100 Video Marketing Statistics for 2026 Planning

Video marketing statistics can help you allocate budget - or convince you to fund content nobody needs. The difference is whether you understand what each number measures. This guide gives business owners and marketing leaders 100 clearly labeled data points for 2026 planning: 60 published historical statistics and 40 illustrative operating calculations. The historical figures are not presented as newly collected 2026 research, and the calculations are not industry benchmarks. Use the evidence to understand adoption and audience behavior, then use the math to pressure-test your own production costs, distribution plan, and pipeline targets.

A survey saying marketers get positive ROI from video does not tell you their average return, production cost, attribution method, or sales cycle. It tells you what respondents reported. That is useful directional evidence, but it is not a forecast for your company.

The published figures below come from historical editions of Wyzowl's State of Video Marketing research and named Pew Research Center studies. Wyzowl's annual page changes as new editions appear; consult the corresponding historical report when quoting an older figure. Pew's adult and teen findings describe US audiences, not global buyers or business decision-makers.

Keep three distinctions visible in your planning document: the publication year, the surveyed population, and the measurement type. Marketer opinions, consumer recollections, platform usage, and tracked purchases are different kinds of evidence. Mixing them creates impressive-looking presentations and unreliable budgets.

Statistics 1–60 are published historical findings. Data points 61–100 are explicitly hypothetical calculations with their assumptions shown. Those calculations help answer the practical question: what would video need to deliver for your business to justify the spend?

Wyzowl's historical adoption series shows video moving from a common tactic to a broadly established marketing format. These percentages refer to businesses reporting that they use video as a marketing tool in the respective survey editions.

1. 2016: 61% of businesses reported using video marketing.
2. 2017: 63% reported using video marketing.
3. 2018: 81% reported using video marketing.
4. 2019: 87% reported using video marketing.
5. 2020: 85% reported using video marketing.
6. 2021: 86% reported using video marketing.
7. 2022: 86% reported using video marketing.
8. 2023: 91% reported using video marketing.
9. 2024: 91% reported using video marketing.

The useful conclusion is not that every business needs a production department. It is that video is an established option buyers may encounter while researching suppliers. Depending on your market, a product walkthrough or credible customer explanation may be more useful than another polished brand montage.

Do not treat this series as a controlled study following the same businesses every year. Survey composition can change. The pattern supports testing video; it does not establish that adopting video causes growth, or that businesses without it are automatically underperforming.

The 2023 edition provides a useful historical view of marketer sentiment and consumer preferences. The first nine findings below describe video marketers. The consumer findings and non-user planning figure involve different respondent groups, so keep those denominators separate.

10. 96% of video marketers said video was an important part of their marketing strategy.
11. 92% said video gave them a good return on investment.
12. 96% said video helped increase user understanding of their product or service.
13. 95% said video helped increase brand awareness.
14. 91% said video helped increase website traffic.
15. 87% said video helped increase time spent on their website.
16. 90% said video helped generate leads.
17. 87% said video helped increase sales.
18. 53% said video helped reduce support queries.
19. 96% of consumers said they had watched an explainer video to learn about a product or service.
20. 89% said watching a video had convinced them to buy a product or service.
21. 79% said watching a video had convinced them to buy software or an app.
22. 91% said they wanted to see more online videos from brands.
23. 51% said they were more likely to share video with friends than another content type.
24. 70% of marketers not using video said they planned to start in 2023.

Understanding is the most actionable theme here. If prospects repeatedly misunderstand your implementation process, pricing structure, product limitations, or use cases, video can answer those questions before a sales call. That creates a specific job for the asset instead of a vague instruction to increase engagement.

The buying figures require extra care. A respondent remembering that a video influenced a purchase is not the same as an experiment proving incremental sales. Use these findings to justify investigating video in the buying journey, not to claim that a fixed percentage of viewers will become customers.

For a B2B company, start with the questions sales hears every week. Record an honest answer, place it where the question arises, and measure the next action. A straightforward demonstration can be more commercially useful than an expensive video that never addresses a buying objection.

Earlier findings are useful context, particularly when someone presents a familiar statistic as a fresh trend. Statistics 25–37 below come from Wyzowl's 2022 edition. Statistic 38 comes from its 2023 edition.

25. In 2022, 92% of video marketers said video was an important part of their strategy.
26. 87% said video gave them a positive ROI.
27. 94% said video helped increase understanding of their product or service.
28. 87% said video helped increase website traffic.
29. 82% said video helped increase time spent on their website.
30. 86% said video helped generate leads.
31. 81% said video helped increase sales.
32. 49% said video helped reduce support calls.
33. 96% of consumers said they had watched an explainer video to learn about a product or service.
34. 88% said a brand's video had convinced them to buy a product or service.
35. 78% said a video had convinced them to buy software or an app.
36. 88% said they wanted to see more video from brands.
37. Consumers reported watching an average of 19 hours of online video per week.
38. In the 2023 edition, consumers reported an average of 17 hours of online video per week.

