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wta engagement report

@WTA - 1.0M followers on X

Measured over 713 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 1.0M followers
Per impression
1.14%
16K views on a typical post
Reach
1.54%
of its followers see a post
Typical post
182
interactions (median)
Saved
0.025%
4 bookmarks on a typical post
Posting rate
29.6/day
active 100% of days
Peak time
08:00 UTC
Monday

A typical post picks up 182 interactions against 1.0M followers, an engagement rate of 0.018%. Measured over 713 original posts, its engagement rate beats 42% of 21,185 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 16K times each, and 1.14% of those impressions turn into an interaction. That is about 1.54% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 29.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 713 posts sampled, 100% carry an image or video, 5% are part of a thread and 5% link out. The account's strongest tracked post pulled 13K interactions, about 74x its own typical post. Recurring topics include #chinaopen, #dongfengvoyahwuhanopen, #ningboopen.

Measured over 713 original posts from a 30-day window, last computed on October 28, 2026. Recurring tags: #chinaopen, #dongfengvoyahwuhanopen, #ningboopen.

Compared with accounts its own size

wta's engagement rate beats 42% of the tracked X accounts closest to it in follower count (21,185 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 51% 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 0.018%, wta sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 video100% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 5% 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 137 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

  • Aug 24, 202674x their median

    Coco. Conquers. Cincy! 🏆 @CocoGauff defeats Pegula 6-2, 6-4 and is the champion of the 2026 @CincyTennis! #CincyTennis https://t.co/MkOHqagfem

    10K2.7K134282150K viewsView on X
  • Sep 14, 202669x their median

    The view from the top 🏆 Elena Rybakina is officially your new WTA No.1 Presented by PIF! @PIF_en | #PIFWTARankings https://t.co/SdgQbAgEg3

    11K1.4K133372487K viewsView on X
  • Aug 26, 202668x their median

    A night full of legendary tennis! ✨ #USOpen https://t.co/eeeemLgDrY

    11K1.2K121177395K viewsView on X
  • Oct 11, 202648x their median

    ULTIMATE GLORY 🏆 Zheng Qinwen makes history, becoming the first Chinese player to win the China Open trophy! #ChinaOpen https://t.co/NTidOJoWFk

    7.1K1.1K250348259K viewsView on X
  • Sep 5, 202647x their median

    The future is here 🌟 #USOpen https://t.co/r22p6evKZr

    7.9K5845244101K viewsView on X
  • Sep 27, 202643x their median

    Leylah on top of the world! 🌏 It's a 6th career WTA title for Leylah Fernandez. She defeats Gibson 7-5, 6-0 to take home the trophy 🏆 #SgTennisOpen https://t.co/UU74Dv2nA2

    6.8K785133149151K viewsView on X
  • Sep 9, 202636x their median

    Introducing your NEW WTA No.1 Presented by PIF, Elena Rybakina! 👑 @PIF_en | #PIFWTARankings https://t.co/aaX304amoe

    5.2K1.1K64182175K viewsView on X
  • Sep 12, 202635x their median

    UNSTOPPABLE 🏆 Elena Rybakina defeats Sabalenka 6-4, 5-7, 6-2 to become the 2026 US Open Champion 🤩 #USOpen https://t.co/c3Ssx4hj1X

    5.2K88913012362K viewsView on X
  • Oct 19, 202632x their median

    SUPER EALA ⭐️ Alexandra Eala puts on a show in Ningbo, defeating Diane Parry in straight sets. #NingboOpen https://t.co/7NGcdqIkqK

    4.6K91170178123K viewsView on X
  • Sep 6, 202628x their median

    A match to remember 🫶 #USOpen https://t.co/65TiNr1tUP

    4.6K4551644123K 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

#chinaopen#dongfengvoyahwuhanopen#ningboopen#torayppo#theultimatestage

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 182 interactions against 1.0M followers, an engagement rate of 0.018%. Measured over 713 original posts, its engagement rate beats 42% of 21,185 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 16K times each, and 1.14% of those impressions turn into an interaction. That is about 1.54% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 29.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 713 posts sampled, 100% carry an image or video, 5% are part of a thread and 5% link out. The account's strongest tracked post pulled 13K interactions, about 74x its own typical post. Recurring topics include #chinaopen, #dongfengvoyahwuhanopen, #ningboopen.

What is wta's engagement rate on X?
wta (@WTA) has an engagement rate of 0.018%, based on the median interactions across 713 original posts from the last 30 days against 1,032,186 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, wta sits above the 10th percentile of the 212,567 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 @WTA have real engagement?
Its engagement rate beats 42% of the tracked X accounts closest to it in follower count (21,185 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 @WTA post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 29.6 posts per day across the measured window.

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