Local & Multi-Location

Bookings at every location — tracked to revenue, not calls.

Local Services Ads, Google Ads, and Meta all treat locations as budgets to be spread evenly. That's wrong. We build location-aware bidding, route leads based on capacity + geography, automate reporting per franchisee, and connect dispatch data back to ad platforms so the system optimizes for booked jobs — not phone rings.

The pattern we see

The four things breaking your account right now.

01

LSAs eat budget without ever telling you why

Google Local Services Ads charge per lead, but the reporting hides which leads actually converted to jobs. You end up paying for tire-kickers and disputed leads with no visibility into what worked.

02

Budget is spread evenly across locations that convert unevenly

One location books 40% of leads. Another 8%. Yet both get the same monthly ad budget because "fairness." Meanwhile the high-converter is capacity-constrained and the low-converter is bleeding money.

03

Reporting per franchisee doesn't exist

Every franchisee wants their own numbers. Building 14 dashboards manually is impossible. Most agencies just email everyone the same PDF and call it "location-aware."

04

Dispatch and ad platforms never talk to each other

You know which ad drove the call. You know which call became a booked job. But those two facts live in different systems, so Google optimizes on call volume instead of booked revenue. The result: more calls, fewer jobs.

Our playbook

How we fix it.

Step 01

LSA optimization at scale

Systematic dispute management, service-area tuning, and review generation — the three levers that actually move LSA cost-per-booking.

  • Systematic lead disputes on invalid leads
  • Service-area geo-tuning per location
  • Review generation automation post-job
  • LSA + traditional Google ads coordination
Step 02

Location-aware bidding

Budgets flow to where they convert. Under-performing locations get either less spend or targeted fixes — not the same $X/month everyone else gets.

  • Per-location conversion rate tracking
  • Automated budget shifts based on capacity
  • Geo-bid adjustments tied to booking data
  • Capacity-aware pausing when a location is booked out
Step 03

Dispatch loop + automated reporting

Booked-job data flows back to ad platforms as the real conversion event. Every franchisee gets an auto-generated dashboard with their numbers, not the whole system's numbers.

  • Booked-job event piped to Google + Meta
  • Per-franchisee auto-dashboards
  • Dispatch scheduling optimization
  • Owner-only rollup view across all locations

Real result

52% less operational overhead. 41% more booked jobs.

Home services franchise · 14 locations

−52%
Operational overhead
+41%
Booked jobs
14
Locations coordinated

Problem

Manual reporting consumed 30% of the marketing team's week. Dispatch was scheduling without knowing which ad campaign drove the lead. Ad platforms optimized on call volume, so calls went up 22% but booked jobs dropped 8%.

Fix

Automated per-franchisee reporting. Connected dispatch data (booked jobs, revenue per job) back to Google + Meta as the conversion event. AI-optimized dispatch scheduling to prioritize high-revenue job types. Integrated local paid with organic + LSA.

Result

52% reduction in operational overhead. 41% increase in booked jobs (not calls — actual jobs). Marketing team recovered 12 hours per week previously spent on reporting.

We were the biggest franchisee in our region and still couldn't tell you which Google campaign drove which booked job. Now every franchisee has that view. It changed how we allocate everything.

Regional Operations Director, home services franchise

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