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Measurement

Part of Check sponsorship rates measurement before you report a return

How to assess evidence behind a sponsorship quote

Assess evidence behind a sponsorship quote: check benchmark definitions, samples and methods, then log sources before using it to support sponsorship rates.

Quoting sponsorship rates is easier to defend when you can name the source behind each number, see the sample it came from and check how the figure was defined.

What to take away

  • The ASA's rulings database records individual cases and outcomes, so it can help with disclosure context but is not a sponsorship-rate benchmark. To defend a quoted rate, name the benchmark's source, sample and method so you can explain why your figure differs from another creator's.
  • A benchmark is a range with a definition attachedplatform, format, usage rights, exclusivity and campaign length. Strip any of those out, or omit the measurement window, and the number stops being comparable.
  • Sample size and source matter more than headline averages. A creator survey of 200 respondents and a platform's own advertiser data answer different questions.
  • Record the date, publisher, sample and method for every figure you quote. That record is what turns a rate into a defensible position.
  • Review benchmarks each quarter, because platform pricing, audience behaviour and disclosure expectations all move.

What counts as benchmark evidence

A benchmark only counts as evidence if it states who produced it, when, how the sample was built and which platform, format and rights it covers. Without those details, a number tells you nothing about your own quote.

Sources that provide context, not rates

Use named primary sources for the evidence they actually contain. The ASA rulings database records individual cases and outcomes, showing which advertising claims were challenged and why.

Benchmark source categories

Primary sources

Method published
Yes
Sample stated
Yes
Precision
High
Example
ASA, IPA
How to cite
Named, dated

Platform data

Method published
Yes
Sample stated
Yes
Precision
High
Example
LinkedIn docs
How to cite
Named, dated

Secondary round-ups

Method published
Rarely
Sample stated
Sometimes
Precision
Directional
Example
Rate cards, surveys
How to cite
Label survey, n, date

The IPA publications and reports library carries planning and effectiveness work with stated samples and fieldwork dates. Both let you write "according to X, published in month year" rather than "industry sources say".

For UK context on media budgets and disclosure, use the IPA Bellwether Report Q2 2025, published 17 July 2025, and the ASA's influencer ad disclosure monitoring report, published 16 March 2022. Neither sets a sponsorship rate, but both anchor dated assumptions relevant to a brief.

Platform-side data is a second category. LinkedIn's audience targeting documentation sets out how professional audiences can be segmented, which matters when a brand wants a B2B creator rate justified by job title or seniority rather than follower count alone.

Secondary round-ups and rate cards

Agency rate cards and creator surveys show shape, not precision, and pool formats, so one figure may blend a 15-second story with a 90-second integrated video.

Treat them as directional. If you quote a figure, label it: whose survey, how many creators and when it ran.

The median of £850 per post below is hypothetical, not a published benchmark. For a usable figure, the survey's name, sample size and date are essential.

Hypothetical worked example, not a real benchmark: suppose an unnamed survey reports a median of £850 for an Instagram Reel with no paid usage rights. Your brief is a YouTube integration with 12-month rights, so the sample does not match.

For this hypothetical example only, adjust for format and rights, then quote a range that starts at £850 and rises by the rights fee you price, fee excluding VAT in GBP, and log the source in the template below.

How to read a benchmark without being misled

Read the definition and the sample before you read the figure. Most misleading comparisons come from two numbers that were never measuring the same thing.

Check the definition before the number

Ask what was measured. Was it the fee, the fee plus production, or total campaign spend? Was exclusivity included? A benchmark that excludes usage rights will look cheap next to one that bundles a 12-month licence. Write the definition next to the figure in your own notes.

Is this benchmark usable?

Does the definition match your fee basis?

Yes

Record definition beside figure

No

Find or state a closer match

Check the sample against your brief

A consumer lifestyle creator benchmark says little about a specialist B2B audience, so match on platform, category, audience size band and geography. If no close match exists, say so in the proposal rather than stretching a distant comparison.

Our guide, Sponsorship rates measurement and reporting, sets out how to structure that evidence file so it can be reused across pitches.

Recording and reusing the research

Research that is not written down is research you will pay for twice. Keep one file that holds the source, the definition, the sample and the date for every benchmark you quote.

Keep an evidence log

Use this template for every benchmark. When a client challenges a rate six months later, the log answers the question in seconds rather than days.

publisherdatesamplemethodquestionURLaccess date

Common failures are predictable and avoidable: a figure with no named publisher, a sample from the wrong category, a rights assumption left unstated, or an average that hides a wide spread. Name each one in your own notes and it stops weakening the next proposal.

Refresh on a schedule

Set a quarterly review. Recheck the sources you rely on, note any methodology change, and retire figures that no longer apply. If a benchmark has moved sharply, find out why before passing the movement on in a quote.

Benchmark research checklist

  • Source named, with publisher and publication date.
  • Sample size, method and geography noted.
  • Sample matched to your category, audience band and territory.
  • Quoted figures stated as fee excluding VAT in GBP, matching UK negotiation practice.
  • Access date logged for every URL cited.
  • At least two independent sources per quoted range.
  • Any figure you cannot source removed from the proposal.
  • Review date set, no more than one quarter ahead.

Common questions

These are the questions that come up most often when a quoted sponsorship rate is challenged.

How many sources should support a quoted rate?

Two independent sources is a workable minimum for a range, and one should be close to your category. If only one credible source exists, present the figure as indicative and explain the gap.

Should I quote a single average or a range?

Quote a range with the assumptions attached. An average hides the spread that matters in negotiation, and a range lets you explain what moves a deal to the upper end.

How often should benchmarks be refreshed?

Quarterly is sensible for most categories. Refresh sooner if a platform changes its ad products, if disclosure rules shift, or if your own campaign results diverge sharply from the benchmark.

What if no benchmark covers my niche?

Say so plainly, then build the case from your own campaign history, audience data and comparable adjacent categories. Documenting the absence is stronger than borrowing a number that does not fit.

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