Task Library
Put $1/day per ad set behind validated, high-performing content across layered audiences – maximum learning per dollar, then kill losers and scale winners.
Category: Content Factory – Promote
Use this when content has proven itself organically (or in boosts) and you want systematic, low-risk paid amplification.
Inputs
- The three prerequisites verified: a valued product, happy customers, and content with proven organic signal
- Digital plumbing live: verified profiles, working pixels, conversion tracking (/digital-plumbing)
- Audience layers built: location, age, demographics, interests, custom audiences (/dad)
Steps
- Confirm the content qualifies: it already earned engagement organically. Dollar a Day amplifies winners; it does not rescue losers.
- Build the test matrix: one ad set per audience layer per creative – multiple simultaneous tests, each isolated so results are readable.
- Set $1/day per ad set – minimum viable spend that buys data without risk. A 20-ad-set matrix costs $20/day, less than one bad "big launch."
- Run 7 days untouched. Resist edits; mid-flight changes reset learning.
- Analyze: cost per result, engagement rate, relevance, and conversions per ad set (use apply-metrics-decomposition to localize why one beats another).
- Kill the bottom 90% without sentiment. The point of cheap tests is cheap funerals.
- Scale winners gradually – never more than 2× budget per adjustment – and extend them via switch boosts to new audiences and cold → warm → conversion sequencing.
- Repeat weekly as a standing MAA loop: measure, analyze, act.
Definition of done (QA checklist)
- Every ad set at $1/day against a defined audience layer; multiple simultaneous tests running
- Full 7-day run before any judgment; no mid-flight edits
- Bottom 90% killed; winners scaled ≤2× per step with the change logged
- Cost per result per ad set recorded and fed to Stage 6 optimization skills
- Linked back to the definitive article and relevant siblings
- Complies with Blog Posting Guidelines (if it publishes content)
Example(s)
- Worked example to document: Zach Peyton (Superior Fence & Rail) running $1/day behind winning fence content; Marko Sipila (HVAC Quote) behind one-minute answer videos. Example needed – run the Meta-Article Prompt after first real run.
File in the zip: skills/content-factory-promote/run-dollar-a-day-campaign-on-winning-content.md. Download the Task Library zip.
Index: Task Library. Article guidelines.