How to rank video hooks when a client asks which one is best

You have four versions of the first three seconds of a video. The client likes number two. The designer likes number four. The founder says the real answer is whatever she would stop scrolling for. Everyone is sure, and nobody has a number.

This page is about that meeting, not about a tool. It gives you a free scoring method, a sheet that lines up opinion, a prediction score and a real result, and a test plan. Prediction tools such as Higgsfield fit in as one input among three.

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The problem: five opinions, one decision

Hook arguments go badly for a simple reason. People judge a hook by how they feel about the brand, the actor or the colour, and they do it after the louder person has already spoken. The senior voice wins, which is not the same as the best hook winning.

The fix is not a smarter tool. It is an order of events. First agree how hooks will be judged. Then judge them. Then check the judgment against real viewers. When you do it in that order, the argument moves from "which one do you like" to "which one scored higher on the list we agreed". That is a much easier meeting.

What a hook is, and what you can measure before spending money

A hook is the first one to three seconds of a video. Its only job is to make a viewer keep watching. Two numbers matter later, and it helps to keep them apart:

• Hook rate is how many people stayed past the first three seconds, divided by how many saw the ad. Meta reports "3-second video plays" and "impressions", and you divide one by the other. Hook rate is a common industry measure, not a fixed platform label. It tells you whether the opening worked.
• Hold is how much of the rest of the video people kept watching. A strong hook with a weak middle is a trap: people stop, then leave. Score hold separately, because a hook can win and the ad can still lose.

Before you have run anything, you cannot measure either number. What you can do is judge the hook against a written list, and ask people who are not in the room. Those two steps cost almost nothing, so they come first.

Option 1: A blind scoring rubric (free, about 20 minutes)

This is the cheapest option and it solves the real problem, which is the argument. Write the rubric down and get the client to agree to it before they see any version. A rubric is just a short list of yes or no questions with points.

Here is a five-line rubric you can copy. Score each line 0 (no), 1 (partly) or 2 (clearly yes). The best possible score is 10.

Question	0	1	2
Does the first two seconds make one specific claim or show one specific problem?	Vague or none	General	Specific
Is there a visible subject or movement in the very first frame?	Black, logo or slow fade	Static scene	Clear action or face
Does the hook match the offer the video ends with?	No link	Loose link	Direct link
Does it make sense on mute, with captions?	Needs sound	Partly	Fully
Is it free of a slow brand intro or a long greeting?	Long intro	Short intro	No intro

Then blind the ranking. Remove the file names and any creator or actor names. Give each version a letter. Ask three to five people to score on their own, and make sure the client lead is not the only scorer. Average the scores. The method is plain, it costs nothing, and you can explain it to anyone in a minute.

The rubric also records why a hook won. If version C scored 9 because it showed the problem in the first second, you have learned something you can reuse on the next brief.

Option 2: Ask real customers or the client's own audience

Five real customers can tell you more than fifty colleagues. Show the hooks, with no explanation, to five to ten people who match the buyer. After each hook, ask only: "What do you think this video is about?" and "Would you keep watching?" If they cannot say what it is about, the hook failed, whatever it scored.

A message to a client's email list or a short poll in their customer group also works. Keep it small and quick. This is not a research project. It is a sanity check that gets an outside view into the room. The limit is that people say they would keep watching and then scroll anyway, so use it to remove clear losers, not to crown a winner.

Option 3: Score with the Higgsfield Virality Predictor (and its limits)

The Virality Predictor is an app listed on Higgsfield's Apps page with the line "Predict how viral your video hook is before you post". Higgsfield is an online platform where you make AI images and video, and this app is one of its tools. The page gives no price, no limits and no description of the method.

Here is what independent sources say, labelled as such. A community post dated 11 May 2026 describes it as a free experimental preview that takes clips of up to 15 seconds and returns a virality score, a hook score, a hold rate and a "brain heatmap". A second independent blog says it runs on credits. These two disagree, so I do not state either as fact. Credits are the points Higgsfield charges for each action. Check the cost shown on the button before you run it, and see the credits explainer if you want to budget.

The most important fact is what is missing. The independent write-up says Higgsfield has not published the training data or any accuracy figures. So there is no number that tells you how often a high score matches a good real result. That is why I use it as a pre-screen, not as a verdict. For a fuller look at the tool itself, see the Virality Predictor review.

How to use it safely for a client

• Same body, different openers. Cut each candidate to the same length, no more than 15 seconds, so the tool compares hooks and not different videos.
• Tie-breaker or veto, nothing more. Use it to order hooks that your rubric scored close together. Keep a hook that your people loved even if the tool scored it low. Drop a hook the tool and your rubric both dislike.
• Judge the 15 second cut, not the whole ad. A hook that scores well can sit on top of a body that loses people. Hold needs its own check.
• Do not treat the heatmap as science. One newsletter guessed at how the heatmap is made. Higgsfield has not said. Look at it as a picture, not as proof.

The honest value is that it gives you a second opinion in minutes. The honest limit is that you do not yet know how much that opinion is worth. The sheet in the next section fixes that, because it records the tool's score beside the real result.

