Task Library
Build Facebook/Instagram campaigns layered by location, demographics, and interests at $1/day per ad set – the local-service workhorse of the Dollar a Day method.
Category: Dollar a Day Campaigns
Use this when a business serves a defined geography – every dollar shown outside the service area is reach you can't sell to.
Inputs
- GCT written: Goal (leads/booked jobs vs awareness), Content (proven winners), Targeting (the service area)
- Meta Business Manager set up with pixel and pages connected
- The audience grid for this market (geo, demo, interest, custom layers)
Steps
- Confirm GCT before structure: which Goal, which proven Content (from identify-signals-worth-amplifying), which Targeting boundary.
- Draw the location layer first: radius around the shop or an explicit city/ZIP list matching the real service area – and exclude where you don't serve. Cheap reach you can't service is expensive.
- Stack demographics on the geo: age range and attributes matching the actual buyer (for home services, homeowners roughly 30-65+), not platform defaults.
- Add interest clusters as separate ad sets, never merged: each geo + interest combination is its own $1/day test cell, readable on its own.
- Run placements across Facebook and Instagram feeds/reels with the creative that earned it – one-minute videos and real job photos beat polished agency ads for local service.
- Launch the matrix at $1/day per ad set, 7 days untouched, then the standard loop: analyze cost per result → kill losers → scale winners ≤2× → switch boosts to the next territory.
- Harvest locally: leads and engagers feed custom audiences; build the local lookalike for the next round and sequence warm engagers toward the quote/booking offer.
Definition of done (QA checklist)
- Location layer matches the true service area, with exclusions applied
- Demographic and interest layers split one-per-ad-set on top of geo
- All cells at $1/day across FB + IG; 7-day window held; verdicts logged
- Local custom audiences and lookalike building from results
- 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) – location-targeted FB/IG campaigns by territory for fence installation demand. Example needed – run the Meta-Article Prompt after first real run.
File in the zip: skills/dollar-a-day/create-facebook-instagram-campaigns-with-location-targeting.md. Download the Task Library zip.
Index: Task Library. Article guidelines.
