Ranking Coverage Thresholds for Google Maps Grid Scans
Ranking Coverage Thresholds for Google Maps Grid Scans

Google publishes no coverage threshold for local rankings. No percentage of grid points in the map pack counts as “good” in any official sense. A coverage figure comes from a sample you design, so the useful thresholds are the ones you set for each client, keyword and market, then hold fixed so the numbers can be compared over time.
This guide shows how to do that: what coverage measures, why a single universal benchmark misleads, how to build tiers you can defend in a client meeting, and how to connect those tiers to actions and real outcomes.
TL;DR
- Map pack coverage is the share of grid points where a business shows up in the top three local results. It is an industry-derived sample metric, not a Google score.
- Coverage depends on grid size, radius, point count, keyword and search surface, so a number from one setup cannot be compared with another.
- Set thresholds per client and per keyword, from a baseline scan, and keep the grid fixed for month-over-month comparisons.
- Split results into pack, mid-ranking and absent cells instead of leaning on one average position.
- Report coverage beside Business Profile impressions, calls, website clicks and direction requests. Never promise that a coverage gain equals the same gain in leads.
Table of Contents
- What a coverage percentage actually measures
- Why one fixed threshold cannot work everywhere
- Build your own coverage bands
- Keep every scan comparable
- Pair coverage with outcomes
- What to do when coverage is weak
- Our perspective: thresholds are a reporting tool, not a goal
- Turning thresholds into a client report
- Run your first baseline with Maprank
- Common mistakes with coverage thresholds
- FAQ
- Sources
What a coverage percentage actually measures
A grid scan searches the same keyword from many points laid over a map and records where the business ranks at each one. According to Otepsphere’s measurement guidance, map pack coverage is the share of sampled grid points where a business appears in the typical top three local listings, and it is a sample metric rather than an official Google score.
That definition has three consequences.
- The denominator is yours. A 5x5 grid has 25 points, a 9x9 grid has 81. Change the grid and you change what 100% means.
- The geography is yours. The same guidance notes that a 2-mile urban study and a 15-mile regional study are different measurements. A plumber can hold 80% of a tight grid around the shop and 20% of a regional one.
- Nothing about it is a pass or fail mark. Google does not grade a business on coverage, so any “threshold” is a working agreement between you and your client.
The same guidance separates ranking position (where a listing sits in one result set at one point) from geographic visibility (how often and where it appears across the area you care about). Both matter, and coverage speaks only to the second.
Why one fixed threshold cannot work everywhere
Google says local results are mainly based on relevance, distance and prominence. Those three interact, so the same business can be strong next to its address and weak at the far edge of its service area. Neither scan is wrong. Distance alone will cap visibility for many businesses outside their immediate neighborhood.
This is why copying a number like “aim for 60%” from a blog post fails. Consider three clients:
- A dentist in a dense downtown, where dozens of competitors sit within a few blocks. Reaching the pack at the edges of a wide grid may be unrealistic.
- A mobile service business with a 25-mile service area and a home-based address. Coverage will fall off with distance, however good the profile is.
- A single-location restaurant, where customers search from very nearby. A wide grid mostly measures areas that will never become customers.
A threshold that is ambitious for the first, modest for the second and irrelevant for the third is not a threshold at all. The fix is to define it from the client’s real catchment.
Build your own coverage bands
Start by classifying every grid cell, not by averaging them. Average position alone is insufficient because it can hide a split market and depends on how unranked cells are scored, which is the point made in the Otepsphere guidance. Three segments are enough:
| Segment | Cell rank | What it tells you | Typical response |
|---|---|---|---|
| Pack | 1 to 3 | You are visible where it counts | Defend: reviews, fresh content, category accuracy |
| Mid-ranking | 4 to 10 | Close, but below the fold of the local pack | Best return on effort: prominence and relevance work |
| Absent | Not in results | No visibility at this point | Investigate distance, category fit, or whether the area matters |
Then set tiers for the share of cells in the pack. The numbers below are our working rules of thumb, not an industry standard and not anything Google defines. Adjust them to the market.
| Pack coverage of the client’s target grid | How we would label it |
|---|---|
| Under 20% | Weak: the business is visible mostly at its own address |
| 20% to 50% | Developing: strong core area, gaps in the surrounding zones |
| 50% to 75% | Strong: competitive across most of the target area |
| Over 75% | Dominant: the job shifts to defending and converting |
The label matters less than the process. Write the bands down in the first report, explain that they are a project agreement, and do not move them mid-engagement.
