
Co-founder of Yum Yum Videos | Explainer Video & Video Marketing Expert

An explainer video can look successful long before it pays for itself. It can get views, strong watch time, and positive feedback while still being difficult to connect to revenue. The opposite happens too. A video with modest traffic can create real value if it shortens sales conversations, converts expensive traffic, reduces support work, or helps a high value buyer understand the product faster.
That is the real challenge with explainer video ROI. The formula is easy. Attribution is the hard part.
After more than 1,000 video projects, I have found that the biggest measurement mistake usually happens before analytics. Teams publish a video without deciding what business outcome it is supposed to influence. Once that happens, views become the default metric even when views were never the goal.
This guide shows how to measure video marketing ROI, calculate the return on video production, choose the right metrics, and prove the result without claiming more than the data supports. I will also show where an explainer fits into the measurement process from the perspective of an explainer video agency.
Table of Contents
Explainer Video ROI (%) = Monetary Gain Attributed to the Video minus Total Video Investment, divided by Total Video Investment, multiplied by 100.
The difficult part is deciding what counts as monetary gain and how much of that gain can reasonably be attributed to the video.
Explainer video ROI measures the financial return generated by an explainer video relative to the money invested in creating and distributing it.
If a video costs $20,000 in total and produces $40,000 in attributable monetary gain, the investment created $20,000 above its cost. The ROI is 100%.
That sounds simple because the math is simple. The difficult question is whether the $40,000 truly belongs to the video.
A prospect may watch an explainer, read three articles, attend a demo, speak with sales, and sign two months later. A support customer may watch a tutorial and never open a ticket. A landing page may convert better after a video is added, but traffic quality may also have changed.
Good video ROI measurement accounts for those complications instead of assigning every downstream result to the video automatically.
Video performance and video marketing ROI are related, but they answer different questions.
| Metric type | Examples | What it tells you |
|---|---|---|
| Reach | Views, plays, impressions | How many people encountered the video |
| Engagement | Watch time, completion rate, retention | How much of the video people consumed |
| Action | Clicks, form submissions, demo requests, trial starts | What viewers did after watching |
| Financial | Attributed profit, revenue, pipeline, cost savings | The monetary value connected to the video |
A high completion rate can be useful evidence that the content holds attention. It is still not ROI by itself.
The same distinction matters when comparing explainer video examples. A video can be creatively strong, widely viewed, and valuable to a brand without having a clean revenue attribution model.
Start with the business job of the video. The measurement plan becomes much easier once the outcome is defined.
| Video job | Primary business metric | Supporting video metrics |
|---|---|---|
| Lead generation | Qualified leads, pipeline, customer profit | CTA clicks, form completions, completion rate |
| Product education | Demo conversion, sales cycle length, close rate | Watch time, product page engagement |
| Customer onboarding | Activation, support savings, time to value | Completion, repeat views |
| Support | Tickets avoided, support cost saved | Views on support pages, watch completion |
| Brand awareness | Usually no direct ROI until a monetary outcome is linked | Reach, branded search, direct traffic, recall studies |
This is one reason the same explainer should not be judged the same way everywhere. A homepage video may support several touchpoints. A video embedded in a paid campaign can have cleaner attribution. A support explainer may create value almost entirely through cost savings.
For a useful ROI calculation, include the full investment connected to the video.
Suppose production costs $15,000, promotion costs $2,000, and internal team time is valued at $2,000. The total investment is $19,000.
If you are still estimating production before the ROI model is built, our guide to explainer video cost breaks down the main pricing variables.
Use a result that can be expressed in money and connected to the video with a defensible method.
If the video contributes to customer acquisition, contribution profit is often more useful than raw revenue because it accounts for the economics of each sale.
For example, if customers attributed to the video generate $34,000 in contribution profit, that amount can enter the ROI calculation.
B2B teams may want to measure influenced pipeline before closed revenue is available.
Pipeline is useful for campaign management, but I would avoid calling the entire pipeline amount ROI. A $500,000 opportunity does not equal $500,000 of return. Use closed results when possible, or apply a documented probability model and label the result clearly.
A video can create return by reducing work instead of increasing sales.
If a support interaction costs $30 and a new explainer reduces 200 interactions that would otherwise have required staff time, the estimated saving is $6,000.
Customer and employee videos can reduce repeated live explanations, shorten training sessions, or speed up onboarding.
The saved hours can be converted into a monetary figure using the relevant labor cost. The assumptions should be documented so another person can reproduce the calculation.
Attribution determines how much credit the video receives.
This is the cleanest case. A viewer watches a video, clicks a tracked CTA, submits a form, and converts through a measurable path.
The video receives credit because it was the first or final recorded marketing interaction.
This method is easy to report, but it can hide other content or sales interactions that contributed to the conversion.
