
Measurement
Part of How to build local service marketing measurement that holds up
Before you quote benchmark figures, check how local service marketing benchmark research is built
A benchmark figure is only as good as its sample. This guide shows how to scope, weight and date local service marketing benchmark research so comparisons hold up.
What to take away
- Most teams quote the headline average from a benchmark report without checking who was in the sample.
- A usable benchmark states its population, sample size, period and definition of a lead before it states a number.
- Business counts by size and region mean a national average can mislead a local operator.
- Compare against firms of similar size and sector, not the loudest case study in the report.
- Write the definition down before you collect data.
Why does the sample definition decide the number?
Benchmark research depends on the population it draws from. If a report gives an average cost per enquiry of £62, you cannot use it until you know whether the sample covered sole traders, limited companies or both.
Sample definition changes the average
Sole trader
- Payroll
- None
- Enquiry volume
- Low
- Cost per enquiry
- Own rate
- Geography
- Local radius
- Blended average
- Describes nobody
Limited company
- Payroll
- Staff on payroll
- Enquiry volume
- Higher
- Cost per enquiry
- Own rate
- Geography
- Wider reach
- Blended average
- Describes nobody
A sole trader with no payroll behaves differently from a firm with twenty staff. Mixing them creates an average that describes nobody.
The ONS publishes the methodology behind its UK business counts by size and location, which is a useful model for defining a population before you measure it. Read it before you accept any vendor's sample description.
Geography matters too. A benchmark built on London firms will not transfer to a market town in Cumbria, because enquiry volumes, travel radius and competitor density all shift. If a report does not name its regions, treat the figures as illustrative.
How should you weight a benchmark to your own firm?
Weighting means deciding which comparison group is actually yours. Start with three filters: sector, headcount band and trading model. A domestic cleaning business taking bookings by phone is not comparable with a mobile tyre fitter taking bookings through a web form, even if both sell locally.
Three filters before you compare
- Sectorcleaning vs tyre fitting
- Headcount bandstaff numbers
- Trading modelphone vs web form
- Hold definitions steady each quarter
Compare like with like. If your cost per booked job is £48 and the closest comparable group shows £55, you are ahead on that measure. Ask why before celebrating. Your average job value may be lower, or your close rate flattered by repeat customers.
The measurement and reporting framework sets out how to hold those definitions steady across quarters, which stops you redefining a lead every time results dip.
Which sources can anchor a local benchmark?
Government statistics give you the denominator: how many businesses exist, of what size, in which places. The 2017 business population estimates put the number of private sector businesses in the UK at 5.7 million, a figure that shows how heavily the economy leans on small firms. A benchmark that ignores that skew describes a minority.
For platform-level questions, use the primary documentation. If you take over an existing listing and need historic data, Google explains how to request ownership of a Business Profile, often the only route to that account's numbers.
A worked example. A two-van plumbing firm in Leeds spends £1,200 a month on local search and gets 40 enquiries, or £30 per enquiry.
The closest comparable benchmark group shows £45 per enquiry on £1,600 monthly spend, so the firm looks efficient. The owner should still check whether its £180 average job value sits above or below the group.
What belongs in a benchmark report you publish or buy?
Insist on five things: population definition, sample size, collection period, geography and lead definition. A report missing any of these is marketing material, not research.
Check the reporting layer next. Aggregated averages hide spread, so ask for a range or median alongside the mean. One firm spending £9,000 a month can drag a mean far above what a typical operator sees.
If you build your own pack, the reporting dashboard guide shows how to present ranges and sample notes without cluttering the page.
Date everything. A 2024 figure quoted in 2026 may still be the best available, but the reader deserves to know its age before planning against it.
Common questions
How many businesses should a benchmark sample include?
Aim for at least 30 firms in your comparison group. Below that, report a range rather than a confident average, or drop the group.
Can I use national figures for a single town?
Only as context. National counts tell you how many firms exist overall, not how your town behaves. Pair them with local observation before setting a target.
What is the most common benchmarking error?
Comparing your cost per lead with a figure built on a different lead definition. A form submission and a booked appointment are not the same event.
How often should benchmarks be refreshed?
Annually is reasonable for planning, with a mid-year check if your sector has seen a sharp shift in ad costs or enquiry volumes.



