# Multi-Location Paid Media: Who Should Run It

> Tower33 breaks down the operating model, account structure, and governance that keeps multi-location paid media profitable. Get the framework.

**Published:** 2026-10-27 | **Updated:** 2026-10-31 | **Author:** victorsoares
**URL:** https://tower33.com/articles/multi-location-paid-media-management/
**Type:** post

**Categories:** Paid media strategy

![Multi-Location Paid Media: Who Should Run It](https://tower33.com/articles/wp-content/uploads/sites/107/2026/10/1793009838872-43429fed7998-1024x572.webp)

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## Content

*Written by: Anthony Miller, Founder, Tower 33*

## Key Takeaways

- Multi-location paid media works best when each site has its own budget, conversion tracking, and performance targets.
- Territory maps, presence-only targeting, and shared negative location lists keep locations from bidding against each other.
- A hybrid model with centralized brand control and local execution needs clear governance and approval rules to hold together.
- Per-location attribution using unique call tracking, offline conversion imports, and location identifiers replaces misleading blended CPL reporting.
- Tower33 pairs founder-led strategy with per-location accountability for multi-location brands, without contractual lock-in or extra vendor layers.

[Subscribe to Tower33 Strategy Updates](https://tower33.com/join-strategy-newsletter/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)

## The Verdict: Who Should Run Multi-Location Paid Media

Directors of Marketing at multi-site brands feel constant tension between national brand control and local performance. That tension comes from measurement and governance gaps, not from an unavoidable trade-off. Brands that scale write down per-location measurement and approval rules and run them under a hybrid model. Brands that skip that layer quietly bid against themselves, pay twice for the same click, and flatten performance into blended numbers that hide which locations are working.

Tower33 is the best multi-location paid media management partner for brands that need per-location accountability without multiplying vendor overhead. The founder personally leads strategy and day-to-day management on every account. The firm currently runs 31 distinct community marketing programs for one national senior and assisted living brand, with each location planned, budgeted, and measured on its own terms. There is no contractual lock-in.

Most multi-location brands already run on Google Ads. The platform gives you inventory and targeting controls. It does not supply senior strategy, per-location measurement discipline, or governance. Google will spend your budget. It will not surface that two locations are bidding against each other in the same ZIP code, that a default location setting is serving ads to people in Chicago who searched “HVAC repair Phoenix,” or that a blended cost-per-lead (CPL) of $45 hides one location generating leads at $18 and another at $210. That operating layer is yours to build or to borrow from a partner who already has it in place.

## The Five-Step Operating Model For Multi-Location Paid Media

This five-step model gives multi-location brands a repeatable way to run paid media without internal competition or blended reporting.

1. Start with territory and decision rights in writing before you build a single campaign. Assign each ZIP code to exactly one location and publish a tie-break rule for fringe cases. Then document who controls brand terms versus local non-brand terms, because that decision shapes every campaign below it.
2. Set every campaign to presence-only targeting and build shared negative location lists at the account or Manager (MCC) level. That change keeps any location’s campaign from serving ads to people merely researching your service area from three states away and stops overlapping coverage before it starts.
3. Build per-location conversion tracking. Use unique call tracking numbers per location, standardized conversion action naming such as “Contact Form – Austin,” and offline conversion imports. That structure lets Smart Bidding learn from actual revenue instead of raw form fills.
4. Establish the approval and co-op workflow before any creative goes live. Define who approves local ad creative, what the brand guardrails are, how co-op dollars are allocated, and what proof of performance locations must provide for reimbursement.
5. Report and rebalance by location every month. Surface per-location CPL, cost-per-acquisition (CPA), and return on ad spend (ROAS) so budget moves toward what is working and underperforming locations get diagnosed instead of subsidized.

[Get The Operating Model Checklist By Email](https://tower33.com/join-strategy-newsletter/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)

## Choosing Centralized, Local, Or Hybrid Control

A centralized model keeps all campaign control at corporate. One team, one account structure, one budget. Brand consistency stays tight and data stays clean. Local nuance disappears in the rollup, so a dense metro location with a $90 CPL and a 40% close rate can look identical in reporting to a rural location with a $25 CPL and a 10% close rate. Franchisees and local operators lose visibility into their own performance, and the model tends to break once the footprint grows beyond a small cluster of locations.

