Video Marketing Trends That Are Shifting Budgets

Video marketing trends in 2025 are less about new formats and more about a structural shift in how brands allocate spend, measure performance, and think about video’s role across the full customer experience. Short-form content has matured from experiment to default. Connected TV is pulling budgets that used to sit with linear. And AI-assisted production is compressing timelines in ways that are changing what’s possible for mid-market teams without agency support.

The brands getting the most from video right now are not necessarily the ones with the biggest production budgets. They are the ones who have figured out where video earns its place commercially, and where it is just expensive wallpaper.

Key Takeaways

  • Short-form video has moved from a social experiment to a primary acquisition channel for many brands, but the economics only work when content is built around a repeatable production model.
  • Connected TV is absorbing significant budget from linear TV and digital display, particularly for brands targeting high-income households where streaming penetration is highest.
  • AI-assisted production is reducing the cost of video iteration, not the cost of strategy. The thinking still has to come first.
  • Most video measurement is still too focused on views and engagement, and not focused enough on downstream commercial outcomes like pipeline contribution and revenue influence.
  • The brands outperforming on video are treating it as a channel system, not a series of one-off content pieces.

I have been watching video budgets shift for years. When I was running agency teams managing hundreds of millions in ad spend across 30 industries, video was often the channel clients wanted to invest in but struggled to justify commercially. The brief would come in, a production house would be hired, something expensive would be made, it would run for a quarter, and then everyone would move on. The problem was never the video. It was the absence of a system around it. If you want to understand how to build that system properly, the video marketing hub on The Marketing Juice covers the full picture.

Why Short-Form Video Has Become a Default, Not an Experiment

Short-form video is not new. What is new is that it has stopped being treated as a bolt-on to social strategy and started being treated as a primary acquisition channel in its own right. Brands that made that mental shift two or three years ago are now running short-form video with the same rigour they apply to paid search: defined audiences, structured testing, clear conversion goals, and a feedback loop that informs the next round of creative.

The platforms have made this easier. TikTok, Instagram Reels, and YouTube Shorts all have mature enough ad infrastructure now that you can run short-form video with proper audience targeting and performance tracking. The creative constraints, videos under 60 seconds, no production gloss required, have turned out to be an advantage rather than a limitation. Iteration speed is high. Cost per test is low. Feedback is fast.

The challenge most brands face is not production. It is volume. Short-form video requires a lot of content to find what works, and most marketing teams are not built for that output. The brands solving this are doing one of two things: building small in-house creator teams, or building a modular production approach where a single shoot generates 15 to 20 usable assets rather than one polished piece. That shift in production thinking is as important as any platform trend.

For anyone thinking about how short-form video fits into a broader channel mix, the question of choosing the right video marketing platforms is worth working through carefully before committing budget. Platform choice shapes content format, audience reach, and measurement options in ways that are hard to undo mid-campaign.

Connected TV Is Pulling Budget, and the Measurement Is Getting There

Connected TV has been the most significant structural shift in video advertising in the last three years. Linear TV viewership has declined steadily across most demographics, and streaming has absorbed that attention. What makes CTV commercially interesting is not just the audience size. It is the targeting capability. You can run CTV campaigns with audience segments that would have been impossible with linear: household income, purchase behaviour, category interest, geographic precision down to postcode level in some markets.

The measurement has historically been the weak point. Attribution on CTV is harder than search or social because the path from ad exposure to conversion is longer and less direct. But the infrastructure is improving. Clean room technology, household graph matching, and incrementality testing are all becoming more accessible to brands that are not operating at enterprise scale. The measurement is not perfect, but it is honest approximation rather than guesswork, which is good enough to make budget decisions.

I judged the Effie Awards and saw firsthand how few brands were building genuine measurement frameworks around video. The entries that stood out were not the ones with the biggest production values. They were the ones that could demonstrate a clear line between video investment and business outcome. CTV is increasingly showing up in those frameworks because the targeting precision makes it possible to construct a credible test-and-control methodology.

For B2B marketers, CTV is still underused. The assumption is that it is a consumer channel, but the audience targeting available on platforms like Hulu, Peacock, and Amazon’s ad-supported tier means you can reach professional audiences at home with messaging that would otherwise require expensive LinkedIn placements. It is worth testing, particularly for brands in categories where personal and professional identity overlap.

AI-Assisted Production Is Changing the Economics, Not the Strategy

AI video tools are generating a lot of noise right now, and some of it is justified. The ability to generate B-roll footage, create voiceovers, produce localised versions of a single master asset, and automate subtitle generation has genuinely reduced the cost and time involved in video production. For teams that were previously locked out of video by production costs, this is a real change.

