Video Marketing Strategy Examples: Three Software Companies, Three Different Plans, One Method
The same scoring method produces very different plans depending on where your cost sits. Three worked examples — an infrastructure vendor, a SaaS on a monthly release train, and a hardware company selling through partners — each with a ninety-day plan.
Strategy examples are useful when they show the reasoning, not the output. Copying another company's video plan is how you end up making their videos for your product.
These three are composites, drawn from the shapes software companies actually come in rather than from named customers. What they share is the method: inventory the tasks, score them on search demand and support load, and let the ranking decide. What differs is where each company's cost sits, and that changes everything downstream.
Company A: the infrastructure vendor, drowning in tickets
On-prem backup and storage software. Roughly 140 tasks. Four supported platforms. English and German. A small team, a large and vocal support queue.
The helpdesk export settles it immediately: restore-related tickets are 31% of volume, and the restore documentation page is the second most visited page on the site. Both signals agree, which is rare and worth acting on without further debate.
- Days 1–10: inventory and score. Half of it comes straight from the docs table of contents.
- Days 11–40: six restore tasks recorded live, English with German captions, guides and troubleshooting notes with each. Linked from support macros the day they publish.
- Days 41–60: four install and upgrade paths, which are the second ticket cluster.
- Days 61–90: two integration proofs against the platforms customers ask about most, then the release refresh added to the ship checklist.
Sixteen videos, covering roughly half the support volume. The measurement that funds the next batch is simple: how many times support linked each video instead of writing the answer again.
Company B: the SaaS shipping every two weeks
Project management SaaS, self-serve and sales-assisted. Around 90 tasks, one platform plus a mobile app, English only. Small support load because the product is forgiving, but a fast release train that makes every recording stale within a quarter.
Here the ticket export is thin and the constraint is decay, not volume. Scoring by support load would produce almost nothing, so search demand and the sales team carry the ranking.
- Days 1–7: inventory, plus a conversation with two sales engineers about where deals stall. Permissions and the API integration come up in both.
- Days 8–30: the two evaluation blockers recorded first, because they shorten cycles rather than deflect tickets.
- Days 31–60: eight onboarding tasks covering the first week of use, cut as a series and sent on a schedule.
- Days 61–90: the release process itself. A release video on the ship checklist, and the version-tag mechanism live so the library stops decaying.
For this company the mechanism matters more than the twelfth video. Without it, a year of recordings quietly becomes a year of misinformation.
Company C: hardware, sold through partners
Network appliances with a management interface. Around 60 software tasks plus physical setup. Sold almost entirely through resellers, in five languages.
The cost here is neither tickets nor decay. It is that forty partners each give a different demo, and the good one exists only in the head of one sales engineer.
- Days 1–14: agree the canonical demo path with sales engineering. This is the actual bottleneck and it is a political conversation, not a content one.
- Days 15–45: the eight-minute partner demo recorded once, narrated in all five languages from that single run, with a one-page click path beside it.
- Days 46–70: initial hardware setup, rendered from the run log and photographs, because a camera in a rack proves nothing.
- Days 71–90: the three tasks partners most often get wrong in the field, recorded live.
Note the mode split: live where a screen can be reached, rendered where the work is physical. Deciding that per task rather than per programme is what keeps the hardware pieces honest.
What the three have in common
- The first ten videos were chosen by measurement, not by intuition, and in all three cases they were not what marketing would have picked.
- Every plan ends with the refresh mechanism going live, because coverage without maintenance is a snapshot.
- None of them started with a brand film.
- All three are one spreadsheet, one row per task.
The method is identical. The plans look nothing alike, because the method is a way of finding your own constraint rather than a template to copy.
The scoring itself is in video content strategy for software companies, and the sheet is in the plan template.
Whichever shape you are, it starts the same way. Send one task; the first sample is free.
$ get-sample →