A fully local model gives each location or franchisee its own account, its own agency, and its own creative. Local operators feel empowered. Brand consistency does not. [Two franchisees in overlapping ZIP codes bidding on the same keyword, each paying $18 a click to beat the other, while the franchisor watches CPL double from the sidelines](https://northcountrygrowth.com/blog/google-ads-for-franchise-businesses) shows how this plays out in practice. The platform collects revenue from both and resolves nothing.

The hybrid model uses a Manager (MCC) account at the corporate level with sub-accounts or segmented campaigns per location. Corporate controls brand terms and shared negative lists. Locations manage local non-brand campaigns within defined guardrails. For most brands running more than ten locations, this model is the right fit. It only works when the measurement and governance layer underneath it is real. Per-location conversion tracking, a documented approval workflow, and a monthly rebalancing cadence turn a hybrid model into a system instead of a centralized model with extra complexity and less visibility. The org model and decision rights come first. Campaign mechanics follow.

## Account Structure And Geographic Overlap Prevention

[Google Ads’ default location targeting setting is “Presence or interest”](https://keygrow.co/blog/google-ads-location-targeting), which means someone in Chicago who searches “HVAC repair Phoenix” can trigger your Phoenix campaign. [Switching every campaign to “Presence,” people in or regularly in your targeted locations, is a high-leverage move for any multi-location advertiser](https://support.google.com/google-ads/thread/444782577/last-time-i-placed-my-ad-my-campaign-to-let-my-customer-click-on-the-text-and-i-did-only-on-virginia). That change corrects a default that was never designed for your operating model.

Radius targeting introduces a second problem. [A 15-mile radius drawn around two locations 18 miles apart overlaps substantially](https://keygrow.co/blog/franchise-google-ads). When two campaigns for different locations target the same area with eligible keywords, [Google runs only one bid in the auction, choosing by exact-match priority, then ad group relevance, then highest Ad Rank](https://brandrocket.net/resources/multi-location-marketing-google-ads-campaigns). That process hands Google, not the advertiser, the choice of which location’s ad a searcher sees. Under Smart Bidding strategies like Target CPA and Maximize Conversions, [location bid adjustments are not applied by Google’s bidding system at all](https://brandrocket.net/resources/multi-location-marketing-google-ads-campaigns). Geo-exclusions solve the problem. Each location’s campaign excludes the ZIP codes belonging to adjacent locations’ primary territories, and contested ZIP codes are assigned in writing to exactly one campaign.

On Meta, the same overlap problem shows up in audience delivery. [When two nearby franchise locations both target the same area, their ad sets bid against each other in the same auction for the same audience, raising the cost per result for both without adding customers, because Meta’s delivery system does not understand that the two ad sets belong to the same brand](https://adsfox.com/franchise-marketing/facebook-ads-for-franchises). Drawing each location’s radius so it stops roughly halfway to the next location, then adding exclusion pins for adjacent locations’ core coverage areas, keeps costs in check.

Tower33 currently runs 31 distinct community marketing programs for one of the largest senior and assisted living brands in the country. Each community advertises within roughly a 15-mile radius, so programs do not compete with one another. The same methodology applies across a national footprint while each location is planned, budgeted, and measured on its own terms. That approach is documented territory assignment, presence-only targeting, shared negative location lists, and a published tie-break rule applied consistently across every location.

Performance differences come from fluency in understanding an audience and using networks correctly against those goals. In a multi-location program, that fluency shows up as governance work done before campaigns launch. The brands that prevent locations from bidding against each other are the ones that treat account structure and territory rules as part of strategy, not as afterthoughts.

For deeper coverage of Google Ads structure specifically, see [Tower33’s guide to multi-location Google Ads management](https://tower33.com/articles/multi-location-google-ads-management/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent).