More viewing time does not automatically mean more commercial attention is available to your business. Entertainment, education, creator content, and purchase research all compete for it. A useful business video needs a reason to exist beyond the general popularity of the format.

Do not use the viewing-time difference to announce a definitive decline in video demand. These are self-reported estimates from separate editions, not a continuous measurement of the same individuals. For budgeting, your qualified audience's actual behavior matters more than a broad average.

There is also a useful cost-saving implication in the support findings. Video does not have to acquire a new customer to create value. A clear onboarding explanation may reduce repetitive questions, although you should measure whether support demand actually changes after publishing it.

Two findings from Wyzowl's 2024 edition illustrate a distinction that often disappears in video marketing summaries: marketers can consider a channel important without measuring its financial contribution consistently.

39. 90% of video marketers said video gave them a good return on investment.
40. 88% said video was an important part of their overall strategy.

Neither percentage tells you whether respondents counted revenue, leads, views, engagement, or another outcome when judging success. A high share reporting positive ROI is not an average ROI multiple. It certainly does not mean your next production budget will return a predictable amount.

Before approving spend, write down the evaluation rule. For acquisition content, that might be cost per qualified opportunity. For onboarding content, it might be support cost per activated customer. For an explanatory product video, it might be a tested change in demo requests among eligible visitors.

Pew Research Center's Americans' Social Media Use report, published in January 2024 using a 2023 survey, provides another kind of evidence: reported platform use among US adults. These are not video advertising conversion rates.

41. 83% of US adults reported using YouTube.
42. 68% reported using Facebook.
43. 47% reported using Instagram.
44. 33% reported using TikTok.
45. 27% reported using Snapchat.
46. 93% of adults ages 18–29 reported using YouTube.
47. 92% of adults ages 30–49 reported using YouTube.
48. 83% of adults ages 50–64 reported using YouTube.
49. 60% of adults age 65 and older reported using YouTube.
50. 62% of adults ages 18–29 reported using TikTok.

YouTube's broad age distribution makes it worth evaluating for searchable explanations and demonstrations. That does not make every audience equally reachable or equally likely to buy. Someone using YouTube for entertainment may never encounter your product category there.

Instagram, Facebook, TikTok, and Snapchat usage should also be interpreted carefully. Platform use includes activities other than watching business videos. Choose distribution based on customer behavior, search demand, creative fit, and measurable next steps - not audience size alone.

For B2B, ask existing customers where they looked for answers before purchasing. Combine those interviews with referral data and sales feedback. Ten relevant customer conversations can expose a distribution opportunity that a national platform average cannot.

Pew Research Center's Teens, Social Media and Technology 2024 report surveyed US teens ages 13–17. These findings are relevant to age-appropriate consumer categories and longer-term audience research, not a shortcut to understanding B2B purchasing.

51. 90% of US teens reported using YouTube.
52. 63% reported using TikTok.
53. 61% reported using Instagram.
54. 55% reported using Snapchat.
55. 32% reported using Facebook.
56. 73% reported using YouTube daily.
57. 57% reported using TikTok daily.
58. 50% reported using Instagram daily.
59. 48% reported using Snapchat daily.
60. 20% reported using Facebook daily.

Usage and daily usage answer different questions. The first shows how broadly a platform reaches this population; the second indicates habitual use. Neither tells you that a particular creative format will perform, or that frequent exposure will translate into profitable demand.

If your customers are adult business buyers, do not use teen behavior to justify a channel budget. If younger audiences are relevant, account for age-appropriate messaging, privacy requirements, platform advertising restrictions, and the distinction between users and actual purchasers.

The broader lesson is simple: audience evidence needs to match the buying population. A founder selling inventory software and an e-commerce brand selling consumer accessories should not receive the same video distribution plan just because both want growth.

The next 40 data points are calculations, not survey findings or promised outcomes. This first scenario assumes four source recording sessions per month, five usable clips per session, and a $3,000 monthly production budget. Change the assumptions to match your operation.

61. Four recording sessions producing five clips each create 20 clips per month.
62. A $3,000 production budget divided across 20 clips equals $150 per clip.
63. Four 45-minute recording sessions require three hours of recording time.
64. Preparing for 30 minutes per session adds two hours of preparation.
65. Editing 20 clips for 45 minutes each requires 15 editing hours.
66. Reviewing 20 clips for 10 minutes each requires three hours and 20 minutes.
67. Recording, preparation, editing, and review total 23 hours and 20 minutes.
68. Publishing 20 clips across four weeks averages five clips per week.
69. Creating three platform versions of each clip produces 60 files, not 60 original ideas.
70. Continuing at 20 clips per month produces 240 clips over 12 months.

