Effective Strategies for Tracking and Reporting Multi-Location Local SEO Performance
Managing local search visibility across multiple locations can be a complex task, especially when you aim to present clear, actionable reports to your clients. While monitoring a single keyword for one location is straightforward—simply run a local map scan and compare over time—the challenge arises when scaling this approach across numerous keywords and multiple sites. In this article, I will share my proven methodology for organizing and analyzing local map ranking data to facilitate comprehensive, understandable client reports.
Understanding the Framework
My approach hinges on simplifying data into structured tables that allow quick assessment of performance trends across keywords and locations. This method emphasizes clarity, comparability, and actionable insights, making it easier for clients to understand their local SEO progress.
Part 1: Monitoring Multiple Keywords Within a Single Location
For individual locations, I compile keyword-specific data into a comprehensive table. Each row represents a search term, with columns indicating:
- Map Share: The percentage of grid points where the business ranks in the top three local packs.
- Main Competitor’s Share: The share held by the leading competitor, averaged across the same keywords.
- Highest Share (Ceiling): The maximum map share within the grid among all competitors, representing the local search potential.
Sample Table for a Dental Office:
| Keyword | Map Share | Main Competitor | Highest Share |
|——————-|————|—————–|————–|
| root canal | 15% | 0% | 50% |
| dental clinic | 10% | 13% | 27% |
| dentist | 7% | 22% | 22% |
| teeth cleaning | 1% | 16% | 33% |
| family dentist | 0% | 45% | 70% |
| cosmetic dentist | 0% | 6% | 95% |
| dental implants | 0% | 0% | 81% |
| teeth whitening | 0% | 1% | 91% |
Here, “Map Share” reflects the percentage of grid points where the practice appears in the top three local results. The “Main Competitor” is the business that holds the highest average share across the selected keywords, and the “Highest Share” indicates the best coverage possible within the grid. Including data from previous months enables straightforward comparison of progress, often supplemented by delta (difference) calculations or average rankings.
Part 2: Evaluating Multiple Locations at a Glance
For chains or franchises with multiple locations, I aggregate data into a per-location format. Each location gets its row, with metrics such as:
- Average Map Share: Across tracked keywords.
- Main Competitor: The strongest competitor within that location’s search profile.
- Benchmark (Maximum Possible Share): The best of the maximum shares across all locations.
Sample Summary Table:
| Office | Avg Map Share | Main Competitor | Benchmark |
|———|—————-|——————|———–|
| A | 4% | 41% | 52% |
| B | 11% | 46% | 71% |
| C | 1% | 45% | 57% |
| D | 9% | 50% | 75% |
| E | 4% | 36% | 55% |
| F | 10% | 41% | 59% |
| G | 4% | 47% | 73% |
| H | 4% | 48% | 59% |
This high-level view allows management to quickly gauge how individual locations are performing relative to competitors and potential maximums. Although detailed keyword analysis per site remains essential for tactical adjustments, this aggregated view provides the overall trend needed for strategic oversight.
Key Considerations for Effective Tracking
- Consistency Is Crucial: Conduct scans in the same geographic center, with identical radius, keywords, and timing each month. Variations in these parameters skew the data.
- Proper Timing: Run scans during business hours while the location is open. Running scans after hours or when a business is closed can lead to inaccurately low rankings, especially if Google local pack filters out closed businesses.
- Use Map Share as an Indicator, Not a Score: The percentage reflects directionality of effort, not an absolute score. The real metric of success is a resulting increase in calls, leads, or in-store visits.
Conclusion
This structured, table-centric approach mitigates the complexity of multi-keyword, multi-location tracking, making it easier to identify trends, compare performance over time, and communicate results effectively to clients. If you have alternative techniques for managing multi-location local SEO reporting, I’d be glad to hear about your experiences and strategies.
By adopting consistent, data-driven methods, we can deliver clearer insights and better support our clients’ local search success.
