Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →rampstackco/ads-performance-analytics
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons.
Passed 19 of 22 test cases with the skill, and 16 of 22 without it.
and 1 more in the full report
3 fixed16 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are a seed-stage startup spending $5,000 a month across Meta and Google Search with 45 conversions per month total. Our growth marketer wants to implement custom time-decay multi-touch attribution or a complex multi-touch algorithmic model. Which attribution model framework is recommended for our current business stage?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends last-click attribution combined with a warehouse guardrail metric. | Missed | Passed |
The instructions your model reads when the skill loads.
A data-team-mentor's playbook for interpreting paid media dashboards without fooling yourself.
The dashboard is the moment of truth for paid media decisions. The numbers on it determine whether you scale, hold, or kill. They also expose every platform's self-attribution bias, every modeled-conversion shortcut, every cross-platform double-count. Most "scale this campaign" decisions trace back to misreading the dashboard.
This skill is the discipline that prevents misreading. It assumes the campaign was strategically sound (see paid-media-strategy). It assumes the creative was tested properly (see ads-creative-development). The hard part is knowing what each number actually means, what it does not, and how to reconcile platform-reported metrics with the truth in your warehouse.
When to use this skill: any time you are about to scale, kill, or rebudget a campaign based on platform metrics; reconciling platform reports with revenue data; evaluating an agency's reporting; or building a paid media dashboard that will not lie to you.
This skill spans paid media result interpretation. It does not cover paid media strategy (use paid-media-strategy), creative production (use ads-creative-development), or platform-specific tooling (covered in the integrations microsites). Pair this skill with the relevant integrations microsite for platform-specific MCP commands and example prompts.
The audience is a marketer, growth analyst, agency analyst, or founder evaluating paid media reports. The voice is patient and clinical. There is no "trust the platform's number" or "ignore the platform entirely." Both are wrong. The discipline is knowing which numbers from which platform mean what, and what to reconcile against to make the actual decision.
A trustworthy result panel exposes nine things. Anything missing is a signal to treat reported numbers with extra skepticism.
Platforms hide what makes their reporting look weakest. Google PMax hides keyword-level and placement-level data. Meta hides the modeled-conversion share. LinkedIn hides cross-device click paths. Treat hidden metrics as the place to dig.
test cases passed, vs 16 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.