This is why deliverable counts can be misleading. An offer promising dozens of assets may consist mostly of resized versions of a few recordings. Repurposing can be efficient, but ask how many distinct customer questions, demonstrations, or arguments the package actually covers.

At Anton Chisliuk · AI Marketing Ops, the operator model connects content with distribution, CRM, and measurement under one senior owner. Cleverence's growth from zero to 2,000 inbound leads per month is a marketing-operations proof point, not a video-specific result. The relevant lesson is to connect production with the systems that turn attention into measurable demand.

AI can help draft transcripts, identify clip candidates, produce caption drafts, and create initial edits. Keep human review on product claims, customer permissions, technical accuracy, and tone. Faster production is only useful when the output deserves to be published.

Assume a hypothetical paid video campaign spends $2,400 at a $24 CPM, generates a 1.2% click-through rate, converts 5% of clicks into leads, and converts 20% of those leads into qualified opportunities. These are chosen inputs, not recommended benchmarks.

71. $2,400 at a $24 CPM buys 100,000 impressions.
72. A 1.2% click-through rate on 100,000 impressions produces 1,200 clicks.
73. $2,400 divided by 1,200 clicks gives a $2 cost per click.
74. A 5% lead conversion rate on 1,200 clicks produces 60 leads.
75. $2,400 divided by 60 leads gives a $40 cost per lead.
76. A 20% opportunity rate on 60 leads produces 12 qualified opportunities.
77. $2,400 divided by 12 opportunities gives a $200 cost per opportunity.
78. A modeled 25% win rate on 12 opportunities produces three customers.
79. $2,400 divided by three customers gives an $800 media-only acquisition cost.
80. Adding $1,200 in creative costs increases acquisition cost to $1,200 per customer.

The final step is where many reports become too optimistic. Media-only acquisition cost excludes production, landing-page work, tracking, management, and potentially sales costs. Decide which costs belong in your metric, then apply that definition consistently.

A 25% modeled win rate also does not guarantee three customers from any particular group of 12 opportunities. Small samples are uneven, and deals may close months later. Treat the funnel as a planning model that needs real cohort data.

Your CRM and pipeline tracking should preserve campaign identifiers through lead creation and opportunity progression. Otherwise, you will know which video generated cheap clicks but not which one introduced buyers who became customers.

This scenario separates viewing behavior from buying behavior. Assume 2,000 eligible landing-page visits and, separately, a video with 1,000 starts. The calculations illustrate how to report changes without overstating what caused them.

81. A 3% conversion rate across 2,000 landing-page visits produces 60 conversions.
82. A 4% conversion rate across 2,000 visits produces 80 conversions.
83. Moving from 3% to 4% is an increase of one percentage point.
84. The same change is a 33.3% relative increase in conversion rate.
85. At that traffic volume, the difference is 20 conversions.
86. If each conversion is valued at an assumed $150 in contribution, 20 additional conversions represent $3,000.
87. If the intervention costs $1,500, that scenario leaves $1,500 after the intervention cost.
88. If 300 of 1,000 video starts reach completion, the completion rate is 30%.
89. If 200 of those 1,000 starts reach the halfway mark but not completion, 500 viewers reached at least halfway.
90. If 40 of the 1,000 starters click a tracked CTA, the starter-to-CTA click rate is 4%.

The conversion scenario does not prove video created the improvement. Traffic mix, seasonality, offers, page speed, and sales follow-up can all change results. A randomized test with adequate data is stronger evidence than comparing one month with the previous month.

Completion rate also needs context. A buyer may stop watching after getting the answer they needed. Another viewer may finish an entertaining clip without any commercial intent. Pair attention metrics with the asset's specific job and the next measurable action.

Keep denominators explicit. A click rate calculated from impressions differs from one calculated from video starts. Platforms may also define a view differently. Avoid combining incompatible metrics into a single dashboard average.

For this final calculation set, assume a video program costs $6,000 and each genuinely incremental customer produces $1,500 in contribution before marketing costs. Contribution here means revenue after the variable costs included in your model - not total contract value.

91. At $1,500 contribution per customer, a $6,000 program needs four incremental customers to break even.
92. With a modeled 20% opportunity-to-customer rate, four customers require 20 opportunities.
93. With a modeled 25% lead-to-opportunity rate, 20 opportunities require 80 leads.
94. $6,000 divided by 80 leads gives a $75 break-even cost per lead under these assumptions.
95. $6,000 divided by 20 opportunities gives a $300 break-even cost per opportunity.
96. At a modeled 4% visitor-to-lead rate, generating 80 leads requires 2,000 visitors.
97. $6,000 divided by 2,000 visitors gives a $3 blended program cost per visitor.
98. Six incremental customers would generate $9,000 in contribution.
99. $9,000 in contribution minus $6,000 in program cost leaves $3,000.
100. $3,000 divided by the $6,000 program cost gives a 50% contribution-based ROI.

