Lookalike for local services

Quick Answer

Local services struggle with lookalikes because the geographic area is small and the seed audience is tiny. The trick is to (1) build the lookalike against a national audience but constrain the ad set to your service radius, (2) use broader percentages (3% to 5%), and (3) seed from booked customers where possible — or from engaged page followers if customer data is thin. Combined with a tight location filter, this produces strong lookalike performance even in a single city or county.

Why local lookalikes are hard

Lookalikes are country-wide by default. If you are a plumber serving one town, 99% of the lookalike audience lives nowhere near you. Meta cannot build a "lookalike of your customers within 10 miles" — the lookalike itself has to be nationwide, and you use location targeting to limit delivery.

This creates an efficiency problem: a 1% lookalike of 500 customers might produce 2 million people nationwide, but you only want to serve the 20,000 of them who live in your catchment. You are paying for a lookalike that delivers to a tiny sliver.

The good news: Meta handles this well. The algorithm focuses budget on the subset inside your location radius. You just need to configure it correctly.

Step-by-step setup

1. Build the seed from booked customers. Export customer records with email, phone, name, and postcode. Filter to customers from the last 12 months.
2. If your customer list is too small (under 300), fall back to Facebook page engagers or Instagram engagers as the seed source. These are easier to build to meaningful size.
3. Upload as a customer file via Audiences > Customer List. Hash and match.
4. Build the lookalike nationwide. Pick 1% if your seed is 1,000+, or 3% to 5% if smaller. Nationwide is key — do not try to constrain the lookalike itself to a region.
5. Create the ad set with location targeting. Set the location to your service radius (e.g., 10-mile radius around your town centre, or specific postcodes).
6. Use the nationwide lookalike as the audience in this location-constrained ad set. Meta will serve ads only to people in the location who are also in the lookalike.
7. Monitor reach and spend. The intersection of "in the lookalike" and "in your radius" might be very small. If you cannot spend your budget, widen the lookalike percentage to 5% or even 10%.

Real examples

Dental practice, 15-mile radius around a UK town. Seed: 680 patients from the last 18 months. 1% lookalike produced 530,000 people nationwide. With a 15-mile radius constraint, delivery pool was about 14,000. CPL on new patient bookings was £8 vs £19 for interest-only targeting.

Mobile dog grooming service. Seed was too small (90 customers) to build a useful 1% lookalike. Fell back to a 3% lookalike of Facebook page engagers (2,300 engaged users) with a 12-mile location constraint. CPL was £11 vs £27 for broad interest targeting. The engagement seed was better than no seed.

Boutique gym. Seed of 220 members. 5% lookalike (broader because seed was small) with a 5-mile location constraint around the studio. CPL dropped from £22 to £14. The broader lookalike percentage plus tight geography worked better than a tight percentage with broader geography.

Best practices for local services

• Use broader lookalike percentages (3% to 5%) when seed is small. Tight precision is not the goal — scale within your location is.
• Combine multiple seeds via OR logic in one custom audience. Customers + page engagers + website visitors together.
• Refresh seeds often (every 60 days). Local customer lists turn over more slowly, but engagement audiences fatigue.
• Test radius sizes — 5 miles vs 10 miles vs 15 miles. A bigger radius gives more volume; smaller means higher CPA but better show-up rates.
• Exclude existing customers so you are not advertising to people who already book with you.

What does not work

• Tiny 1% lookalikes from tiny seeds in tiny areas (pool too small to deliver)
• Running lookalike + location without any audience cleanup (frequency spikes fast)
• Nationwide delivery when you only serve one city (most impressions are wasted unless Meta narrows automatically)
• Interest-only targeting for local (usually beats lookalikes only when customer data is virtually zero)

FAQs

Can I build a lookalike of customers in my city only?
No. Lookalikes are country-wide. But the location constraint at the ad set level delivers the same effect.

What if I do not have enough customers for a seed?
Use engagement audiences (page engagers, Instagram engagers, video viewers). Run a small video views campaign first to build the seed if needed.

Is 1% too tight for local services?
Often yes. 3% to 5% is usually a better fit because the absolute number of people in the intersection is small.

How do I track offline bookings from Facebook?
Use offline conversion tracking via CSV uploads or the Conversions API. Match bookings back to the original click.

Should I run separate ad sets per location?
Yes, if you serve multiple distinct areas. Each gets its own location-constrained ad set with the same national lookalike.

Win local clicks with the right creative

Local ads compete on trust and familiarity. Pix-Vu tests local creative — photos of your premises, team, service area — against real audiences so your ads feel unmistakably local and not like generic stock-photo marketing. Try Pix-Vu free at https://pix-vu.com.