Reading Your Analytics in 10 Minutes a Week: The Only Metrics That Matter

For each short, you only need four numbers. They follow the order a viewer goes through your video:

1. Did they stay past the opening? YouTube calls this "Stayed to watch." Instagram flips it and shows a skip rate.
2. How much of it did they watch? Average percentage viewed, or average watch time.
3. Did they pass it on? Shares, plus saves where the platform shows them.
4. Did they follow? New followers or subscribers from that video.

Compare each number with your own recent videos. Benchmarks from blogs don't help much, for reasons covered below. The first weak number tells you which part of the video to fix next time. Everything else in your dashboard can wait for a monthly look, or you can skip it.

That's the whole method. The rest of this post shows where each number lives on each platform, how to read it, and a 10-minute routine with a scorecard that does the math for you.

Four numbers, read in the order your viewer watches

Each number answers one question about one part of the video. Reading them in order matters. If people swipe away in the first two seconds, the rest of the video barely got a chance, so there's no point judging the ending.

These four line up with what the platforms say they reward. TikTok's own explanation of the For You feed says that finishing a longer video counts as a strong signal. It also says follower count is not a direct factor. Instagram's ranking explainer says the most important Reels predictions are how likely you are to reshare a reel, watch it all the way through, like it, and go to the audio page. Adam Mosseri has also told creators to look at sends per reach more than anything else.

Likes and comments are missing from the table on purpose. They're easy to get and tell you less. A like costs the viewer one tap. A share means they put their name behind your video.

What to do with this: write the four questions at the top of a note or spreadsheet. Those are your columns from now on.

Where to find each number

Finding the numbers is where most people give up, because every platform hides them in a different place. Here's the route on each one.

YouTube Shorts. In YouTube Studio, open Analytics, then Content, then the Shorts chip. The "How viewers engaged" card shows Stayed to watch across your Shorts. For a single Short, open it from the Content list and go to its Analytics tab. Shares sit under Advanced mode if you don't see them on the main page.

Instagram Reels. Open the Reel and tap View insights. In April 2026 Instagram split Insights into three tabs (Overview, Engagement and Audience) and added share rate, skip rate and views over time. Skip rate is the share of views skipped in the first 3 seconds. It replaced the old view rate in August 2025.

TikTok. You need a creator or business account. On your phone, go to Profile, then TikTok Studio, then Analytics. On a computer, open tiktok.com/tiktokstudio/analytics (Buffer's guide walks through both). Tap any video to see its average watch time, "Watched full video", traffic sources, and a retention graph that shows what share of viewers were still watching at each second.

Three details trip people up:

• YouTube's average percentage viewed only counts people who stayed. YouTube's help page says it's calculated from engaged views, meaning viewers who stayed past the first seconds. People who swiped away right away aren't in it. That's why a YouTube Short often shows a much higher percentage than the same video on TikTok. Compare YouTube with YouTube only.
• Instagram gives you watch time in seconds. Divide by the length of the video to get a percentage. A 12-second average on a 30-second Reel is 40%.
• TikTok has no single "stayed" number. Read it off the retention graph instead: the percentage still watching at the 3-second mark. Use the same mark every week, or the numbers won't compare.

What to do with this: open each platform you post on and find the four numbers for one recent video. The first time takes a while. After that, it takes about a minute per video.

Compare each video with your own median

Lots of blogs tell you to aim for "75 to 80% stayed to watch" or "a skip rate under 40%." None of the platforms publish a number like that. Bytecap's review of Shorts retention research says YouTube doesn't publish a universal "good retention" threshold. It tells you to benchmark each Short against videos of similar length and topic on your own channel. Metricool's guide to Reel analytics says the same about Instagram: there's no official source on what skip rate counts as good.

The numbers people report vary a lot by niche. In an r/NewTubers thread about Shorts metrics, one creator with 60+ animal Shorts said their channel average is about 35% stayed to watch, and their best video ever hit 74.9%. Another creator in the same thread had 83.8% on a single Short. A "75% target" would tell the first creator that nearly every video failed. That isn't useful.

