Build Audience Layers

Task Library

Layer location, age, demographics, interests, and custom audiences into discrete, one-variable-apart ad-set targets so every $1/day test result is readable.

Category: Dollar a Day Campaigns

Use this when the content shortlist is set and you need targets to test it against – audiences are the T in GCT, and layers are how you learn who actually responds.

Inputs

  • The winning-content shortlist with its GCT notes
  • Seed custom audiences from plumbing (site visitors, video viewers, engagers, email list)
  • Knowledge of the real buyer: service area, age range, traits, interests

Steps

  1. Start from Targeting in GCT: who is this content for, and at which funnel level (audience / engagement / conversion)?
  2. Layer 1 – location: the service area for local businesses (radius or city/ZIP list), market geography for everyone else. Exclude where you don't serve.
  3. Layer 2 – age + demographics: match the actual buyer (e.g., homeowners 30-65), never default "everyone 18-65."
  4. Layer 3 – interests: 3-5 interest clusters that proxy the customer – competitors, trade publications, adjacent behaviors. Keep clusters separate, not merged.
  5. Layer 4 – custom audiences: customer email upload, site visitors, video viewers, page engagers – then lookalikes of the best-performing of these.
  6. Keep every layer discrete: one variable difference per ad set, so when results diverge you know why. Name them with a consistent scheme (Geo-Age-Interest-Custom).
  7. Size-check each layer: large enough to absorb $1/day without instant frequency fatigue, small enough to stay meaningfully targeted.
  8. Map content to layers: cold layers get one-minute videos and proven organic winners; warm custom audiences get deeper proof and offers.

Definition of done (QA checklist)

  • Audience grid documented – location, age/demo, interest, and custom rows with naming convention applied
  • Each planned ad-set audience differs from its neighbor by exactly one variable
  • Custom audiences and lookalikes created and populating
  • Every audience layer mapped to a content piece and funnel level
  • 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) – territory-by-territory location layers stacked with homeowner demographics for local fence campaigns. Example needed – run the Meta-Article Prompt after first real run.

File in the zip: skills/dollar-a-day/build-audience-layers.md. Download the Task Library zip.

Index: Task Library. Article guidelines.

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