For a phrase that determines a lot of how social media and the creator economic system function, engagement will be fairly onerous to pin down. So, we seemed on the knowledge.
This report paperwork how engagement works throughout social media in 2026. Not how we want it labored or not how platforms promote it — however what the information exhibits.
To grasp what’s truly taking place throughout feeds proper now, we dug into tens of thousands and thousands of posts revealed by means of Buffer — engagement baselines, reply habits, posting frequency, and the way totally different codecs carry out throughout platforms.
The brief model: In case you’re spending extra vitality searching for the right time to put up than you might be replying to the individuals who confirmed up, the information suggests you could be overthinking it. Engagement means one thing totally different on each platform, and essentially the most highly effective factor a creator can do is not about format or posting time — it is speaking again to the individuals partaking with them. (So long as you are still posting constantly; that issues too.)
Throughout six platforms and almost two million posts, accounts that reply to feedback constantly outperform people who do not — by as a lot as 42% on Threads and 30% on LinkedIn. That does not imply replies trigger engagement. However it’s one of many strongest patterns we discovered, and — we expect — one of the crucial untapped.
Past replies, issues get messier. Typical engagement charges range by greater than 2x between the very best and lowest platforms. 12 months-over-year motion is break up between platforms which might be climbing and people which might be dropping, and the explanations aren’t all the time what you’d count on. Format efficiency varies quite a bit from platform to platform — what works on one community would not essentially translate to a different. (We discovered that one the onerous means throughout our personal channels.)
We constructed this report back to be a reference, not a rulebook. The baselines can assist you perceive what “regular” appears to be like like, so you may set extra lifelike targets.
We had numerous enjoyable placing this collectively — and we’re already making use of what we discovered throughout Buffer’s channels and our personal. We hope it is as helpful for you as it has been for us.
Every discovering under will get its personal part later within the report — we have included cross-references so you may skip straight to the elements that matter most to you.
use this report
We actually needed this report back to be sensible — one thing you can truly use in your social media technique. With that in thoughts, here is the place I would begin:
- Examine baseline engagement charges first. “Typical” engagement appears to be like fairly totally different from platform to platform — and the numbers aren’t straight comparable throughout networks. Understanding what regular appears to be like like makes every little thing else on this report extra helpful.
- Then dig into the platforms you care about. The format and method breakdowns get particular. What works varies greater than we anticipated.
- Save timing and frequency for final. They matter, however they seem to be a secondary layer. Timing and frequency are value optimizing as soon as you already know what content material is touchdown, however not the place to start out.
The baseline actuality: ‘engagement’ isn’t only one factor
Earlier than we get into what works and what would not, let’s get clear on what “engagement” even means — as a result of it is not the identical on each platform.
Every community defines it in a different way — LinkedIn, for instance, consists of clicks in its engagement price, whereas most different platforms do not — and a few do not even present the inputs for a comparable engagement price.
These medians symbolize typical efficiency in Buffer’s dataset, relatively than common benchmarks. (We want common benchmarks existed. They do not.)
2025 baseline for engagement throughout platforms
In Buffer’s cross-platform dataset, typical engagement price is clustered into tiers:
- Increased median engagement: LinkedIn (~6.2%), Fb (~5.6%), Instagram (~5.5%)
- Mid-tier: TikTok (~4.6%), Pinterest (~4.0%), Threads (~3.6%)
- Decrease median engagement: X (~2.5%)
Engagement is uneven — and it’s shifting
12 months over yr (from 2024 → 2025), platforms moved in numerous instructions:
- Up: X (~+44%), Pinterest (~+23%), Fb (~+11%)
- Flat-ish: TikTok (+~3%)
- Down: LinkedIn (~-5%), Threads (~-18%), Instagram (~-26%)
A phrase of warning on these numbers: a drop in engagement price doesn’t suggest a platform is in decline. It might replicate adjustments to the algorithm, a shift in who’s posting or how usually, or just that the platform is rising and engagement hasn’t caught up but.
Instagram for instance, has more and more steered creators towards views as its major success metric over the past yr, which implies the normal engagement price system could also be measuring much less of what Instagram is definitely optimizing for. Equally, an increase would not mechanically imply a platform is flourishing for everybody.
As Julian Winternheimer, Buffer’s knowledge lead, notes: “The dramatic adjustments in some metrics — notably X’s 44% enhance, which led to a transfer from a decrease baseline (1.96% to a 2.83% median engagement price)seemingly replicate adjustments within the consumer base or metric definitions relatively than real efficiency enhancements.”
Buffer’s rising, evolving consumer base may also play an element in these shifts, he provides.
“The composition of accounts adjustments, which might have a much bigger influence on medians than precise platform efficiency.”
