If you search for muted video ad engagement benchmarks, you're probably hoping for one number: a hook rate, a completion rate, a click-through rate you can hold your ad against and know whether it's "good." That number doesn't exist in any reliable form, because muted engagement varies too much by platform, placement, industry and ad length to compress into a single figure. What does exist is a repeatable way to build your own benchmark, using your own account's sound-on versus sound-off performance as the baseline, then testing against it. This guide covers the metrics worth tracking, how to set a baseline in a few weeks, and the design checklist that usually closes the gap between muted and sound-on performance.
Muted Video Ad Engagement Benchmarks: Why One Number Doesn't Work
Muted video ad engagement benchmarks get asked about because advertisers want a quick pass/fail test. In practice, platforms don't publish a fixed number for "muted completion rate" or "sound-off CTR," because these metrics shift with placement (feed autoplay vs in-stream vs stories), ad length, vertical, and whether the audience is new or retargeted. A skincare brand's muted hook rate and a software demo's muted hook rate aren't comparable, even on the same platform.
What is comparable, reliably, is your own ad's performance with sound on versus sound off. That internal ratio is the benchmark worth tracking. If a creative holds attention at a similar rate whether or not the sound is on, it's designed well for sound-off feeds. If the gap is large, the ad is leaning on music or voiceover to do work that the visuals and captions should be doing instead.
The metrics that matter for sound-off performance
Before you can benchmark anything, decide which metrics actually represent engagement for a muted viewer. Five are worth tracking consistently:
- Hook rate (first few seconds): the share of viewers who keep watching past the opening frames. This is the first filter — if a muted viewer doesn't understand what the ad is in the first beat, they scroll.
- Completion rate or average watch time: how far into the ad people stay. A muted viewer who drops at the midpoint is usually losing the thread because a visual or caption didn't carry the plot forward.
- Click-through or swipe rate: whether the ad converts attention into action without relying on a spoken call to action.
- Sound-on toggle rate, where the platform surfaces it: a direct signal that the hook created enough curiosity for someone to actively turn sound on.
- Caption-dependent engagement: harder to measure directly, but a usable proxy is comparing completion rate between a captioned version and an uncaptioned version of the same creative.
How to build your own muted engagement benchmark
Here's a simple process for building a baseline you can actually trust, rather than borrowing a number from somewhere else:
- Tag creatives by sound design: label each ad as voiceover+music, music-only, or silent/captions-only so you can filter results later.
- Run a clean baseline period: let each creative run for a few weeks without changing text, captions or thumbnail, so the numbers reflect the creative, not a mid-test edit.
- Segment by placement before you average anything: feed, stories and in-stream behave differently around sound; blending them hides the real gap.
- Calculate the ratio, not the raw number: muted completion rate divided by sound-on completion rate for the same creative tells you more than either figure alone.
- Re-baseline whenever the format changes: a new hook style, caption format or aspect ratio resets how sound-dependent the ad is, so last month's baseline won't apply.
Starting-point ranges to test for muted vs sound-on performance
These aren't fixed industry benchmarks — they're starting points to test against your own ratio, then tighten once you have a few baseline cycles of data.
| Metric | What to compare | Signal worth investigating |
|---|---|---|
| Hook rate (first few seconds) | Muted version vs sound-on version of the same creative | If muted hook rate trails sound-on by a wide margin, the opening likely relies on a voiceover line or sound cue rather than a visual or text hook |
| Completion rate | Muted vs sound-on, same creative, same placement | A gap that widens toward the middle of the ad usually means pacing or plot points are carried by music or dialogue |
| Click-through / swipe rate | Muted vs sound-on | A close ratio usually means the on-screen CTA and captions are doing the job the voiceover would otherwise do |
| Sound-on toggle rate | Track week over week, not against a fixed figure | A rising toggle rate suggests the hook creates curiosity even when the payoff needs sound |
Design checklist: what usually needs to change for muted ads
When a muted benchmark gap shows up, it's almost always fixable with the creative, not the targeting. Check these first:
- Opening frame carries the idea alone: can someone understand what the product is and why they'd want it from the first frame, with no sound?
