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Video Retention Rate Calculator

Social Media

Two numbers off one moment

How many plays started, and how many people were still there at the moment you care about. Shorthand such as 12,000 or 1.2k works. Nothing is sent anywhere — the page makes no network calls at all.

Plays that began, not impressions
At the checkpoint below
Seconds, m:ss or h:mm:ss — used for labelling only
Only changes which conventional range the value is read against — never the maths

Retention at 0:30

61.0%

7,320 of 12,000 plays were still watching.

61.0%still watching — 7,320left — 4,680The whole track is the 12,000 plays that started.

Retention

61.0%

still watching ÷ plays started

Drop-off

39.0%

100% − retention

Viewers lost

4,680

plays started − still watching

Low (0–30%)Typical (30–50%)High (50–100%)0%25%50%75%100%this checkpoint 61.0%

Typical ranges, not official benchmarks: these edges are creator rules of thumb in wide circulation, not figures published by any platform or named study.

Where these numbers come from

Every retention, drop-off, percentage-viewed and watch-time figure on this page is arithmetic on the numbers you typed or pasted. Nothing is fetched, no account is looked up, and no analytics API is called — the page makes no network requests at all.

The guidance bands are a convention, not a measurement
The 30%/50% long-form edges, the 50%/80% short-form edges and the 50% mark on a 30-second hook are creator rules of thumb in wide circulation. No platform publishes a typical retention figure, and no named, dated study could be found for any of them, so they are shipped as one clearly-labelled reading convention rather than dressed up as per-platform benchmarks. They sit in a field of their own, away from every measured figure, for exactly that reason. Compare a video against your own back catalogue at the same length and format before you compare it against these.

The one outside figure used here is the watch-hours bar in the average-view-duration tab: 1,000 subscribers and 4,000 valid public watch hours in the past 12 months for the main YouTube Partner Programme tier. Source: YouTube Help — “YouTube Partner Program overview & eligibility” (support.google.com/youtube/answer/72851), checked 7 September 2026. The alternative Shorts route — 1,000 subscribers and 10 million valid public Shorts views in 90 days — is not modelled, and which watch hours count as valid is YouTube's call, not this page's.

What the tool cannot see: whether a play was autoplayed or chosen, how much of the drop-off is bot traffic, and whether the curve you pasted is absolute or relative retention. It reads the numbers you give it and does the division.

About This Tool

Video Retention Rate Calculator – Where the Audience Leaves

Views count the people who arrived. Retention counts the people who stayed, and it is the only one of the two that tells you anything about the video. Every platform measures it, and every platform hands it back in a different shape: YouTube Studio draws a curve, TikTok gives a percentage watched, Instagram Insights gives raw viewer counts, and Meta Business Suite gives an average view duration and leaves the division to you. This calculator turns whichever of those you actually have into the figures the others would have given you.

How to calculate video retention rate

Three divisions carry the whole page. Everything else — the curve, the half-life, the drop-off strip — is one of them repeated at every point in time.

retention % = viewers still watching ÷ views started × 100 drop-off % = 100 − retention % average % viewed = average view duration ÷ video length × 100 total watch time = views × average view duration watch hours / 1,000 = 1,000 × average view duration ÷ 3,600

A 60-second clip with 12,000 plays and 7,320 viewers still there at the half-minute mark is holding 7,320 ÷ 12,000 × 100 = 61.0% — a drop-off of 39.0%, or 4,680 people gone. A long-form upload handed back the other way — a 3:42 average view duration on a 10:00 video — is a 37% average percentage viewed, and across 48,000 views that is 2,960 watch hours.

Reading a retention curve

A single percentage tells you that people left. A curve tells you where, which is the only version you can act on. Four features are worth naming, and this tool reads all four off whatever points you supply.

The steepest drop is the consecutive pair with the largest fall in percentage points. Because analytics exports rarely sample evenly, the tool also reports points lost per second, so a 5-point fall across two seconds is correctly ranked as worse than an 8-point fall across twenty. The retention half-life is the moment the curve first crosses 50%, interpolated between the two bracketing samples rather than rounded to the nearest one — it is the single cleanest way to compare videos of different lengths. The hook is retention at 3 seconds and at 30 seconds, the two checkpoints creators are judged on most. And the completion rate is the value at the end — which this tool will only call a completion rate when your last data point actually lands within 2% of the stated video length, and otherwise labels honestly as retention at the last data point.