Credit is shared across several interactions in the journey.
This is often more realistic for B2B sales, where an explainer may help the buyer understand the product before later conversations move the deal forward.
When possible, compare two similar groups or landing page variants, with one exposed to the video and one without it. A clean experiment can produce stronger evidence than a broad attribution model.
For SaaS products, tracked demo requests and trials can be particularly useful. Our SaaS explainer video examples show how product explanation changes depending on the complexity of the software and the stage of the buyer.
Use the same $19,000 total investment from the earlier example.
ROI = 40,000 minus 19,000, divided by 19,000, multiplied by 100.
The resulting explainer video ROI is approximately 111%.
In this example, the investment returned its original cost plus about $1.11 of additional value for every dollar invested.
The important part is not the percentage itself. The quality of the attribution and the assumptions behind the $40,000 matter more than a large number on a report.
Build the evidence trail before the campaign starts.
This process also makes the report easier to defend internally. A finance or sales leader can review the assumptions instead of being asked to accept a marketing claim.
MedVector is useful here because it shows the difference between a strong business milestone and a directly calculated ROI figure.
Between 2018 and 2021, MedVector worked with us on three whiteboard explainer videos that helped explain its telemedicine based clinical trial model. During that broader period, MedVector secured $3.5 million in funding while using video as a primary communication asset on a focused landing page.
The funding belongs to MedVector. It would be inaccurate to divide the $3.5 million by the production cost and call that the ROI of the videos. Investors evaluate the company, team, opportunity, traction, economics, and many other factors.
The case still provides useful evidence. The videos were used during fundraising to explain a difficult product model, and the company continued using video across several years. That is business context, not a controlled ROI calculation.
The full MedVector case study shows the project history. Our explainer video case studies guide includes other examples where direct video metrics and company milestones are labeled separately.
These metrics show whether viewers stay with the explanation. They are most useful when compared with conversion or behavior after the video.
If the video is expected to move someone to the next step, measure the percentage of viewers who take that action.
For SaaS and B2B products, these can be stronger signals than raw views because they sit closer to revenue.
If the explainer is used by sales, compare how long similar opportunities take to move through the funnel with and without the video.
Measure the volume and cost of the relevant support issue before and after the explainer is introduced.
If a landing page receives enough traffic, compare conversion with a controlled test or a carefully chosen before and after period.
You do not need one platform to do everything. Most teams combine video analytics with web analytics and CRM data.
The exact stack matters less than the connection between exposure, action, and monetary outcome.
A video written for brand awareness will look different from one written to increase demos or reduce support.
The measurement goal should influence the message, CTA, placement, and runtime before production begins.
A crowded script makes measurement harder because the viewer receives several competing messages.
Our guide to the explainer video script goes deeper into how to structure the problem, explanation, and next action.
A strong explainer hidden on a low traffic page has little opportunity to influence anything.
Place the video where the intended audience is already making the relevant decision, such as a product page, sales deck, campaign landing page, onboarding flow, or support resource.
A $50 ecommerce purchase and a six month enterprise sale need different attribution windows.
Choose a measurement period that reflects the actual buying cycle.
Explainer videos often create value across the homepage, sales presentations, email, paid campaigns, events, and onboarding.
Reusing the same asset can improve ROI because the production cost stays fixed while the number of useful applications grows.
Add the full cost of production and distribution, calculate the monetary gain reasonably attributed to the video, subtract the investment from that gain, divide by the investment, and multiply by 100.
There is no universal percentage that makes sense for every company. A useful target depends on margin, customer value, sales cycle, campaign risk, and what the business could earn from other investments.
Track who was exposed to the video, what action followed, what monetary result came from that action, and how much credit the video receives under a predefined attribution model.
Yes. Cost savings, support reduction, onboarding efficiency, influenced pipeline, and other outcomes can be converted into monetary value when the assumptions are documented.
No. Conversion rate measures the percentage of people who take an action. ROI compares monetary gain with the total investment.
Return on investment for videos should be based on a monetary outcome that can be connected to the asset with a documented method. That may be customer profit, attributable revenue, support savings, training savings, or another economic result. Views and watch time can support the analysis, but they are performance metrics until they are linked to monetary value.
Views can help explain reach and engagement, but they do not have a monetary value unless you have a defensible model connecting them to an economic outcome.
Before the video goes live, write down five things:
If those five answers exist before launch, proving the return later becomes much easier.

Victor Blasco has over 25 years of experience in animation and film production. For the past 14+ years, he has worked with companies to create explainer and marketing videos that simplify complex ideas and drive business results.
His work has supported global brands like Amazon and McKesson, as well as startups that raised over $2B and reached unicorn or IPO stages.
Victor shares insights based on real client work. His contributions have been published on platforms like Social Media Examiner, and he has been featured or quoted in outlets such as Forbes.
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