Guide · 8 min read

By The Content Engine (organization). Written and reviewed by the Content Engine editorial team. Published 2026-10-30 · Last reviewed 2026-10-30

How to See Saves and Shares on an Instagram Post, and What a Good Save Rate Is

Open your post and tap View Insights: Instagram shows saves and shares as counts, for posts on a public account, for up to two years. It does not show who saved. There is no official good save rate, so divide saves by reach and compare each post with your own median.

How do you see saves and shares on an Instagram post?

Instagram's Help Center says you can view insights on organic and boosted posts you create, that you need a public personal or professional account, and that post insights stay available for up to two years. The steps it lists: tap your profile, tap the post, then tap View Insights. It names the available insights as Views, Interactions (such as likes, comments, saves and shares) and Profile activity.

1. Open your profile and tap the post.
2. Tap View Insights.
3. Read saves and shares under interactions; write them down, with reach or views, in your log on the same day each time.

The Help Center page lists counts only. We found no documented way to see who saved or shared a post, and no way to see another account's saves or shares. Menus change, so check the page below if your app looks different.

What is a good save rate on Instagram?

No official benchmark exists, and we would not trust a single number. The largest public figures we opened are Socialinsider's report on 21 million posts: a save rate of 0.05% for carousels, 0.04% for Reels and 0.02% for images, but as a share of followers, not of reach. Your own insights give saves per reach, so the two cannot be compared directly. Use the report for the gap between formats, and judge your own posts against your own median of the last 10 to 20 posts of the same format.

Which carousel numbers can you actually get?

Before any formula, sort the numbers by who can see them. Mixing the three groups is the main source of bad analysis, including ours at one point.

Meta's developer reference defines reach as the unique accounts that saw the media, and saved as the number of times the media was bookmarked. It lists total_interactions as likes, saves, comments and shares, minus unlikes, unsaves and deleted comments. That last line is a useful reminder that totals include the noise.

The row that matters most is the last. Many carousel guides quote a "12 slides lose 40% of viewers" style curve. We looked for any published slide-by-slide drop-off curve and found none, and the handful of figures we traced did not cite a dataset. If your in-app insights show something per slide, good; the API reference we read does not document it. Nobody outside Instagram has the underlying numbers, so be sceptical of anyone who does.

What should you calculate from your own insights?

Raw counts mislead because they scale with reach. A post seen by 50,000 people will have more saves than one seen by 2,000 even if it is a worse post. Divide by reach.

• Saves per reach = saves divided by reach. This asks: of the people who saw it, how many wanted to keep it?
• Shares per reach = shares divided by reach. This is the closest public analogue of the sends Adam Mosseri has said matter. In January 2025 he named watch time, likes and sends as the top three signals, and said sends are slightly more important for content from accounts the viewer does not follow.
• Comments per like = comments divided by likes. Useful to see whether a post sparked conversation or just approval, and the only one of the three that works on public data.

One caution on benchmarks. Socialinsider's report on 21 million posts expresses rates as a share of followers, not of reach, so its numbers (carousel save rate 0.05%, Reels 0.04%, images 0.02%) are not comparable with a saves-per-reach figure from your own insights. Do not put your number next to theirs. Use their data to see the shape of the gap between formats, not to grade yourself.

What does the public data look like?

With nothing but public numbers you can still learn something. Across 115 carousel posts in our corpus that show likes, the distribution of comments divided by likes is wide and skewed:

Our own data, October 2026. n = 115 posts with visible likes (15 more hide likes and are excluded). Comments per 100 likes. The top of the range is dominated by comment-keyword posts, which we discuss in the comment-to-DM explainer.

Two things follow. A median post gets about four comments per hundred likes, so any post that ends up near 70 has been doing something different, and the usual something is a keyword ask. And a number like "average engagement" is meaningless across this spread. That is why we compare to the median.

The second public-data lesson is how far a single post can run from the account's typical result. For the 12 accounts that had at least five posts with visible likes, the best post had a median of 7.5 times its own account's median likes. The range was 2.3 times at the quietest account to 285 times at the loudest. One post breaking out is common, and tells you little about the next one. This is why we mark outliers as posts of at least 1.5 times the account median and then check, not assume, what they have in common. In our nine-variable test of design differences, nothing separated those outliers from median posts: see the test.

