The franchise marketing agency
that runs every location.
Most agencies manage a multi-location brand as one big account and hope the averages hold. We run it as what it is: hundreds of local businesses sharing one P&L. Per-location campaigns, location pages that stay accurate, POS-integrated attribution, and AI agents that read every store's numbers every week. Proven across national portfolios measured in thousands of locations.
Averages hide everything that matters.
A multi-location brand's blended ROAS is a comfortable lie. Inside it, a third of the stores are carrying the portfolio, a third are fine, and a third are quietly burning budget on campaigns nobody has looked at since launch. Agencies staffed to review accounts monthly cannot see this — there are too many stores and not enough analysts. So they report the average, and the average looks okay.
Ad-Apt is a franchise and multi-location marketing agency built to see every store. Our delivery system pairs a senior team with software agents that read per-location performance weekly across every ad platform in the mix, flag what moved, and assemble the reporting — so human attention goes where the numbers say it should. This is not a pitch about future AI. It runs in production today across national portfolios measured in thousands of locations.
Per-location precision, portfolio-level control.
Paid media at store level — on whatever platforms your customers are on
Every location gets its own campaign footprint, on the channels that fit the market — Google Performance Max with a static location group per store, store-level Meta placements, TikTok, programmatic DSPs, retail media — with budgets that follow each site's actual opportunity. Portfolio rules keep creative, offers, and brand standards consistent while the per-store structure lets a struggling location get fixed without touching a hundred healthy ones. We are platform-agnostic: the mix follows your customers, not our preferences.
Location pages and local SEO that stay true
A real page per location — unique copy, LocalBusiness schema, hours, offers — with pricing pulled dynamically from the systems that own it, so a price change at the POS never strands stale numbers on the web. Google Business Profiles synchronized from one source of truth. A master location sheet is the single source for every address, offer, and campaign — change it once, everything downstream follows.
Attribution wired to the POS, not the pixel
Platform-reported conversions flatter everyone. We build pipelines from POS and membership systems into data warehouses like BigQuery, Snowflake, or Redshift — or the warehouse you already run — reconcile against ad-platform data, and report campaigns on transactions and memberships actually sold, per store, per plan, per campaign. Server-side tracking and conversion APIs are the default deployment, not an upsell.
Agentic monitoring and reporting
Our agents assemble a combined performance report across every platform you run — paid search, paid social, programmatic — for ownership every week. Same day, every week, no coordinator assembling screenshots. Anomalies get flagged when they happen, not at the monthly review. This is the agentic delivery system we wrote about, running on live enterprise accounts.
Lifecycle and membership marketing
For membership businesses — car washes, fitness, services — the money is in the base, not the click. Segmented email and SMS by plan status and location, churn-save flows, member-exclusive offers with barcode-level redemption tracking back to the POS. We know which campaign sold which membership at which store.
Creative production at franchise scale
An in-house creative renderer produces location-correct variants — right offer, right store, right market — in an afternoon instead of a three-week agency cycle. Brand system enforced centrally, localization automated.
The portfolios behind the claim.
National car wash portfolio
Two enterprise car wash brands under one national retail group. Per-location paid media, dynamic location pages, membership attribution from the POS into BigQuery, and agentic weekly reporting to ownership — the full multi-location stack, in production.
Read case study →True Blue Car Wash
Growth marketing for a multi-state car wash operator — per-location launch playbooks for new stores, membership funnels, and market-by-market paid expansion.
See the work →Audit the portfolio, then run it.
Portfolio audit
We open the accounts and the data and map the spread: which locations carry the portfolio, which leak, where tracking breaks, what the averages have been hiding.
- Per-location performance distribution
- Tracking and attribution integrity
- Location-page and GBP accuracy sweep
Build the system
Per-location campaign structure, data pipelines into the warehouse, location-page source of truth, agentic monitoring switched on portfolio-wide.
- Store-level campaigns launched in priority order
- POS and membership data flowing to your warehouse
- Weekly reporting cadence begins
Operate and expand
Weekly agentic review across every store, human strategy where the data says it matters, launch playbooks for every new location so day one looks like a mature store's day one hundred.
- Per-store anomaly response
- New-location launch playbook
- Quarterly portfolio strategy review
Who this is for
Multi-unit brands from about ten locations to thousands: franchise systems, car washes, QSR, fitness, services, multi-market retail. Under ten locations, our productized platform Carcin is usually the better fit — and we will say so.
- Franchisor or corporate-owned portfolios
- Membership and transaction businesses
- Teams that want the data, not a deck
What multi-location operators actually ask.
How do you run paid media differently for a multi-location brand?+
Per-location precision inside portfolio-level control. Every store gets its own local campaign footprint on whichever platforms fit the market — for example a dedicated Performance Max campaign with a static location group, or store-level Meta placements — while budget, creative, and measurement roll up to one portfolio the leadership team can steer. One underperforming store is a fix; a hundred stores drifting is a system problem. You can only tell the difference with per-location data.
What is agentic marketing?+
Software agents doing the monitoring and first-pass analysis that account teams used to do by hand. Our agents read every location's performance weekly across every ad platform in the mix, flag anomalies, draft changes, and assemble the reporting — humans make the calls. It is how a small senior team runs thousands of locations without a bullpen of coordinators. The same delivery system is described in our Claude API workflows writeup.
Can you integrate with our POS and membership systems?+
Yes — that integration is usually where the real wins are. Pipelines from POS and membership platforms into your data warehouse — BigQuery, Snowflake, Redshift, or whatever your stack already runs — reconciled with ad-platform data, so campaigns get measured on actual transactions and memberships sold rather than platform-reported conversions. For our car wash clients that means store-level membership attribution across thousands of sites.
How do location pages and local SEO work at scale?+
Every location gets a real page — unique content, local schema, accurate hours and offers — not a templated stub. Google Business Profiles synchronized from a single source of truth. Pricing on location pages pulls dynamically from the systems that own it, so a POS price change never strands stale numbers on the website.
What does reporting look like across hundreds of locations?+
Two altitudes, both automated. Store operators get per-location performance they can act on. Ownership gets a portfolio view — spend, revenue attribution, membership growth, anomalies — assembled by agentic monitoring and delivered the same day every week. Nobody copy-pastes numbers between dashboards.
Do you work with emerging franchises or only large systems?+
The systems are built for scale but the floor is lower than you would think — the economics start working around ten locations, when manual per-store management begins to break. Below that, our productized platform Carcin is usually the better fit, and we will say so.
Bring us your
portfolio numbers.
Ten-minute intro call. Bring your per-location spend and revenue — or the blended average if that is all your current agency gives you, which is itself the finding. We will tell you what the spread probably looks like and how we would prove it.
Talk to a strategist