I broke down 15 explainer video examples for business, from Dropbox and Slack to AI demos. See the technique to steal from each and how to build your own.
15 Explainer Video Examples for Business, and What to Steal From Each (2026)
I have sat through explainer videos that left me more confused than before I pressed play. Two minutes of swooping graphics, a voiceover reading the homepage out loud, and no answer to the only question I had: what does this do, and why should I care?
The good ones are different. They pick one idea, show it instead of describing it, and get out before you check the time.
So I pulled together 15 explainer videos that work for a business audience. Some are famous (Dropbox, Slack, a razor company that made $4,500 go a long way). Some come from companies quietly shipping product demos and training at scale. For each one, I point to a specific moment that earns its keep, explain the mechanism, and hand you one technique to copy.
If you are about to brief, script, or build an explainer, start here.
What makes a great business explainer video
These are the six lenses I used to pick the examples below. They are also a decent checklist before you write a word.
- It answers one question in the first few seconds
The strongest explainers name a single problem fast and promise a single payoff. Industry data for 2026 puts the highest completion and conversion on videos under 90 seconds, which only works if you resist cramming in three messages.
- It shows instead of tells
A visual metaphor or a real screen beats an adjective every time. If your script could be read over a stock-photo slideshow, it is not an explainer yet.
- It sounds like a person, not a press release
Read your script out loud. Roughly 150 words per minute of natural, conversational narration keeps people watching. Corporate throat-clearing loses them.
- It can be updated without a reshoot
For software, this is the quiet killer. A button gets renamed and your beautiful studio video is suddenly wrong. The best business explainers are built so a single edit does not mean a whole new shoot.
- It travels across languages
One explainer should be able to reach every market you sell in. That used to mean re-filming per language. AI localization now runs about $0.12 per second versus $8 to $15 for human dubbing, which changes the math on who gets a localized version.
- It ends with one clear next step
Sign up. Book a demo. Read the docs. One ask, stated plainly, beats a wall of buttons.
Quick picks
- Best live-action brand explainer: Dollar Shave Club (one founder, one warehouse, one joke that sells)
- Best classic product explainer: Dropbox (stop-motion, plain English, zero jargon)
- Best B2B explainer with personality: Slack (a mockumentary that shows the problem)
- Best concept explainer: TED-Ed on the stock market (history makes the abstract concrete)
- Best interactive product demo: Pyne AI (a demo that answers back)
- Best updatable product tutorial: Miro (change one word, regenerate, ship)
- Best explainer at volume: Vision Creative Labs (finance topics, 50 to 60 videos a day)
15 Explainer Video Examples for Business, Reviewed in Detail
A note on order: these are grouped to show format variety, not ranked. Number 1 is not better than number 15.
1. Dollar Shave Club: the joke that did the selling
The launch video, DollarShaveClub.com, Our Blades Are Great, is still the benchmark for a live-action explainer that doubles as an ad.
Watch the warehouse walk-and-talk. Founder Michael Dubin strolls past a guy in a bear suit and a toddler stamping boxes, never once raising his voice about the actual pitch (good razors, a dollar, delivered). The set is cheap on purpose, which makes the confidence land harder.
Why it works: the script sells the problem (overpriced razors) and the personality at the same time, so the product feels like a relief rather than a sales target. It reportedly cost around $4,500 and drove roughly 12,000 signups in 48 hours.
What to steal: lead with a point of view, not a feature list. If your founder is funny on camera, that is an asset most competitors cannot copy.
Where it falls short: this lives or dies on a genuinely sharp script and on-camera charisma. Most brands attempting the irreverent tone land somewhere between forced and cringe, and the humor dates.
2. Dropbox: plain English wins
Before "explainer video" was a category, Common Craft made the Dropbox intro video, a 2 minute 17 second stop-motion piece that ran on the homepage for years.
The detail that makes it: a pair of hands slides paper cut-outs of a laptop, a phone, and a folder across a white surface, following one file as it appears on every device. You are watching the product's whole value (your stuff, everywhere) acted out with paper.
Why it works: it never explains the technology. It explains the feeling of not losing a file. Dropbox has credited it with tens of millions of views and a real role in early growth.
What to steal: describe the outcome in the language a confused friend would use, then build the visuals around that sentence.
Where it falls short: the hand-cut-paper look reads as dated now, and the "explain a brand-new concept" job is rarer than it was in 2009.
3. Pyne AI: the demo that answers back
Most product tours get clicked away. Pyne's customer story is interesting because it attacks that exact problem.