12 months-over-year adjustments can level us in the suitable path in the case of understanding platforms, however they do not inform the entire story on their very own.
Replying works on each platform
One habits confirmed up constantly throughout very totally different networks: posts the place creators or manufacturers reply to feedback are likely to earn extra engagement than posts the place they do not. We anticipated this to be true on some platforms — we did not count on it to carry up on all six.
Estimated engagement elevate when replies are current:
- Threads: +42%
- LinkedIn: +30%
- Instagram: +21%
- Fb: +9%
- X: +8%
- Bluesky: +5%
Now, we won’t say with absolute certainty that replying causes greater engagement. It is potential that posts that carry out properly naturally appeal to extra feedback, and creators are then extra more likely to reply as a result of there’s extra exercise to reply to. However the evaluation compares every account in opposition to its personal baseline, not in opposition to different accounts. And the identical sample confirmed up throughout all six platforms, which actually is not one thing we see usually in this type of knowledge.
Nevertheless, that is the place the consistency ends.
Codecs don’t translate from platform to platform
Format efficiency varies quite a bit from platform to platform — what works on one community would not essentially translate to a different. And typically the reply adjustments relying on whether or not you are optimizing for attain or engagement on the identical platform.
Just a few highlights:
- Instagram behaves like two platforms. Reels get 36% extra attain than carousels — however carousels earn 12% extra engagement. A part of this break up comes all the way down to how engagement price is calculated: Reels are optimized for views and attain, which dilutes their per-impression engagement price. Relying in your targets, these are two totally different methods.
- LinkedIn is carousel-dominant for engagement. Carousels earned a median engagement price of 21.77% — roughly 3 times that of video and pictures. Even a below-average carousel performs about in addition to a typical video or picture put up.
- Threads rewards visuals greater than its “text-first” positioning suggests. Nevertheless, there’s sufficient overlap throughout codecs that any kind of put up can do properly.
- Fb’s format gaps are tiny. Pictures, video, and textual content all land inside one share level of one another. Format issues much less right here than nearly anyplace else.
- X is more and more tiered. Textual content posts lead in engagement, however the Premium divide issues greater than format right here. After January 2025, Premium and common account engagement charges break up sharply — and in the newest months of the research, the median engagement price for normal accounts hit 0%.
Timing and frequency are amplifiers of engagement
High-performing accounts publish extra usually and extra constantly than the median account. However there is not any single “greatest time to put up” or magic variety of posts per week that works throughout platforms, niches, account sizes, or groups (although we are able to make some per-platform suggestions for when posts are likely to carry out properly).
What we can say: going quiet has an influence.. In our frequency evaluation of 4.8 million channel-week observations, accounts that did not put up in a given week constantly underperformed their very own baseline development charges. Any posting was higher than not posting in any respect, and that held throughout platforms.
Posting extra usually provides you extra possibilities to be seen. Posting on the proper time improves these possibilities. However the largest lever continues to be creating content material individuals genuinely need to interact with.
We all know methodology sections aren’t the explanation anybody opens a report. However should you’re the sort of one who needs to know the way the sausage will get made — or should you’re planning to quote any of those numbers — that is for you.
Each part of this report rests on the identical dataset, the identical metric definitions, and the identical interpretation guidelines. When a selected part departs from these defaults, we word it.
Knowledge sources and scope
Sources: Posts revealed by means of Buffer throughout the platforms included on this report.
Throughout the research that inform this report, which incorporates tens of thousands and thousands of posts — from 18.8 million X posts within the Premium evaluation, to fifteen.7 million posts within the frequency and engagement research, to almost 2 million posts throughout six platforms within the reply evaluation.
What this represents: Buffer customers and Buffer-posted content material solely. It is not a full-platform view of any community, and we do not deal with it as one.
Time home windows: Except in any other case said, cross-platform baselines use 2025 knowledge with year-over-year comparisons to 2024. Our most up-to-date knowledge runs by means of December 3, 2025. Some platform deep-dives use totally different home windows based mostly on the underlying research (e.g., the Instagram format evaluation that makes use of January 2022 – October 2024).
Eligible accounts (baseline and development analyses): To scale back noise from dormant or one-off posting, accounts should meet minimal exercise thresholds — posted at the very least 10 instances previously yr, throughout at the very least 4 totally different weeks.
What ‘engagement’ means on every platform
“Engagement” is platform-defined. The place potential, we use engagement price. The place that is not accessible, we use the strongest proxy the platform supplies.
