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Women in Technology engagement report

@womenintech - 190K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 190K followers
Per impression
0.432%
463 views on a typical post
Reach
0.24%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.9/day
active 53% of days
Peak time
11:00 UTC
Wednesday

A typical post picks up 2 interactions against 190K followers, an engagement rate of 0.001%. Measured over 15 original posts, its engagement rate beats 6% of 21,185 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 463 times each, and 0.432% of those impressions turn into an interaction. That is about 0.243% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 93% carry an image or video and 100% link out. The account's strongest tracked post pulled 19 interactions, about 9.5x its own typical post. Recurring topics include #womenintech, #fintechasaforceforgood, #fintech.

Measured over 15 original posts from a 30-day window, last computed on October 12, 2026. Recurring tags: #womenintech, #fintechasaforceforgood, #fintech.

Compared with accounts its own size

Women in Technology's engagement rate beats 6% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 23% 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 0.001%, Women in Technology sits below the 10th percentile of the 213,004 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 11:00 UTC, and Wednesday 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video93% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 93% 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 282 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 2, 20269.5x their median

    ๐ŸŽ™๏ธ In a new episode of the Accelerating AI Ethics podcast, 'Data-centred technology and building AI for humanity: a conversation with Angela Oduor Lungati', Dr Caroline Emmer De Albuquerque Green speaks with Angela Oduor Lungati (@AngieNicoleOD), Executive Director of @ushahidi, about her journey as a woman in tech, why data is destiny and the fight for fairer, more representative AI training data. ๐ŸŽง Listen to the podcast: https://t.co/6pgglRdwBN

    135011.4K viewsView on X
  • Sep 30, 20263.5x their median

    Women in Tech Week 2026 is nearly here. Five days of free virtual and in-person events, with sessions covering careers, AI, leadership, cyber security, confidence, returning to work and more. Register now https://t.co/MCWt7a892e #WomenInTechWeek #WomenInTech #TechCareers

    50111.8K viewsView on X
  • Oct 5, 20263.0x their median

    Considering a tech career but have no tech experience? Here, @shecancodehq explore the value of transferable skills, the importance of confidence and curiosity, and why women should focus on solving problems rather than following a traditional route ๐Ÿ‘‰ https://t.co/IWVe3MNT7p https://t.co/CFj68faCAq

    4110635 viewsView on X
  • Sep 23, 20263.0x their median

    Open Finance can unlock ca. ยฃ5bn per annum in SME finance by cutting loan declines by 50%* Our #FinTech as a Force for Good report sets out how Gov, regulators & industry can unlock growth in the UK ๐Ÿ”— https://t.co/D86Ratz3VK *@CFIT_UK, https://t.co/qHVaoG1TWP #FinTechForGood https://t.co/ftWdP4uwy4

    4011836 viewsView on X
  • Sep 9, 20262.5x their median

    Women hold 17% of UK cyber security roles. At senior level, that falls to 12%. We look at the assignments, promotion decisions and retention practices employers need to examine. https://t.co/cFwjj02rcw #WomenInCyber #CyberSecurity #WomenInTech #TechCareers

    31012.3K viewsView on X
  • Aug 26, 20262.5x their median

    Looking to land a DevOps role? Kate Hawthorn, Director of Consultant Talent at @FDMGroup, shares the key skills employers want to see on your CV - from AWS & Azure to CI/CD, Docker, Kubernetes & automated testing. ๐Ÿ“– https://t.co/mFtDAWwZ8V #DevOps #WomenInTech #TechCareers https://t.co/w8nPJM1cNm

    3101726 viewsView on X
  • Sep 2, 20262.0x their median

    ๐ŸŒˆ So so excited to launch our new #PrideInFinTech Mentorship Programme for 2026! Meet our brilliant mentors, explore their expertise and choose who youโ€™d most like to work with. ๐Ÿ”— https://t.co/wotrxPpNH8 #FinTech #LGBTQIA https://t.co/WsGyERkIos

    20111.1K viewsView on X
  • Sep 15, 20261.5x their median

    ๐Ÿ’ป Jade Denby shares how taking on a remote role transformed her career and allowed her to stay in the tech industry without compromising her ambitions or family life. Read here from @shecancodehq ๐Ÿ‘‰ https://t.co/5ZhRDryb6b https://t.co/tn4J18p2e5

    2100479 viewsView on X
  • Sep 2, 20261.5x their median

    Starting out in tech, switching careers, or climbing the ladder?ย A strong community is your biggest career asset. - Advice from those who've been there - Jobs & mentoring - Support & visibility Join 11,500+ women & allies ๐Ÿ‘‰ https://t.co/qo7GSnCgxa #WomenInTech #CareerGrowth https://t.co/BxO58CAZRL

    1011610 viewsView on X
  • Sep 2, 20261.5x their median

    We are proud to announce the winners of the 2026 TechWomen100 Awards! Celebrating 100 talented women making their mark across UK tech, alongside the champions, companies & networks supporting womenโ€™s careers. Meet the winners https://t.co/jYMrFBNtal #TechWomen100 #WomenInTech

    20011.8K 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.

Recurring topics

#womenintech#fintechasaforceforgood#fintech#spillingthet#techcareers

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 2 interactions against 190K followers, an engagement rate of 0.001%. Measured over 15 original posts, its engagement rate beats 6% of 21,185 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 463 times each, and 0.432% of those impressions turn into an interaction. That is about 0.243% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 93% carry an image or video and 100% link out. The account's strongest tracked post pulled 19 interactions, about 9.5x its own typical post. Recurring topics include #womenintech, #fintechasaforceforgood, #fintech.

What is Women in Technology's engagement rate on X?
Women in Technology (@womenintech) has an engagement rate of 0.001%, based on the median interactions across 15 original posts from the last 30 days against 190,383 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Women in Technology sits below the 10th percentile of the 213,004 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 @womenintech have real engagement?
Its engagement rate beats 6% of the tracked X accounts closest to it in follower count (21,185 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 @womenintech post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 1.9 posts per day across the measured window.

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