Pyne builds AI-generated demo agents through HeyGen's API, so a software company can drop an interactive, avatar-led walkthrough into its onboarding. A user can ask a question mid-demo or pick their own path, and the demo responds. CEO Roman Geugelin says the demos their customers build hit a 10x higher completion rate than comparable onboarding tools, and Pyne credits the format with doubling trial conversion for product-led teams.
Why it works: a static explainer talks at you. An interactive one adapts to the one feature you came to understand, which is why people finish it.
What to steal: if your product is complex and self-serve, let viewers steer. A branching product demo video answers the question they actually have.
Where it falls short: interactivity only pays off with enough traffic and a product worth exploring. For a simple one-screen tool, a 60-second clip is plenty.
4. Slack: a mockumentary that shows the pain
Slack handed its explainer to Sandwich, a customer that happens to be a video studio, and got "So Yeah, We Tried Slack...", a mock documentary that pulled over a million views.
It opens cold with Sandwich's founder staring flatly into the camera, admitting his company ran "entirely on email" and "was doing just fine," while message windows pile up around his team at their desks. The deadpan sets up the relief when Slack arrives.
Why it works: instead of listing features, it dramatizes the chaos Slack removes. You feel the before, so the after sells itself.
What to steal: write the "before" first. Show the messy status quo in concrete detail, then let your product be the turn.
Where it falls short: this needs real filmmaking. A low-budget attempt at the same format reads like an awkward office skit, not a punchline.
5. Miro: update one word, do not reshoot
Miro's education team produces how-to and onboarding videos for a product that changes constantly. Miro's story is the clearest example I found of the updatability problem solved.
Learning media designer Steve Sowrey describes the old trap: you finish a tutorial, the product team renames a button, and your video is wrong. His favorite example is changing the phrase "start view" to "default view" after a UI tweak. Instead of rebooking a studio and an actor for one word, his team edited the script and regenerated that clip with the actor's avatar. Miro reports a 10x jump in production speed and now localizes onboarding into Dutch, French, and German for its 90 million users.
Why it works: it treats a tutorial as living text, not a finished film.
What to steal: build tutorials in a tutorial video maker so a product change costs a script edit, not a reshoot.
Where it falls short: for some interfaces, a quiet narrated screen capture teaches the clicks better than any presenter.
6. TED-Ed: history makes the abstract concrete
For explaining a hard concept cleanly, How does the stock market work? by Oliver Elfenbaum is a four-minute master class in 2D animation.
It opens in the 1600s with the Dutch East India Company selling shares in coffee houses to fund voyages, which the narrator calls the world's first stock market. By the time you reach modern trading, the idea already has a story to hang on.
Why it works: it anchors an abstract system in a concrete origin, then builds forward. The animation illustrates each step rather than decorating the narration.
What to steal: when a topic feels dry, find its origin story. "Here is the problem someone first solved" beats "here is a definition."
Where it falls short: this level of animation costs real money and weeks of work, which is not realistic if you need weekly explainers.
7. getitAI: turning a web page into a conversation
getitAI's story shows the explainer format pushed all the way into selling.
The company builds what it calls storyselling agents: conversational shopping assistants, powered by HeyGen avatars, that replace a passive product page with a guide who pitches and answers. In a live demo for apparel brand True Classic, co-founder Michael Greenberg blended branded avatar footage with product B-roll so the agent could recommend items in real time. Co-founder and CEO Alain Denzler frames it as turning a web page into a dialogue.
Why it works: it merges the explainer (what is this) with the sale (should I buy) into one continuous, on-brand moment.
What to steal: for considered purchases, pair a talking presenter with cutaways to the product so the viewer sees and hears the value together.
Where it falls short: a conversational agent earns its place on considered buys. For a $5 impulse item, the extra step is friction, not help.
8. Copient.ai: the explainer you practice against
Not every explainer is a video you watch once. Copient.ai's story is about training sales reps by letting them talk to one.
Copient.ai pairs its conversational AI with HeyGen avatars so a rep can run an unscripted role-play: pitch a realistic buyer persona, get pushback, and practice objection handling. Since launching in September 2024, the platform has logged more than 15,000 role-plays across 30-plus clients with 500-plus daily active users, and top collegiate sales teams have used it to prepare for national competitions.
Why it works: explaining a sales motion in a slideshow is forgettable. Letting someone fail safely against a lifelike buyer is not.
What to steal: turn a "how to handle X" explainer into a practice rep. Build the buyer with realistic AI avatars and let people rehearse.
