Templates · Jun 25, 2026 · 10 min read · by the Pressfold team

The data-study press release format that gets read

Most press releases built around a study fail for a boring reason: the journalist cannot find the number that matters in under ten seconds. They open the email, skim the first paragraph, see throat-clearing about a "leading provider" and a "comprehensive analysis," and they close the tab. The data might be excellent. The format buried it. After years of shipping data stories that actually get picked up, I have come to believe the release format is not a packaging afterthought. It is the product. Get the structure right and a mediocre dataset can earn coverage. Get it wrong and a genuinely original study dies in the inbox.

This is a template post, so I will be concrete. Below is the structure I use for a release built around original research: headline stat, summary, method box, a usable quote, and an assets block. I will explain what goes in each section, what to cut, and the small mistakes that quietly kill response rates.

Lead with the single stat, not the company

The headline and the first sentence exist to do one job: deliver the most surprising, specific, defensible number you have. Not the topic. Not the company. The number. A journalist scanning forty pitches before lunch is sorting on one question — is there a story here? Your headline stat is the answer or it is nothing.

The strongest headline stats share three traits. They are specific (a real figure, not "many" or "a majority"), they are surprising relative to what a reader assumes, and they are attributable to a method that survives a second look. "62% of remote workers have never met their direct manager in person" works because it is precise, mildly counterintuitive, and you can immediately picture the survey behind it. "Our research reveals interesting trends in the workplace" works on no one.

Write the headline as the journalist's headline, not yours. If you cannot imagine the stat sitting at the top of a published article, it is not a headline stat — it is a bullet point. Resist the urge to front-load the brand. The company gets its credit in the attribution line and the boilerplate, and that is enough. Coverage that names you in the headline is rare and usually means you paid for it.

The summary paragraph: context in three sentences

Under the headline, you get one short paragraph to frame the finding before the reader's patience runs out. Sentence one restates the headline stat with a touch more context. Sentence two gives the comparison or trend that makes it matter — versus last year, versus another group, versus what people assume. Sentence three points at the "so what": who is affected or what it implies.

That is the whole job. Do not summarise the entire study here. Do not list every secondary finding. The summary is a doorway, not a warehouse. If a journalist reads those three sentences and understands why the number is interesting, they will keep going. The discipline of choosing the framing is closely tied to how a data story is built in the first place — a release is only as clear as the story underneath it.

The method box: the trust signal that does the selling

This is the section amateurs skip and professionals obsess over. A short, boxed-off method statement is what separates a credible study from marketing noise. It tells the journalist they can run your stat without their editor asking where it came from. Put it visibly in the release — labelled, scannable, and honest.

A usable method box answers, in plain language: who you asked or what you measured, how many, when, and how the data was collected. For a survey that means sample size, the population, the fielding dates, and the provider or panel. For analysis of existing data it means the source, the date range, and what you did to it. A few lines is enough. You are not writing a methodology appendix; you are giving a reporter the half-sentence they will paste in: "according to a survey of 2,000 UK adults conducted in March 2026."

Three rules for the method box. First, never round your sample up or fudge the dates — a journalist who catches one inflated number stops trusting all of them. Second, state limitations you would want to know as a reader; an honest "self-reported" or "online panel" note costs you nothing and buys credibility. Third, if your method is genuinely thin, fix the study rather than dressing up the box. Good survey design is what makes the method box short and strong instead of defensive. The box is where the difference between earned and merely placed coverage starts to show, which is a distinction worth understanding on its own terms.

The quote: one human, one point

Most release quotes are useless because they say nothing a journalist would ever print. "We are excited to share these findings" is not a quote, it is a noise. A usable quote does one of two things: it interprets the headline stat ("this gap surprised us because every prior assumption said the opposite") or it adds a forward-looking implication the data alone cannot ("if this trend holds, the entire category rethinks pricing by next year").

Attribute it to one named person with a real title, ideally someone who can speak to the subject and is available for a follow-up call. Keep it to two sentences. Avoid stacking three quotes from three executives — reporters use one quote, maybe, and a wall of them reads like an internal sign-off process leaked into the release. Write the quote the way a person actually talks, then cut the corporate qualifiers. If you would be embarrassed to say it out loud at a dinner, do not put it in quotation marks.

