their privacy from simple forms of communication.
In recent years, Safaricom has launched a number of value-added services through its M-PESA product in Kenya, aiming to move its customer base beyond basic money transfers. M-Shwari is by far the most popular of the offerings.
The second post in our series described the importance of demand-side data for understanding consumers and their financial habits and needs. Various organizations are contributing to the global pool of demand-side data in branchless banking and in this post we’ll focus on two of the main sources. The Financial Inclusion Tracking Surveys (FITS) are annual household panel surveys in Uganda, Tanzania, and Pakistan while the Tanzania Mobile Money Tracker Study (TMMT) uses quarterly surveys to track market trends. Both are being carried out by InterMedia and the Bill & Melinda Gates Foundation. In this post, we’ll highlight some of the analysis on rural and urban households to demonstrate the actionable insights that can be gathered from such datasets.