- Captions appear early and match pacing: word-by-word or short-phrase captions synced to speech help viewers follow along without sound; see caption strategies for muted video ads for formatting specifics.
- Visual cues replace sound cues: a zoom, a flash of text, or a quick cut can do the job a sound effect or music swell would normally do; visual cues for muted video ads covers this in more depth.
- The call to action is written on screen, not just spoken.
- The offer or proof point isn't hidden inside a line of dialogue with no caption backup.
Common mistakes when benchmarking muted ad performance
- Comparing your numbers to a published "industry average" instead of your own sound-on baseline — these figures rarely specify platform, placement or vertical, so they aren't a fair comparison.
- Blending feed, story and in-stream placements into one average, which hides where the real muted drop-off happens.
- Changing captions, hook and thumbnail all in the same testing window, so you can't tell which change moved the number.
- Only watching completion rate and ignoring hook rate, which is usually where muted ads lose the most ground.
- Reviewing creative with headphones on, then wondering why performance looks different once the ad runs on mute by default in-feed.
A simple weekly workflow to track muted engagement
You don't need a dashboard overhaul to start benchmarking. A basic weekly routine works:
- Pull hook rate, completion rate and CTR for each active creative, split by placement.
- Log muted vs sound-on performance side by side in a simple spreadsheet, even if it's manual.
- Flag any creative where the muted number trails sound-on by a wide margin for a recut: new opening caption, new first-frame visual, or a text-based CTA.
- Re-test the recut version for the same baseline period length before comparing again.
- Keep a short log of what changed between versions, so the next person on the account, or future you, can see why a benchmark moved.
Where FrameNotion fits into muted-ad testing
Building and testing a muted engagement benchmark requires producing several versions of the same ad quickly: a captions-only cut, a music-only cut, a new hook variant. FrameNotion is built around that kind of iteration. Paste a product link and FrameNotion AI writes and renders a 30-second vertical ad with a voiceover, a music track, sound effects and word-by-word captions baked in — or music-only, or fully silent, depending on what you're testing. Every ad is designed to work on mute by default, since captions and on-screen text carry the message regardless of sound setting.
Once a draft is ready, you can send change requests to adjust text and colors, or generate A/B hook variants on the Pro and Agency plans, which is useful for testing different opening frames against your muted hook-rate benchmark without rebuilding the ad from scratch. FrameNotion doesn't publish ads directly to ad accounts or report back performance data — you'll still track your benchmarks inside your own ad platform — but it's a fast way to get the creative variants ready to test. See example ads or the features overview for what a finished ad looks like, and pricing for plan details.
Frequently asked questions
Is there an official muted video ad engagement benchmark published by TikTok, Meta or YouTube?+
No. Platforms don't publish a fixed benchmark number for muted completion rate, hook rate or CTR. They generally recommend designing ads to work without sound, but the actual numbers you should expect depend on your placement, vertical and creative length, which is why building your own baseline is more reliable than chasing a published figure.
How long should I run an ad before trusting my muted benchmark numbers?+
Give each version a clean testing window without edits, long enough to cover normal day-of-week and placement variation. If you're making multiple changes between short bursts, you won't be able to tell which change moved the number. Treat the first cycle as a baseline-setting period, not a verdict.
Should I design every ad to work with sound off, even if most of my budget goes to sound-on placements?+
Yes. Feed-based placements across most major platforms autoplay without sound, and even where defaults differ, you usually won't know which setting a given viewer is using. Designing the hook, captions and CTA to work silently protects performance everywhere, and the sound layer becomes a bonus rather than a requirement.
What's a fast way to check if an existing ad relies too much on sound?+
Watch it muted, cold, on a phone, the way a viewer would see it in-feed. Note the exact moment you'd be confused about what's being sold or why it matters if you couldn't hear it. That moment is almost always where your muted hook rate or completion rate is dropping.
Can I set a muted engagement benchmark without a large ad budget?+
Yes. With lower spend, lean on manual review alongside whatever platform data you have: watch each ad muted, compare it to a sound-on version side by side, and track completion rate trends over a longer window instead of a tight one. The process matters more than the sample size at this stage.