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TL;DR

Across four 196-square-mile Google Maps search grids, the strongest close-match query, “Tulsa Dent Repair,” reached SoLV 100 with a 1.25 average ranked position. On the paid side, June Google Ads conversion rate improved from 17.43% to 20.42% versus the longer account baseline while cost per conversion fell 14.1% to $19.90 and average CPC remained essentially flat.

Local SEO + Google Ads Case Study

Local Business Report: Google Profile + Ads — Dent Repair

This case study uses a real client report from a dent repair business in Tulsa, Oklahoma to show two sides of local lead generation in one place: Google Business Profile visibility across four large local search grids and Google Ads performance from the same client account. The original client-facing reporting comes first, followed by a deeper agency breakdown of what the data means, how Local SEO for dent repair businesses fits into the picture, and how simple visual proof can strengthen client retention and new sales.

Industry: Dent Repair Market: Tulsa, Oklahoma Report Date: July 2026 Focus: Google Profile + Google Ads Local Grid Coverage: 196 sq. mi.
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GHL Meets SEO Client Report · Google Profile + Google Ads
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Prepared by GHL Meets SEO

Local Business Performance Report

A consolidated look at Google Business Profile search visibility and paid-search performance for a Tulsa-area dent repair business.

Industry: Dent Repair Market: Tulsa, Oklahoma Local Focus: Google Maps / GBP Rankings Paid Focus: Google Ads Performance Data Through: July 13, 2026
Local Search Area 196 sq. mi.
Strongest Grid SoLV 100
June Conversions 68
June Cost / Conversion $19.90
Section 01 · Google Maps Visibility

Google Business Profile Search Grids

These are four separate keyword scans—not before-and-after comparisons. Each report tests how the business appears in Google's local map results from many locations across a broad Tulsa-area search grid.

Standard scan size: Each report covers approximately 196 square miles using a 15 × 15 search grid with a 7-mile radius. These intentionally large grids help show how local visibility changes as the search point moves farther from the business.
Search Term:Tulsa Dent Repair

Tulsa Dent Repair

The strongest close-match keyword in the original report. The scan shows broad top-three visibility across the tested market, with the business appearing primarily in positions 1 and 2.

Strongest Close-Match Query 15 × 15 Grid 7-Mile Radius 196 sq. mi.
GHL Meets SEO local SEO search grid for Tulsa Dent Repair from July 2026, using a 15 by 15 Google Maps grid across a 7-mile radius and 196-square-mile area, with ARP 1.25, ATRP 1.25, SoLV 100, and nearly all tested locations ranking in positions 1 or 2.
Map-focused preview
Click to Zoom
ARP 1.25 ATRP 1.25 SoLV 100.00
Search Term:Auto Dent Removal

Auto Dent Removal

A competitive service-intent keyword. The original report showed the strongest visibility close to the business and through the central search corridor, with room to expand more top-three coverage outward.

Competitive Service Term 15 × 15 Grid 7-Mile Radius 196 sq. mi.
GHL Meets SEO local SEO Google Maps search grid for Auto Dent Removal in the Tulsa market, using a 15 by 15 scan across a 7-mile radius and approximately 196 square miles to show ranking strength close to the business and across the surrounding search area.
Map-focused preview
Click to Zoom
Search Term:Dent Repair

Dent Repair

A broader competitive service keyword. The original report showed stronger visibility nearest the business, with additional geographic growth available as the search points move farther into the surrounding market.

Broad Competitive Term 15 × 15 Grid 7-Mile Radius 196 sq. mi.
GHL Meets SEO local SEO Google Maps search grid for Dent Repair in the Tulsa market, using a broad 15 by 15 scan across a 7-mile radius and approximately 196 square miles to measure how local ranking visibility changes across the market.
Map-focused preview
Click to Zoom
Search Term:Hail Repair

Hail Repair

A high-value seasonal service keyword. This scan provides a geographic benchmark for a search category where demand and local competition can change quickly after weather events.

Seasonal Service Term 15 × 15 Grid 7-Mile Radius 196 sq. mi.
GHL Meets SEO local SEO Google Maps search grid for Hail Repair in the Tulsa market, using a 15 by 15 scan across a 7-mile radius and approximately 196 square miles to benchmark visibility for a seasonal high-value dent repair service.
Map-focused preview
Click to Zoom
Section 02

How These Search Grids Work

Every numbered dot represents a Google search performed from that exact location on the map for the listed keyword.

What the Numbers Mean

Search grids measure where a business appears in Google's local map results from many different locations instead of checking a ranking from only one address.

