Best for
- Teams spending on LinkedIn Ads or Google Ads without a clear testing system
- Demand gen managers preparing postmortems for leadership
- Lean teams that need to decide what to test next
Analyze paid campaign performance, extract failed and winning hypotheses, and create a practical testing roadmap for the next budget cycle.
Create a campaign postmortem, hypothesis log, and prioritized next-test roadmap for paid media.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
6 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
Paid media reviews often stop at surface metrics: CTR, CPL, and conversion rate. That misses the bigger question: which campaign hypothesis was proven, disproven, or left unanswered? This workflow forces every campaign review to produce a next-test roadmap, so the team compounds learning instead of restarting from scratch.
Expected results
Tests planned
10 prioritized tests
A 10-test roadmap is enough to give the next budget cycle structure without creating an unmanageable experimentation backlog.
Review time saved
6-10 hours per cycle
AI-assisted synthesis reduces manual spreadsheet review, slide creation, and postmortem drafting.
Budget discipline
Approved stop conditions
Every test includes a clear success metric and stop condition, reducing wasted spend on ambiguous underperformers.
Learning quality
Hypothesis-based review
The workflow captures what was learned, not just what happened, which improves future campaign decisions.
Step-by-step workflow
The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
1 hour
1 hour
Export campaign data from LinkedIn Ads, Google Ads, GA4, and HockeyStack. Capture spend, impressions, CTR, CPC, CPL, conversion rate, account quality, stage progression, landing page conversion, and pipeline influenced. Add screenshots of top ads and landing page variants so the review includes creative context, not only numbers.
A campaign evidence pack with performance, pipeline, and creative context.
Do not average everything together. Split by audience, offer, creative theme, and landing page whenever possible.
30 min
30 min
Before analyzing performance, document what the team believed would happen. Example: 'Ops leaders will convert on cost-control messaging' or 'comparison search traffic will produce higher-intent leads.' This prevents hindsight bias and gives Claude clear hypotheses to judge against actual results.
A list of original campaign hypotheses and success criteria.
If the team never wrote hypotheses before launch, reconstruct them honestly from the campaign brief and ad copy.
Pro workflow preview
Previewing 2 of 7 steps
Get the remaining 5 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
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