Engagement elements by platform (as used on this report):
- Instagram: likes + feedback + shares (format evaluation may reference Instagram’s broader definition, which incorporates saves, the place accessible)
- Fb: reactions + feedback + shares
- X: likes + retweets/reposts + feedback
- LinkedIn: whole engagements
- Threads: likes + reposts + replies + quotes
- TikTok: engagement price (engagements ÷ attain)
- Bluesky: likes + feedback + reposts
Engagement price definition (when accessible): engagements ÷ attain, the place attain is the variety of distinctive accounts that noticed the put up. That is carefully aligned to the information now we have for every platform in Buffer. Nevertheless, it is value noting that not each platform defines or studies attain the identical means. The place attain is not accessible, we use the closest equal (like impressions or views).
These elements range in intent — a save and a reply are very totally different behaviors. We get into that extra within the caveats under.
Throughout the report, we default to median metrics.
Social efficiency distributions are closely skewed — a small variety of viral posts and really giant accounts can pull averages removed from what most individuals truly expertise. Medians give a greater image of what “typical” truly appears to be like like.
The exception: When the query is about relative change throughout the identical account (e.g., does replying to feedback correlate with higher efficiency for this account?), we use within-account modeling — fixed-effects regression and z-score evaluation — relatively than combination medians.
This lets us examine every account to itself over time, which is a fairer take a look at than evaluating accounts of very totally different sizes to one another. A number of of the research under use this method; we’ll word the specifics (dataset dimension, platforms, validation) in every one relatively than repeating the total rationalization.
What you may (and may’t) examine throughout platforms
We comply with two guidelines all through the report back to hold comparisons honest:
- Examine like with like. Platforms the place now we have engagement price knowledge (LinkedIn, Fb, Instagram, Threads, X, Pinterest, and typically TikTok, relying on accessible fields) will be in contrast to one another. Platforms the place we use a proxy metric — Bluesky and Mastodon (whole interactions) and YouTube (views) — should not be ranked in opposition to engagement-rate platforms as in the event that they’re measuring the identical factor.
- Deal with every platform’s metric as a within-platform benchmark. After we say a platform “leads,” it means it leads inside its personal measurement lens — not that it is universally “higher” than one other platform utilizing a unique metric.
What to remember when studying this report
These apply to each part until we are saying in any other case.
- These are patterns relatively than guidelines. Most findings are observational. We report patterns which might be secure within the dataset with out claiming they will maintain throughout each area of interest, account dimension, or group.
- Who’s posting might have modified, too. 12 months-over-year motion can replicate platform adjustments and shifts in who’s posting — adoption patterns, account combine, trade combine, and maturity. We will not all the time separate the 2.
- Platforms change continually. Options, rating methods, and UI surfaces evolve on a regular basis. Our findings describe how content material carried out within the window we measured, not the way it will carry out eternally.
- Not all engagement is similar habits. A like, a save, a repost, and a reply carry very totally different intent. They’re counted as “engagement” the place the platform defines them that means, however they are not interchangeable — and we strive to not deal with them as if they’re.
How every research works
This report combines a number of analyses. Every one makes use of a technique matched to the query it is attempting to reply.
Cross-platform baseline and year-over-year comparisons
- Objective: Set up “typical” engagement by platform and the way it’s moved.
- Metric: Median engagement price the place accessible; in any other case, the strongest proxy metric (views, attain, or interactions).
- Output: Platform tiering, month-to-month development strains, year-over-year deltas.
Reply impact evaluation
- Objective: Measure whether or not replying to feedback is related to greater engagement throughout the identical account.
- Methodology: Inside-account modeling (as described above), evaluating every account to itself over time, controlling for secure variations between accounts and related covariates (account dimension, area of interest, location, the place accessible).
- Output: Estimated engagement elevate when replies are current, by platform.
Content material format efficiency by platform
- Objective: Determine which codecs generate greater typical engagement inside every platform.
- Metric: Median engagement metric per put up by format — engagement price for many platforms, engagement as a share of attain for Instagram, whole interactions for Bluesky and Mastodon, and views for YouTube.
- Output: Ranked format comparisons and relative deltas.
Timing and frequency evaluation
- Objective: Perceive how publishing cadence and posting home windows relate to efficiency.
- Frequency methodology: Examine median weekly posts for high performers vs. all customers. High performers are outlined as the highest 10% of whole weekly engagement inside every platform, every week.
- Timing methodology: Determine higher-performing time home windows by platform, reported as home windows relatively than single “greatest time to put up” slots.
- Output: Cadence and timing framed as amplifiers, not major efficiency drivers.
Posting frequency and follower development
- Objective: Measure whether or not posting frequency is related to follower development throughout the identical account over time.
- Methodology: Inside-account modeling throughout 4.8 million channel-week observations from roughly 161,000 profiles on Fb, Instagram, and X.
- Validation: Z-score evaluation measuring every channel’s weekly development relative to its personal baseline.
