Trace a marketing statistic to its original source
Follow a statistic through its source chain, check the population and denominator, and decide whether to publish it, qualify it or remove it.
Can you reach the evidence behind the number?
Start with the exact sentence you want to publish, not a number you hope to use. Identify its population, outcome and implied causal claim. Then follow each citation until you reach the original report or dataset. If the chain ends in another unsourced article, the claim is still unresolved.
Google Search Central recommends clear sourcing and original value when assessing helpful content. That supports an editorial evidence standard. It does not validate any particular marketing percentage simply because several high-ranking pages repeat it. A search result is a route to evidence, not a substitute for examining the evidence. [Creating helpful, reliable, people-first content]
A completed source-chain worksheet
Consider a fictional draft sentence: “Most trial users abandon onboarding because setup is too slow.” A slide quotes a blog, which links to a survey summary. The original survey asked former trial users to select reasons for leaving. Its sample was voluntary, and several reasons could be selected. Those details materially change the publishable wording.
| Field | What the reviewer records | Publication decision |
|---|---|---|
| Original evidence | Survey report, questionnaire and methods | Read these before the summary |
| Population | Voluntary respondents who had left a trial | Do not generalize to all trial users |
| Outcome | Reported reason, with multiple selections allowed | Do not call it observed behavior or the sole cause |
| Dates | Fieldwork and publication dates recorded separately | Check whether the product context remains relevant |
| Denominator | Respondents answering this question | Do not use all registered users |
| Retelling | Slide removed sample and wording limits | Reject the stronger slide claim |
A defensible rewrite might say that setup time appeared among reasons reported by that survey’s respondents. Whether even that sentence belongs in the article depends on the study’s actual methods and relevance. If the original cannot be inspected, omit the statistic and explain the decision using your own transparent example instead.
Does the percentage describe the denominator you think it does?
Illustrative arithmetic: if 48 of 120 survey respondents selected setup time, the reported share is 40% of those respondents. It is not 40% of all trial users. If only 120 of 1,000 invited people replied, response is 12%; that does not tell you the beliefs of the other 880 people.
Keep multiple-choice interpretation separate from arithmetic. When people can choose several answers, percentages across reasons may exceed 100%. That need not be an error. The mistake is presenting those categories as mutually exclusive or treating a selected reason as a controlled estimate of what caused the departure.
Check relative and absolute language too. A change from 10% to 12% is two percentage points and a 20% relative increase. Both are mathematically valid descriptions of the same inputs. Neither is a causal explanation, and the choice of wording should not conceal the starting level.
Make the acceptance decision visible
- Publish: original evidence is available and the sentence matches its population, period and measure.
- Qualify: evidence is relevant but a limitation changes how broadly the sentence can be interpreted.
- Replace: a newer or more direct primary source answers the same question more accurately.
- Remove: provenance is missing, the denominator cannot be recovered, or the draft claims more than the study supports.
Save the exact passage and your paraphrase in the internal worksheet. Link the public sentence directly to the source that supports it. A publisher’s home page or a generic report landing page may not let a reader reproduce the check; record the section, table or page where the evidence appears.
After editing, reread the title and summary. A carefully qualified paragraph cannot repair a headline that still says a behavior is universal. Treat evidence review as a claim-level decision across the whole article, including charts and downloadable presentations.
Sources
AI-assisted writing and an AI-generated editorial cover. Source links and checked dates are listed below; illustrative examples are labeled in the text.
- Creating helpful, reliable, people-first content — checked 2026-10-18