Learn which Amazon DSP reporting metrics matter most, how to interpret them, and how brands should think about performance by campaign role and funnel stage.
Quick answer: Amazon DSP gives advertisers a lot of data.
That is useful, but it can also create confusion.
The real challenge is not whether there are enough metrics. The challenge is knowing which metrics matter for the specific job each campaign is supposed to do.
That is why Amazon DSP reporting metrics should never be read in isolation. They should be read in context.
DSP campaigns can serve different roles across the funnel.
Some are built for prospecting. Some are built for retargeting. Some are built for awareness through video or streaming TV. If you evaluate all of them with the same reporting lens, the analysis will become less useful.
Amazon’s DSP reporting documentation includes a wide set of campaign metrics and dimensions, including conversion-source fields and numerous delivery and performance metrics. (advertising.amazon.com)
That makes it even more important to know which metrics deserve attention.
Amazon DSP reporting becomes useful only when the metrics are matched to the actual role of the campaign.
At a high level, DSP reporting usually includes groups such as:
The exact metrics available can vary based on format, report type, and campaign setup. (advertising.amazon.com)
Delivery metrics help answer whether the campaign is actually reaching people at the intended scale.
These often include metrics like:
These are useful for understanding whether the campaign is active, but they do not tell the full performance story on their own.
Engagement metrics help show whether the audience is interacting with the ad or responding to the message.
Depending on the report, these may include click-related or format-specific engagement indicators. Amazon’s reporting columns documentation also includes various calculated rates for different ad interactions. (advertising.amazon.com)
These metrics matter more when the format and objective make engagement a meaningful signal.
Conversion metrics help show whether the campaign is contributing to outcomes such as purchases or other desired actions.
Amazon’s reporting documentation includes conversion-related fields as well as attribution and conversion-source dimensions. (advertising.amazon.com)
The important thing is to interpret conversions in the context of campaign role. A retargeting campaign and a streaming TV campaign should not always be judged by the same conversion expectations.
Efficiency metrics help connect performance to cost.
These may include measures tied to spend and outcome relationships, depending on the report structure and campaign objective.
These metrics are useful, but they can also mislead if they are stripped from the wider campaign context.
| Metric group | What it helps show |
|---|---|
| Delivery metrics | Whether the campaign is reaching people and spending as intended. |
| Engagement metrics | Whether the audience is interacting with the ad or message. |
| Conversion metrics | Whether the campaign is contributing to outcomes such as purchases or other actions. |
| Efficiency metrics | How performance connects to spend and cost. |
| Audience and campaign dimensions | Which audiences, formats, or structures are driving the observed results. |
Prospecting campaigns are often better judged by reach quality, audience relevance, assisted impact, and how effectively they bring new people into the funnel.
Retargeting usually deserves tighter scrutiny on conversion efficiency, recency, audience quality, and waste control.
These campaigns often need a broader lens that includes delivery, reach, audience fit, and contribution to fuller-funnel goals, not just immediate lower-funnel actions.
Looking at every campaign the same way
Different campaign types have different jobs.
Overreacting to one metric
No single metric should drive the entire interpretation.
Ignoring campaign role
A metric can look weak in one context and reasonable in another.
Reporting without next-step logic
A useful report should help the team decide what to change next.
A stronger approach is to ask:
That is how reporting becomes useful instead of noisy.
Amazon DSP reporting metrics matter most when they are tied to campaign role, funnel stage, and decision-making. Good reporting is not about collecting every available number. It is about using the right metrics to understand what is happening and what should happen next. (advertising.amazon.com)
The best Amazon DSP reporting is not the most detailed report. It is the report that makes the next decision clearer.
They are the delivery, engagement, conversion, and efficiency metrics used to evaluate campaign performance in Amazon DSP. (advertising.amazon.com)
That depends on campaign role. Prospecting, retargeting, and awareness campaigns should not always be judged by the same metrics.
Not always. The metrics and dimensions available can vary by report type, campaign setup, and format. (advertising.amazon.com)
They should use them to evaluate campaign role, spot inefficiency, and guide the next round of optimization decisions.
Other posts in the same category, if this one was useful.
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Learn what Amazon DSP prospecting is, how it works, and why brands use it to reach new audiences, support awareness, and drive fuller-funnel growth.
Learn the main Amazon DSP requirements, including who can use it, service model options, creative readiness, audience planning, and campaign setup considerations.
