Which channels produced paid tire tickets?

Tire advertising drives price-shoppers efficiently. Whether it drives profitable tickets is a separate question that cost-per-click cannot answer.

Ranking on ticket revenue — or on gross, if you export gross as the amount — shows which campaigns bring the customer who buys four premium tires plus an alignment rather than the cheapest single tire in stock.

A winter changeover season compared against an autumn is meaningless, yet that is the comparison most dashboards default to.

Because there is no attribution window, you can run the same season last year against the same season this year and compare like with like.

Tire retail gets a particular kind of call: a size, a brand, a price, and a decision made in twenty seconds. Some of those callers arrive and some ring the next shop on the list. What separates a good source of calls from a bad one is not the volume, it is the proportion that end up on a ramp, and nothing in a call report distinguishes between them. A source can double the phone traffic and change the ticket count by almost nothing at all.

Using the call export as the lead file and closed tickets as the sales file answers that directly. Each source gets a revenue figure beside its call count, and the ratio between the two becomes visible. The spread can be wide, and the source at the wrong end of it may be the cheapest one, funded for years on the strength of its cost per call and nothing else.

The fix is rarely to switch a source off. It is to stop paying the same for both kinds of call and to change what the phone is asked to do. A source producing price checks needs a different conversation at the counter from a source producing people with a puncture, and knowing which is which before the handset is picked up is worth more than another point of margin on the tire. The report does not run the shop; it tells you which half of the phone you spent the year optimizing.

A share of the bays in most tire shops is now taken by tires the shop did not sell. The customer bought online, had them delivered, and booked a fitting. The ticket is small, the labor is real, and the job occupies the same ramp for the same length of time as a set sold across the counter. On a ticket count it is indistinguishable from the business the advertising is meant to produce. On revenue per bay hour it is a completely different thing.

A ticket or service-type column mapped as Product / service separates them in the breakdown, showing product sales and fitting-only work as their own lines with how much of each traces to a channel. To rank channels on product tickets alone — the question the advertising budget is actually trying to answer — export only those tickets; the ranking always covers everything in the file. Mixed together they produce an average ticket describing no customer the shop has.

There is a quieter version of the same problem with price matching. A ticket written at a matched price carries the revenue and not the gross, and if the export only holds the sale total then the campaign that drove the match looks as good as the one that never needed to. A cost or margin column is what makes the difference legible, and in a trade running on the margins this one does, that column is not optional. Revenue says what sold; only gross says whether the bay hour was worth it.

The economics of a tire shop are not in the tires. They are in the alignment sold alongside them, the rotations that bring the vehicle back, the brake job found during one of those rotations, and the second set four or five years later. A first ticket judged on its own says almost nothing about whether that customer was worth acquiring. Two sources with the same average first ticket can differ enormously in what they produce over the following two years of the relationship.

Because later tickets carry the same phone number, they credit the source that produced the customer without anybody maintaining a link between them. Export two or three years of closed tickets rather than one month and the ranking changes shape: sources bringing people who live nearby and come back move up, and sources bringing a one-off chasing a national price move down where they belong. Neither movement is visible in a report built on a single transaction, and neither is something a counter can recall across thousands of tickets.

This is also the honest answer to the discount question. A promotional set sold at no margin is defensible if the customer returns and indefensible if they do not, and the argument is usually had without evidence, because nobody can see the second visit attached to the first. Two files and a long enough date range settle it. Sometimes the promotion is justified, and sometimes it has been buying strangers for years — either way it stops being a matter of opinion.