- Output: Proof of a optimistic frequency–development relationship, together with a measurable “no-post penalty” (accounts that skip per week are likely to underperform their very own baseline development price).
One final word on how we write about all of this: we state the metric first in each part — engagement price, median engagement per put up, attain, views, or interactions — so that you all the time know what’s being measured. We label the unit of research (post-level, account-level, or week-level). And we default to conservative language — “related to,” “tends to,” “on this dataset” — until the declare is strictly definitional. If we are saying one thing stronger, we have earned it within the knowledge.
Engagement is not the identical throughout platforms.
The identical account can publish comparable content material throughout platforms and see wildly totally different efficiency. That does not essentially imply the content material flopped — each community measures totally different actions, from totally different audiences, in very totally different feeds.
With that in thoughts, let’s check out the fundamentals. This is what “typical” engagement appears to be like like on every platform and the way it’s shifted from earlier years. (In order for you the total breakdown of how we outline engagement by platform, that is within the methodology.)
Typical engagement in 2025
Platforms cluster into clear tiers based mostly on median engagement price:
- Increased median engagement: LinkedIn (~6.2%), Fb (~5.6%), Instagram (~5.46%)
- Mid-tier: TikTok (~4.6%), Pinterest (~4.0%), Threads (~3.6%)
- Decrease median engagement: X (~2.5%)
A lot of the confusion round ‘what’s working’ comes from ignoring these tiers. A put up that generates a 4% engagement price is underperforming on LinkedIn, however outperforming on X.
How the baseline shifted: 2024 → 2025
The one fixed on social appears to be change. This is applicable to baseline engagement charges, too. This is a have a look at how a lot these charges have shifted in only one yr.
Up:
- X: ~+44% (from ~2.0% to ~2.8%)*
- Pinterest: ~+23% (from ~3.2% to ~3.9%)
- Fb: ~+11% (from ~5.0% to ~5.6%)
Flat:
- TikTok: +~3% (from ~4.4% to ~4.5%)
Down:
- LinkedIn: ~-5% (from ~6.4% to ~6.1%)
- Threads: ~-18% (from ~4.4% to ~3.6%)
- Instagram: ~-26% (from ~7.3% to ~5.4%)
Essential context: X’s bounce is the biggest relative achieve within the dataset, although X nonetheless sits on the backside of the engagement-rate rankings. A giant share bounce from a low base.
A word on what’s driving these shifts: 12 months-over-year deltas can replicate actual platform adjustments — algorithm updates, characteristic launches, UI redesigns — however they will additionally replicate adjustments in who’s posting.
In 2025, the variety of posts we analyzed grew considerably throughout most platforms (usually 2–3×). That strengthens our confidence within the 2025 medians, but it surely additionally means the underlying consumer base might have shifted.
A rising mixture of newer, smaller, or differently-niched accounts can transfer medians even when the platform itself did not change in any significant means.
We deal with year-over-year motion as a directional sign, not a closing verdict.
The place engagement price would not apply
Not each platform on this report has a clear engagement price. For some, we’re working with a unique major metric totally — which implies they should not be ranked in opposition to the engagement-rate platforms.
- YouTube Shorts: views. Median views greater than tripled yr over yr (from ~86 in 2024 to ~268 in 2025). That appears like a platform story, but it surely’s seemingly at the very least partly a user-base story. As the combination of accounts publishing by way of Buffer shifts, typical view counts transfer even when the underlying distribution on YouTube is secure.
- Bluesky: interactions per put up (likes + feedback + reposts). The 2025 median sits round ~4 interactions per put up, comparatively secure month to month. 12 months over yr, the median dipped barely (from ~5 to ~4) whereas put up quantity almost quadrupled — an anticipated sample when utilization broadens past early adopters.
- Mastodon: interactions per put up (shares + favorites + feedback). The median held regular at ~3 interactions per put up by means of 2025, with no significant year-over-year change.
With all the above in thoughts, you are in all probability seeing how tough it’s to rank platforms based mostly on engagement price. It is not fairly as cut-and-dried as “LinkedIn has the very best engagement price. Even when metrics are comparable, you are evaluating apples with oranges.
Views, interactions, and engagement price are totally different metrics describing various things, and evaluating them facet by facet is how you find yourself with deceptive rankings.
What we are able to say for positive
Engagement is not evenly distributed throughout platforms, and it doesn’t suggest the identical factor in every single place.
So what does inform you whether or not somebody truly cares about your content material — not simply scrolled previous it or tapped a like out of behavior?
That is the place replies are available.
We have spent numerous this report explaining how totally different all the foremost platforms are, however on this one space, we noticed comparable outcomes throughout the board.
One of the best half is, in contrast to many different components on social, that is utterly throughout the creator’s management: replying to feedback in your posts.