What AI has not changed is the need for a clear strategic brief. I learned this early in my career, before any of these tools existed. When I built my first website by teaching myself to code after the MD refused my budget request, the technical execution was never the hard part. The hard part was knowing what the site needed to do and who it needed to serve. The same logic applies to AI video production. The tool can execute faster, but it cannot tell you what message to send, to whom, at what point in the buying cycle, or why.

The risk with AI-assisted video is the same risk that came with cheap social content tools a decade ago: volume without direction. Brands that use AI to produce more video without sharpening their strategic thinking will end up with more content that does less. The brands using it well are applying it to specific production problems, localisation, versioning, repurposing, not using it as a substitute for the thinking that has to come before production starts.

There is a useful framework in the approach to aligning video content with marketing objectives that applies directly here. AI makes execution cheaper. It does not make the objective clearer. That clarity still has to be established before a single frame is produced.

Video in B2B Has Finally Moved Beyond the Explainer

For years, B2B video meant one thing: the explainer video. A two-minute animated walkthrough of how the product works, usually with a voiceover that sounded like it was recorded in a hotel room, sitting on a product page that nobody visited. Some of those videos were genuinely useful. Most of them were produced because a competitor had one and the marketing team needed something to show for the quarter.

B2B video has matured considerably. The formats that are working now are more varied and more commercially specific. Customer proof videos that go beyond the standard testimonial and actually walk through the business problem and the measurable outcome. Sales enablement video that gives reps something to send instead of a PDF. Onboarding video that reduces time-to-value for new customers and, consequently, reduces churn. Wistia’s research on video for onboarding makes a strong case for this particular use case, and it is one that many B2B teams are still underinvesting in.

The B2B brands using video most effectively are also thinking about it across the full funnel rather than just at the awareness stage. Video at the consideration and decision stages, where a buyer is comparing options and looking for reasons to trust, is often more commercially valuable than top-of-funnel brand content, even though it gets less creative attention and smaller production budgets. Wistia’s overview of B2B video applications covers several of these use cases in practical detail.

Video is also becoming a more prominent feature of B2B event strategy. Whether brands are running B2B virtual events or appearing at physical trade shows, video is doing more of the heavy lifting in terms of capturing attention and communicating complex value propositions quickly. The days of a static booth with a brochure and a branded pen are not entirely gone, but the brands investing in video as part of their event presence are pulling more engagement.

Interactive and Shoppable Video Is Moving from Novelty to Viable Channel

Interactive video has been promised as the next big thing for longer than I care to remember. The technology has been around for years. What has changed is the infrastructure around it: better native support from platforms, lower implementation costs, and enough case study evidence to make a credible business case for testing it.

Shoppable video, where a viewer can click through to purchase directly from within the video experience, is the most commercially direct application. It is most mature in markets where social commerce is further developed, particularly in Asia, but it is gaining traction in Western markets through TikTok Shop, Instagram Shopping, and YouTube’s product integration. For direct-to-consumer brands with high-visual products, this is worth prioritising as a test in 2025.

Interactive video more broadly, branching narratives, embedded CTAs, clickable hotspots, is finding its most useful application in longer-form content: product demos, training materials, and sales enablement. The ability to let a viewer self-select their path through a video based on their role or interest is genuinely useful in B2B contexts where a single product serves multiple buyer personas with different priorities.

The same logic applies to event contexts. Brands experimenting with virtual trade show booth formats are finding that interactive video elements significantly outperform static content in terms of dwell time and lead capture. And when you combine interactive video with virtual event gamification mechanics, the engagement uplift can be substantial enough to justify the additional production cost.

The Measurement Gap Is Still the Biggest Problem in Video Marketing

Video measurement has not kept pace with video investment. Most brands are still measuring video performance primarily through views, watch time, and engagement rate, which are useful signals but not commercial outcomes. The question that matters is not how many people watched the video. It is what happened after they watched it.

Early in my career at lastminute.com, I ran a paid search campaign for a music festival that generated six figures of revenue within roughly 24 hours. It was a simple campaign, but the reason it was possible to see that outcome clearly was that the measurement infrastructure was built before the campaign launched. We knew exactly what we were trying to drive, and we could see it happening in real time. Video measurement rarely works that way, partly because the path from exposure to conversion is longer, and partly because most teams have not invested in building the attribution infrastructure before they start spending on production.

