The anatomy of a data story journalists actually publish
The five-part structure that earns coverage: the finding, the hook, the method, the visual, and the quote that turns data into a story.
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Notes from the newsroom side of PR — how to build stories journalists actually run.
The five-part structure that earns coverage: the finding, the hook, the method, the visual, and the quote that turns data into a story.
Read article →How sample size, neutral questions, weighting and honest methodology produce survey data reporters trust instead of spike.
Read article →Why reporters need defensible data, exclusivity and deadline respect while bloggers want relationships, and how the pitch must differ.
Read article →How earned and placed links are acquired, what each is worth, how long each lasts, and why data PR earns the durable kind.
Read article →How to tie your data to a breaking story with speed and a genuine angle, and the discipline to know when to skip it.
Read article →Why coverage quality, earned links, referral traffic and branded search beat impressions and AVE for measuring data-PR impact.
Read article →How to turn internal and aggregate product data into privacy-safe PR stories journalists actually want to cover.
Read article →How to find free government and open data, angle it into news, and credit sources so the story holds up.
Read article →How to build charts and asset packs reporters reuse, which formats survive the page, and what to avoid.
Read article →How to find the single striking number in your data, frame it honestly, and lead every pitch with it.
Read article →Build a year-ahead PR calendar that ties data to predictable moments and balances evergreen against timely studies.
Read article →How to mine your own customer data for newsworthy stories using aggregation, anonymisation, consent and ethics without breaching trust.
Read article →A section-by-section template for a release built around original research: headline stat, method box, quote, and assets.
Read article →When to send, embargo versus exclusive, a sane follow-up cadence, and the news cycles a data story should avoid.
Read article →How regional cuts, segment cuts, follow-up waves, and an annual refresh turn one dataset into a year of coverage.
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