Why the first three seconds always collapse

Every autoplay, every mistaken tap and every scroll-past registers as a play the instant it begins. The opening seconds of any curve are therefore measuring a decision, not a viewing — and a fall of twenty or thirty points through the first three seconds is ordinary on every platform. What matters is not the size of that first cliff but where the curve flattens, and how high. A video that steadies at 60% and slides gently has a different problem from one that steadies at 60% and falls off another cliff at forty seconds.

When percentage viewed goes over 100

Above 100% is a real result, not an error
On looping surfaces — TikTok, Reels and Shorts — a replay adds watch time without adding a new play. A 22-second clip with a 27.5-second average view duration reports 125%, which means the average viewer watched it through more than once. This calculator keeps that number as measured and caps only the drawn bar, because rounding it down to 100% would hide the single strongest signal short-form analytics produces.

Absolute versus relative retention

Absolute retention is the share of everyone who started the video that is still watching at a given moment. That is what this calculator computes, and what a pasted viewer-count column contains. Relative retention compares that same curve against other videos of a similar length on the same platform, so it answers a different question: not how many stayed, but whether more stayed than usual. If your analytics offers both, use the absolute curve to find the moment that is losing people and the relative curve to decide whether it is worth fixing.

What retention is worth

Watch time is views × average view duration, so retention is a multiplier on traffic you have already paid for. Lifting an average view from 30 seconds to 45 is worth exactly as much as adding half again as many views, and it is usually far cheaper. The watch hours per 1,000 views figure exists to make that trade visible in a single number you can carry between videos.

Bands are conventions, your back catalogue is data
The typical ranges this tool draws — roughly 30–50% for long-form and 50–80% for short-form — are rules of thumb in wide circulation, not figures published by any platform or named study, and they are labelled that way wherever they appear. The comparison that actually means something is the same channel, the same format and the same length, one month against the next.

Nothing on this page leaves your browser. Type the numbers, paste a column out of a spreadsheet, or load the sample curve — the arithmetic runs locally and no analytics account is ever touched.

Frequently Asked Questions

Is the Video Retention Rate Calculator free?

Yes, Video Retention Rate Calculator is totally free :)

Can I use the Video Retention Rate Calculator offline?

Yes, you can install the webapp as PWA.

Is it safe to use Video Retention Rate Calculator?

Yes, any data related to Video Retention Rate Calculator only stored in your browser (if storage required). You can simply clear browser cache to clear all the stored data. We do not store any data on server.

How does this video retention calculator work?

It is arithmetic on numbers you read off your own analytics — nothing is fetched and no account is looked up. Retention at a checkpoint is viewers still watching ÷ plays that started × 100; average percentage viewed is average view duration ÷ video length × 100; total watch time is views × average view duration. Paste or type a whole curve and the same arithmetic runs at every point, then the steepest drop, the half-life and the hook checkpoints are read off it.

What counts as a good retention rate?

There is no published figure to hold you to, and this tool says so rather than inventing one. The bands it draws — under 30% weak, 30–50% typical and over 50% strong for long-form, and 50%/80% for short-form — are creator rules of thumb in wide circulation, not measurements from any platform or named study, and they are labelled that way everywhere they appear. The number that actually matters is your own: the same video's retention this month against last month, on the same length and the same format.

What is the difference between absolute and relative audience retention?

Absolute retention is the share of everyone who started the video that is still watching at a given moment — that is what this calculator computes. Relative retention compares that curve against other videos of a similar length on the same platform, so it answers a different question: not how many stayed, but whether more stayed than usual. If your analytics offers both, the absolute curve tells you where the problem is and the relative one tells you whether it is a problem at all.

Why can average percentage viewed be more than 100%?

Because on looping surfaces — TikTok, Reels and Shorts — a replay adds watch time without adding a new play. A 22-second clip watched through 1.25 times on average reports an average view duration of 27.5 seconds, which is 125% of the video. That is a signal of a rewatchable video, not a broken number, so this tool reports the value honestly above 100% and only caps the drawn bar.

Why do the first few seconds always drop hardest?

Because the opening is where a decision gets made rather than a video gets watched. Every autoplay, every mistaken tap and every scroll-past counts as a play the moment it starts, so the first seconds carry viewers who never intended to watch at all. A steep fall through the first three seconds is normal on every platform; what matters is where the curve flattens out and how high it flattens.

How does retention feed watch time and reach?

Watch time is views × average view duration, so retention is the multiplier on every view you already have — lifting average view duration from 30 to 45 seconds is worth as much as half again the traffic. The tool shows watch hours per 1,000 views precisely so that trade is visible, and checks the total against YouTube's published 4,000 valid public watch hours requirement for the main Partner Programme tier when you supply a view count.