Set the target from the baseline
A better approach than a universal number is a relative goal. Run a baseline scan, count pack, mid-ranking and absent cells, and agree on a target such as “move the mid-ranking cells nearest the shop into the pack” or “raise pack coverage in the three northern zones.” That ties the threshold to specific geography and specific work, which is far easier to defend than a headline percentage.
It also lets you exclude zones that do not matter. If a client does not serve the east side of the grid, those cells should not drag the denominator down. Draw the grid around where customers actually are.
Keep every scan comparable
The most common measurement failure is changing the study area or location context between scans. Coverage is conditional on the grid, spacing, keyword, device or search surface, and exact search location. Hold all of them constant when you compare month to month.
A short checklist for every recurring scan:
- Same center point and same business location.
- Same grid dimensions and point spacing.
- Same keyword set, with the exact wording unchanged.
- Same scan frequency, ideally the same day of the week and time window.
- A written note whenever anything changes, with a fresh baseline started after the change.
If you must widen the grid because a client expands into new suburbs, treat the next scan as a new baseline. Widening the radius changes the denominator and can create an apparent gain or loss that is really a different market sample.
Handle missing data with care too. Record cells where the business did not appear as absent rather than silently scoring them as rank 21 or zero. Different scoring choices produce different averages from identical results, which is how reports quietly stop being comparable.
Pair coverage with outcomes
Coverage shows where a business can be found. It does not show whether anyone found it, called, or visited. Those answers come from Google’s own performance data. Business Profile performance reporting shows how people discover a profile through Search and Maps and what they do next. The Business Profile Performance API separates desktop from mobile and Maps from Search impressions, and covers calls, website clicks and direction requests.
A few details that change how you report:
- Several impression metrics count repeated impressions from one unique user within a day as a single impression, so they are not raw view counts.
- Search-query data updates at the start of each month and can take several days to appear, so do not expect a mid-month scan to line up with it.
- If you pull data through Google Analytics, note that Business Profile metrics there are available for the last 6 months. That limit applies to Analytics specifically. If a client wants year-over-year comparisons, export and store the data yourself every month.
Place the two kinds of data side by side. If pack coverage rose from 31% to 44% and direction requests were flat, say so, and look at whether the new cells are in low-demand areas. If both rose, you have a stronger story, though you should still avoid claiming one caused the other. A percentage gain in coverage will not equal the same percentage gain in calls or revenue, and a careful report never implies it will.
For a deeper look at tying ad and organic metrics to business results, this guide to measuring Google Ads performance is a useful companion when clients run paid and local work together.
What to do when coverage is weak
When a scan comes back thin, resist the urge to fix everything at once. Work from the segments.
Absent cells far from the address. Often a distance problem. Google lists distance as a core factor, so some of these cells are simply out of reach. Decide with the client whether the area is worth chasing, or whether the grid should shrink.
Mid-ranking cells close to the address. These are your best opportunity. Start with the basics Google itself recommends: complete and accurate business information makes a business more likely to show up in local results. Then look at reviews, categories and web references that build prominence. For a broader primer on how those signals connect to small-business marketing, see this overview of small business marketing strategies.
Pack cells that slip. Compare scan to scan. A drop in a specific zone often points to a competitor who gained reviews or opened nearby.

When choosing what to fix first, expert surveys can help you prioritize, as long as you label them correctly. The Whitespark local search ranking factors survey asked 44 local SEO experts to rank 149 potential factors. It reflects practitioner opinion, not Google’s disclosed formula. If it ever conflicts with Google’s own relevance, distance and prominence explanation, go with Google.
