You've probably been told that shoppable video lifts conversion. What nobody tells you is what “working” actually looks like once it's installed. Is a 10% play rate good? Should half your visitors be clicking through? Without a baseline you can't tell a healthy setup from a broken one.
So here are some real shoppable video benchmarks.
The numbers below come from 77.8 million impressions across 1,681 active Shopify stores, recorded between August 6 and October 22, 2026. One thing to be upfront about: every store in this dataset runs Moast, so these are benchmarks from one app’s install base rather than the whole category. Treat them as a reference point, not an industry average. “Active” means the store served at least 1,000 impressions in the period, and that filter matters more than you’d think. We’ll come back to it.
The Funnel, Start to Finish
Shoppable video has three steps. A shopper sees the carousel, presses play, then clicks a tagged product. Here’s what happens at each one.
|
Step |
Total |
Rate |
|
Impressions |
77,780,330 |
— |
|
Video plays |
16,248,798 |
20.9% of impressions |
|
Product clicks |
248,560 |
1.5% of plays |
|
Purchases from a click |
9,502 |
3.8% of clicks |
Read that top line again. About one in five shoppers who see a video carousel actually presses play. If you assumed most people ignore it, that’s better than you expected. If you assumed video is magnetic, it’s worse.
The drop at step two is the brutal one. Only 1.5% of people who watch a video click the product inside it. Video earns attention easily enough. Turning that attention into a product page visit is where it gets hard.
Shoppable Video Benchmarks for the Typical Store
Those are pooled totals, and large stores dominate them. The typical store looks quite different:
|
Metric |
25th percentile |
Median |
75th percentile |
|
Play rate |
7.6% |
15.2% |
28.4% |
|
Click-through rate (of plays) |
0.0% |
0.8% |
2.3% |
The median store sees a 15.2% play rate, not 20.9%. And the spread is enormous: the store at the 75th percentile gets nearly four times the play rate of the store at the 25th.
That 0.0% in the click-through column isn’t a typo or a missing number. Among stores with meaningful view volume, 30% recorded no product clicks at all during the period. A quarter of stores sit at zero, which is what drags the 25th percentile down to nothing. Some of those will have untagged videos; some will have videos nobody could connect to a product they wanted.
The spread is the real finding here. Outcomes aren’t determined by the format. Two stores running the same app on the same theme can land four times apart, which means something they’re each doing differently accounts for the gap.
Use these as your benchmark: below 8% play rate, look at placement and thumbnails. Above 28%, you’re in the top quartile.
More Videos Won’t Get You More Plays
Here’s the result that surprised us.
We split active stores by how many videos they added during the period, then compared engagement.
|
Videos added |
Stores |
Play rate |
Click-through rate |
|
None |
773 |
15.2% |
0.50% |
|
1 to 5 |
169 |
15.3% |
0.98% |
|
6 to 20 |
353 |
15.2% |
1.17% |
|
21 to 50 |
155 |
16.8% |
1.25% |
|
50+ |
231 |
15.1% |
1.19% |
Look at the play rate column. It’s flat. Stores that added fifty videos saw the same play rate as stores that added none, so adding content doesn’t make more people press play.
Now look at click-through. It roughly doubles, from 0.50% to around 1.2%. Most of that jump happens early: going from no new videos to just one to five nearly doubles the rate on its own, and everything after that is a smaller climb.
So content volume doesn’t change whether people watch. It changes whether watching leads anywhere.
That tracks with what a shopper is actually doing. Pressing play is a decision about the thumbnail and where the carousel sits on the page. Clicking the product is a decision about whether the video showed them something worth buying. A bigger library improves the odds that whatever they watched was relevant to them.
An important caveat before you act on this. “None” means the store added no new videos during this specific window, not that its library is empty. And a store that’s actively adding videos is probably doing other things too: checking placement, tagging products properly, paying attention. We can’t separate the effect of the videos from the effect of the merchant who bothered to upload them. What the data supports is that stores actively maintaining their video library see click-through rates around twice those of stores that have let it sit. Whether the videos cause that, or simply mark the stores where someone is paying attention, this data can’t tell you.
What This Means for Your Store
-
Play rate under 8%? Start with placement and thumbnails rather than content. The table above shows more videos won’t move this number. Move the carousel higher on the product page and make sure thumbnails show the product clearly. Baymard’s research on embedding product page videos covers where and how to place them, and it’s worth reading before you touch anything else.
-
Play rate fine but click-through under 0.5%? Relevance is the likelier problem. People are watching videos that don’t match what they came to buy. Check that products are actually tagged inside each video, since untagged videos can’t produce a click at all.
-
Sitting at zero clicks? You’re in company. Roughly 30% of stores with real view volume are there. Tagging is the first thing to check.
-
Above 28% play rate and 2.3% click-through? You’re top quartile on both. Traffic volume is your lever now, not optimization.
-
Thinking about adding more videos? Worth doing, but set expectations. The lift in this data shows up from the first handful, and the stores seeing it are the ones generally tending their setup.
The Number Nobody Publishes
One more figure, because it’s the most honest thing in this dataset.
Of all stores with the app installed, only 27% served more than 1,000 impressions in a 78-day window. The median store across the entire install base served 30 impressions. Not 30 a day. Thirty, total.
That’s not a knock on any particular app, ours included. It’s what install bases look like across the Shopify ecosystem. Most merchants install something, don’t finish setting it up, and never think about it again.
The lesson isn’t really about video. The gap between “installed” and “working” is where most of the lost value in your app stack sits. Before you add another app, check whether the last three are actually running. For a lot of stores, they aren’t.
If you want to go deeper on how shoppable video fits a product page, there’s a fuller guide on how shoppable video works for Shopify stores.
Methodology
All figures cover August 6 to October 22, 2026, and come from Shopify stores running Moast, a shoppable video and UGC app. These are single-app benchmarks, not a cross-category industry sample.
Engagement benchmarks use the 1,681 stores that served at least 1,000 impressions in the period, which account for 99.4% of all impressions recorded. Percentile figures are per-store medians rather than pooled totals, which is why they differ from the aggregate numbers. Click-through rate is measured against video plays, not impressions, and percentiles for it include only stores with at least 500 plays.
A purchase is counted when a shopper who clicked a tagged product goes on to complete checkout within Moast’s attribution window of 14 days. Revenue figures are excluded from the benchmark tables because they scale with store traffic rather than video performance, which makes them misleading as a comparison point.