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Workday engagement report

@Workday - 52K followers on X

Measured over 11 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Middle of its size range
Per follower
0.031%
of 52K followers
Per impression
1.36%
1.2K views on a typical post
Reach
2.25%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.255%
3 bookmarks on a typical post
Posting rate
0.37/day
active 10% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 16 interactions against 52K followers, an engagement rate of 0.031%. Measured over 11 original posts, its engagement rate beats 27% of 20,445 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 1.2K times each, and 1.36% of those impressions turn into an interaction. That is about 2.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 11 posts sampled, 100% carry an image or video and 91% link out. The account's strongest tracked post pulled 46 interactions, about 2.9x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on October 17, 2026. Recurring tag: #wdayrising.

Compared with accounts its own size

Workday's engagement rate beats 27% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 46% 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 0.031%, Workday sits above the 25th percentile of the 205,152 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

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 16:00 UTC, and Tuesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video100% of posts+111%+108% to +115%34K
Outbound link91% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 91% 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 227 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 13, 20262.9x their median

    We’ve signed an agreement to acquire https://t.co/O0Y3TNPWa4, an agentic identity platform for people and AI agents. With https://t.co/O0Y3TNPWa4, Workday will become the identity governance layer for people, money, and agents. https://t.co/CEfMWC1tHO https://t.co/0v3GeKvIn3

    3063711K viewsView on X
  • Oct 13, 20262.0x their median

    Workday is officially headless! With the Trusted Agent Platform, teams can build custom agents using tools like Cursor or Claude Code and models like Gemini, Llama 4, and Claude. https://t.co/imeF5a3UPq #WDAYRising https://t.co/x9PtkO6mgj

    187342.1K viewsView on X
  • Oct 13, 20261.8x their median

    Announcing our new partnership with Anthropic! Together, we're connecting Claude's frontier reasoning to the rules that run the business, wherever people choose to work. https://t.co/rL6jQSEsCR #WDAYRising https://t.co/cjBymYxVGc

    183352.3K viewsView on X
  • Jun 24, 20261.5x their median

    One thing was clear at #WDAYDevCon, we truly have the most incredible Developer community! We're still feeling all the goodness from Vegas. Catch up on all things #WDAYDevCon ➡️ https://t.co/FS5esUO8b1 https://t.co/t3pl9OIhjh

    162601.2K viewsView on X
  • Oct 13, 2026

    Sana is officially the new Workday Home! It’s a unified conversational interface and orchestration engine that translates natural language prompts into multi-step agentic workflows. https://t.co/RXfQo5Vexs #WDAYRising https://t.co/7hm3v2IvBW

    161101.1K viewsView on X
  • Jun 16, 2026

    What's the most important thing when it comes to AI and finance?! We asked Matt Didonato, Senior Manager, Corporate FP&A, The New York Times during #GartnerFinance! https://t.co/rdm5ijF71I

    15120797 viewsView on X
  • Oct 13, 2026

    Workday Candidate Profile is here! Candidates save their profile once and prefill applications in seconds across Workday career sites. https://t.co/Va65IqMtwq #WDAYRising https://t.co/CwXmIlFGpV

    132021.2K viewsView on X
  • Oct 13, 2026

    Workday Decision Intelligence is now available across our portfolio—one governed AI experience for HR and finance to weigh workforce and financial decisions together. https://t.co/cPowQfZ2JC #WDAYRising https://t.co/2bDeH0ZMMq

    12400950 viewsView on X
  • Oct 13, 2026

    We just launched Autopilot Agents—background autopilots designed to execute routine HR, finance, and IT processes continuously. https://t.co/h3VPptkRP3 #WDAYRising https://t.co/zwounzKjCn

    142001.1K viewsView on X
  • Sep 24, 2026

    For years, employers had to choose between a great benefits experience for employees, or manageable costs and admin. Today, Workday Total Benefits ends that tradeoff—AI agents handle the busywork while employees get more choice and easier access. https://t.co/64KafWJ5gf

    121201.5K 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

#wdayrising

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 16 interactions against 52K followers, an engagement rate of 0.031%. Measured over 11 original posts, its engagement rate beats 27% of 20,445 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 1.2K times each, and 1.36% of those impressions turn into an interaction. That is about 2.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 11 posts sampled, 100% carry an image or video and 91% link out. The account's strongest tracked post pulled 46 interactions, about 2.9x its own typical post.

What is Workday's engagement rate on X?
Workday (@Workday) has an engagement rate of 0.031%, based on the median interactions across 11 original posts from the last 30 days against 52,424 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.031%, Workday sits above the 25th 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 @Workday have real engagement?
Its engagement rate beats 27% of the tracked X accounts closest to it in follower count (20,445 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 @Workday post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 0.37 posts per day across the measured window.

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