Why did our average ticket drop when we didn't change our prices?
Almost always job mix. Average ticket is a weighted average, so it moves when the proportion of job types changes even if every individual price is identical. A spring surge in small tune-up calls will pull the company average down while every category holds steady or rises. Never interpret a company-wide average ticket without decomposing it by job type first.
The arithmetic that catches everyone
Suppose you run two kinds of work: small repairs and replacements. If repairs average one figure and replacements average a much larger one, your company average sits somewhere between them, positioned by the ratio of the two. Change nothing about pricing, run a promotion that brings in extra repair calls, and the company average falls.
This is not a pricing problem or a performance problem. It is a composition change, and treating it as either of the first two leads to exactly the wrong response — usually pressure on technicians to sell more on jobs that were never going to be large.
Decompose before you diagnose
The correct first move is to compute average ticket within each job category for both periods, alongside each category's share of total jobs. Then you can see whether any category actually moved and how much of the change is attributable to shifting shares.
In most investigations the categories are flat and the shares moved. When a category genuinely declined, you now know which one, which is a question a service manager can act on. When shares moved, the question belongs to marketing — something changed about what demand you are attracting.
Common sources of mix shift
- Seasonality. Maintenance seasons and emergency seasons have different ticket profiles. Compare to the same period last year, not last month.
- Channel change. Different lead sources produce systematically different job types. A shift in media spend shows up as a ticket change weeks later.
- Promotions. A discounted diagnostic or tune-up offer works exactly as intended and drags the average down while doing it.
- Membership growth. Plan visits are low-ticket by design. A growing plan base lowers average ticket and raises retention, which is a trade, not a problem.
- Capacity triage. When the board is full, dispatchers sometimes prioritize quick jobs, changing the mix without anyone deciding to.
What to report instead
Report average ticket by category with category share alongside it, and add revenue per completed job and revenue per available technician hour. Those three together tell you whether the business got weaker or just changed shape.
Tying job type back to lead source through marketing intelligence is what turns a mix observation into a decision, because it identifies which channel is supplying which kind of work. That relationship is the core of useful revenue intelligence for a service business.
Topics: average ticket · mix · metrics · analysis
Have a version of this question about your own business?
The useful answer usually depends on which systems you run and how they're connected. That's a conversation, not a blog post.