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article 12 Sept 2026 · 4 min read

Does Video Marketing Work for Software Companies? What Can Be Measured, What Can't, and What to Ignore

A straight answer with the caveats attached: one thing is cleanly measurable, two are measurable with effort, and the industry statistics everyone quotes are mostly unusable. Including what we can and cannot claim ourselves.

The honest answer is that one kind of software video has a clean, provable return, another kind has a real but hard-to-attribute effect, and a third kind is mostly unmeasurable and is bought on faith. Most articles on this question blur the three together and quote a survey.

Start with the statistics problem, because it is why this question is hard to answer from the internet.

Why the industry numbers are close to useless

The figures that circulate — some large percentage of marketers report video increasing something — share three defects. They are self-reported by marketers about their own work, they are usually published by companies selling video tools, and they almost never separate B2B software from consumer retail, where video behaves completely differently.

None of that makes them false. It makes them unusable as a basis for your decision, because you cannot tell whether the effect would appear in your business. Measure your own instead; it is cheaper than it sounds.

The one thing that measures cleanly: ticket deflection

If a video answers a question your support team currently answers by hand, the return is countable and the number arrives within weeks.

  • Count how many tickets carried that tag last quarter.
  • Publish the walkthrough and put the link in the support macro.
  • Count how many times the macro fires over the next month, and how many of those close without a follow-up reply.

A link that closes a ticket saves whatever an agent reply costs you, every time, forever. That is the number worth putting in front of whoever controls the budget, because it comes from a system you already run and nobody has to believe an attribution model.

The strongest business case for product video is not a conversion rate. It is a support macro that fires forty times a month.

The two that measure with effort

**Sales cycle friction.** Ask sales engineers which questions stall deals, record those, and then ask again a quarter later. It is qualitative and it is slow, but the signal is real and the people answering are the ones who feel the change.

**Organic reach on task-shaped queries.** A walkthrough page targeting "how to [task] in [product]" competes against the vendor's own docs, which usually have no video and no troubleshooting section. Search Console will show impressions and position on those queries within about eight weeks. This is measurable, just not immediately.

What does not measure, and should be bought accordingly

Brand films, homepage hero videos and conference sizzle reels. There is no clean way to attribute a purchase to a ninety-second abstract film, and constructing one usually means building a model that assumes the answer.

That does not make them worthless. It makes them a judgement call rather than an investment with a return, and they should be approved on that basis rather than defended with a survey statistic.

What we can and cannot claim about our own results

This site is new. There is no longitudinal data behind it yet, and a page arguing for evidence would be a poor place to invent some.

What we can say is structural rather than statistical, and checkable: a walkthrough that documents its failures answers the query people actually type, because the error string is what gets searched. A page carrying the written guide alongside the video is legible to search engines and language models, which the video alone is not. And a video bound to a version tag can be re-run when the product changes, which is the only mechanism we know of that stops a library quietly going stale.

Whether those properties produce revenue at your company is exactly what the deflection measurement above will tell you, in about a month, for the cost of one afternoon.

How to run the test properly

  • Pick the single highest-volume support question. Record it. One afternoon.
  • Baseline first: tickets on that tag last quarter, and current organic impressions for the docs page covering it.
  • Publish, link it from the macro and embed it in the docs page.
  • Wait thirty days, then compare. Deflection shows up fast; search shows up around week eight.
  • If the number is unconvincing, stop. That is a legitimate outcome and you spent one afternoon finding it out.

That last point is the part missing from most advocacy for video. The test is cheap enough that you do not need to be persuaded in advance, and a negative result at your company is more useful than a positive statistic from someone else's.

The recording process is in how to make a marketing video for a software product; the sequencing method is in video content strategy for software companies.

Run the test without spending the afternoon. The first sample is free.

$ get-sample →