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Microsoft Teams engagement report

@MicrosoftTeams - 452K followers on X

Measured over 1 original post from a 30-day window, last computed on August 29, 2026.

Engagement

Per follower
0.016%
of 452K followers
Per impression
0.418%
17K views on a typical post
Reach
3.86%
of its followers see a post
Typical post
73
interactions (median)
Saved
0.126%
22 bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
22:00 UTC
Monday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 73 interactions against 452K followers, an engagement rate of 0.016%. Posts are seen about 17K times each, and 0.418% of those impressions turn into an interaction. That is about 3.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 3.7K interactions, about 51x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on August 29, 2026.

Where this sits in the catalog

At 0.016%, Microsoft Teams sits above the 10th percentile of the 205,152 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 22:00 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.

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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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-no effect-2% to -1%42K
  • 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 220 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 1, 202551x their median

    Coming to a meeting near you https://t.co/WIpxu43OlO

    3.4K15912354193K viewsView on X
  • May 11, 202621x their median

    Cursor is now available in Microsoft Teams. Mention @​Cursor in any channel to delegate tasks to an agent or pull information from Cursor into Teams. https://t.co/dasXpc8rgC

    1.3K1047148188K viewsView on X
  • Oct 16, 202513x their median

    We don’t know who needs to hear this, but double check your browser tabs before sharing your screen.

    746100622160K viewsView on X
  • Oct 1, 20253.9x their median

    🐾 When your teammates ask you to turn your woofers down. Set it up here: https://t.co/69dHDqXGU1 https://t.co/qN6KY6kkZB

    2492213117K viewsView on X
  • Oct 2, 20252.9x their median

    From Threads in channels to an updated Teams AI library, September was packed with exciting updates. See the full list: https://t.co/VahZmHs9oP https://t.co/zkFQjV2LfO

    1841811017K viewsView on X
  • Oct 7, 20252.6x their median

    “Ugh, sorry, forced computer update“ - us when we get a “are you free for a quick call?” ping

    1521621438K viewsView on X
  • Aug 13, 20252.5x their median

    Hey, you! Yes, you. Don't forget to include a meeting agenda.

    1411427118K viewsView on X
  • Aug 11, 20252.5x their median

    ✨💫 manifesting time back at the end of the meeting ✨💫

    155156319K viewsView on X
  • Sep 3, 20252.2x their median

    From multiple emoji reactions to uploading custom dictionaries for Copilot in Teams, we're helping your team work smarter, collaborate more effectively, and stay connected. Learn more: https://t.co/M8A9uKzb58 https://t.co/gEHHddd8oj

    1192812118K viewsView on X
  • Aug 28, 20252.0x their median

    Friendly reminder: you can set your working hours in calendar settings, so your colleagues know when it's appropriate to contact you.

    1101716417K 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 73 interactions against 452K followers, an engagement rate of 0.016%. Posts are seen about 17K times each, and 0.418% of those impressions turn into an interaction. That is about 3.87% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 3.7K interactions, about 51x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Microsoft Teams's engagement rate on X?
Microsoft Teams (@MicrosoftTeams) has an engagement rate of 0.016%, based on the median interactions across 1 original posts from the last 30 days against 451,735 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, Microsoft Teams sits above the 10th percentile of the 205,152 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 @MicrosoftTeams have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @MicrosoftTeams post?
Most posts go out around 22:00 UTC, and Monday is its busiest day, at roughly 0.03 posts per day across the measured window.

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