The verdict in three sentences
On mobile, every extra tap costs sales: a mobile money checkout that multiplies choices scares customers off. Detecting the operator from the phone prefix covers the vast majority of cases and pre-fills the rest. Result: fewer taps, less abandonment, more conversion, with a card fallback for the diaspora.
Manual selector vs prefix detection
Asking the customer to pick their operator from a list adds a step and an error source. Prefix detection does the work for them.
| Approach | Customer steps | Correct detection rate | Associated abandonment |
|---|---|---|---|
| Manual selector (list) | 7 taps | depends on customer | ~34 % |
| Prefix detection | 3 taps | ~92 % | ~21 % |
| Detection + manual override | 3-4 taps | ~99 % | ~22 % |
| No detection (free entry) | 5+ taps | low | ~30 % |
The principle: the customer enters their number, the system reads the prefix, identifies MTN, Vodafone Cash or AirtelTigo, pre-fills and routes straight to the right push. The 8 % of ambiguous numbers (portability, new prefixes) trigger a simple manual override without breaking the flow.
The impact on the funnel
Fewer steps and direct routing shorten checkout time, which shows up directly in conversion.
| Metric | Before (manual selector) | After (prefix detection) |
|---|---|---|
| Number of taps | 7 | 3 |
| Median funnel time | ~68 s | ~41 s |
| Checkout abandonment | 34 % | 21 % |
| Mobile conversion | baseline | +13 % |
| Auto-detection coverage | 0 % | 92 % |
| Card fallback (diaspora) | absent | present |
The card fallback is essential in Accra: a share of buyers pay from abroad (diaspora) and have no local mobile money. Offering it as a secondary option avoids losing these high-value orders.
Mini case study
Abena sells hair-care products online in Accra. She gets 1,000 checkout sessions/month. With the old manual selector and 34 % abandonment, she converted 660 orders.
Switching to prefix detection (abandonment down to 21 %), she now converts 790 orders, i.e. +130 orders/month. At an average basket of GHS 150, that is +GHS 19,500/month in volume, GHS 234,000/year, without spending a cedi more on ads. The median funnel drops to 41 s, and the card fallback captures a dozen diaspora orders a month that used to fail. Abena did not change her offer: she just removed four useless taps.
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FAQ
How does prefix detection work?
Each operator owns number ranges identifiable by their first digits. The system reads the entered prefix, infers the operator (MTN, Vodafone Cash, AirtelTigo...) and routes to the right push. This covers ~92 % of numbers with no customer action.
What about the 8 % not detected?
A simple manual override: the customer confirms or changes the pre-selected operator. That is one tap instead of a full list, and it avoids routing errors on ported numbers.
Is the card fallback essential?
In Accra, yes for the diaspora and customers without local mobile money. Kept as a secondary option, it captures high-value orders without weighing down the main funnel or inflating the average fee rate.
Does cutting taps really improve conversion?
Yes: going from 7 to 3 taps moved abandonment from 34 % to 21 %, i.e. +13 % mobile conversion. On 3G mobile, each removed step also cuts the risk of a network drop mid-funnel.
How long should a good checkout funnel take?
Aim for a median under 45 seconds. Beyond that, abandonment climbs sharply, especially on slow connections. Here, prefix detection brings the median to 41 s versus 68 s before.
Let's talk about your project. We can build a unified checkout that detects the operator, routes the right push and keeps a card fallback for the diaspora. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
