Average order value is the metric that separates merchants who grow from those who spin their wheels. Every rand already spent on customer acquisition — whether through Meta ads, Google Shopping, or a promotions catalogue — is wasted if the shopper adds one item to their cart and stops. BNPL is one of the most reliably effective tools for lifting AOV, but it works for specific reasons that are worth understanding before you onboard it.
Why Split Payments Move the AOV Needle
The mechanism is not mysterious. When a shopper is deciding whether to buy a R1,200 jacket, the mental arithmetic is about today's cash flow, not total cost. Framing that R1,200 as four payments of R300 each does not change what the shopper ultimately pays — but it fundamentally changes the perceived outlay at the moment of decision. Behavioural economics calls this "payment decoupling." The purchase pain is spread across time, which lowers the psychological friction at checkout.
That shift in framing produces observable behaviour changes. Shoppers who might have bought one item will add a second. Shoppers who would have dropped an item for a cheaper alternative will stick with their preferred choice. And shoppers who were close to the boundary of what they considered affordable will push through to purchase.
In practice, the AOV lift for BNPL-enabled merchants in the South African market tends to fall in the 25–45% range, with the higher end concentrated in fashion, footwear, and home goods — categories where individual items are aspirational purchases rather than pure utility items.
The Data Pattern: Basket Composition Shifts, Not Just Size
It is tempting to think about AOV lift as simply "customers buy more items." That is sometimes true, but the more consistent pattern is that the composition of the basket changes. Consider a Cape Town footwear retailer running a mid-priced product range from R600 to R2,200. Before adding BNPL, the data shows most transactions clustering in the R600–R900 range, with the R1,500+ items having much longer dwell times and higher abandonment. After enabling split payments, the share of transactions in the R1,200–R2,200 range increases meaningfully — not because customers are buying more pairs, but because they are willing to buy up to the items they actually prefer rather than compromising on price.
This is the basket trade-up effect, and it is arguably more sustainable than simple volume increases. A shopper who was forced by budget constraints to buy their second-choice item is more likely to return when they have more cash available — and to return with BNPL as the payment method that lets them choose what they actually want.
Placement Matters More Than Most Merchants Realise
Simply adding BNPL as a checkout option is necessary but insufficient to maximise the AOV effect. The psychological benefit of split-payment framing needs to be visible earlier in the shopper's journey — ideally on the product page, at the point where they are making the decision to add to cart.
Best practice for SA e-commerce merchants is to display the per-instalment amount on the product detail page (PDP) alongside the full price. Something as simple as "or 4 × R300 with FloatPay — no interest" immediately reframes the purchase decision. Waiting until the checkout page to introduce this option means you have already lost the shoppers who abandoned before reaching checkout because the full price felt out of reach.
For brick-and-mortar or omnichannel retailers, the same principle applies at the physical till. Merchants who train frontline staff to proactively mention split payment during the product selection stage — not just when the shopper is about to pay — see better conversion on higher-value items.
Settlement and Cash Flow: The Merchant-Side Equation
Merchants sometimes hesitate on BNPL because they are uncertain about the settlement timeline. The critical point to understand: with a properly structured BNPL product, the merchant receives the full purchase amount from the BNPL provider — not just the first instalment. The provider carries the repayment risk entirely.
This means a merchant selling a R2,400 jacket through FloatPay receives approximately R2,280 (after the 5.5% MDR on Starter tier) in their settlement, typically within one to two business days, regardless of whether the shopper pays all four of their instalments on time. The credit risk lives with the BNPL provider. The merchant gets clean, predictable revenue.
We are not saying the MDR cost is zero — a 5–6% merchant fee is real and should be factored into margin calculations. We are saying the settlement certainty and the absence of chargeback risk from the consumer side changes the risk-adjusted return on BNPL transactions. For higher-value items particularly, the combination of AOV lift and settlement certainty tends to make BNPL the highest-margin channel on a per-transaction basis.
Repeat Purchase Rate: The Second-Order Effect
AOV is important, but repeat purchase rate is the multiplier on customer lifetime value. The evidence from merchant data in South Africa and comparable markets is consistent: BNPL shoppers return at a higher rate than single-transaction buyers. Part of this is selection bias — shoppers who adopt a new payment method tend to be more engaged. But part of it is the product experience itself. If a shopper has a smooth, no-surprise BNPL experience on their first purchase, that payment method becomes their preferred option for future purchases with that merchant.
The implication for merchant growth strategy: BNPL is not just a single-transaction AOV tool. It is a customer relationship feature. Merchants who treat it as such — promoting it in loyalty communications, reminding existing customers that split payment is available for new-season arrivals — see compounding repeat-purchase effects over time.
Where the AOV Lift Is Smaller (and Why)
To be complete: BNPL has a smaller AOV effect in categories with very low average transaction values. A grocery merchant with an average basket of R180 will not see meaningful AOV lift from BNPL — the per-instalment amount is too small to change purchase behaviour. Similarly, utility-driven purchases where the consumer knows exactly what they need and needs exactly that item are less susceptible to the trade-up effect.
The sweet spot for BNPL AOV lift is aspirational-adjacent categories with average transactions in the R500–R5,000 range: fashion, footwear, electronics, appliances, home décor, sports equipment, beauty and wellness. If your merchant category is outside this range, the AOV case is weaker — and it is worth being honest about that rather than projecting headline BNPL statistics onto every retail context.
Ready to see the numbers for your own product category? Talk to the FloatPay merchant team about what to expect in your vertical.