Average order value falls as orders outpace revenue in Brazil
Brazilian e-commerce sold more than R$200 billion in the first half of 2026, up 16.9% year over year, according to a survey from Confi and Neotrust run in partnership with E-Commerce Brasil. The detail that matters more than the headline growth number: orders grew roughly twice as fast as revenue, and average order value fell 13.3% [1].
That combination changes what the growth number actually means. Revenue is still climbing, but a larger share of it now comes from smaller transactions. The same survey found items per order dropped from 2.25 to 1.97, a decline close in proportion to the ticket drop itself [1].
That detail rules out one easy explanation: shoppers aren't necessarily trading down to cheaper products. They're buying less per visit and, most likely, visiting more often. The survey doesn't track individual shoppers across the half-year, so it can't confirm repeat-purchase rates directly. The math is the only evidence for that reading [1].
The cost of serving a smaller basket doesn't shrink with it
A one-item order moves through the same operational steps as a three-item order: payment processing, picking, packing, dispatch, and eventually customer service or a return. Most of that cost scales with the number of orders, not their value, so it weighs more heavily as the average basket shrinks [1].
“While omnichannel continues to offer added convenience for consumers, profitability remains a challenge for grocery retailers.”
That dynamic is not unique to Brazil. McKinsey's research on omnichannel grocery fulfillment found that delivery costs and store-picking or other operational costs can each range widely as a share of sales, together consuming a sizable slice of every transaction regardless of its size [4].
The result is that an operation can grow in both revenue and order volume while losing margin, if its cost-to-serve model is still sized for the basket it used to get. That erosion can hide behind rising top-line figures for several reporting cycles before it surfaces in consolidated results [1].
| Cost component (omnichannel grocery) | Share of sales |
|---|---|
| Delivery | 10-13% [4] |
| Store picking and other operations | 11-14% [4] |
Why the free-shipping math breaks first
Free shipping thresholds, delivery consolidation, and cart-level upsells are the first places this math shows up, because they are set once and then rarely revisited as basket size shifts underneath them. A minimum-order value, a bundled-delivery window, or a suggested add-on at checkout are technical, backend decisions, made far from the marketing team that owns conversion [1].
McKinsey's 2026 survey of North American grocers found retailers converging on the same small set of fixes: reducing last-mile costs (52% rank it the most critical lever for e-commerce profitability over the next two to three years) and growing basket size (45%) [3].
Two other levers followed closely: adjusting delivery fees and order minimums (38%) and automating fulfillment (38%) [3]. None of those levers work from the storefront alone. They require matching checkout rules, delivery promises, and fulfillment capacity to the order profile the business actually has.
Can order frequency rise without basket size falling?
Not necessarily. US online grocery data shows the two metrics can move together instead of trading off. Digital Commerce 360 reported that orders per monthly active shopper rose for 13 consecutive months through September 2025, with Brick Meets Click attributing the growth to a record number of active users, sustained frequency gains, and increases in average order value, all in the same period [2].
That contrasts with the same market's 2024 pattern, when falling average order value, not frequency, was the primary drag on monthly online grocery sales [2]. The difference between the two periods isn't the consumer behavior itself. It's whether the retailer's merchandising, loyalty, and fulfillment design captured more value from each additional visit, or simply absorbed more orders at a flatter margin.
What changes in the operating model
Separating valuable recurrence from costly recurrence requires data most operations already collect but rarely cross-reference: repurchase intervals, categories bought together, preferred channels, and the cost to serve each customer segment. Without that view, every campaign that drives a customer back to the site looks like a win, even when it isn't [1].
McKinsey's broader e-commerce profitability research frames the fix as four imperatives: align the organization around a single cost-to-serve view, extract more value from fixed fulfillment assets, reduce operating costs without degrading the customer experience, and treat basket-building (outfit recommendations, in-cart add-ons) as a margin lever, not just a conversion tactic [5].
The same research notes that categories with higher item value and basket size naturally absorb shipping cost better as a percentage of sales, while a retailer with a low free-shipping threshold risks subsidizing a large volume of negative-margin orders [5].
For operators watching order counts climb faster than revenue, the practical shift is to stop treating order volume and revenue growth as proof points on their own. The number that increasingly decides whether that growth is healthy is the contribution margin on the order sitting in the cart right now.
Sources
- [1]E-Commerce Brasil, Mais pedidos, tíquetes menores: a nova matemática do e-commerce — ecommercebrasil.com.br
- [2]Digital Commerce 360, September online grocery sales eclipse August's newly set record — digitalcommerce360.com
- [3]McKinsey & Company, The State of Grocery North America 2026 — mckinsey.com
- [4]McKinsey & Company, Creating a competitive edge in omnichannel grocery fulfillment — mckinsey.com
- [5]McKinsey & Company, A path toward healthy, sustainable growth in e-commerce — mckinsey.com
