paid-advertising

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Plans, runs, and optimizes paid acquisition across search, social, and display — account structure, targeting, creative, bidding, budget, and the analysis that says whether to scale or stop. Use this to set up or restructure campaigns, write and iterate ad creative, diagnose rising costs or falling performance, decide budget allocation, or judge whether a channel is working.

AI & Automation 1,356 stars 209 forks Updated 1 weeks ago MIT

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Skill Content

# Paid advertising Paid is the fastest way to buy a result and the fastest way to buy nothing. The difference is mostly discipline before launch. ## Before spending - **Know the ceiling.** Maximum acceptable acquisition cost, derived from margin and payback period, not from what feels affordable. - **Conversion tracking verified end to end**, with a test conversion confirmed in the platform. Optimizing against broken tracking teaches the algorithm the wrong thing, and that damage persists. - **The destination is ready.** Paid traffic to a page that does not convert is a donation. Fix the page first — it is cheaper. ## Structure Structure follows intent, since intent determines what a click is worth. - **Search** — separate by intent tier: brand, high-intent problem terms, category terms, broad research. Never one budget across all four; the broad terms will consume it. - **Social** — structure by audience, since creative fatigue and audience saturation are the two variables and you need to see them separately. - Enough volume per campaign to exit the learning phase. Over-segmentation starves every campaign of the data it needs. ## Naming conventions Decide the convention before the first campaign, because renaming later breaks historical reporting on every platform. A workable pattern encodes, in fixed order: channel, objective, audience or intent tier, geography, and creative theme — separated consistently, with no spaces. It should be possible to filt...

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Author
cbrock84
Repository
cbrock84/headcount
Created
1 weeks ago
Last Updated
1 weeks ago
Language
Markdown
License
MIT

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