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FutureShift engagement report

@futureshift - 573K followers on X

Measured over 73 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 573K followers
Per impression
0.058%
1.7K views on a typical post
Reach
0.3%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.43/day
active 37% of days
Peak time
07:00 UTC
Saturday

A typical post picks up 1 interaction against 573K followers, an engagement rate of 0%. Measured over 73 original posts, its engagement rate beats 3% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.058% of those impressions turn into an interaction. That is about 0.299% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 73 posts sampled, 100% link out. The account's strongest tracked post pulled 15 interactions, about 15x its own typical post.

Measured over 73 original posts from a 30-day window, last computed on October 11, 2026.

Compared with accounts its own size

FutureShift's engagement rate beats 3% 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 3% 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 under 0.001%, FutureShift sits below the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 07:00 UTC, and Saturday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 96 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 7, 202615x their median

    The publication doesn't have a deal to train the model on its cartoonists' work. https://t.co/khNUa8iU9W

    64501.2K viewsView on X
  • Sep 3, 202615x their median

    How accurate will these turn out to be? What we know so far. https://t.co/MMNlDZ7Mab

    87002.6K viewsView on X
  • Sep 12, 202613x their median

    We've been testing the iOS 27 and Siri AI beta for months, but the public release is fast approaching. https://t.co/pTPCXN8ocS

    84103.4K viewsView on X
  • Sep 15, 202610x their median

    Update your iPhone and dive right into the new iOS 27. https://t.co/toqlEQqHjw

    73003.0K viewsView on X
  • Sep 12, 20268.0x their median

    Mashable is reporting live from Apple Park for the "Surprise and Shine" keynote, where the folding iPhone Duo was revealed. https://t.co/5SfV4jWUuJ

    44003.0K viewsView on X
  • Aug 23, 20268.0x their median

    Don't sleep on the Apple Store's refurbished deals. https://t.co/hR5iUlXOHp

    53003.0K viewsView on X
  • Sep 14, 20266.0x their median

    Knock 20% off the TikTok fave before the Lightning Deal expires. https://t.co/OUoXrT7wY3

    51001.8K viewsView on X
  • Sep 12, 20265.0x their median

    Find a cute new case and grip to go with your new burgundy iPhone 18 Pro Max. https://t.co/WpGCi661Wp

    32001.9K viewsView on X
  • Sep 1, 20265.0x their median

    Goodbye, Tim Cook. https://t.co/PXu465zSSd

    41004.9K viewsView on X
  • Sep 14, 20264.0x their median

    What does it mean?! https://t.co/EfnoYDMkU1

    31008.0K viewsView on X

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 1 interaction against 573K followers, an engagement rate of 0%. Measured over 73 original posts, its engagement rate beats 3% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.058% of those impressions turn into an interaction. That is about 0.299% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 73 posts sampled, 100% link out. The account's strongest tracked post pulled 15 interactions, about 15x its own typical post.

What is FutureShift's engagement rate on X?
FutureShift (@futureshift) has an engagement rate of 0%, based on the median interactions across 73 original posts from the last 30 days against 572,675 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At under 0.001%, FutureShift sits below 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 @futureshift have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size 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 @futureshift post?
Most posts go out around 07:00 UTC, and Saturday is its busiest day, at roughly 2.43 posts per day across the measured window.

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