1–3
Positions 1–3 These are the three businesses normally shown directly in Google's primary local Map Pack. Searchers can see and interact with these listings without opening the larger list of businesses.
4+
Positions 4–20 The profile is still ranking, but the searcher generally has to open more local results before reaching those listings. Paid placements may also appear above the organic map results.
Why the 196-square-mile grid matters

A larger geographic grid tests visibility farther away from the business, where proximity and a different set of competitors can influence the result. The 7-mile radius used here creates a 14-mile-wide market view rather than measuring only the immediate blocks around the business.

Why these four grids are not comparisons

Each screenshot uses a different keyword. The purpose is to compare the business's geographic visibility across different service searches—not to claim that one grid improved over another. Keyword competition, search intent, and Google's local relevance signals can differ substantially from one query to the next.

Why rankings change from one dot to another

Google local results can change block by block because proximity, relevance, prominence, reviews, website signals, business information, and nearby competitors can all influence which businesses appear for a search from a particular location.

GHL Meets SEO Google Map Pack example explaining paid Google Ads placement, organic Google Business Profile positions one through three, lower local map results, and separate website organic rankings showing how the different result types appear together.
Map Pack example: positions 1–3 normally appear directly in Google's primary local results. Paid Google Ads and website organic rankings are separate result types.
Section 03 · Paid Advertising

The original report used the account view from February 4, 2025 through July 13, 2026 as the longer baseline, then compared that performance with June 1–30, 2026.

Metric Feb. 4, 2025–Jul. 13, 2026 June 2026 Change Interpretation
Impressions 86,676 4,268 Different Periods Volume totals should not be compared directly because the date ranges differ.
Clicks 6,008 333 Different Periods June generated 333 ad interactions.
Click / Interaction Rate 6.93% 7.80% +12.6% A larger percentage of impressions became clicks in June.
Average CPC $4.04 $4.06 Essentially Flat Traffic cost stayed nearly unchanged while downstream efficiency improved.
Conversion Rate 17.43% 20.42% +17.2% June clicks were more likely to complete a tracked action.
Cost / Conversion $23.18 $19.90 −14.1% The account generated tracked actions more efficiently in June.
Main takeaway: June improved the combined conversion rate and reduced the combined cost per conversion while average cost per click remained almost unchanged.

Hail Campaign · June

Conversion Rate 45.15%
Cost / Conversion $8.71

14 tracked conversions from 31 clicks on $121.92 in spend. This was the strongest efficiency result in the June campaign breakdown.

PDR Campaign · June

Conversion Rate 19.64%
Cost / Conversion $21.79

54 tracked conversions from 275 clicks on $1,176.59 in spend. Cost per conversion improved modestly compared with the longer account baseline.

Brand Campaign · June

Click Rate 32.53%
Tracked Conversions 0

The campaign produced 27 clicks for $54.91 but no tracked June conversions. The spend was small, so one month should be monitored rather than treated as a final judgment on the campaign.

Longer Account Totals

  • 86,676 impressions
  • 6,008 clicks
  • $24,270.54 in spend
  • 1,046.99 tracked conversions
  • $23.18 combined cost per conversion

June 2026 Totals

  • 4,268 impressions
  • 333 clicks
  • $1,353.42 in spend
  • 68 tracked conversions
  • $19.90 combined cost per conversion
Important note about Google Ads conversion totals

Google Ads “conversions” are tracked actions, not necessarily unique customers or closed sales. The account includes actions such as calls from ads, website form submissions, text clicks, website call clicks, and ad-extension call clicks. Fractional totals can occur because of Google Ads attribution settings.

Long-Term Google Ads Performance · Feb. 2025–Jul. 2026
GHL Meets SEO Google Ads performance screenshot for a dent repair business showing the longer account view from February 4 2025 through July 13 2026, used as the baseline for impressions, clicks, interaction rate, average CPC, conversion rate, tracked conversions, spend, and cost per conversion.
June 2026 Google Ads Performance
GHL Meets SEO Google Ads performance screenshot for a dent repair business showing June 2026 results with 4,268 impressions, 333 clicks, 68 tracked conversions, 1,353 dollars and 42 cents in spend, and a 19 dollar and 90 cent combined cost per conversion.
Paid media note: These Google Ads results are not SEO results. They are included because paid acquisition is part of the client reporting picture and can complement a broader local SEO strategy. A long-term organic goal may be to rely on less paid traffic as website and Google Business Profile visibility grows, while continuing paid campaigns whenever the economics remain attractive.
Search Intent Across One Market

One Business Can Have Four Very Different Local Search Footprints

The most useful local-search insight in this report is not that one map looks greener than another. It is that four service phrases, scanned across the same Tulsa-area footprint, produce four different visibility patterns for the same business.

Service Queries Tested 4 Each phrase represents a different way a customer may describe the need.
Area Per Scan 196 mi² The same broad market footprint was used for each July scan.
Best Close-Match ARP 1.25 “Tulsa Dent Repair” was the strongest close-match query in the report.
Best Close-Match SoLV 100 Top-three visibility reached every tested point for that specific scan.

The Location Modifier Changes the Search

“Tulsa Dent Repair” contains both the service and the market. That is a more explicit local-intent phrase than a broad query such as “Dent Repair.” The near-uniform top visibility for the Tulsa-modified phrase shows that the profile was especially well aligned with that particular search pattern at the time of the scan.

That does not make the broader terms less important. It means the agency should treat the phrase itself as part of the data instead of assuming every dent-related keyword represents the same competitive environment.

Broader Terms Reveal Where Reach Can Still Expand

“Auto Dent Removal,” “Dent Repair,” and “Hail Repair” create a more varied geographic picture. Those maps can help surface where the profile remains strong, where ranking depth increases, and where a different mix of competitors appears as the search point moves across the market.

For planning purposes, that is more useful than chasing a single perfect screenshot. A portfolio of commercially relevant queries gives the agency several distinct visibility problems to solve instead of one generic “local SEO” score.

Case-specific takeaway: When the scan settings stay consistent, keyword-to-keyword variation becomes useful information. The question is no longer only “Where do we rank?” but “Which version of the customer’s search produces the strongest local footprint, and which service terms still have geographic room to grow?”
June Campaign Mix

The Hail Campaign Was June’s Efficiency Outlier

The combined account average is useful, but the campaign-level split exposes a much more interesting story: the Hail campaign converted a small set of clicks at a dramatically lower reported cost than the PDR campaign during June.

Hail Conversion Rate 45.15% 14 tracked conversions from 31 clicks in June.
Hail Cost / Conversion $8.71 The strongest reported June campaign efficiency.
PDR Cost / Conversion $21.79 54 tracked conversions from the larger PDR click volume.

The $8.71 Hail result deserves attention because it is materially different from the rest of the June account, but it should not be treated as a permanent benchmark after only 31 clicks. Hail demand can be highly event-driven, the available search volume can change quickly, and a short burst of high-intent traffic can make one month look unusually efficient.

The practical agency question is therefore not “Why isn’t every campaign at $8.71?” It is whether the Hail campaign can absorb additional qualified volume while preserving acceptable economics. That turns an impressive metric into a controlled scaling question instead of a promise that the same rate will continue indefinitely.

The Brand campaign creates the opposite lesson. It generated 27 clicks and no tracked June conversions, but only $54.91 in spend. That is enough to flag for monitoring, not enough to justify a sweeping conclusion about brand demand from a single month.

Where the Paid Improvement Happened

Clicks Did Not Get Cheaper—More of Them Became Tracked Conversions

June’s paid-search improvement is easier to understand when average CPC is separated from conversion efficiency. Traffic cost was almost unchanged, while the percentage of clicks completing tracked actions increased.

Average CPC Stayed Essentially Flat

The longer account view shows an average CPC of $4.04. June came in at $4.06. A two-cent difference is not what produced the lower June cost per conversion.

This matters because a lower acquisition cost does not always require cheaper traffic. An account can become more efficient after the click if a larger share of those visitors complete the actions being tracked.

Conversion Rate Moved From 17.43% to 20.42%

The higher June conversion rate coincided with combined cost per conversion falling from $23.18 to $19.90. The report supports the observation that post-click efficiency improved; it does not, by itself, identify the exact cause.

Search mix, campaign mix, landing-page behavior, seasonal demand, tracking behavior, bidding, and other variables can all influence the result. The next optimization step should be based on account-level evidence rather than assigning the improvement to one factor without proof.

There is also an important comparison rule in this report: June is one month, while the baseline covers February 2025 through July 2026. Raw impression, click, spend, and conversion totals cannot be compared as if the periods were equal. Rate-based Google Ads metrics are the cleaner way to understand whether June operated more efficiently than the longer account history.

Organic Coverage + Paid Demand

Use the Two Channels to Find Different Growth Constraints

This account is valuable as a case study because the Google Maps scans and Google Ads results answer different questions. Taken together, they help an agency decide whether the next constraint is local visibility, paid efficiency, available demand, or conversion after the click.

When the Local Map Is Already Strong

A search term with broad top-three coverage may not need the same local-visibility priority as a weaker service query. That can shift the SEO conversation toward protecting relevance, maintaining the underlying local signals, improving conversion paths, and expanding into other commercially important searches where the footprint is less complete.

  • Maintain the close-match query that already covers the market.
  • Look for service terms where ranking depth increases outside the core area.
  • Use future scans to detect erosion before it becomes obvious in lead volume.
  • Pair visibility data with actual calls, forms, appointments, and closed work.

When Paid Search Shows a Different Opportunity

The Hail campaign demonstrates why paid data should remain campaign-specific. A service can show unusually efficient paid demand even when its local organic footprint is not the strongest map in the report. That can justify a paid-media test without pretending that the ad metric and the local-ranking metric are interchangeable.

  • Use cost per conversion to evaluate paid acquisition economics.
  • Use conversion rate to see how efficiently clicks become tracked actions.
  • Use local grids to measure organic geographic visibility—not paid performance.
  • Make budget and SEO decisions from the constraint each data source actually reveals.
Do not collapse the channels into one score: A strong Map Pack footprint does not prove profitable ads, and an efficient Google Ads campaign does not prove organic ranking strength. The value of the combined report is that each channel can expose a different opportunity for the same business.
Reporting as a Decision Tool

A Better Client Question Is “What Should We Test Next?”

A mixed report becomes more useful when it ends with a decision instead of a pile of metrics. This Tulsa account contains enough evidence to create several possible next tests, but each one solves a different business constraint.

1
Name the Constraint Is the current problem visibility, lead cost, conversion rate, budget capacity, or follow-up after the lead arrives?
2
Use the Matching Evidence Use local grids for geographic map visibility and Google Ads data for paid traffic and tracked conversion efficiency.
3
Choose One Controlled Test Examples include expanding a weak service query, testing more Hail budget, or improving the post-click path.
4
Define the Checkpoint Decide in advance which rate, cost, geographic pattern, or downstream CRM outcome will determine whether the test worked.
5
Compare Against the Right Baseline Keep scan settings consistent for ranking trends and use comparable paid-media periods when evaluating campaign changes.

That decision-first approach also makes the report easier for a business owner to use. The owner does not need to memorize ARP, attribution models, auction mechanics, or every campaign column. They need to understand which part of the acquisition system is currently strongest, where the next limitation appears, and what the agency plans to test because of it.

For this case, the strongest local query and the unusually efficient Hail campaign are not competing stories. They are two separate clues about where this dent repair business was already performing well—and where the next round of testing could become more specific.

Tulsa Dent Repair Report FAQ

Questions Raised by This Specific Local + Paid Report

These answers focus on the unusual parts of this account: four same-market keyword grids, a near-perfect close-match local scan, and a June Google Ads mix with one campaign performing far more efficiently than the others.

Why can “Tulsa Dent Repair” rank much better than “Dent Repair” for the same business?

They are different searches. Adding “Tulsa” gives Google an explicit market signal, while the broader phrase can trigger a different competitive set and different relevance or proximity patterns. The July grids therefore should be read as separate keyword footprints, not as contradictory rankings.

Does a Share of Local Voice score of 100 mean the business dominates every local search?

No. The score applies only to the specific keyword, scan center, grid size, radius, date, and tracked ranking range used for that report. In this case, “Tulsa Dent Repair” reached top-three visibility across every tested point in that particular 196-square-mile scan.

Should the Hail campaign automatically receive more budget because its June cost per conversion was $8.71?

Not automatically. The result is strong enough to justify closer attention, but it came from 31 clicks and 14 tracked conversions during a potentially seasonal service period. A controlled increase can test whether more qualified volume is available without assuming the same efficiency will persist at a larger scale.

What does it mean when average CPC stays flat but cost per conversion improves?

It means the improvement did not come from paying materially less for each click. In this report, average CPC moved only from $4.04 to $4.06, while conversion rate increased from 17.43% to 20.42%. A larger percentage of clicks becoming tracked actions is what mathematically lowers cost per conversion when click cost is otherwise similar.

Why are June totals not compared directly with the full-account totals?

The date ranges are dramatically different. One month will naturally have fewer impressions, clicks, conversions, and dollars spent than a period covering more than a year. Rate and efficiency metrics such as conversion rate, interaction rate, average CPC, and cost per conversion are more useful for this specific comparison.

Can the local grids tell the agency where to increase Google Ads geographically?

They can provide context, but they are not a substitute for paid geographic performance data. A weaker organic area may be worth investigating, yet ad-budget decisions should still use Google Ads location performance, search demand, conversion quality, and business economics rather than assuming every weaker map point should receive more paid spend.

Why keep the Brand campaign in the report when it recorded zero June conversions?

Because a useful report should not hide weak or inconclusive segments. The Brand campaign spent only $54.91 in June, so zero tracked conversions is worth monitoring without overstating the conclusion. Keeping it visible makes the campaign mix easier to evaluate over future periods.

What would make the next version of this report more useful?

Consistent future scans for the same four service queries, comparable Google Ads periods, and downstream CRM outcomes would make the next report stronger. That would allow the agency to see whether geographic visibility changes, paid efficiency holds, and the tracked leads ultimately become appointments and revenue.

Find the Next Constraint Before You Choose the Next Tactic

This report showed two very different strengths in one account: exceptional local visibility for a close-match Tulsa search and unusually efficient June Hail conversions. Explore other reports to see how different markets expose different growth constraints, or review the partner model for adding repeatable website and SEO fulfillment inside a HighLevel agency.

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