AdFixer
Solutions · Measurement & reporting

Amazon DSP reports
built around decisions.

Most DSP accounts have plenty of data. The problem is that the data is hard to interpret, disconnected from decisions, or organized around the wrong questions.

Funnel-aware reportingAudience-level clarityDecisions, not recaps
The goal

What DSP measurement
should do.

Amazon DSP reporting should explain what happened, why, what matters most, and what to change next. Anything less is a recap.

FRAMEWORK

Reporting as a planning tool.

A useful measurement framework treats data as a planning tool, not a recap of last month. Every chart maps to a decision and every metric maps to a campaign role, audience, or funnel stage.

When the framework is in place, the team spends time interpreting and acting rather than rebuilding views every cycle.

WHAT IT ENABLES5 outcomes

What a useful framework lets you do.

  • Read campaign role by funnel stage
    Know whether a campaign is prospecting, retargeting, or awareness, and judge it against the right benchmarks.
  • Compare audience groups
    See which audiences are performing, where efficiency is dropping, and where to move budget.
  • Spot inefficient spend early
    Catch frequency issues, stale audiences, and weak segments before they compound.
  • Evaluate creative in context
    Read message and format performance against campaign role and audience type.
  • Move from data to action
    Translate reporting into specific budget, structure, and testing decisions.
The difference

Common problems vs. better reporting.

Most reporting issues are about structure, interpretation, and the link to decisions, not missing data.

Common problems

Reports that summarize but rarely recommend.

Too much activity, not enough interpretation

Reports often summarize spend, impressions, and high-level performance without explaining what to change. Data with no context is noise.

Prospecting and retargeting measured the same way

Different campaign types do different jobs. When the reporting framework ignores that, analysis loses meaning and budget calls go sideways.

No audience-level clarity

When audience performance is buried, targeting and budget allocation get harder to improve. Audience-level visibility is required for real optimization.

Weak connection to business decisions

Reporting should drive choices around budget, creative, structure, and testing. If it does not point to the next decision, it is not doing enough.

Better reporting

Context tied to next actions.

Campaigns grouped by role

Campaigns organized by function: prospecting, retargeting, or awareness. Performance is then read in the right context.

Audience-level visibility

Clear performance breakdowns by audience segment so targeting and budget decisions are informed rather than guessed.

Trend analysis, not just snapshots

Performance over time, not a single period. Trends show momentum, regression, and the impact of changes made.

Metrics with interpretive context

Numbers presented alongside the context needed to read them: campaign role, audience type, funnel stage, and external factors.

Commentary on what changed

Explanation of what shifted and why, whether the change came from strategy, external conditions, or normal variance.

Recommended next actions

A short list of what to do next: budget shifts, audience changes, creative tests, structural adjustments, tied to the data.

Our approach

How AdFixer approaches
DSP measurement.

We make DSP performance easier to read and act on. Reporting works as a planning tool, not a monthly recap.

WHERE WE FOCUS

Six places we tighten the framework.

  • Reporting structured around campaign role
  • Success criteria defined per objective
  • Audience performance made easier to compare
  • Focus on the few metrics that matter most
  • Reporting used as a planning tool
  • Data tied directly to next actions
FEEDBACK LOOP5 stages

The reporting loop.

  1. 01
    Strategy
    Goals and campaign roles define what success means for the account.
  2. 02
    Execution
    Campaigns run with the structure measurement needs to stay clean.
  3. 03
    Reporting
    Data is organized by role, audience, and trend, not by totals.
  4. 04
    Interpretation
    Commentary explains what changed, why, and what it means.
  5. 05
    Optimization
    Next actions are tied directly to the data and the business goals.
Get started

Ready for better DSP reporting?

Talk to our team about a measurement framework that turns Amazon DSP data into clear decisions and specific next steps.

Frequently asked
questions.

Common questions about Amazon DSP measurement and reporting.

Amazon DSP reporting analyzes campaign, audience, delivery, and performance data to show what is happening in the account and what to do about it. Good reporting goes past metric summaries and points to specific decisions.