Back-Office Gold: Finding Pitchable News in the Numbers You Already Keep

Most UK SMEs assume a data-led story starts with a research budget, a survey firm and a spreadsheet full of weighted averages. It rarely does. Some of the most useful coverage comes from the numbers you already generate: invoices, enquiries, stock movements, hiring records, supplier emails and the slightly chaotic notes your operations team keeps in a shared folder.

The trick is not having data. It is knowing which number answers a question someone else is already asking. At Rave, we call that cutting through the noise — and it usually starts in the back office, not the boardroom.

Start with a question, not a spreadsheet

Journalists do not wake up desperate to see your sales graph. They want evidence of change. Costs are shifting. Customer behaviour is moving. A local market is doing something odd. A trade is quietly reshaping itself.

So begin with a question: what has changed in our business that might mirror a wider story? Average order value? Lead times? Enquiries from a particular postcode? The number of people we have hired versus the number we expected to hire? Once you have a question, the data has a job to do.

Four data seams most SMEs already have

You do not need to publish everything. You need one clean seam of evidence.

• Sales and enquiries: product mix, channel mix, quote-to-close ratios, cancellation reasons, time from first contact to purchase.
• Customer behaviour: repeat purchase cycles, seasonal spikes, common service questions, returns and repair patterns.
• People and operations: vacancies, time-to-hire, shift patterns, training hours, subcontractor rates, overtime.
• Supply chain and costs: supplier price changes, lead times, stockouts, delivery distances, packaging costs.

None of this sounds glamorous. That is fine. Glamour is not the brief. Credibility is.

Turn a metric into a headline

A number on its own is not a story. A number with a comparison, a place and a consequence is. Compare this month with the same month a year earlier, this quarter with last quarter, or one branch with another. Localise it. Humanise it.

For example, “average repair turnaround has risen from 3.2 days to 4.8 days since spring” is more useful than “efficiency is down 33%”. The first gives a journalist something concrete to check and explain. The second sounds like a dodgy statistic in a press release.

The dodgy-statistics trap

Small samples are where otherwise sensible businesses lose the plot. Twelve customers is not a trend. A handful of enquiries from one town is not a regional shift. If your base is tiny, use whole numbers and show the denominator: “8 of 20 customers” rather than “40% of customers”.

Do not imply causation when you only have correlation. Separate what you see from what you think it means. And include a plain-English method note: where the data comes from, what period it covers and what it does not represent. Internal operational data is not a nationally representative survey, and saying so will make you more credible, not less. Journalists are quick to spot a stat dressed up as something bigger. They are also quick to appreciate a business that knows the difference.

Package it for the desk it is going to

A regional business desk wants a local angle, a named town, a human quote and a photo. A trade title wants operational detail, peer benchmarks and enough specificity that readers in the sector recognise the problem. A national outlet needs a wider shift, a consumer consequence and a strong case study.

Do not send the same pitch to all three. Adjust the first paragraph. A regional reporter may care that your Birmingham workshop is seeing longer supplier lead times. A trade journalist may care why that is happening to repair businesses across the UK. A national reporter may care what it means for customers waiting weeks longer than expected.

A simple pitch skeleton

Subject line: [Local area or trade] data: [specific change] in [time period]

First paragraph: one sentence with the finding, the number and the comparison.

Second paragraph: why it matters to their readers.

Third paragraph: method in plain English.

Fourth paragraph: quote availability, photo and any case study you can offer.

Attachment: a one-page table, not forty tabs and a chart with no labels.

When the numbers look dull

Look for a pattern rather than a headline. An unusual customer request. A repeat repair. A seasonal staffing gap. A supplier lead time that has crept up. Combine two datasets — enquiries plus cancellations, or hiring plus overtime — and you often find a more interesting story than either dataset tells alone.

You can also use internal data as supporting evidence for an opinion piece. “Here is what we are seeing, and here is what we think it means” is a perfectly good media relations play, provided you are clear about which part is evidence and which part is interpretation.

The quiet advantage

Keep a monthly note. Date every figure. Save the source. Build a twelve-month baseline so you can say something useful when a news story breaks and a journalist needs a real-world example.

The story is rarely the spreadsheet itself. It is the change the spreadsheet reveals, the place it happens and the person who can explain it. If you can show a journalist a credible number and a human consequence, you are already ahead of the noise.