The assets block: make their job effortless

The releases that get covered are the ones that hand the journalist everything they need to publish without emailing you back. That is the entire function of the assets block, and it is where a data study earns its keep. List, clearly, what is available and where to get it.

• The headline chart as a clean image file, plus a link to the underlying data table.
• Two or three secondary stats the reporter can use as supporting points without rerunning your analysis.
• A link to the full methodology for anyone who wants to verify.
• High-resolution graphics and any spokesperson headshots, if relevant.
• A clear line on whether the data is embargoed, exclusive, or free to use, and a direct contact for questions.

The chart matters more than people think. A journalist who can drop your visual straight into their piece is a journalist who covers you faster and credits you in the caption. That means the chart has to be readable at a glance, labelled without jargon, and built for someone else's audience rather than your internal deck. How you handle that visual work — designing data so a newsroom can actually use it without rebuilding your chart — often decides whether the assets block does its job. The rest of the block is logistics, but logistics is where coverage is won or lost. A reporter on deadline rewards the release that respects their time.

What to cut, and the order that works

Now the subtractions, because most release drafts are too long. Cut the boilerplate from the top — it belongs at the bottom in a single short paragraph. Cut adjectives like "leading," "innovative," and "game-changing"; they signal marketing and switch off the editorial part of a reporter's brain. Cut any stat that needs three sentences of setup to land. Cut the second and third quotes. Cut the phrase "we are pleased to announce." Every sentence that is not advancing the story is competing with the story.

The order I default to is simple: headline stat, summary paragraph, method box, quote, two or three supporting findings, assets block, short boilerplate, contact. That sequence front-loads everything a journalist decides on and back-loads everything they only need once they have decided yes. You can flex it, but the logic holds — interest first, proof second, logistics last.

Subject line and email frame: the release behind the release

Most data studies travel by email, and the release itself is never seen until the subject line earns the open. So the format does not start at the headline stat — it starts one layer earlier, in the inbox. The subject line is the headline stat compressed further, stripped of the brand, and written as a fact rather than an announcement. "62% of remote workers have never met their manager" is a subject line. "PRESSFOLD releases new remote-work study" is a delete.

The first lines of the email body matter almost as much, because most reporters preview them without opening. Lead with the same number, then a single sentence of why it is surprising, then a clear offer: full study, chart, and a spokesperson available today. Keep the email itself short and put the formatted release below or behind a link. A wall of release text pasted into a cold email reads as effort aimed at you, not at the reporter. The release format is the proof; the email frame is the invitation. Get the invitation wrong and the perfectly structured release never gets read.

Common format failures, and how to spot them

After reviewing hundreds of these, the failure modes are repetitive enough to list. Run your draft against them before you send.

1. The headline names the company instead of the finding. If the brand appears before the number, rewrite it.
2. The stat is real but unsurprising — it confirms what everyone already assumed. A true number that teaches nobody anything is not a story.
3. The method box is missing, vague, or buried. If a reporter cannot tell you the sample size in five seconds, neither can their editor.
4. The quote says "excited" or "pleased" and nothing else. Cut it or replace it with a real interpretation.
5. There is no chart and no link to the data. You have asked the reporter to do the work you should have done.
6. The release runs past one screen of scrolling before the assets appear. Length is competing with the story.

None of these are exotic. They are the default state of a release that was written to satisfy an internal approval chain rather than to serve a busy reporter. The fix is almost always subtraction and reordering, not more words. When a draft fails two or more of these tests, the problem is rarely the data — it is that the format is working against the data instead of for it.

One last point about the format. A release is not the story; it is the offer of a story. The journalist still has to write something their readers care about. Your job is to make the yes as easy as possible: a number they cannot ignore, a method they can trust, a quote they can use, and assets that let them ship today. Everything in this template serves that single goal. When a release stops feeling like an announcement and starts feeling like a gift to a busy reporter, the response rate tells you immediately. Build it that way, send it to the right people, and the format does the persuading for you. Keep a copy of this structure beside you when you draft, run the failure checklist before you send, and over time the discipline stops feeling like a template and starts feeling like the obvious way to package a number worth printing.