What is the own-median method, step by step?

1. Make a log. A spreadsheet is fine. One row per post. Columns: date, format, hook pattern, goal (save, share or comment), reach, likes, comments, saves, shares, followers at posting.
2. Fix a window. Record numbers at the same age for every post, say seven days. The curve of a post's life is not published, so consistency matters more than the exact number.
3. Compute three ratios per row. Saves per reach, shares per reach, comments per like.
4. Take medians. Median of each ratio over the last 10 to 20 posts of the same format. Do not mix carousels with Reels; they behave differently, as the carousel versus Reel numbers show.
5. Mark outliers. A post at 1.5 times your median or more is a lead. A post at half of it is a signal too.
6. Change one thing at a time. Write the hook as two variants for the same idea (see the hook patterns) and publish in matching slots. Re-run the medians after ten posts.

This is deliberately boring. It is also what produced the most reliable conclusion in our own research, which was a negative one: when we shuffled the labels of outlier and median posts 5,000 times to test nine design variables, none was significant at p below 0.05. A raw gap that looked meaningful would have been reported as a finding without that test.

Where does the Graph API fit?

If you pull data by API, the Instagram Media Insights reference lists metrics including reach, saved, shares, total_interactions, views, profile_visits and follows, and, for Reels, average watch time and skip rate. It also states that insights data is not available for any media within an album, which means the carousel as a whole is the unit. The practical step is to ask for the metrics you want on the album's media ID and see which return for your media type, because availability differs by type and version. Do not build a dashboard on a metric you have not seen return for a carousel.

The reference also marks some metrics, such as views and total interactions, as in development. Re-check the page before you rely on it, and note the date you did, as we have in the sources below.

What mistakes make measurement misleading?

• Treating hidden as zero. One account in our corpus hides likes. Our first parser read the missing counter as 0, and the analysis reported a median of 0 likes. Hidden is missing data, not a number, and now those posts are excluded and never zeroed.
• Judging at hour one. A post's first hour is not its life. Choose a window and keep it.
• Comparing across formats. A Reel's saves per reach and a carousel's are different animals. Compare like with like.
• Believing a save means use. A save is intent. We cannot see what happens afterwards.
• Chasing one outlier. One post at 7 times your median does not mean its hook is a formula. Write it down, try it again, and see.
• Using other accounts' private numbers. Tools that show competitor saves are estimating. Public likes and comments are the only reliable numbers on someone else's post.

If you are still deciding how many posts to make so that your medians mean anything, start with how often to post. Ten posts at a steady rhythm will give you more than thirty at random.

Frequently asked questions

Sources and our data

• Instagram Help Center: View insights on your Instagram posts — opened 2026-10-30; steps, public account requirement, two-year availability, insight names
• Meta for Developers, Instagram Media Insights reference: definitions of reach, saved, shares and total_interactions; "Insights data is not available for any media within an Instagram Media album"
• Socialinsider Instagram Engagement Report (21,286,536 posts, Oct 2025 to Mar 2026): action rates are shares of followers, averaged per format; the report contains no reach or posting-frequency finding
• Social Media Today, 22 January 2025: Mosseri on watch time, likes and sends as the top three ranking signals
• Our own data: 130 carousel posts from 18 accounts, public like and comment counts collected logged out in October 2026. 15 posts hide likes and are excluded; 115 posts have likes. Percentiles of comments divided by likes are over those 115. The best-to-median likes ratio covers the 12 accounts with at least five posts that show likes.
• Our own demand check, 2026-10-30, Google suggest endpoint: "how to see saves on instagram" and "how to see who saved your post on instagram" each returned 10 suggestions, "what is a good save rate on instagram" returned 3, while "instagram insights saves shares", "instagram carousel analytics" and "instagram carousel swipe through rate" returned none or only an echo. The title follows the first group.
• Our own research note: a first parser read a hidden like count as zero and reported a false median of zero likes for one account, until we excluded those posts.

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