THE CHAINSMOKERS engagement report
@TheChainsmokers - 3.1M followers on X
Measured over 53 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 331 interactions against 3.1M followers, an engagement rate of 0.011%. Measured over 53 original posts, its engagement rate beats 34% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 40K times each, and 0.835% of those impressions turn into an interaction. That is about 1.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 53 posts sampled, 43% carry an image or video, 8% are part of a thread and 9% link out. The account's strongest tracked post pulled 7.7K interactions, about 23x its own typical post.
Measured over 53 original posts from a 30-day window, last computed on October 25, 2026.
Compared with accounts its own size
THE CHAINSMOKERS's engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 43% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.011%, THE CHAINSMOKERS sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 00:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 43% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 9% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 43% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 9% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 121 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Oct 13, 202623x their median
After 11 amazing years, we are now independent artists. We are eternally grateful to our incredible team at Columbia/Distruptor for a decade plus of hard work that has resulted in unimaginable success. We have no idea what to expect for our next chapter but we are extremely excited to have fun and experiment with all our new music releases. Thank you for sticking with us fam we know we owe you some records!
- Nov 12, 202528x their median
Starting a new company: You pay us $10k/mo and we send your competitors an endless stream of invites to be interviewed on 3 hour-long tech podcasts, speaking engagements, founder dinners, and all-day tech events so they can never get real work done and they fail.
- Dec 2, 202520x their median
Kalshi raised $1B at an $11B valuation. A decade ago, only a few thousand people knew what a prediction market was. Eighteen months ago, most prediction markets were banned - until we overcame the government to set them free. Over the past seven years, our community has opened up an entirely new category. Today, Kalshi is trusted, used, and loved by millions of people. It’s a part of everyday culture, and it’s driving one of the most important shifts in consumer behavior in recent history. The time has finally come for prediction markets to achieve their full potential and we are intent on making that happen. To all the believers and the early adopters: thank you.
- Oct 10, 202520x their median
Kalshi recently raised $300M+ at $5B from Sequoia, a16z, Paradigm and others. Since then, we've grown over 3x, hit $50B of annualized volume, and became the largest prediction market in the world. And today…Kalshi goes global. 140+ countries. 1 liquidity pool. https://t.co/Z2myzRw9bA
- Jul 10, 20252.9x their median
History was made by the underdogs. https://t.co/wRISfNXtB5
- Apr 5, 202613x their median
Could really go for a chainsmokers concert at church today
- Jan 23, 202613x their median
Loving this new Harry styles tune. Heavy lcd sound system influences also 30 nights at MSG 🤯🤯🤯🤯
- Jan 20, 202611x their median
Ok so this 2016 trend got us thinking… we haven’t done a proper tour in a minute and maybe it’s time to change that in 2026. But what kind of tour do we start with? Do we do a college tour like the old days? We haven’t been back to India in AGES. Also we keep talking about going back to South America… anyway we are kind of down for wherever… let us know where to start???
- Jun 14, 2025
Getting in the mood to drop this remix next week @charli_xcx https://t.co/zOwPcuwNxF
- Oct 14, 20266.1x their median
hot take. Headlining dance festivals is a trap. Not that it’s not a huge honor because it is. But by the end everyone is cooked and seen 95% of production tricks + thinking about how to exit festival parking lot. 2nd to close is where it’s at. & you can hit the bars earlier
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 331 interactions against 3.1M followers, an engagement rate of 0.011%. Measured over 53 original posts, its engagement rate beats 34% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 40K times each, and 0.835% of those impressions turn into an interaction. That is about 1.26% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 53 posts sampled, 43% carry an image or video, 8% are part of a thread and 9% link out. The account's strongest tracked post pulled 7.7K interactions, about 23x its own typical post.
- What is THE CHAINSMOKERS's engagement rate on X?
- THE CHAINSMOKERS (@TheChainsmokers) has an engagement rate of 0.011%, based on the median interactions across 53 original posts from the last 30 days against 3,141,046 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.011%, THE CHAINSMOKERS sits above the 10th percentile of the 204,583 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @TheChainsmokers have real engagement?
- Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @TheChainsmokers post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 2.23 posts per day across the measured window.