A median of your own last few videos works better. Take the middle value of each number across the batch. A video 20% or more above it is worth copying. A video 20% or more below it is worth a closer look. YouTube Studio does a version of this already. Its "typical" comparisons and typical retention use your own recent videos of similar length.

Two rules keep the comparison fair:

• Compare videos of similar length. A 15-second video will almost always get a higher watch percentage than a 60-second one. If you post both, keep two separate medians.
• Wait a week before you judge. YouTube's retention data takes 1 to 2 days to process. Shorts also go out in waves. In the same r/NewTubers thread, a creator said they judge a video at day 7 and again at day 28, and ignore the first 12 hours. In their last 28-day top 10, three videos were more than three weeks old.

What to do with this: pick your last 5 to 10 videos of similar length and find the middle value for each of the four numbers. That's your baseline. Update it every month or so.

The 10-minute routine

Do this once a week, on the same day. The timings below are our estimate. They assume 3 to 5 videos a week on one main platform, and that you already know where the numbers are. If you post the same videos on a second platform, check that platform once a month instead of weekly. Most of the time the same videos win on both.

1. Minutes 0 to 1: pick the videos. Look at the ones that went out 7 to 13 days ago, so each one has had a full week. Skip anything newer.
2. Minutes 1 to 6: copy four numbers per video. Views, the opening number, average percentage watched, shares (plus saves), and new follows. Put them in the scorecard below or your own sheet.
3. Minutes 6 to 8: mark the best and the weakest. Compare each video with your median. Which one did best on the most numbers? For each video, which was its first weak number?
4. Minutes 8 to 10: write two sentences. "Make more like ___, because ___." and "Next batch, change ___." Then stop. One change per batch is enough. If you change five things at once, you won't know which one worked.

The scorecard does steps 2 and 3 for you. It turns shares and follows into rates per 1,000 views, so a video with 1,500 views and one with 40,000 views compare fairly. Then it names the first weak spot for each video. The example rows are made up, so replace them with your own.

If you'd rather keep a spreadsheet, the copy button gives you rows that paste straight into Google Sheets or Excel. Our post on whether more editing time gets more views has a tracking sheet that adds editing time as a column, if you want to test that too.

What to do with this: put a 10-minute slot in your calendar for the same day every week. Monday morning works well, because the results feed straight into that week's filming or scripting.

What each weak number tells you to change

The point of the four numbers is that each one points at a different part of the video. Fix the first weak one in the list and leave the others for later.

A note on follows: they're the slowest number to move on short-form. In the r/NewTubers thread above, one creator got 7 subscribers from 6,700 views (about 0.1%). Another said their own rate runs about 0.07%, and summed it up as "Shorts feeds give views easily and subscribers very reluctantly." That's one channel's data. It's still a good reason to judge follows over a whole month rather than per video.

For the opening, captions help when your hook is a spoken line. A lot of people scroll with the sound off, and if the first sentence isn't on screen, they never hear it. Burned-in captions that appear from the first frame fix that. CapCut's auto captions, your editor's preset, or Sycamore's word-synced templates all work. Our post on burned-in captions vs platform auto-captions covers which to use where. On YouTube, the upload screen in the app also has a Get feedback button that analyses your hook and pacing before you post, if your account has it.

What to do with this: take your weakest video from this week and find its first weak number in the table. Write the "what to try" line on your next script.

Numbers you can skip most weeks

Your dashboard shows dozens of numbers. Most of them are fine to look at now and then, but they don't change what you make next week.

• Total views on their own. Views show how far a video traveled, but they can't show you why. On YouTube a view now counts from the first frame, including replays.
• Likes. They mostly follow watch time. If the four numbers are good, likes will be fine.
• Comment count. Read the comments for ideas and questions. The count itself tells you little, and a heated comment section can inflate it.
• Your follower total. Daily ups and downs are noise. Check net follows once a month.
• Demographics and "most active times." These barely change week to week. Check them once a quarter. Our post on best times to post explains why posting time matters less than people think.
• Engagement rate from third-party tools. Each tool calculates it differently, so the numbers don't compare across tools or platforms. Your own rates per 1,000 views are clearer.