Option 4: Paid hook-analysis tools, and when they are worth it

A different group of tools does not predict. It reads your real ads and tags them. Segwise is a creative analytics tool that tags hooks across your running video ads and links them to results. Its own pricing page prints a Growth plan at $499 a month billed monthly (for advertisers spending up to $250K a month on ads) and a limited-eligibility Startup plan at $250 a month (under $50K a month in ad spend). Foreplay is a swipe-file tool that saves competitor ads and shows how long they have been running; its own pricing page prints $59, $175 and $459 a month for its three plans, billed monthly. Segwise's guide also names other creative analytics tools, such as VidMob and Marpipe. Motion, another creative analytics tool, shows how a hook score can come from real data: its help page builds the score from thumbstop rate and first-frame retention on ads that have already run, and treats 60 as average.

These are better than a predictor in one case. If you run a live ad account with many videos, they show which hooks worked in your real data, which no predictor can do. For an agency testing fewer than ten hooks, they cost more than the problem is worth. Meta's own ad reports already give you the two numbers (3-second plays and impressions) to work out hook rate for free once ads run.

One dataset is worth knowing about as a tiebreaker only. The clip tool quso.ai classified 121,820 short-form hooks and found that "social proof" hooks had a median of 232 views against 177 for "authority" hooks, about a 31% gap. That counts organic views, not paid ad results, and quso.ai itself says that a strong hook versus a weak one matters more than the type of hook. So do not choose a hook type from this. Choose a strong execution.

Combine them: a one-page ranking sheet

This is the deliverable I would hand a client. One row per hook. The first three columns fill in before any money is spent. The last three fill in after the real test.

Hook	Rubric score (0 to 10)	Tool score, if used	Real hook rate	Real hold	Verdict
A: problem callout	8.5	Fill in	Fill in	Fill in	Test
B: stat drop	6.0	Fill in	Fill in	Fill in	Drop
C: before and after	9.0	Fill in	Fill in	Fill in	Test
D: founder greeting	3.5	Fill in	Fill in	Fill in	Drop

The scores above are made up to show the layout. After about ten tests you have your own evidence. Do the tool scores line up with the real hook rates in your clients' accounts or not? If they do, keep using the tool as a filter. If they do not, you saved yourself from trusting it, and you did it with your own data. That sheet is also a reusable asset: it is the proof behind a paid testing sprint.

If the video makes claims or shows people, add a column called "claim check". The hook is where the boldest line usually goes, such as "this saved me 10 hours". Someone should check that the claim is true and that any real person shown has agreed to appear.

Test the top two for real: what to measure and when to call it

Pick the top two hooks on your sheet and run them against each other with the same body, the same audience and the same budget. The mechanics of changing only the first three seconds are covered in the ad hook tests guide, and if you have many versions the 20 variations plan keeps the test readable. Here are the decision points that matter for ranking:

• Minimum sample. Do not call a winner on a few hundred views. As a starting rule, which is a simple guide and not statistics, wait for at least 1,000 impressions per version, and for a gap bigger than the normal day-to-day swing you see on a single ad.
• Delivery is not equal. Ad platforms may show different versions to different people. Keep audience settings the same and expect some noise.
• Score per placement. A hook that works muted on Reels may not work with sound on a YouTube Short. Do not reuse one score everywhere.
• Judge in order. Hook rate first, then hold, then clicks and results. A hook that wins on rate but loses on results is a curiosity trap.

Some benchmark rules of thumb circulate, for example a hook rate of 20 to 25% on Meta Reels, repeated in a Segwise guide and credited there to another source. I have not read the original, so treat any such number as a conversation starter and compare your own ads against each other instead. If you want to cut several openers from one finished video, the test ad hooks page covers a locked-body method for that, and which video will perform looks at choosing between whole versions.

What to put in the client note, and what never to promise

Write the result up in five lines: the rubric you agreed, who scored, the ranking, what you will test, and what you will measure. Then add one sentence that protects both of you: "Scores are used for shortlisting only. Results depend on audience, budget, offer and timing."

Never promise that a high score means a high result. The independent write-up of the Virality Predictor itself lists posting time, follower base and the trend of the day as things no score can see. Never promise a number such as a hook rate. And never imply that a tool score replaces a test. Rights matter too: you need agreement from anyone whose face or voice appears, and where a claim has to be real, keep the real footage. Check local law and each platform's current rules on labelling AI content.

Who should skip the predictor

• Teams testing fewer than about ten hooks. A blind rubric and five real people are free and easier to explain.
• Anyone with a live ad account and many running videos. A tool that reads your real results, or simply the hook rate you work out from Meta's own reports, is a better arbiter.
• Anyone who needs a number to promise a client. There is no published accuracy, so you would be promising something nobody has measured.
• Anyone whose clips are over 15 seconds and cannot be cut down for a fair comparison.

How I'd approach this

I would sell the client a decision process, not a score. Agree the rubric first, run the blind scoring, and shortlist two hooks. If you want a second opinion, run all the candidates through the predictor and log the score next to the rubric score and later the real hook rate. After ten tests you will know whether it tracks results in your accounts. If you want to try it, you can look at Higgsfield's plans and check what the run costs first.

Keep the sheet as your own record. If you do this for many clients, the sheet, the rubric and the approvals deserve a proper home. Blur Studio builds the repeatable workflow, approval portal or shared asset library around tools like these; see how I work with agencies. For planning how many test runs you can afford, the weekly ad refresh routine is a good companion.