You have several campaigns running in Amazon Ads — Sponsored Products, maybe Sponsored Brands, Display or even DSP — and yet at the end your reporting still only says: “This campaign generated X in revenue.” What you don’t see: how your customers really arrived at the purchase, how many ad exposures they needed to get there and which formats worked together along the way. This is exactly the gap the Amazon Marketing Cloud (AMC) closes.
In this article we explain two of the most important AMC analyses — Path to Conversion and Time to Conversion — in plain terms. And we show why these analyses almost always lead to the same conclusion: for a clean, meaningful setup you usually need all ad formats working together, not just one.
AMC is Amazon’s privacy-safe “Clean Room”: a protected analytics space where anonymised, event-level signals from your Amazon Ads campaigns come together. Instead of ready-made, aggregated reports, you work here at the level of individual events — every impression, every click and every purchase is a row, analysed via SQL query. Personal data is pseudonymised in the process; you see patterns, not individual people. (Amazon Ads)
Important for smaller brands: since 2024 AMC has also been open to advertisers who run Sponsored Ads only — so you don’t necessarily need Amazon DSP to get started. (Amazon Ads) For the most common analyses, Amazon provides ready-made templates in the Instructional Query Library — including exactly the two analyses we’re looking at here. (Amazon Ads)
In short: AMC answers questions the standard reports can’t — such as “Which ad exposures did a buyer have beforehand?” or “How many formats were involved in a sale?” It doesn’t replace your campaigns, it makes their interplay measurable.
The Path to Conversion analysis (also called “Path to Purchase”) shows the sequence of ad exposures a customer had before they bought. It answers questions such as: How many touchpoints were needed before the order? Which formats appear in the highest-converting paths? And which format typically opens the customer journey? (Adbrew)
A customer rarely sees a single ad and buys. More often they first see a broadly served Display or DSP ad, later a brand ad, then at some point click on a Sponsored Product in search — and order. Path to Conversion makes exactly this sequence visible:
The Time to Conversion analysis measures the time span between ad exposure and purchase — broken down by seconds, minutes, hours and days. It shows you how long your customers’ “consideration window” actually is. (Adbrew)
This is strongly product-dependent: for cheap everyday products (e.g. consumables) the decision is often made within one to three days. For more expensive products or ones that need explaining, the journey stretches over weeks. (Intentwise)
Path to Conversion answers the “what in which order”, Time to Conversion the “how fast”. Together they give a realistic picture of the customer journey — and both need several formats to show anything interesting at all.
This is where both analyses come together. Purchase decisions rarely arise from a single ad exposure — and that’s exactly what the paths make visible. The different Amazon ad formats serve different phases of the journey:
Reaches new audiences that aren’t yet ready to buy — including off Amazon. Often opens the journey.
Brings interested shoppers back and keeps your brand present while the customer is still deliberating.
Shows your brand world and several products — builds trust before the purchase decision is made.
Captures purchase-near search intent and often closes the journey.
If one of these formats is missing, a part of the real journey is missing from your AMC analysis — and the evaluation becomes skewed. Even more critical: the standard reports in Amazon Ads usually attribute a sale to the last click. A Sponsored Product thus gets the full credit, even though DSP and Sponsored Display are what first brought the customer in. Anyone who only looks at these numbers reflexively cuts exactly the upper formats — and then wonders why demand collapses.
Don’t judge any format in isolation. Sponsored Display or DSP often look “expensive” in the last-click report because their contribution happens early in the journey and isn’t credited to the last click. Only the AMC path analysis reveals their true value — and prevents you from cutting a format that makes the other formats possible in the first place.
Amazon itself argues in this direction: Full-Funnel campaigns that serve awareness, consideration and purchase together usually perform better than individual, isolated campaigns. (Amazon Ads) And another point that’s often underestimated: AMC helps to clean up double-counting between formats — a purchase that several campaigns would otherwise credit to themselves at the same time is cleanly attributed to one path. (Amazon Ads)
AMC isn’t a self-runner — the value comes from the right question, the clean query and the implementation in the account. Our process:
We make sure all relevant formats (Sponsored Ads and — if present — DSP) feed into AMC. Without complete signals there’s no reliable path analysis.
We start with the appropriate Instructional Queries and adapt them to your category, your range and your consideration window.
We shift budget to where it truly makes an impact in the paths — and justify every change with data rather than gut feeling.
From Time to Conversion we derive sensible time windows — especially around launches, Prime Day and the season.
Want to know how your customers really arrive at the purchase — and whether your budget sits in the right formats? Request a free callback below. We’ll take an honest look at your setup and tell you whether AMC is the next sensible step for you.
As of: August 2026. Amazon is continually developing AMC and the ad formats — check the original sources for the latest information.
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