Posts the place the account replies to feedback are likely to earn extra engagement than posts the place they do not.
These findings have been comparable throughout the six networks the place now we have reply knowledge. Right here, we used the fixed-effects method to match every account to its personal efficiency over time, to not different accounts.
The headline numbers
Throughout almost 2 million posts from 220,000+ accounts on Threads, LinkedIn, Instagram, Fb, X, and Bluesky, posts with replied-to feedback constantly outperformed these with out.
Threads: +42% engagement
The biggest elevate within the dataset, and the Buffer group wasn’t stunned to see Threads proper on the high of the record. Threads provides replies uncommon weight in each its UI and its rating. On the profile stage, about two-thirds of accounts carried out higher on posts the place they replied.
LinkedIn: +30% engagement
Throughout the identical account, replying correlates with meaningfully stronger post-performance. LinkedIn additionally provides feedback extra in-feed weight than most different platforms, and now even has impression metrics for feedback on posts. About 83% of profiles carried out higher after they replied — the very best price of any platform within the dataset.
Instagram: +21% engagement
Even after controlling for whether or not posts had feedback in any respect, replying correlates with greater engagement relative to the account’s personal baseline. About 63% of profiles carried out higher after they replied — a smaller share than LinkedIn, however notable on a platform the place the feed is constructed round photos and video, relatively than dialog.
Fb +9.5% engagement
On Fb, we measured reactions — likes, loves, hahas — to see the impact of replies on engagement, relatively than whole engagement. Meaning the elevate would not come solely from the replies themselves, which add to the remark depend. However when an account replies to feedback, the put up will get extra reactions from different individuals (presumably as a result of it’s surfaced extra by the algorithm). The dialog appears to drive a separate, impartial response from the broader viewers.
About 54% of pages carried out higher after they replied. On a platform this large and this mature, even a modest elevate provides as much as actual quantity.
X: +8% engagement
This is the least sure consequence within the set — with smaller reply samples and X’s tiered visibility mechanics, the information would not totally rule out noise. Nevertheless, it is nonetheless statistically vital and directionally per the opposite 5 platforms.
Bluesky: +5% engagement
That is smallest elevate within the set, from smaller samples on a more moderen platform. That stated, it is nonetheless statistically vital and price watching because the platform matures and reply habits turns into extra established.
A little bit extra context
The platforms constructed round dialog, the place replies get actual visibility within the UI and the algorithm, are those the place replying correlates most strongly with efficiency.
Threads and LinkedIn are each designed for dialogue, and their interfaces truly floor replies in methods most platforms do not. The elevate from replies continues to be significant on Instagram and Fb, simply smaller. And it is weakest on X and Bluesky, the place reply samples are smaller, and distribution is extra unpredictable.
It is also value noting that the causal arrow might level in both path. Robust posts appeal to extra feedback, which creates extra alternatives to answer. And replying to feedback drives engagement up, and that engagement drives replies, or so on.
We have touched on this already, but it surely bears repeating right here: what works on one platform may not on one other.
The platform-by-platform knowledge that follows is the place that will get particular.
LinkedIn has the very best median engagement price of any platform in our dataset at ~6.1% in 2025. It dipped barely from ~6.5% in 2024, but it surely’s nonetheless comfortably on high.
It is also a platform in the midst of an identification shift. LinkedIn has been courting creators, experimenting with a devoted video feed and improved analytics. However it’s carousels (doc/PDF posts) that earn essentially the most engagement on LinkedIn.
- Carousels earned a median engagement price of 21.77%.
- Video got here in at 7.35%.
- Pictures have been shut behind at 6.52%.
- Hyperlink posts at 3.81%.
- Textual content posts at 3.18%.
There’s numerous variation inside carousels, although. Amongst stronger-performing carousel posts, engagement was above 41%. Amongst weaker ones, it was round 5.4% — which is fairly near the median price for video and pictures. So even a below-average carousel is doing about in addition to a typical video or picture put up.
In an episode of Buffer Chat, LinkedIn’s Head of Scaled Packages, Callie Schweitzer, emphasised video as a key precedence for creators in 2025. Our principle is that LinkedIn could be headed down the same habits path as Instagram, the place movies imply attain, however carousels imply engagement. Extra on this under.
Threads
Threads’ median engagement price got here in at ~3.6% in 2025, down from ~4.4% in 2024 — an 18% decline that places it nearer to X (~2.5%) than to the higher-engagement platforms.
Threads is positioned as a conversation-first area (or Instagram’s text-forward sibling). However the codecs want a bit extra nuance than merely rating them in opposition to one another.
- Video led with a median engagement price of 5.55%.
- Pictures weren’t far behind at 4.55%.
