campaign-review

Solid

Use when a completed or in-flight marketing campaign needs an evidence-backed review of its goal, baseline, targets, actuals, or learnings.

AI & Automation 476 stars 127 forks Updated yesterday NOASSERTION

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Quality Score: 83/100

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100
Frontmatter 20%
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Documentation 15%
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- Generated from `.claude/skills/_available/marketing/campaign-review/SKILL.md` by `scripts/generate-agents-skills.py`. Do not edit. --> # Campaign review ## When to use Use this skill for a named campaign with a stated measurement window and enough source material to compare intended outcomes with observed results. It supports a partial review when some results are pending, as long as the gaps remain visible. Do not use it to optimize a live campaign, change spend, alter targeting, or declare causation from a result alone. Not for publishing a post-mortem, changing campaign records, or contacting customers without a separate preview and human confirmation. ## Inputs and source discipline - Record the campaign name or identifier, goal, measurement window, timezone, currency and metric units where supplied, and the as-of date/time. Never use an unprovided date as the campaign date. - Locate the brief, target definition, channel records, baseline, actual results, spend records, and qualitative feedback. Log each source, its source date, retrieval/as-of date, metric definition, denominator, unit, and scope. - Require a comparable baseline: document its period, source, definition, and known limits. If no baseline exists, state that comparison is unknown rather than constructing one. - Treat user-provided targets and platform actuals as separate evidence. Do not silently combine currencies, attribution windows, channels, or reporting periods. ## Method 1. De...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
7 months ago
Last Updated
yesterday
Language
Python
License
NOASSERTION

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