Franchise opportunities benchmark research: a method

Vocabulary for comparison

These labels separate the question being asked, the unit observed, the population used for comparison and the limits of each source. Use them in sequence: define the decision, describe local operations, test network comparators, then decide whether wider evidence is fit for purpose.

Decision unit: name what needs answering

Begin with the decision, not a statistic. Examples include checking whether staffing constrains completion, whether a mature outlet has unusual refund patterns, or whether a funding forecast remains plausible. Define the measure, unit, geography, service mix, maturity and period before looking for a comparator.

Sales, operating profit, owner income, cash distribution and investment return use different numerators and costs. A general average cannot safely stand in for all of them. Have a qualified accountant reconcile financial comparisons before they affect commitment or funding; a franchise benchmark may question an assumption, but it does not define a forecast.

Baseline: establish local behaviour

A baseline is the closest operational comparison when the hours, offer and recording rules are stable. Record activity over comparable periods and show the distribution by day or week instead of relying on one average. It describes observed performance, not the result for an untested site.

Mark closures, promotions, price changes and capacity limits so that a change in the figures has context. The baseline remains specific to the observed site; it cannot establish how a different site would perform. If launch conditions change, retain the dates and operating details so later comparisons do not blur unlike periods.

Peer set: check network comparability

Use network locations only when their operating characteristics make them meaningful peers. A similar label or brand does not establish that the unit, service mix, maturity and period match the question. If the match is weak, treat the figures as context rather than a like-for-like result.

Ask the franchisor for a data dictionary, participating locations, dates and exclusions, including whether closed or transferred sites remain in the population. Request counts and quartiles or ranges rather than a single mean. Establish whether figures are audited, management reported or supplied by franchisees using different recording systems.

Evidence boundary: label every source

A source is useful only within the population and method it describes. Separate the site's baseline, network records, trade-body findings and official statistics rather than treating them as interchangeable evidence. The review methodology provides further context for reading trade-body findings as a defined sample.

The BFA's 2024 survey release describes UK estimates and says members completed an online survey with further interviews. It is evidence about the study population and method stated by its sponsor, not an official census of every franchise or a forecast for an individual English territory.

Record the membership frame, respondent number where available, fieldwork dates, question wording and sponsor. If the release does not provide enough detail for the decision, use it as broad context and seek the full technical material rather than filling gaps with assumptions.

ONS business demography reports enterprise births and deaths, active enterprises and enterprise survival for the UK, with geographic and industry detail. Its coverage is based largely on businesses registered for VAT or PAYE, and an enterprise may not match the everyday idea of one business. The dataset cannot identify franchise status.

The business demography reference table should be read with its stated reference period and coverage. ONS describes the wider registered-business environment for a place or sector, but it cannot supply a franchise-specific benchmark. The separate quality and methodology report explains that an enterprise can differ from the intuitive idea of one business.

ONS defines quality as fitness for purpose across matters including accuracy, timeliness and comparability. Apply the same test to commercial reports. A recent number with an undisclosed denominator may be less useful than an older result with a transparent method.

Fit test: connect evidence to the decision

For each candidate source, record publisher, incentive, population, sample, geography, dates, definition, unit, missing-data treatment and known limits. Give it a clear verdict: comparable, adjustable with stated caveats, contextual only or unsuitable. Audience research can help keep operator questions separate from customer questions.

Link the comparator to the buyer's own model. GOV.UK says a business plan should include forecasts and be reviewed as circumstances change. A benchmark can challenge an assumption, but should not replace local capacity, prices, costs or contract terms without evidence.

Provisional range: make the gap explicit

When no like-for-like measure exists, state the gap instead of presenting a precise figure from the wrong population.

Set a provisional operating range from the unit's capacity model, collect a clean baseline after launch and schedule a review. This makes the uncertainty visible rather than disguising it as a dependable market average.

A range remains provisional until the recorded conditions and comparator fit are clear. Keep the source details beside the result, including its reference period, population and exclusions. If the decision changes, revisit whether the measure and comparison still answer the question, rather than carrying forward a number simply because it is available.