- Textual content posts got here in at 2.79%.
- Hyperlink posts sat at 2.34%.
There’s numerous variation inside every format, although. A superb textual content put up can simply outperform a mediocre video. There’s sufficient overlap throughout codecs that any kind of put up can do properly on Threads.
Threads continues to be younger and nonetheless refining its algorithms. We would not be stunned to see shifts that change these numbers. However for now, combine in visuals together with your Threads posts to present your posts a lift.
Instagram’s median engagement price fell from ~7.3% in 2024 (the very best within the dataset that yr) to ~5.4% in 2025 — a 26% decline that moved it from first place to 3rd, behind LinkedIn and Fb.
After we have a look at engagement price as a share of attain, carousels come out on high:
- Carousels led with a median engagement price of 6.90%.
- Single photos got here in at 4.44%.
- Reels adopted at 3.31%.
Carousels earn roughly 109% extra engagement per particular person reached than reels, and single photos earn about 34% greater than reels. Even static photos comfortably outperform video in the case of engagement on Instagram. Nevertheless, as all the time, there’s nuance right here.
Reels, carousels, and single photos serve totally different functions.
And there’s one factor value noting: we’re measuring engagement price right here — likes, feedback, saves, and shares as a share of attain. However reels are sometimes optimized for views relatively than these sorts of interactions, so a decrease engagement price would not essentially imply Reels aren’t working. It might simply imply individuals are consuming them in a different way.
As well as, the format breakdown above would not seize the total image, as a result of attain and engagement level in numerous instructions on Instagram.
A separate evaluation of 4M+ posts revealed by way of Buffer between January 2022 and October 2024 confirmed us that:
Reels are likely to get essentially the most attain
- Reels vs carousels: 1.36× the attain (+36%)
- Reels vs single-image posts: 2.25× the attain (+125%)
Instagram has a devoted reels discovery tab, so reels have a built-in benefit for reaching individuals who do not already comply with you — feed-native codecs do not get that very same enhance.
Carousels are likely to get essentially the most engagement
- Carousels vs reels: 2.09× the engagement price (+109%)
- Carousels vs single-image posts: 1.55× the engagement price (+55%)
- Single photos vs reels: 1.34× the engagement price (+34%)
Carousels hold individuals on the put up longer, that means extra possibilities to avoid wasting, share, and remark, and doubtlessly a number of possibilities to reappear in-feed.
It’s kind of like Instagram is 2 totally different platforms in a single, relying on the place you put up your content material. And which ‘platform’ you select is dependent upon the objective of your content material. This is a useful means to have a look at it:
- Discovery mode (reaching new individuals): Reels usually tend to attain individuals who do not comply with you.
- Relationship mode (partaking your current viewers): Carousels drive deeper interactions from individuals who already do.
The “greatest format on Instagram” has no single reply because it is dependent upon your targets.
Fb
Fb’s median engagement price rose to ~5.6% in 2025 (up from ~5.0% in 2024, a +11% achieve), making it the second-highest engagement platform behind LinkedIn and one in every of solely three the place engagement moved meaningfully upward yr over yr.
However on Fb, the gaps between codecs are small.
- Pictures led with a median engagement price of 5.20%.
- Video at 4.84%.
- Textual content posts at 4.76%.
- Hyperlink posts at 4.43%.
That is lower than one share level separating photos from textual content. On Fb, format alternative issues lower than nearly anyplace else on this dataset. Pictures have a slight edge, and hyperlink posts are barely behind (which is per the broader development of platforms preserving customers on-platform). However the variations are sufficiently small that what you put up about in all probability issues greater than whether or not it is a picture or a video.
X/Twitter
X’s median engagement price jumped from ~2.0% in 2024 to ~2.8% in 2025 — a +44% enhance, the biggest relative achieve within the dataset. However X nonetheless sits on the backside of the engagement-rate platforms, and the larger story is structural.
X launched Premium accounts in March 2023, promising a number of new options for paid customers, with higher content material efficiency amongst them. In our analysis into the impact of X Premium on attain and engagement, we began seeing that occur round January 2025.
Earlier than that, Premium and common accounts moved in comparable instructions on engagement price. After January 2025, they break up — Premium engagement charges rose whereas common account engagement charges fell.
However Premium divide apart, textual content nonetheless wins on X by a large margin:
- Textual content posts led with a median engagement price of 3.56%.
- Pictures at 3.40%.
- Video at 2.96%.
- Hyperlink posts at 2.25%.
Textual content and pictures are shut sufficient that each work properly. Video can work on X, but it surely would not carry the identical default benefit right here as on different platforms.
TikTok
TikTok’s median engagement price got here in at ~4.5% in 2025, roughly flat from ~4.4% in 2024. It sits in the midst of the pack — behind LinkedIn, Fb, and Instagram, however forward of Pinterest, Threads, and X.