Google is also clear that there is no way to request or pay for a better local ranking. Anyone who sells a guaranteed coverage percentage is promising something nobody controls.
Our perspective: thresholds are a reporting tool, not a goal
We build grid rank tracking for agencies, and we see the same mistake repeatedly: a team picks a coverage target, hits it by shrinking the grid, and calls it a win. The client feels nothing, because nothing changed in the market.
Our view is that visibility is a study design, not a property of the business alone. That is why we let you customize grid size and spacing, and why we think the grid should be agreed on before the first scan, not adjusted after you see the result. Good reporting shows three things together: where the business is visible, where it is not, and what the agency did about it.

We also think pricing should not push you to cut corners on measurement. Per-location fees tempt agencies to scan fewer clients, fewer keywords or fewer zones than they should. That is why every Maprank plan includes unlimited businesses and white-label reporting, and why pricing is based on scan credits. You decide how many scans a client deserves, not a location counter.
And we do not connect to your clients’ Google accounts to run scans, so you can start a baseline before the onboarding paperwork is done.
— Local
Turning thresholds into a client report
A report that earns renewals is short and specific. A structure that works:
- Baseline and target. The grid, keywords and bands agreed at the start.
- This month’s scan. Pack, mid-ranking and absent shares, with the heatmap beside the previous scan.
- What changed in the profile. Categories updated, review requests sent, posts, photos, listing corrections.
- Outcome data. Impressions, calls, website clicks and direction requests from Business Profile performance.
- Next month. Two or three zones to target, and why.
Keep the language plain. Clients do not need to learn what a “point” is, but they do respond to a map where the red area near the shop turns green. If you present on your own domain with your own branding, the report reinforces that the work is yours.
For more on layouts and workflows, see our posts on local pack rank tracking, measuring the impact of local SEO work and how grid trackers cover a full service area.
Run your first baseline with Maprank
If you want to set coverage bands from real data, Maprank plans start with Solo at $19 per month or $228 per year, Agency at $39 per month or $468 per year, Pro at $79 per month or $948 per year, and Scale at $149 per month or $1,788 per year. Every plan includes unlimited businesses and white-label reporting. You can compare them on the Maprank site, or look at the one-off rank check if you want to see a single grid before committing.
Common mistakes with coverage thresholds
- Comparing across setups. A 7x7 grid at 1-mile spacing is not comparable with a 5x5 at 3 miles.
- Chasing a number by shrinking the grid. It raises the percentage and changes nothing for the client.
- Reporting average position alone. It hides split markets.
- Using one keyword as the whole story. Track the terms customers use, and report them separately.
- Treating coverage as revenue. It is a diagnostic sample. Reconcile it with Business Profile actions and leads.
- Skipping the record of changes. Without notes, a coverage jump in March is unexplainable by June.
FAQ
What is a good map pack coverage percentage?
There is no official figure, because Google does not define one. A good result is relative to the grid, the keyword and the client’s real service area. Set bands from a baseline scan and judge progress against them, not against a number from another setup.
Does higher coverage mean more calls and customers?
Not automatically. Coverage measures where a business can appear in a sample, while Business Profile performance data records actual impressions and actions. Report both side by side, and avoid promising that a gain in one produces the same gain in the other.
How often should I scan to track coverage?
Most agencies review monthly, which also matches how Google’s search-query data updates. What matters more than frequency is consistency: the same grid, spacing, keyword and timing for every comparison.
Can I change the grid in the middle of a project?
Yes, but treat the next scan as a new baseline and note the change in the report. Changing the radius changes the denominator, so comparing before and after as if nothing moved will mislead the client.
Sources
- How to Measure Google Maps Visibility, Otepsphere
- Tips to improve your local ranking on Google, Google Business Profile Help
- Understand your Business Profile performance and insights, Google Business Profile Help
- Google Business Profile Performance API reference, Google for Developers
- Connect Google Business Profile to Google Analytics, Analytics Help
- 2023 Survey: Local search ranking factors, Search Engine Land