Where it falls short: simulation training is only as good as the personas behind it, and writing convincing buyers takes real upfront effort.
9. Google: one example carries the whole idea
Google's Introducing How Search Works is a tidy five-minute lesson in motion-graphics explaining.
The smart move: it runs a single query, "lasagna," through crawling, indexing, and ranking. An abstract pipeline becomes one concrete search you can actually follow from typed word to results page.
Why it works: a worked example beats a diagram. You are not asked to imagine the process in general, you watch it happen to one recipe.
What to steal: pick one real, specific example and walk it end to end. Specificity is what makes a process feel understandable.
Where it falls short: pure graphics with no human face can feel cold. It suits a neutral process explainer better than anything meant to build personal trust.
10. Stratasys: technical training that travels
Stratasys, a 3D-printing company, had a hard version of the explainer problem: deeply technical content that also needs to exist in many languages.
The team now records a training video once and localizes it with batch translation, plus brand glossaries and forced pronunciation rules so machine-specific terms survive the jump between languages. Instructional designers build in PowerPoint, import the slides, add a script, and let an avatar deliver it. The reported result is over $1 million in cost avoidance from not outsourcing translation, alongside a 120% lift in YouTube viewership from the localized content.
Why it works: it keeps technical accuracy intact while removing the studio bottleneck that usually kills multilingual training.
What to steal: if you already explain things in slides, convert them with PPT to video instead of starting over.
Where it falls short: an avatar can present the theory, but a hands-on machine walkthrough still needs real footage of the actual hardware.
11. Advantive: a lean team shipping faster than its product
Advantive's story is the one I would send to any solo learning-and-development manager.
Their L&D lead supports 600-plus employees largely alone. The old process meant booking subject-matter experts, hiring an editor, and waiting days for voiceover. Worse, a recorded hour-long module went stale within 30 to 40 days and needed a full re-record. By switching to a script-first workflow where experts write and an avatar delivers, a voice-over PowerPoint training that once took several days now takes two to three hours, a roughly 50% cut in content creation time.
Why it works: it removes the two slowest steps (scheduling people and editing) and makes updates trivial.
What to steal: separate "who knows the content" from "who appears on camera." Have experts write, then let the production happen automatically.
Where it falls short: the speed is real, but a thin team still has to write a tight script first. The tool does not invent the message.
12. HubSpot: when everyone can make the video
HubSpot put its own AI-adoption story on camera in How HubSpot is accelerating AI-powered video creation to support global teams with HeyGen.
In it, Nelson Chacón Guzman and Oscar Eduardo Estrada explain the bottleneck most marketing teams know: creating, updating, and localizing video at the pace the business moves. Their fix was to let more internal teams produce professional video themselves, editing in minutes and translating instantly. Estrada's line that stuck with me is that it lets anyone who wants to tell a good story do it, without waiting on an external crew.
Why it works: it reframes the explainer problem as a capacity problem and solves it by widening who can create.
What to steal: standardize a template so non-video people can fill it in. The unlock is access, paired with guardrails.
Where it falls short: democratizing creation invites inconsistency. Without a locked template and brand rules, quality drifts fast.
13. Reply.io: the founder who does not have to film
Reply.io's story is a smaller, sharper idea: scaling a founder's presence without booking the founder.
Reply.io's social team wanted regular short-form video featuring their founder, Oleg, but daily recordings were not realistic. Using an avatar of him, the team now produces 10 to 14 videos a week without his direct involvement, and reports that the channel drives more traffic to the site than any other social platform they use.
Why it works: it solves the real constraint behind most founder content, which is the founder's calendar, not the idea.
What to steal: if one person is your brand's face, a trained avatar lets that face show up consistently instead of sporadically.
Where it falls short: audiences can feel misled if they sense a face is synthetic and were not told. Transparency matters more here than anywhere else on this list.
14. Tomorrow.io: the executive explainer at account scale
Tomorrow.io's story takes the explainer in an account-based direction.
The weather-intelligence company leans on video heavily, and wanted to scale personalized, executive-fronted content for very different audiences (an insurer who needs hail alerts is not a logistics buyer). After finding another tool's avatar quality lacking, the marketing team built personalized videos of executives that could be tailored per account while staying consistent.
Why it works: it keeps a senior, trustworthy presenter in the frame while flexing the message per segment, which is hard to do with one fixed studio recording.
What to steal: for ABM, lead with a recognizable AI spokesperson and swap the specifics per account rather than producing one generic clip.