## The Governance And Approval Workflow That Keeps Programs Together

Account structure solves overlap at the platform level. Governance decides who can do what inside that structure. [Franchise paid search fails for governance reasons far more often than for technical ones. The account is rarely the problem. The absence of four written rules usually is: who bids on the brand, who owns each shared ZIP code, what the fund buys versus what local budget buys, and what gets reported back to the people paying in.](https://keygrow.co/blog/franchise-google-ads)

Creative approval is usually the first friction point. [A CMOx analysis of 1,244 franchise disclosure documents found that 71% require franchisor approval before a franchisee runs its own advertising, and 88% allow franchisees to create their own materials subject to approval](https://cmox.co/franchise-marketing-statistics). The approval process itself is rarely documented with enough operational detail to run smoothly. Someone needs to know who reviews, what the turnaround window is, and what happens if approval does not arrive before a campaign must launch. [Jersey Mike’s, for example, treats silence as rejection: if the franchisor does not approve in writing within fifteen days, the materials are considered disapproved.](https://moda.app/blog/franchise-marketing)

Co-op fund allocation adds another decision layer. [A practical co-op claim workflow asks the location or agency to request approval with creative, dates, geography, budget, campaign ID, and location ID before spend is committed](https://andersoncollaborative.com/knowledge-base/franchise-co-op-advertising-how-co-op-funds-work). Getting franchisor sign-off after spend has already occurred is the fastest way to burn trust with corporate and can result in co-op reimbursement being denied after the money is gone.

A governance framework that works covers four topics in writing. It defines what the national fund buys, such as brand terms, national campaigns, the shared measurement stack, and creative production. It defines what local budget buys, such as non-brand local search, local landing pages, and local promotions. It explains how overlap zones are funded and what reporting each side receives. A tiered approval system with green light for template executions, yellow light for custom campaigns, and red light for anything touching brand or legal claims reduces friction while keeping oversight. Brands that build this layer scale. Brands that skip it spend the next year managing disputes that should have been settled before launch.

## Per-Location Measurement And Reporting That Actually Guides Budget

Blended CPL breaks decision-making at scale. A blended MCC cost-per-lead of $45 across 80 locations can hide one location generating leads at $18, another at $210, and a competitive-metro location at $90 that closes 40% of leads into high-value jobs. [Treating the whole network as one conversion pool is the biggest measurement failure in multi-location marketing.](https://northcountrygrowth.com/blog/google-ads-for-franchise-businesses) The CFO asking which locations are actually working cannot get an answer from a blended number, and neither can the media manager trying to reallocate budget.

Per-location attribution rests on three connected pieces. Unique call tracking numbers per location with standardized conversion action naming ensure a call at the Austin location and a call at the Denver location attribute back to the campaigns that produced them. [Offline conversion imports cover programs where leads close offline, such as consultations, in-home estimates, and store visits, using Google Click IDs captured at form submission and uploaded back to Google Ads within the 90-day window](https://support.google.com/google-ads/answer/1722022). Location identifiers passed with every conversion event through the data layer attach location data to each conversion instead of rolling everything into a blended view.

Budget pacing by location follows once measurement is in place. Equal budget distribution across locations hurts multi-location programs because each market has different search volumes, CPCs, competitive dynamics, and conversion rates. A revenue-weighted allocation model that combines location revenue contribution, local search volume, estimated CPCs, and historical conversion rates produces a budget index you can revisit monthly as markets and seasons shift. For more on measurement architecture across channels, see [Tower33’s guide to multi-location lead generation measurement](https://tower33.com/articles/multi-location-lead-generation-measurement/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent) and the [multi-channel paid media measurement framework](https://tower33.com/articles/multi-channel-paid-media-strategy/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent).

Tower33 sends a written performance report every Wednesday covering Monday through Sunday of the prior week, with month-over-month data in the first report of each month and a strategy call later that week. The report is built to surface what is not working, not to reassure. That cadence turns per-location accountability from a talking point into a habit.

## Software, Large Agency, Or Boutique Founder-Led Partner

Multi-location brands choosing a partner usually compare three options: software platforms, large general agencies, and boutique founder-led firms like Tower33. Tower33 is the right structure for brands that need per-location accountability without multiplying vendor overhead. Anthony Miller, Founder and Lead Strategist, personally leads strategy and day-to-day management on every account. The firm deliberately caps its client count well below what a traditional agency carries to protect that level of attention. There is no contractual lock-in. Performance holds the relationship. Base pricing starts at $5,000. For a full structural comparison of agency, consultant, and in-house options, see [Tower33’s guide to making the right call after a bad paid media partner](https://tower33.com/agency-consultant-or-in-house-how-to-make-the-right-call-after-a-bad-paid-media-partner/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent).