Incremental is the critical word. If those customers would have purchased without the video program, counting their entire contribution as a video return overstates the result. Attribution records contact with marketing; incrementality asks whether marketing changed the outcome.

Cash timing matters too. Contribution expected over a year does not pay this month's production invoice. For a cash-constrained business, model payment schedules, refunds, retention, and the delay between first contact and collected revenue.

Run a downside case before approving the budget. What happens if the lead-to-opportunity rate is lower, editing takes longer, or the sales cycle doubles? A useful model makes those vulnerabilities visible before you commit.

Start With a Customer Question and a Business Outcome

Choose one problem rather than launching a company-wide video initiative. Perhaps prospects cannot understand the product without a call. Perhaps buyers repeatedly ask about implementation. Perhaps customers keep opening support tickets for the same setup task.

Give the first asset one job. A product demonstration can support qualified demo requests. A customer story can help buyers evaluate risk. An onboarding walkthrough can support activation. The format and distribution should follow that job.

Then define the baseline before publishing. Record current conversion, qualification, or support performance. Without a baseline, you can report activity but cannot meaningfully evaluate whether the new asset helped.

Choose DIY, a Specialist, an Agency, or an Operator Fairly

DIY makes sense when subject-matter expertise is internal, recording is straightforward, and somebody has time to own distribution and measurement. A freelance editor can improve consistency without adding a broad retainer. Both options still need an internal decision-maker.

An agency can be appropriate when you need substantial production capacity, specialized creative direction, or multiple concurrent campaigns. A fractional CMO can help set direction when the execution team already exists. Neither model is automatically wasteful; the question is whether the structure matches the work.

An operator is a practical option when the main gap is connecting strategy, content, paid distribution, CRM, and automation. Compare scope, accountability, and pricing rather than comparing retainers alone. A cheaper production package can become expensive if your team must supply all the planning and integration.

Use a Focused Pilot Before Expanding Production

A practical pilot might run for six to eight weeks when your traffic and sales cycle allow useful feedback. That is a planning suggestion, not a benchmark. A low-volume enterprise business may need longer to observe opportunity quality and much longer to observe revenue.

Prepare a small set of videos around one buying problem, distribute them through a limited number of channels, and review both quantitative results and sales feedback. Change the message or placement before assuming the solution is simply more content.

If your current reporting stops at views, assess the measurement gaps before commissioning another batch. Clear ownership of tracking, qualification, and follow-up will make the next production decision easier to defend.

The strongest takeaway from these video marketing statistics is not that you need more videos. Historical research shows widespread adoption, positive marketer sentiment, and substantial audience use of video platforms. None of that substitutes for your own unit economics.

Use the published findings to identify sensible opportunities and the illustrative calculations to test affordability. By Anton Chisliuk: the operator's priority is connecting a useful asset to distribution, a measurable next step, and a business result - not maximizing production volume.

Before increasing your video budget, identify where attention currently fails to become qualified demand. Start with a Growth Audit to assess that gap.

- Are these all newly published 2026 video marketing statistics?

No. This is a 2026 planning guide containing 60 explicitly dated historical findings and 40 illustrative calculations. The calculations are not research findings. Historical statistics retain their original years so readers can distinguish older evidence from current operating assumptions.

- What percentage of businesses use video marketing?

Wyzowl's 2024 edition reported that 91% of surveyed businesses used video as a marketing tool. That is a historical survey result, not a verified 2026 adoption rate or a census of all businesses.

- Does video marketing have a proven average ROI?

The figures cited here do not establish a universal average financial return. Marketers reporting positive ROI is different from a measured average ROI multiple. Calculate your own return using fully defined costs, attributable or incremental outcomes, and an appropriate measurement window.

- Which video metrics should a B2B company prioritize?

Prioritize metrics that match the asset's job: qualified demo requests, opportunity creation, opportunity progression, acquisition cost, or onboarding outcomes. Views and retention can explain content performance, but they should not replace pipeline and customer-quality measures.

- How much should a small business spend on video?

Work backward from customer contribution, realistic conversion assumptions, and the cost of producing a useful test. Include preparation, editing, review, distribution, and tracking. The budget examples in this article demonstrate the math; they are not market pricing benchmarks.

- Can AI replace a video marketing team?

AI can reduce work in transcription, captioning, initial editing, and repurposing. It does not remove the need for subject-matter expertise, customer consent, accurate claims, creative judgment, or measurement ownership. Decide which tasks to automate rather than assuming the whole function can run unattended.