The brands closing this gap are doing a few things differently. They are tagging video content at the asset level so they can track which specific videos are contributing to downstream conversions. They are using incrementality testing, running video to one audience and withholding it from a matched control group, to isolate the actual contribution of video to outcomes. And they are integrating video engagement data into their CRM so that sales teams can see which prospects have engaged with which content before a conversation happens.

Resources like HubSpot’s analysis of B2B and B2C video trends and Semrush’s video marketing overview both touch on measurement challenges, and it is notable that measurement consistently ranks as one of the top barriers to increased video investment. That is not a new finding, but it is a persistent one. The brands that solve it get a compounding advantage because they can make better budget decisions faster than competitors who are still flying blind.

Video at Physical Events Is Getting More Strategic

Physical events have not gone away, and video is playing a more deliberate role in how brands show up at them. The shift is from video as decoration, a looping brand reel on a screen behind the booth, to video as a functional part of the event experience. Product demonstration videos that free up sales staff to have conversations rather than repeat the same pitch. Testimonial clips that provide third-party validation at the moment a prospect is evaluating options. Short-form content captured at the event itself that feeds social channels in real time.

The brands getting the most from physical events are thinking about video as part of the pre-event, at-event, and post-event strategy, not just a production task to tick off before the show. If you are looking for practical ideas on how to structure the physical presence itself, the trade show booth ideas piece covers the broader approach to driving footfall and engagement, and video fits naturally into several of those strategies.

The broader principle, whether the context is a physical booth, a virtual environment, or a paid media campaign, is that video works best when it is integrated into a system rather than treated as a standalone deliverable. A great video with no distribution plan, no measurement framework, and no connection to the next step in the buyer experience is an expensive piece of content that happens once and then sits in a Vimeo folder.

For a broader look at how all of these trends connect to platform decisions, audience strategy, and commercial outcomes, the video marketing section of The Marketing Juice pulls together the full picture across formats, channels, and measurement approaches.

The video marketing landscape in 2025 rewards brands that treat video as a commercial channel with the same rigour they apply to search or email, and it continues to punish brands that treat it as a creative output with a life of its own. The trends are real. The formats are evolving. But the underlying discipline required to make video work commercially has not changed at all. Further reading from Copyblogger on video content marketing and Buffer’s video marketing resource both reinforce the same point: strategy first, production second, distribution always.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

Frequently Asked Questions

What are the most important video marketing trends to prioritise in 2025?
The trends with the most commercial weight right now are the maturation of short-form video as an acquisition channel, the growth of Connected TV as a targetable brand channel, and the use of AI tools to reduce production costs for iteration and versioning. The underlying priority, regardless of format, is building measurement infrastructure that connects video spend to downstream business outcomes rather than stopping at views and engagement metrics.
How should B2B brands approach video marketing differently from B2C brands?
B2B brands should prioritise video across the full funnel rather than concentrating on awareness content. The highest-value applications in B2B are often at the consideration and decision stages: customer proof videos with specific business outcomes, sales enablement content that supports conversations rather than replacing them, and onboarding video that reduces time-to-value for new customers. B2B brands also tend to underuse video in event contexts, both virtual and physical, where it can significantly improve engagement and lead quality.
How do you measure the ROI of video marketing effectively?
Effective video measurement requires tagging content at the asset level to track downstream conversions, integrating video engagement data into CRM systems so sales teams can see what prospects have watched, and using incrementality testing to isolate video’s actual contribution to outcomes. Measuring only views and watch time is not sufficient for commercial decision-making. The goal is to build a measurement framework before production starts, not after the campaign has already run.
Is Connected TV a viable channel for mid-market brands, or is it only for large advertisers?
Connected TV has become more accessible to mid-market brands as minimum spend thresholds have come down across most platforms. The targeting capability, which includes household income, purchase behaviour, and geographic precision, makes it viable for brands that previously could not justify linear TV. The measurement infrastructure is improving, and incrementality testing is now accessible without an enterprise-level analytics team. It is worth testing for any brand targeting audiences where streaming penetration is high, which covers most demographics under 55.
What role does AI play in video marketing production, and what are its limitations?
AI tools are genuinely useful for specific production tasks: generating B-roll, creating voiceovers, producing localised versions of a master asset, and automating subtitles. They reduce the cost and time of iteration and versioning, which matters for teams that need to test multiple creative approaches. The limitation is that AI does not replace strategic thinking. It cannot determine the right message, the right audience, or the right point in the buying cycle to deploy a piece of content. Brands using AI to produce more video without sharpening their strategy will see diminishing returns quickly.

Similar Posts