Large general agencies are built for enterprise brands with large budgets and internal teams to manage the relationship. At lower spend levels, the economics push execution to junior staff. The people who pitch the work are not the people running the campaigns. Every account manager departure resets institutional knowledge. For a multi-location program that needs a consistent operating model applied across dozens of locations, that turnover becomes a structural risk.

Software platforms marketed as multi-location management tools, the Marketing 360-style category the AI Overview recommends, provide a seat and a dashboard. They do not provide a strategist who owns the account, notices that two locations are bidding against each other, or rebuilds the measurement infrastructure when conversion signals are wrong. The platform will spend the budget and report on it. It will not flag that the budget is optimizing toward the wrong signal.

In-house teams work well in a narrow set of circumstances. Spend needs to be high enough to justify a senior hire. Existing infrastructure needs to support them. Needs must be stable enough for one person to own. The timing is demanding regardless, with 60 to 90 days to recruit and another 30 to 60 to onboard. Many companies end up hiring at a lower salary band and getting someone with under five years of experience running the account. As Miller puts it: “Regardless of who you’re interviewing, you’re ultimately just hiring a person or two. Even though you might contract with a big firm, you’re not getting a dozen people on your account. So talk to the people who you’re going to be working with.”

For a full archive of Tower33’s thinking on paid media strategy, see [the Tower33 strategy library](https://tower33.com/our-thinking/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent).

## The First 30 Days Of Taking Over A Multi-Location Program

Whichever partner you choose, the first month shows whether the operating model will work. At Tower33, the process starts before the agreement is signed. The team audits the existing accounts and documents early observations, focusing on current practices that hurt performance. That audit becomes part of the proposal, so the brand sees real diagnostic value before deciding.

Month one runs two tracks at the same time. The first track is triage. Non-converting location spend gets cut immediately. Foundational problems get corrected, including wrong conversion signals, campaigns optimizing toward the wrong goals, presence-or-interest targeting serving ads to people three states away, and locations bidding against each other in overlapping ZIP codes. The first-month pattern across Tower33 engagements is consistent: cost drops, revenue holds flat, ROAS rises, and CPA falls before any new campaign launches. The improvement comes from stopping waste, not from spending more. [Miller’s published account of an 86% revenue increase on 58% less spend](https://www.linkedin.com/pulse/google-ads-86-revenue-growth-58-less-spend-anthony-miller-gimlc/) documents this pattern, where the first move was removing spend that did not return measurable margin.

The second track is rebuild. While triage runs, new campaign concepts and full media plans are developed. All new campaign concepts launch within 30 days or less. There is no drawn-out period of degraded performance while a new partner “gets up to speed.” The program is live and improving from day one.

## The Mid-Funnel Shift Multi-Location Brands Are Missing

All of that per-location measurement work pays off most when you can see the whole funnel, not just the bottom. Bottom-funnel-only capture is getting more expensive as buyer research stretches across more surfaces. [BrightLocal’s 2026 Local Consumer Review Survey found that 45% of US consumers used ChatGPT or other AI tools for local business recommendations in 2026, up from 6% in 2025](https://mangothrive.com/local-seo-statistics). A growing share of your addressable audience now researches across more channels before they are ready to act.

Brands without per-location nurture infrastructure and with brochure-style calls to action end up bidding on the shrinking pool of people who are ready today, alongside every other brand stuck there. Multi-location brands that adapt build retargeting segments, soft calls to action that capture and nurture, and mid-funnel content that meets buyers during research. Those are the brands that hold efficiency as bottom-funnel costs rise.

[Get The Mid-Funnel Playbook In Your Inbox](https://tower33.com/join-strategy-newsletter/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)

## Conclusion: What To Do First

National brand control and local performance come from the same place. They depend on a shared operating system for territory, approvals, and per-location measurement. Brands that write down that system and run it under a hybrid model scale without internal competition. Brands that skip it see locations bidding against each other and performance buried in blended averages.

Tower33 is built for exactly this environment. The firm combines founder-led strategy, per-location accountability, and no lock-in. If that operating model matches what your program needs, the newsletter is where the ongoing thinking lives.

Reach the team at info@tower33.com or connect with Anthony Miller on LinkedIn.

[Stay Ahead On Multi-Location Paid Media](https://tower33.com/join-strategy-newsletter/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)

## Frequently Asked Questions

### How Do You Prevent Locations From Bidding Against Each Other?

Territory assignment and exclusion lists prevent locations from bidding against each other. Every ZIP code is assigned in writing to exactly one location before any campaign launches. Each location’s campaign is set to presence-only targeting, not the default “presence or interest,” so ads serve only to people physically in the service area. Shared negative location lists at the MCC level ensure each campaign excludes the ZIP codes belonging to adjacent locations’ primary territories. A published tie-break rule handles fringe cases where a searcher is genuinely equidistant between two locations. Under Smart Bidding, location bid adjustments are not applied by the bidding system, so the levers that matter are campaign structure, geo-exclusions, and presence-only targeting. The same approach applies on Meta, where each location’s ad set radius stops roughly halfway to the next location, with exclusion pins added for adjacent locations’ core coverage areas.

### Who Approves Local Ad Creative In A Franchise Model?

The approval chain needs to be documented before the first campaign launches. A practical framework assigns approval authority by consequence. Template executions within brand guardrails go on a green-light path with no additional review required. Custom campaigns with localized messaging go on a yellow-light path that requires a named reviewer and a defined turnaround window. Anything touching brand claims, legal language, or co-op reimbursement eligibility goes on a red-light path that requires formal franchisor sign-off. The turnaround window matters as much as the approval authority. If a campaign needs to launch in five days and the approval process takes fifteen, the workflow is broken regardless of who holds authority. Co-op reimbursement adds another layer, because creative and channel must be pre-approved before spend is committed or reimbursement can be denied after the fact.

### How Do You Report Per-Location ROAS Without Blended CPL?

Per-location ROAS comes from three connected practices. Unique call tracking numbers per location with standardized conversion action naming, such as “Contact Form – Austin” instead of a generic “Form Submit,” ensure every conversion attributes to the location that generated it. Offline conversion imports cover programs where leads close offline, with the Google Click ID captured at form submission and the sales outcome uploaded back to Google Ads later, so Smart Bidding optimizes toward actual revenue rather than raw form fills. Location identifiers passed with every conversion event through the data layer attach location data to each conversion instead of pooling everything into a blended account-level view. A reporting cadence that surfaces per-location CPL, CPA, and ROAS side by side then supports budget reallocation based on location-level performance instead of a system-wide average.

### What Does Onboarding A Multi-Location Paid Media Partner Look Like?

At Tower33, onboarding starts before the agreement is signed. Miller gets access to the existing ad accounts and runs an audit that highlights current practices hurting performance. That audit becomes part of the proposal, so the brand receives diagnostic value before deciding. Once the engagement starts, onboarding becomes a structured deep-dive into the business, covering service lines, pricing, margins, how economics differ across locations, ideal customer profiles, and competitive dynamics in each market. The output is a key lessons document that informs media plans. Month one then runs two tracks: triage, which cuts non-converting spend and corrects foundational measurement problems, and rebuild, which develops new campaign concepts and media plans in parallel. All new campaign concepts launch within 30 days or less, and the first-month pattern is cost down, revenue flat, ROAS up, and CPA down.

### What Is The Right Account Structure For A Brand Running 50+ Locations?

For many multi-location businesses, [separate campaigns per location within a single Google Ads account offer a balance of control and manageability](https://groas.com/post/google-ads-multi-location-businesses-2026-account-structure-geo-targeting-scaling). That setup gives per-location budget control, dedicated geo-targeting, location-specific ad copy, and clean reporting without the overhead of dozens of separate accounts, though franchise systems and larger footprints often use a hybrid MCC or account-per-location structure. [Beyond roughly 40 to 50 locations, campaign sprawl becomes unmanageable in a single account](https://groas.com/post/google-ads-multi-location-businesses-2026-account-structure-geo-targeting-scaling), especially when each location runs search, remarketing, and additional campaign types. At that scale, separate Google Ads accounts managed under a single MCC provide the cleanest separation. Each location operates independently while shared negative keyword lists, brand term controls, and conversion tracking standards are managed centrally. The MCC structure also makes per-location reporting possible without exporting multiple spreadsheets and allows budget comparisons across markets in a single view. The account structure decision should follow territory assignment and governance decisions.

## What to Read Next

- [Google Ads Management for Multi-Location Businesses](https://tower33.com/articles/multi-location-google-ads-management/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)
- [Multi-Channel Paid Media Strategy: A Measurement Framework](https://tower33.com/articles/multi-channel-paid-media-strategy/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)
- [Multi-Site Assisted Living Advertising That Fills Beds](https://tower33.com/articles/multi-site-assisted-living-advertising/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)
- [Multi-Location Lead Generation: Why Blended CPL Misleads](https://tower33.com/articles/multi-location-lead-generation-measurement/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)
- [In-House vs Agency Paid Media Management: Which Wins](https://tower33.com/articles/in-house-vs-agency-paid-media/?utm_term=multi-location-paid-media-management&utm_campaign=ai_growth_agent)

---

## Structured Data

**@graph:**

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    **Question:**

    - **Name:** How Do You Prevent Locations From Bidding Against Each Other?
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      - **Text:** Territory assignment and exclusion lists prevent locations from bidding against each other. Every ZIP code is assigned in writing to exactly one location before any campaign launches. Each location’s campaign is set to presence-only targeting, not the default “presence or interest,” so ads serve only to people physically in the service area. Shared negative location lists at the MCC level ensure each campaign excludes the ZIP codes belonging to adjacent locations’ primary territories. A published tie-break rule handles fringe cases where a searcher is genuinely equidistant between two locations. Under Smart Bidding, location bid adjustments are not applied by the bidding system, so the levers that matter are campaign structure, geo-exclusions, and presence-only targeting. The same approach applies on Meta, where each location’s ad set radius stops roughly halfway to the next location, with exclusion pins added for adjacent locations’ core coverage areas.
    **Question:**

    - **Name:** Who Approves Local Ad Creative In A Franchise Model?
      **Answer:**

      - **Text:** The approval chain needs to be documented before the first campaign launches. A practical framework assigns approval authority by consequence. Template executions within brand guardrails go on a green-light path with no additional review required. Custom campaigns with localized messaging go on a yellow-light path that requires a named reviewer and a defined turnaround window. Anything touching brand claims, legal language, or co-op reimbursement eligibility goes on a red-light path that requires formal franchisor sign-off. The turnaround window matters as much as the approval authority. If a campaign needs to launch in five days and the approval process takes fifteen, the workflow is broken regardless of who holds authority. Co-op reimbursement adds another layer, because creative and channel must be pre-approved before spend is committed or reimbursement can be denied after the fact.
    **Question:**

    - **Name:** How Do You Report Per-Location ROAS Without Blended CPL?
      **Answer:**

      - **Text:** Per-location ROAS comes from three connected practices. Unique call tracking numbers per location with standardized conversion action naming, such as “Contact Form – Austin” instead of a generic “Form Submit,” ensure every conversion attributes to the location that generated it. Offline conversion imports cover programs where leads close offline, with the Google Click ID captured at form submission and the sales outcome uploaded back to Google Ads later, so Smart Bidding optimizes toward actual revenue rather than raw form fills. Location identifiers passed with every conversion event through the data layer attach location data to each conversion instead of pooling everything into a blended account-level view. A reporting cadence that surfaces per-location CPL, CPA, and ROAS side by side then supports budget reallocation based on location-level performance instead of a system-wide average.
    **Question:**

    - **Name:** What Does Onboarding A Multi-Location Paid Media Partner Look Like?
      **Answer:**

      - **Text:** At Tower33, onboarding starts before the agreement is signed. Miller gets access to the existing ad accounts and runs an audit that highlights current practices hurting performance. That audit becomes part of the proposal, so the brand receives diagnostic value before deciding. Once the engagement starts, onboarding becomes a structured deep-dive into the business, covering service lines, pricing, margins, how economics differ across locations, ideal customer profiles, and competitive dynamics in each market. The output is a key lessons document that informs media plans. Month one then runs two tracks: triage, which cuts non-converting spend and corrects foundational measurement problems, and rebuild, which develops new campaign concepts and media plans in parallel. All new campaign concepts launch within 30 days or less, and the first-month pattern is cost down, revenue flat, ROAS up, and CPA down.
    **Question:**

