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 reliable 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: