Auto Repair Shop Website Statistics: What We Found Scanning Phoenix

The least-digitised vertical we have measured, on two separate counts. These figures come from a live scan of auto repair shops found on Google Maps in Phoenix, part of a study of 5,443 businesses across 12 industries and 11 US metros. Every number is measured by fetching the business's actual website, not surveyed and not modelled.

Phoenix · July 2026 · measured, not surveyed

The numbers

26%
have no website at all
33%
of those with a site have no analytics installed
28%
run an advertising pixel
27%
publish an llms.txt file for AI models
12%
name a decision-maker on the website

Read the denominators before quoting these. The "no website" figure is calculated on every auto repair shop found on Google Maps. Every other figure is calculated only on the 74 percent that have a website, because a business with no site cannot have analytics on it. This is one metro rather than a national sample, and we would rather say that than let the number travel without it.

What these numbers mean if you sell to auto repair shops

Auto repair is the hardest vertical in our study on both of the measures that matter for reachability. 26 percent have no website at all, the highest rate we recorded, and of those that do, 33 percent have no analytics installed, also the highest. Put together, roughly half of the auto repair shops in the market are either invisible online or flying blind on whatever they do spend.

That combination is unusual and it is worth understanding rather than just filtering on. Auto repair is a proximity and reputation business. Customers find a shop because it is near them and because someone vouched for it, which means the return on a website has genuinely been lower here than in categories where customers compare online before choosing. The shops are not being irrational. They are responding to how their customers actually behave.

The consequence for anyone selling to them is that the standard digital-marketing pitch lands badly, because it argues from a premise the owner has already tested and rejected. The pitch that works starts from something they can verify about their own business rather than from a claim about what businesses in general should do.

The number that opens that door is the 28 percent running an advertising pixel. That is close to the study-wide average of 26 percent, and it sits oddly next to the worst analytics figure in the study. It describes a specific, common and expensive situation: a shop that is spending money on advertising while having no way to see what any of it produced. That is not an abstract argument about digital maturity, it is a bill they are already paying.

Finally, 12 percent name a decision-maker on the website, the lowest in our data. Expect to reach a general shop inbox rather than the owner, and plan the first message accordingly: in this vertical the phone is usually the better channel, and the website gap is the thing worth calling about.

How this was measured

We searched Google Maps for auto repair shops in Phoenix, took every matching business rather than a sample of the well-known ones, and then fetched each business's own website and read what was actually there: whether a site exists and loads, what platform it runs, whether analytics and advertising pixels are present, whether an llms.txt file is published, and whether any person is named as a decision-maker.

Businesses with no website were counted rather than dropped. That choice is why the "no website" figure exists at all: most datasets in this space silently exclude them, which makes every other percentage in those datasets flattering and wrong. The wider study covers 5,443 businesses, 4,524 of which had a website.

Nothing here is a survey, a projection, or an industry estimate. If we did not measure it, it is not on this page. The full cross-industry table is on the research index, and every field we collect is defined in the public data dictionary.

How fast does this data go stale?

A snapshot is only half the picture, so we measured the other half separately. We re-checked 4,527 business websites a median of 106 days after first observing them: 2.1 percent no longer loaded at all, and 1.9 percent of the sites we could read on both passes had switched a core platform such as a CMS, booking system or CRM. In a separate study we SMTP-verified 2,482 business emails scraped from company websites and found 14.2 percent of the decisively checkable addresses were dead.

Applied here: a list of auto repair shops built one quarter ago is not the list you think you have. Full methodology in the website churn study and the email decay study.

Other industries in this study

The full cross-industry comparison table, including six industries without their own page yet, is on the research index.

Run this scan on your own market

Every figure on this page came out of the same tool you can point at your own territory. Search auto repair shops in any city, see which have no website, no analytics, or no named contact, and rank them against what you sell. 500 free tokens per month, no credit card.

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