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The statistic angle

One number, given the whole frame. The statistic angle works when the figure is surprising, verifiable, and about the viewer's situation rather than your company's success — and it fails completely the moment the number cannot be sourced.

A single figure with its source on screen, rendered portrait for feed placements.

A single dominant number is the most compressible argument available. It survives being seen for one second on a muted feed, it is repeatable by someone describing your product to a colleague, and it gives a sceptical viewer something concrete to either accept or check.

That checkability cuts both ways. Every number in a marketing video is an invitation to verify, and an unsourced figure is treated by exactly the audience you want as evidence that it was chosen rather than measured. Put the source on screen. If you cannot source it, the angle is not available to you — this is the one place where the honest move is to pick a different angle entirely rather than soften the claim.

The best statistics are about the viewer's world, not your traction. "Teams check three tools before answering one question" describes their Tuesday. "We grew 300% last year" describes yours, and nobody outside the company has ever been moved by it.

When this angle works

  • You have one genuinely surprising, sourceable number
  • The figure describes the viewer's situation rather than your company milestones
  • You are competing for attention in a feed where a number stops the scroll
  • The number can be shown on screen with its source without crowding the frame

When to use something else

  • The number is unsourceable, estimated, or extrapolated from a sample you would not want to describe out loud
  • It is a vanity metric — funding, headcount, growth rate — which is about you and interests nobody else
  • The figure needs three caveats to be accurate, which means the format cannot hold it honestly

Script structure

How to build the script

Each beat has a job. Keep the order, replace the examples with your own product and your own numbers.

  1. Beat 01

    The number, alone

    Give it the frame with nothing competing. This is the only beat that has to work at a glance.

    3 tools. One question.

  2. Beat 02

    What it measures

    Say precisely what was counted, so the viewer knows what they are agreeing to.

    What an average team opens before answering a customer.

  3. Beat 03

    The source, on screen

    Attribution, visible. An unsourced statistic is a claim wearing a costume.

    Internal usage data, Q2, 240 workspaces.

  4. Beat 04

    So what

    Connect the figure to the decision. A number without a consequence is trivia.

    Which is why the answer takes nine minutes instead of one.

What it looks like for a SaaS product

Product categories rather than real companies — we do not invent customers, and neither should your script.

An internal search tool

Nine minutes to answer a question someone already answered.

About the viewer's day, with an obvious consequence attached.

A performance monitoring service

400ms. That is where your conversion starts dropping.

One threshold that changes a decision, not a growth statistic.

A localisation platform

Seventy percent of your installs are outside your default language.

Surprising, checkable in the viewer's own dashboard, immediately actionable.

Questions about this angle

What makes a statistic strong enough to carry a whole video?

Three properties at once: it surprises, it can be sourced on screen, and it describes the viewer's situation rather than your company. Drop any one and the number stops doing work — an unsurprising figure is filler, an unsourced one is a liability, and one about your own growth is for your investors.

Can we use an industry report we did not produce?

Yes, cited by name and year on screen. Third-party sourcing is often stronger than internal data because the viewer does not have to trust you for it. What you cannot do is quote a number whose original source you have not actually read.

What if our only real numbers are small?

Small and specific beats large and vague. "Eleven teams switched last month" is checkable and human; "thousands of users" is the sentence people write when the real number is disappointing, and readers know it.

Get this angle for your own product

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