What Is a Good Hook Rate on Meta and TikTok Ads?

Hook rate is the most-quoted creative metric in paid social and one of the most misread. It is useful, it is genuinely diagnostic, and it tells you considerably less than most accounts act like it does.

What is a good hook rate on Meta?

On Meta, 30% or above is the working 2026 benchmark, and elite creative reaches 35 to 45%. Below 25% needs attention. Below 20% the creative is effectively invisible, and no amount of quality further into the video will rescue it.

Hook rate	Read
35-45%	Elite. This creative is doing its job.
30-35%	Healthy. The benchmark band.
25-30%	Functional, improvable.
20-25%	Fix zone for an established account.
Below 20%	Effectively invisible.

Hook rate is 3-second video plays divided by impressions. Thumbstop rate is the identical calculation under a different name, which causes more confusion in reporting than it has any right to. Different tools and agencies picked different labels for the same number, so if two dashboards disagree, check the definition before you check the creative.

What the metric captures is narrow but real: of the people the platform showed this to, what share stopped long enough to register it. That is a measurement of your first three seconds and nothing else. Not your offer, not your product, not your landing page, not your price.

What is hold rate and why does it matter more than people think?

Hold rate measures whether the people who stopped actually stayed. Using Meta’s ThruPlay definition, which is ThruPlays divided by 3-second plays, 20 to 25% is healthy on cold traffic.

The relationship worth internalising: hook rate gets you into the auction, hold rate largely determines what you pay in it. Platforms reward completion with cheaper distribution, so two ads with identical 32% hook rates and different hold rates will not cost the same. One is teaching the algorithm that its audience was well matched. The other is teaching it the opposite.

Reading the pair together is far more useful than reading either alone:

• High hook, low hold. The opening promised something the video did not deliver, usually a hook disconnected from the content behind it. Common with borrowed formats: the hook was lifted from a video about something else.
• Low hook, high hold. The content is good and nobody is seeing it. Usually the cheapest problem in the account to fix, because the asset already works for everyone who gets there. Rewrite the first three seconds and leave the rest.
• Low hook, low hold. Retire it. There is nothing here to diagnose.
• High hook, high hold. Your scale candidate.

Most accounts track hook rate and ignore hold rate, which means they can identify that an ad failed but not where. The two-metric read tells you which part to rewrite, and that is the difference between iterating and guessing.

Does a high hook rate mean the ad will be profitable?

No, and this is the trap the metric sets. Hook rate measures attention. It does not measure intent, and the two come apart constantly.

A striking opening can hold a viewer perfectly while giving them no reason at all to want the product. Shock, curiosity and pattern interrupts all produce excellent hook rates, and none of them transfer to purchase intent on their own. Accounts that optimise on hook rate alone reliably end up scaling attention-grabbing creative that converts at nothing, then concluding the platform is broken.

Treat hook rate as a diagnostic for one specific failure mode: nobody is seeing this. It is excellent at identifying that condition and useless for anything else. It should never be the metric a scaling decision is made on, and an ad should not get budget because its hook rate is high. It gets budget because it converts, and hook rate explains part of why.

The failure has a recognisable shape once you have seen it. An account finds a hook format that reliably produces 40% hook rates, standardises on it, and watches CPA get worse while every creative dashboard improves. The hook is doing its job perfectly and selecting for the wrong people: viewers drawn by curiosity rather than by interest in the product.

The check is straightforward. Compare hook rate against conversion rate across your library rather than looking at either alone. If your highest-hook assets are not among your best converters, the hook is buying attention from an audience that was never going to buy, and standardising on it will make the account worse in a way the creative metrics will never show.

Why do published benchmarks mislead?

The numbers above are useful orientation and poor targets, because hook rate moves with variables that have nothing to do with creative quality.

Placement mix shifts it substantially. Reels, Stories and in-feed produce materially different baselines for the same asset, so an account weighted toward one placement is not comparable to an account weighted toward another.

Audience temperature shifts it more. Retargeting audiences hook far better than cold prospecting, for obvious reasons, and comparing a warm-heavy account against a cold-heavy one produces a conclusion about audience composition dressed up as a conclusion about creative.

Creative style matters too. Static and video are not measured the same way, and mixed accounts produce blended numbers that describe nothing in particular.

Platform differs as well. TikTok’s autoplay behaviour is not Meta’s, so the same asset yields different numbers on each, and a shared target across both is a target that is wrong on at least one.

The benchmark that actually predicts your next winner is your own account’s historical median for the same audience, the same category and the same creative style. Industry figures tell you whether you are in the right postcode. Your own median tells you whether this specific ad is better than the last one, which is the only question that changes what you do next.

How should you actually use it?

Read the metrics in sequence, and let each one gate the next.

Hook rate first, as a gate. Anything under 25% on cold traffic gets a new opening or gets retired. There is no point diagnosing the body of a video nobody watched, and no point debating the offer in an ad that never got seen.

Hold rate second, on whatever cleared the gate. This tells you whether the body of the video earned the attention the hook bought. A strong hook with a weak hold is a rewrite of the middle, not the opening.

Conversion metrics last, and they are the only ones that decide budget. Hook and hold explain why an ad performed as it did. They do not determine whether it deserves more money.

Run them in that order and each number means something specific. Run them together and you end up scaling whatever looked most impressive on the dashboard.

Two practical notes on reading the numbers. Judge an asset on enough impressions to be stable, because hook rate is volatile early and a promising figure at low volume regularly regresses. And compare like with like: an asset tested against a warm audience is not comparable to one tested cold, so a library ranked on raw hook rate mostly ranks audience temperature.

The habit worth building is recording your own median for each audience and format as you go. After a couple of months that private benchmark is worth more than any published figure, because it accounts for your category, your placements and your creative style at once.

The short version

30%+ hook rate, 20 to 25% hold rate, both read against your own account’s history rather than a table from a blog. Use them to diagnose creative and never to decide spend.