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Uber engagement report

@Uber - 1.2M followers on X

Measured over 8 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 1.2M followers
Per impression
0.396%
50K views on a typical post
Reach
4.32%
of its followers see a post
Typical post
198
interactions (median)
Saved
0.006%
3 bookmarks on a typical post
Posting rate
0.3/day
active 30% of days
Peak time
09:00 UTC
Wednesday

A typical post picks up 198 interactions against 1.2M followers, an engagement rate of 0.017%. Measured over 8 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 50K times each, and 0.396% of those impressions turn into an interaction. That is about 4.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 7.3K interactions, about 52x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 28, 2026.

Compared with accounts its own size

Uber'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 26% 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 0.017%, Uber sits above the 10th percentile of the 212,482 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%
p9982.9%
Engagement rate as a share of followers, across the 212,482 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile82.9%

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 09:00 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% 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.
  • 0% 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 138 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

  • Jun 13, 202652x their median

    Charles Oakley is on his way to San Antonio to attend Game 5 Oak has attended Knicks playoff games in Atlanta and Cleveland this year https://t.co/57aqoiYcPt

    6.7K40211597242K viewsView on X
  • Jun 10, 202633x their median

    This is fire @uber https://t.co/2PVCNp71mB

    4.9K1621417453K viewsView on X
  • Sep 15, 202628x their median

    In this Uber every second counts... https://t.co/jKZsMreshf

    3.4K489125152183K viewsView on X
  • Sep 3, 202616x their median

    London, meet your newest way to ride. 🇬🇧 Autonomous rides powered by @wayve_ai are now on Uber. British-built AI. London roads. Same Uber app. Off we go. https://t.co/xGWTNM7xsm

    1.7K2212231701.5M viewsView on X
  • Jul 14, 20265.3x their median

    The ultimate sync 🤝 https://t.co/WPArYROg6a

    66611986490K viewsView on X
  • Jun 2, 20266.6x their median

    Today, we announced plans to launch Spain’s first commercial robotaxi pilot in Madrid in partnership with @WeRide_ai. The service is expected to become available later this year through the Uber app, in partnership with the Madrid Regional Government. 🇪🇸 https://t.co/uP8nYZeEre

    525948142558K viewsView on X
  • Sep 10, 20264.9x their median

    Autonomous mobility is one step closer in Spain. 🇪🇸 Together with @WeRide_ai and AVOMO, we’ve received Spain’s first national permit for Level 4 autonomous passenger vehicles, allowing us to begin mapping, route validation and operational readiness testing in the region of Madrid. This is an exciting and important step as we get ready to bring autonomous rides to Spain 🚀

    523787935120K viewsView on X
  • May 13, 20264.2x their median

    We’re expanding in Miami, with Austin, Atlanta, Houston and the SF Bay Area up next. Soon we'll cover 1,400+ square miles across 11 cities. We’re helping more people get around safely and seamlessly. https://t.co/HEDjgOH9ho

    488535626285K viewsView on X
  • Jul 24, 20263.6x their median

    Her grandmother planted seeds. Now A’ja Wilson is doing the same 🌱 - Uber’s Women Change The Game Event, Chicago https://t.co/g3tejaBCip

    37880643172K viewsView on X
  • Jun 6, 20263.6x their median

    What song should he play next? 🎶 https://t.co/SYZbR5TfwM

    45018420279K 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 198 interactions against 1.2M followers, an engagement rate of 0.017%. Measured over 8 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 50K times each, and 0.396% of those impressions turn into an interaction. That is about 4.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 7.3K interactions, about 52x its own typical post.

What is Uber's engagement rate on X?
Uber (@Uber) has an engagement rate of 0.017%, based on the median interactions across 8 original posts from the last 30 days against 1,156,367 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Uber sits above the 10th percentile of the 212,482 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 @Uber 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 @Uber post?
Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 0.3 posts per day across the measured window.

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