The format discovering right here in all probability will not shock anybody: on a video-first platform, video performs greatest.
- Video led with a median engagement price of 3.39%.
- Pictures at 1.92%.
What’s fascinating is how aggressive photos have grow to be. TikTok began as a pure video platform, however with the introduction of carousels and picture posts, photos are proving extra viable than you would possibly count on.
Bluesky
Bluesky makes use of whole interactions (likes + feedback + reposts) relatively than engagement price, so it is not one-to-one with the opposite platforms on this part.
- Video earned a median of 5 interactions per put up.
- Pictures at 4.
- Hyperlinks at 3.
- Textual content at 3.
The median dipped barely yr over yr (from ~5 to ~4) whereas put up quantity almost quadrupled. That is to be anticipated as a platform grows past its early adopters and the consumer base broadens towards smaller and newer accounts.
A quick have a look at another platforms
Not each platform in our dataset acquired its personal deep dive within the internet report.
For these platforms, the information now we have is strong sufficient to share what now we have, however not sufficient for the total therapy we gave these above.
Right here’s the place issues stand on Pinterest, YouTube, and Mastodon.
Pinterest’s median engagement price rose to ~3.9% in 2025, up from ~3.2% in 2024 — a +23% achieve that makes it one in every of solely three platforms the place engagement moved meaningfully upward, alongside X and Fb.
Video is the clear winner on Pinterest.
- Video led with a median engagement price of 5.75%.
- Pictures at 3.15%.
That is almost double the engagement for video — one of many largest format gaps within the dataset. Pinterest has been investing in video options, and the information means that funding is paying off. In case you’re nonetheless treating Pinterest as an image-only platform, contemplate including movies to your technique.
YouTube
For YouTube, we measure median views relatively than engagement price, which makes it troublesome to match straight with rate-based platforms. (See The Baseline part for full context on why.)
The median YouTube video revealed by means of Buffer earned a median of 433 views (52 views on the decrease finish and 1,224 on the upper finish).
Nevertheless, this knowledge extra seemingly displays shifts in who’s publishing by way of Buffer at the very least as a lot as YouTube’s underlying distribution — as the combination of accounts adjustments, typical view counts shift even when the platform itself is secure.
The principle factor to notice right here is: views are the primary gate to move on YouTube. Likes, feedback, subscriptions, and shares are sometimes sparse relative to view quantity. A powerful median view depend can nonetheless include very low interactions.
Mastodon
Mastodon makes use of whole interactions (shares + favorites + feedback) as an alternative of engagement price, and is essentially the most secure platform within the dataset.
- Pictures and video each earned a median of 3 interactions per put up.
- Hyperlinks and textual content each at 2 interactions.
“How usually ought to I put up?” and “When ought to I put up?” are two of the commonest questions creators and groups ask us at Buffer.
The trustworthy reply is there is not a single common quantity for both one. However there are clear patterns within the knowledge.
THere’s how to consider each: timing and frequency are amplifiers. They enhance your probabilities of success and focus it into higher-probability home windows. However they do not create engagement on their very own: they enhance what’s already working.
On platforms the place virality performs a much bigger function in whose posts get seen — TikTok is the perfect instance — there’s one other issue to contemplate: posting extra additionally will increase the percentages of any single put up breaking out. In that context, frequency is not simply an amplifier; it is also a numbers recreation.
One factor value noting up entrance: frequency and efficiency are likely to journey collectively, and there are just a few potential causes:
- Assets. Profitable accounts can afford extra output thanks to larger groups, higher workflows, and extra property.
- Momentum. Increased engagement motivates extra posting. The causal arrow runs in each instructions.
- Platform match. Some platforms might reward frequent publishing greater than others, however the power of that impact varies by viewers and format.
We will not totally separate these in observational knowledge. However what we can do is present you what the patterns seem like.
Frequency: high performers put up extra, extra constantly
We in contrast weekly posting frequency between two teams on every platform: the median account and the highest 10% by whole weekly engagement. To qualify, accounts wanted at the very least 10 posts previously yr, in at the very least 4 totally different weeks.
Throughout platforms, top-performing accounts put up extra continuously than the median consumer — and so they do it constantly throughout the yr, not simply throughout spikes.
The hole is widest on text-forward platforms: X, LinkedIn, and Threads. These are feed-dense environments the place it takes much less manufacturing effort to put up, so high performers pull forward extra clearly by posting extra usually.
The hole is nearer on visual-heavy platforms, particularly Instagram and TikTok. High performers nonetheless are likely to put up extra, however the distinction is much less constant — in all probability as a result of these codecs take extra effort to create, so it is more durable to take care of a excessive quantity.