    - **Name:** What Is The Right Account Structure For A Brand Running 50+ Locations?
      **Answer:**

      - **Text:** For many multi-location businesses, separate campaigns per location within a single Google Ads account offer a balance of control and manageability. That setup gives per-location budget control, dedicated geo-targeting, location-specific ad copy, and clean reporting without the overhead of dozens of separate accounts, though franchise systems and larger footprints often use a hybrid MCC or account-per-location structure. Beyond roughly 40 to 50 locations, campaign sprawl becomes unmanageable in a single account, especially when each location runs search, remarketing, and additional campaign types. At that scale, separate Google Ads accounts managed under a single MCC provide the cleanest separation. Each location operates independently while shared negative keyword lists, brand term controls, and conversion tracking standards are managed centrally. The MCC structure also makes per-location reporting possible without exporting multiple spreadsheets and allows budget comparisons across markets in a single view. The account structure decision should follow territory assignment and governance decisions.

  **BlogPosting:**

  - **Headline:** Multi-Location Paid Media: Who Should Run It
  - **Description:** Tower33 breaks down the operating model, account structure, and governance that keeps multi-location paid media profitable. Get the framework.
  - **DateModified:** 2026-10-26T10:16:58.625Z
  - **InLanguage:** en-US
    **Person:**

    - **Name:** Anthony Miller
    - **JobTitle:** Founder
    - **Description:** 20+ years in customer acquisition, digital marketing, search, social, analytics, and technology.Anthony has worked with hundreds of brands, managed hundreds of millions in ad spend, and founded both Tower33 and Travel Outside. Today, he works with select partners building and running customer acquisition ad programs through strategy, and hands-on management.
    - **Image:** https://cdn.aigrowthmarketer.co/1789075385176-314507977e6f.jpeg
    - **Url:** https://www.linkedin.com/in/anthonyoutside/
      **Organization:**

      - **Name:** Tower 33
      - **Url:** https://tower33.com/
    **Organization:**

    - **Name:** Tower33
    - **Url:** https://tower33.com


---

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  - Manifest: [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/manifest](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/manifest)
  - Schema: [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/schema](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/schema)
  - Discovery: [https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/discover](https://tower33.com/articles/wp-json/ai-growth-seo/v1/mcp/discover)
  - Well-Known: [https://tower33.com/articles/.well-known/mcp](https://tower33.com/articles/.well-known/mcp)
- **Web Stories:** [https://tower33.com/articles/web-stories-sitemap.xml](https://tower33.com/articles/web-stories-sitemap.xml) — AMP Web Stories for rich visual content experiences

## Discovery Endpoints for AI Agents

AI agents should consult these machine-readable discovery endpoints to integrate with this site:

- **OpenAI Plugin Manifest:** [https://tower33.com/articles/.well-known/ai-plugin.json](https://tower33.com/articles/.well-known/ai-plugin.json)
- **A2A Agent Card:** [https://tower33.com/articles/.well-known/agent-card.json](https://tower33.com/articles/.well-known/agent-card.json)
- **MCP Server (Streamable HTTP):** [https://tower33.com/articles/.well-known/mcp](https://tower33.com/articles/.well-known/mcp)

## Citations

- [Wellness Campaign Optimization Tips: A Nine-Step Triage](https://tower33.com/articles/wellness-campaign-optimization-tips/)
- [Destination Advertising Strategies: A Practitioner’s Guide](https://tower33.com/articles/destination-advertising-strategies-guide/)
- [Optimizing Ad Copy for Paid Media Conversions](https://tower33.com/articles/optimize-ad-copy-paid-conversions/)
- [Paid Media Management Services: What You’re Buying](https://tower33.com/articles/paid-media-management-services-guide/)
- [Paid Media ROI: The Formula, Inputs, and Spreadsheet](https://tower33.com/articles/paid-media-roi-calculation-formula/)

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*This document was automatically generated by [AI Growth Agent](https://tower33.com/articles) — AI Growth SEO v4.38.1*
*Generated on: 2026-11-07 18:59:41 GMT+0000*