Selling on Amazon and Your Own Store: The Attribution Blind Spot
Your ads sell on Amazon and your store, but each only sees half the picture. That gap is where budget leaks.
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By Joris van Huët, Founder & CEOUpdated 2 min read
Two Storefronts, One Confused Ledger
When you sell on both a marketplace and your own store, an ad can drive a sale on the surface it does not report, so each channel undercounts or overcounts and the true picture falls into the gap. That blind spot is expensive and quiet.
A shopper sees your ad, then buys on Amazon because they trust the checkout, or the reverse. Your own-store attribution never sees the marketplace order. The marketplace never sees the ad. Each system is honest and each is half-blind.
Why Blended Metrics Miss It
Brands paper over this with blended reporting, but blended numbers hide exactly the interaction that matters: cross-surface sales caused by a channel that neither surface credits. It is a bigger version of the disagreement we unpack in Meta ROAS versus Shopify revenue, except now a whole storefront is off the books.
The danger is scaling a channel that looks weak on-site while it quietly drives marketplace orders, or killing one that looks strong on-site while it cannibalizes sales you already had.
Measure Total Incremental Revenue, Not Per-Surface Credit
The way out is to stop asking each storefront to grade the ads and instead measure total incremental revenue across both.
You cannot allocate budget well across two storefronts while each one is looking at half the field.
Frequently asked questions
Why is attribution harder when selling on both Amazon and your own store?
When you sell on both a marketplace and your own store, an ad can drive a sale on the surface it does not report, so each channel undercounts or overcounts and the true picture falls into the gap.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- IncrementalityIncrementality is the part of an outcome, such as orders or revenue, that a marketing activity caused: the extra results compared with what would have happened without it. It is a causal effect, not the number of conversions credited to a channel.
- MetricsMetrics are quantifiable measures that track and assess business process status. They evaluate campaign performance and inform attribution analysis.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.
- ShopifyShopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.