What to do with this: if a number isn't in your four columns, don't check it during the weekly 10 minutes. Put anything you're curious about on the monthly list below.

Copy this weekly log

If you don't want to use the scorecard, here's a plain version for a notes app or a sheet. One block per week.

WEEK OF: [date]           PLATFORM: [YouTube / Instagram / TikTok]
Baseline (median of last 10): Hook __%  Watched __%  Shares/1k __  Follows/1k __
 
Video                     Views   Hook%   Watched%   Shares+saves   Follows   First weak number
1. [title]                _____   ____    ____       ____           ____      [opening / middle / shares / follows / none]
2. [title]                _____   ____    ____       ____           ____
3. [title]                _____   ____    ____       ____           ____
4. [title]                _____   ____    ____       ____           ____
 
Best this week: [title]
Why I think it worked: [topic / opening line / format / length]
 
Make more like: ___________________________
Change in next batch (one thing): ___________________________

The "Why I think it worked" line is the one people skip, and it's the most useful. After a couple of months you'll have a list of openings and topics that work for your audience. That's a better playbook than any benchmark. It also makes planning faster. Our guide to planning a month of content in one afternoon starts with exactly this list.

What to do with this: copy the template now and fill in last week's videos. Even three rows give you a first median.

Once a month: a 15-minute deeper look

Some questions need more than a week of data. Once a month, spend 15 minutes on these:

1. Re-check last month's videos at day 28. Some will have picked up a second wave. Update your best-of list if they did. Instagram's views over time chart shows this on Reels.
2. Look at where views came from. On YouTube and TikTok, check the traffic source report. If more views come from search than before, the titles and on-screen words are doing work. Our guide to titles and descriptions for Shorts covers that side.
3. Recalculate your baseline. Use the median of your last 10 videos. If it went up, your average video got better, and you should raise the bar for "worth copying."
4. Check net follows for the month. This is the number that tells you whether the account is growing, and it's too slow to judge week to week.

What to do with this: put a 15-minute reminder in your calendar for the first Monday of each month, right after your weekly check.

The short version

• Check four numbers per video: the opening (stayed to watch, or skip rate), average percentage watched, shares plus saves, and new follows.
• Compare each one with the median of your own last 5 to 10 videos of similar length. No platform publishes an official "good" number.
• Judge videos when they're 7 to 13 days old, and re-check them at day 28.
• The first weak number tells you what to fix: the opening, the middle, the payoff, or the reason to follow.
• Make one change per batch, and write down why your best video worked.
• Use rates, not total views. YouTube now counts a view as soon as any video starts playing.
• Skip likes, comment counts, follower totals and demographics in the weekly check.

Sources and further reading

1. Understand your YouTube content performance, YouTube Help (Stayed to watch, engaged views, how average percentage viewed is calculated, the August 2026 view counting change)
2. "Are these Shorts metrics actually good, or am I missing something?", r/NewTubers, September 2026
3. YouTube Shorts retention benchmarks, Bytecap, updated July 2026
4. Instagram Reel analytics: retention and skip rate explained, Metricool, February 2026
5. Instagram adds retention insights for Reels, Social Media Today, August 2025
6. The biggest Instagram updates from 2026, HeyOrca (the April 2026 Insights redesign)
7. Instagram chief shares insights into its algorithms, Social Media Today, June 2024
8. Instagram ranking explained, Instagram, May 2023
9. How TikTok recommends videos #ForYou, TikTok Newsroom, June 2020
10. TikTok analytics for creators and small businesses, Shea Karssing, Buffer, September 2026
11. TikTok post analytics, Bogna Raszowska, Sotrender, September 2025
12. Measure key moments for audience retention, YouTube Help
13. Get started creating YouTube Shorts, YouTube Help (the Get feedback button and the March 2025 Shorts view change)