Why numbers get covered.
Newsrooms are smaller than they were, and a reporter filing several pieces a day has no time for original analysis. A well-built data story does half the job for them: the finding, the workings, the regional breakdown and a quotable line, all checkable. That is why data-led PR remains the most reliable route to coverage we know.
Numbers also make headlines specific. Rents rising is a mood; the average tenant handing over a precise share of their income in a named city is a story.
Three places we find the data.
Every data campaign starts from one of three sources:
- Your own data. Sales patterns, search queries, pricing archives, support tickets. It is exclusive by definition, which journalists value more than scale.
- Public datasets. ONS releases, government statistics, Companies House filings, FOI responses. Free, credible, and mostly ignored because analysing them takes effort.
- Commissioned surveys. Polling built to answer a question people already argue about, with sample sizes and weighting a journalist won't have to apologise for.
Making data newsworthy without torturing it.
The temptation in data-led PR is to squeeze the numbers until they confess. We do the opposite, because journalists check workings and a shaky methodology burns the relationship along with the story. That means honest sample sizes, sensible comparisons, and dropping a finding that doesn't hold rather than propping it up.
Discipline pays twice. The story survives scrutiny, and the next pitch gets opened because the last one held up.
Angle types that keep working.
Certain shapes of finding come up again and again because they map onto how desks think. Regional splits give every local title its own headline from one dataset. Rankings and league tables invite celebration and outrage, which is to say coverage twice. Year-on-year change stories write their own intro. Cost calculations translate abstract trends into what it means for a household. And gap analyses, comparing what people believe with what the data shows, give a reporter the tension every story needs.
We pick the shape after the analysis, not before. The finding decides the angle, never the other way round.
Where data stories sit in a programme.
Data studies are usually the flagship within our campaign formats, planned early in the month and pitched hard, with reactive comment running alongside. They also produce the most durable coverage: a well-made index gets referenced and linked long after publication, which is exactly the compounding effect described in our guide to measuring digital PR.
Packages start from £2,500 a month, and data-led work is included rather than sold as an add-on.