How Much Does Your Competitor Make? How to Estimate an E-commerce’s Revenue (with 2026 Benchmarks)

Every e-commerce team has asked the question while looking at a competitor’s site: how much do they actually make? The exact answer is in their books — which you don’t have. But the good news is that online store revenue is not a black box: it’s the product of three public or estimable variables, and with real benchmarks from Brazilian retail you can reach a range reliable enough to guide a decision.

Variable 1: traffic (and why it’s the biggest risk)

The number of visits is, at the same time, the most important and the most uncertain input. Market intelligence tools — SimilarWeb, Semrush and Ahrefs — estimate the monthly traffic of any domain from behavior panels, clickstream data and modeling. Accuracy is reasonable for mid-size and large sites, and drops sharply for small stores (below ~50,000 visits/month), where the sample gets thin.

Variable 2: conversion (here the Brazilian data helps a lot)

Conversion is where most people get it wrong, because they guess a generic market average (“around 2%”). But the rate varies enormously by category: what converts in food has nothing to do with electronics. The most robust benchmark in Brazilian retail today comes from Prax Analytics, which measured the median session→order conversion of more than 1,000 stores with at least R$ 50k/month in revenue.

Variable 3: average order value

The order value closes the math. In aggregate, Brazilian e-commerce operated with an average order value of around R$ 537 in 2025, but that number is pulled up by expensive categories; fashion, books and beauty sit well below, electronics and home well above. Use the category’s typical order value as a starting point and adjust for the competitor’s positioning (a premium store has a higher order value than an entry-level one).

Paid traffic changes the reading

Before you close the math, look at where the competitor’s traffic comes from. A store that depends on paid traffic to grow has a different dynamic from one that lives on organic search and brand: paid inflates visits, but tends to convert unevenly and costs margin. In Brazilian e-commerce, organic and paid search already account for nearly half of all entries, with direct (brand) traffic still being the largest slice.

Putting it all together: from guess to range

The difference between an amateur estimate and a useful one isn’t about finding “the number” — it’s about building a range and triangulating with other signals. See the contrast: