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OCEARCH engagement report

@OCEARCH - 142K followers on X

Measured over 30 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.052%
of 142K followers
Per impression
1.67%
4.5K views on a typical post
Reach
3.13%
of its followers see a post
Typical post
74
interactions (median)
Saved
0.045%
2 bookmarks on a typical post
Posting rate
1.8/day
active 87% of days
Peak time
15:00 UTC
Friday

A typical post picks up 74 interactions against 142K followers, an engagement rate of 0.052%. Measured over 30 original posts, its engagement rate beats 41% of 15,519 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 4.5K times each, and 1.67% of those impressions turn into an interaction. That is about 3.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 30 posts sampled, 100% carry an image or video, 77% are part of a thread and 47% link out. The account's strongest tracked post pulled 660 interactions, about 8.9x its own typical post. Recurring topics include #factsoverfear, #ocearch, #sharkscience.

Measured over 30 original posts from a 30-day window, last computed on September 27, 2026. Recurring tags: #factsoverfear, #ocearch, #sharkscience.

Compared with accounts its own size

OCEARCH's engagement rate beats 41% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 7 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 55% 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 0.052%, OCEARCH sits above the 25th percentile of the 157,515 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 157,515 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,033 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.3%

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 15:00 UTC, and Friday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 link47% 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.
  • 47% 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 273 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

  • Sep 15, 20268.9x their median

    🦈 14 YEARS OF WHITE SHARK MARY LEE Tagged in 2012, Mary Lee became one of the most iconic sharks ever tracked. Her journey inspired millions and gave scientists a rare look into white shark movements. Her legacy lives on. 🦈 ➡️ https://t.co/Z9KwdRRtIm https://t.co/J0UZCPUtA1

    5796912060K viewsView on X
  • Aug 20, 20264.5x their median

    🦈 WHAT IS A 1,600-POUND WHITE SHARK DOING THIS FAR NORTH? Contender, the largest male white shark tagged by OCEARCH, is back in Atlantic Canada. His movements are helping scientists better understand how white sharks use these northern habitats. https://t.co/BbS6nRXgK0

    299275017K viewsView on X
  • Aug 29, 20263.5x their median

    🦈 HOW MUCH DOES A WHITE SHARK ACTUALLY EAT? White sharks are highly efficient hunters, able to go long periods between meals. Their feeding habits are just one reason they’re so well adapted to life in the ocean. https://t.co/AEYVCtqdTg

    224275012K viewsView on X
  • Aug 15, 20262.7x their median

    🦈 JAWS VS. THE REALITY OF SHARKS Jaws shaped the way generations of people see sharks, but the reality of these animals is very different from what we see on the big screen. 🌊 https://t.co/PPrJ7P5ETK

    174223112K viewsView on X
  • Sep 18, 20262.4x their median

    🦈 “THAT IS A GIANT MALE!” Go behind the scenes and relive the moment in the full SHARKIVES Chapter 68, available exclusively with Shark Tracker+ on the OCEARCH Global Shark Tracker app. Support the science. Protect the ocean. Unlock the story. ➡️ https://t.co/Q6IR59AraK https://t.co/FwCEOHtb6a

    160152215K viewsView on X
  • Sep 19, 20262.4x their median

    🦈 THERE’S MORE TO WHITE SHARKS THAN THEIR SIZE These incredible animals have a fascinating life history that scientists are still working to understand. Every piece of data helps us learn more about these apex predators https://t.co/GC763NlETo

    1659214.7K viewsView on X
  • Aug 22, 20262.0x their median

    🦈 HOW LONG DOES IT TAKE A WHITE SHARK TO GROW UP? White sharks have a much longer road to adulthood than you might expect. Their slow growth and reproduction are just some of the reasons protecting these animals and the habitats they rely on is so important. https://t.co/0E4D6JjN96

    12523105.2K viewsView on X
  • Sep 3, 20261.7x their median

    🦈 WHERE DID MY SHARK GO? John Tyminski, OCEARCH Senior Data Analyst, breaks down why a shark may stop appearing on the Tracker and what those gaps in the data can actually mean. Follow animals on the #OCEARCH Global Shark Tracker in real time ➡️https://t.co/8KvBHHsYYe https://t.co/st79Td2c6V

    10917107.9K viewsView on X
  • Aug 18, 20261.6x their median

    🦈 WHICH SHARKS MADE A MOVE THIS WEEK? We’re checking in on a few white sharks moving across the western North Atlantic. 🌊 Track them on the free OCEARCH Global Shark Tracker: https://t.co/hHHUmqYKBD Brookes, Bella, Nori, Cayo and Ripple were tagged by the @Tancookstation. https://t.co/OJCFClF2Bp

    10514205.0K viewsView on X
  • Sep 11, 20261.6x their median

    🦈 “THAT’S A VERY VERY BIG SHARK” Go behind the scenes and relive the moment in the full SHARKIVES Chapter 67, available exclusively with Shark Tracker+ on the OCEARCH Global Shark Tracker app. Support the science. Protect the ocean. Unlock the story ➡️ https://t.co/Q6IR59AZ0i https://t.co/XuwerDTF3q

    10311115.2K 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

#factsoverfear#ocearch#sharkscience#whiteshark#marinescience

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 74 interactions against 142K followers, an engagement rate of 0.052%. Measured over 30 original posts, its engagement rate beats 41% of 15,519 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 4.5K times each, and 1.67% of those impressions turn into an interaction. That is about 3.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 30 posts sampled, 100% carry an image or video, 77% are part of a thread and 47% link out. The account's strongest tracked post pulled 660 interactions, about 8.9x its own typical post. Recurring topics include #factsoverfear, #ocearch, #sharkscience.

What is OCEARCH's engagement rate on X?
OCEARCH (@OCEARCH) has an engagement rate of 0.052%, based on the median interactions across 30 original posts from the last 30 days against 142,130 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.052%, OCEARCH sits above the 25th percentile of the 157,515 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 @OCEARCH have real engagement?
Its engagement rate beats 41% of the tracked X accounts closest to it in follower count (15,519 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 @OCEARCH post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 1.8 posts per day across the measured window.

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