The no-post penalty
That is the discovering that stunned us most within the frequency knowledge.
In a separate evaluation of 4.8 million channel-week observations from ~161,000 profiles on Fb, Instagram, and X, we measured how follower development adjustments when the identical account posts at totally different frequencies throughout weeks (see Methodology part for particulars).
The sample was clear: accounts that did not put up in a given week constantly underperformed their very own baseline development charges. We name this the “no-post penalty.” Even posting simply 1–2 instances per week produced a significant enchancment over weeks with no posts in any respect.
And the advantages continued to scale. Accounts posting 10+ instances per week noticed the biggest beneficial properties, averaging 32 extra followers per week in comparison with silent weeks. However crucial threshold is the primary one: any posting is considerably higher than no posting. Consistency issues greater than quantity.
There is a stress right here, although: whereas posting extra is related to greater whole engagement and follower development, our engagement price evaluation of 15.7M posts means that attain per put up tends to say no at greater frequencies.
Posting extra helps you develop in combination, however every particular person put up might attain a smaller share of your viewers. One of the best method is a cadence you may maintain whereas defending high quality — not most quantity on the expense of every little thing else.
What we are able to and may’t declare
One factor we are able to say clearly from this knowledge: high performers publish extra usually than the median account, throughout platforms.
What we won’t say is {that a} single “optimum” frequency exists throughout niches, account sizes, or groups — or that posting extra causes greater engagement.
How timing suits (and why it’s not the ‘secret sauce’)
From our timing evaluation, two issues are constantly true:
- There’s no common “greatest time to put up” throughout platforms. Every community has its personal utilization rhythms.
- The “greatest time” is often a window, not a single slot. Excessive-performing posts are likely to cluster in sure elements of the day and week, however the distinction between high time blocks is usually smaller than individuals count on.
Timing is a distribution benefit or an amplifier. It may possibly assist put up get its first push however it could possibly’t flip a median put up right into a excessive performer.
The home windows under are the place higher-performing posts clustered in our knowledge. Use them as beginning factors for testing, not guidelines:
- Fb: 8–11 a.m. weekdays, peaking Thursday at 9 a.m.
- Instagram: 6–9 p.m. weekdays, peaking Thursday at 9 a.m.
- LinkedIn: 3 p.m.–8 p.m. weekdays, peaking on Wednesday at 4 p.m.
- TikTok: 8 a.m.–11 a.m. weekends, peaking Sunday at 9 a.m.
- X: 6–11 a.m. weekdays, peaking Tuesday at 9 a.m.
- Threads: 6–11 a.m. weekdays, peaking Thursday at 9 a.m.
- Bluesky: 6-9 p.m. weekends, peaking Sunday at 5 p.m.
The information suggests a fairly clear pecking order: what you put up issues most, how usually you put up issues quite a bit, and whenever you put up issues least.
That is to not say timing is irrelevant — however the largest hole on this knowledge is not between “good timing” and “unhealthy timing.” It is between posting and never posting. So experiment with timing to search out what works to your viewers, however do not let the seek for an ideal schedule hold you from hitting publish.
We got down to doc how engagement is definitely functioning throughout platforms — to not inform readers what to do. However after analyzing tens of thousands and thousands of posts, just a few issues stand out.
We stored searching for a complicated reply to engagement in 2026, however the knowledge stored giving us the straightforward one.
The strongest sign on this complete dataset wasn’t a format trick, a timing hack, or an algorithm exploit. It was replies.
On each platform we studied, creators who reply to feedback do higher than creators who do not. It is perhaps the best potential model of what social media was purported to be: individuals speaking to the individuals who speak to them.
The following factor the information stored saying: present up. The largest hole within the frequency knowledge is not between good timing and unhealthy timing. It is between posting and never posting. The no-post penalty was actual and constant throughout all platforms. So present up first, optimize second.
And the third takeaway: fragmentation is actual, but it surely’s not unhealthy information. Each platform defines engagement in a different way, measures it in a different way, and rewards totally different behaviors. There’s no single playbook to repeat — which implies there is not any single algorithm to lose to, both. Development can occur anyplace, on any platform, so long as the work is nice and also you’re exhibiting up.
It is also value noting that the platforms the place reply results have been strongest — Threads and Bluesky — are additionally the most recent. They have been inbuilt an period the place the worth of dialog is known in a different way than when Fb and X first launched. We will not show social media is shifting towards dialog over attain. However the platforms being constructed proper now are designed as whether it is — and the engagement knowledge from these platforms appears to be like like that wager is paying off.
Whether or not or not that is a development, the sensible takeaway is similar: reply to the individuals who interact with you, put up constantly and make good content material.
