View-Through Conversions: What They Prove and What They Do Not

What the metric actually measures

View-through conversion counts a sale when a shopper viewed — but didn't click — an ad, and then purchased within the eligible window. Amazon requires the view to meet Media Rating Council viewability standards: at least 50% of pixels in view for a minimum of one second for display ads and two seconds for video. That's a real, meaningful bar for what counts as "seen" — a banner that scrolled past off-screen doesn't qualify — but meeting the viewability bar still only proves the ad was genuinely visible, not that it changed anything about the shopper's decision.

It exists because a large share of upper-funnel ad exposure, by design, doesn't produce a click at all. Video and display ads are built to be seen, not tapped, and a channel judged purely on click-based attribution will look artificially weak simply because clicking was never the expected interaction. View-through attribution is the platform's way of giving that exposure some credit — the question this page is about is how much confidence that credit deserves.

The January 2026 change, and why Amazon made it

Effective January 1, 2026, Amazon made a shopping-signal enhanced last-touch model the standard basis for view-credited conversions, in place of the blanket 14-day view window, for Sponsored Brands and Sponsored Display campaigns billed on a viewable-impression (vCPM) basis, and for Amazon DSP's in-store placements. The new model evaluates whether a given ad view actually influenced the purchase, using Amazon's own shopper behaviour signals, rather than crediting anyone who saw an ad and bought within two weeks regardless of relevance. Click-based attribution is explicitly unchanged. Advertisers can still access the old-style figure — "purchases, all views" — as a separate 14-day metric inside unified reporting, but it's no longer the headline number.

Worth being precise about scope: Amazon's own update page names the change as applying to those specific vCPM campaign types and DSP's in-store placements. It doesn't name offsite DSP inventory — display and video served on third-party sites and apps — as affected, so that inventory continues to be measured under the standard click and view structure most DSP reporting already uses.

Why the old blind 14-day window was worth fixing

A blanket 14-day view window credits every purchase within that window to the ad, regardless of whether the shopper would have bought anyway. A regular Amazon customer who reorders a household staple every two weeks, and happens to see a display ad for it during that window purely because they browse Amazon often, would count as a view-through conversion even though the ad changed nothing about a purchase that was already going to happen on schedule. That's the specific failure mode the shopping-signal enhanced model is designed to reduce — crediting views that reach shoppers during early discovery, rather than every view that merely preceded a purchase within a fixed window Amazon has not published a new length for.

What view-through conversions still can't prove, even improved

Even a smarter, signal-weighted view-attribution model is still fundamentally answering "did this view precede a purchase in a way our model considers plausible," not "would this purchase not have happened without the ad." That second, causal question is what a holdout test or geo-lift study answers, and no attribution model — however sophisticated its judgment of relevance — replaces that test. Treat an improved view-through number as a better-filtered signal, not a proof of incrementality.

The common mistake, including ours

The mistake is reporting a view-through conversion count as if it were equivalent to a click-based sale in strength of evidence, when the two answer different-confidence questions. We've built client summaries in the past that blended click-attributed and view-through-attributed purchases into a single "attributed sales" figure without separating the two, which flattered accounts running heavy view-based DSP or Sponsored Brands vCPM inventory. We now report the two separately, and flag view-through figures with the specific window and model version behind them, particularly given how recently the underlying methodology changed.

How this connects to what runs off-Amazon

The distinction matters most for exactly the inventory where a click is rarest by design — streaming and connected TV. In our own DSP practice, we set streaming a return target near 1.0 and judge it on video completion rate and branded-search lift rather than attributed ROAS alone, because attribution structurally undercounts it: shoppable features generally only fire for logged-in Prime members, so a meaningful share of streaming-driven demand arrives at Amazon unattributed altogether, view-through or otherwise. A tighter, more relevance-aware view-attribution model helps at the margin, but it doesn't solve the deeper measurement gap for inventory this far upper-funnel — which is why we treat streaming's attributed numbers as a partial read, never the full picture.

What to do when your view-through numbers shift after January 2026

If your Sponsored Brands, Sponsored Display or DSP in-store view-through conversions dropped noticeably after the January 2026 change, that's expected — the new model is deliberately more conservative about which views it credits, and a drop in the headline number doesn't necessarily mean the underlying ad exposure changed at all. Before reacting, pull the "all views" 14-day metric alongside the new shopping-signal-enhanced figure for the same period, to separate a genuine performance change from a reporting-methodology change. If the gap between the two is large, that gap itself is informative about how much of your prior view-through reporting was crediting views that likely weren't influencing anything.