Where it falls short: personalization can tip into uncanny if the underlying data is even slightly wrong, so the inputs need to be clean.
15. Vision Creative Labs: finance explainers at volume
Vision Creative Labs closes the list with a pure scale play, and an honest reaction quote.
The agency specializes in turning dry, data-heavy finance topics into watchable narratives. Co-founders Roger Hirst and Damien Horner describe a gap between people who can make video and people who understand finance, and they built avatar-led production to close it. The headline shift: clients went from 1 to 2 videos a year to 50 to 60 a day, all localizable from a single source. Hirst recalls a friend's reaction to his avatar: "You didn't film that?"
Why it works: it proves an explainer style can be industrialized without a camera crew on every shoot.
What to steal: when you need volume across markets, produce once and use an ai video translator to ship every language version from the same script.
Where it falls short: 50 to 60 a day is a volume strategy. Without a strong narrative spine, individual videos start to blur together.
At a glance 15 Explainer Video Examples for Business, and What to Steal From Each
How to make videos like these
Look across the 15 and a pattern shows up: format follows function, and the cheapest version that does the job usually wins. Dollar Shave Club needed a personality and a camera. Dropbox needed plain language. Miro needed editable text. Nobody over-produced past the point of the message.
The other pattern is more recent. Several of these formats (avatar explainers, narrated product tours, localized training, executive videos) are now buildable from a script in a browser, which is why named companies like Stratasys, Advantive, and Vision Creative Labs use HeyGen instead of a studio.
If you already have raw material, start from it. Turn a deck into video with a script to video workflow, or point an ai video explainer at the concept you keep re-explaining on sales calls. To repurpose a landing page or doc, url to video gets you a first cut fast.
The face on screen matters too. A library of ai avatars lets you A/B test presenters or keep one consistent spokesperson across every video, the way Reply.io and Tomorrow.io do. Aggregate customer data points to roughly 62% faster training video creation once teams move to this workflow.
One honest caveat: avatars can still feel slightly off on long, emotionally heavy storytelling. For a hero brand film like Dollar Shave Club's, or a physical demo of a real machine, a live shoot still wins. Use AI video for the high-volume, frequently-updated, multilingual work, and save the crew for the few pieces that truly need a human in the room.
The takeaway
Treat this list as a menu, not a leaderboard. Match the format to the job: live-action for personality, animation for concepts, avatar video for anything you will update or translate often.
Then build the smallest version that teaches or sells, and ship it before the moment passes. If you want to try the AI-built approach the customers here used, HeyGen's ai video generator has a free plan, which is a low-risk way to make your first explainer this week.
FAQ
How long should a business explainer video be?
For most business explainers, aim for 60 to 90 seconds. That range carries the highest completion and conversion rates in 2026 data. On social, trim to 30 to 45 seconds and make the first 3 seconds count. A complex B2B product can justify up to two minutes if every line earns its place.
How much does an explainer video cost?
A traditional agency explainer typically runs from about $2,000 for a simple animation to $25,000 or more for high-end or hybrid live-action work, depending on length and revisions. AI-built avatar explainers cut that dramatically, which is why many teams now reserve agency budgets for one or two hero pieces.
What are the main types of explainer videos?
The common formats are 2D character animation, whiteboard, motion graphics, screencast or product demo, live-action, and avatar-led video. Mixed media (animation plus real screens) often converts best. The right choice depends on whether you are explaining a concept, a product interface, or a brand story.
What makes an explainer video effective?
It names one problem in the first few seconds, shows the solution instead of describing it, sounds like a person rather than a brochure, and ends with a single clear next step. The examples that stick, like Dropbox and Slack, dramatize the pain before they introduce the product.
Can I make an explainer video without filming or hiring an agency?
Yes. Companies like Advantive and Miro produce explainers from a written script using AI avatars, no camera or crew required. You write the script, pick a presenter, and generate the video, then update it later by editing text. It suits high-volume and frequently-changing content especially well.
What is the best explainer format for a SaaS product?
For software, prioritize updatability and clarity. A narrated product tour or avatar tutorial that you can edit when the UI changes (the way Miro handles button renames) beats a polished studio video that goes stale. For self-serve products, an interactive demo like Pyne's lifts completion further.
Where should I put my explainer video?
Put your primary explainer above the fold on the relevant landing page, embed it in onboarding emails and in-app flows, and cut shorter versions for social and ads. The same core explainer can be localized per market so each audience sees a version in its own language.
