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Octopus Intelligence engagement report

@Octopusintell - 132K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 132K followers
Per impression
0.539%
186 views on a typical post
Reach
0.14%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.47/day
active 33% of days
Peak time
06:00 UTC
Tuesday

A typical post picks up 1 interaction against 132K followers, an engagement rate of 0.001%. Measured over 16 original posts, its engagement rate beats 4% of 19,933 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 186 times each, and 0.539% of those impressions turn into an interaction. That is about 0.141% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video, 6% are part of a thread and 75% link out. The account's strongest tracked post pulled 1.6K interactions, about 1576x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Octopus Intelligence's engagement rate beats 4% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 8 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 27% 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%, Octopus Intelligence sits below the 10th percentile of the 200,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.67%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,898 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 percentile0.141%
75th percentile0.67%
90th percentile2.53%
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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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 video75% of posts+111%+108% to +115%34K
Outbound link75% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 75% 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.
  • 75% 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 239 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 28, 20261576x their median

    I fear this winter Britain is heading for the terrible trifecta: a gilt crisis, a sterling crisis, and an energy crisis. Hard times ahead.

    1.3K171762575K viewsView on X
  • Sep 29, 20261314x their median

    10 countries (The UAE, Israel, Saudi Arabia, United States, Morocco, Kuwait, Bahrain, Libya, Oman, and Egypt) were present at the Netanyahu-Mohammed bin Zayed summit according to a high ranking Emirati source. -Channel 14

    1.1K1772330111K viewsView on X
  • Sep 29, 20262.0x their median

    “Anthropic warns of ‘existential risks to humanity’ in IPO prospectus” So why are we letting it happen?

    1010499 viewsView on X
  • Sep 25, 20262.0x their median

    In an investigation, details matter. Global People-Powered Competitive Intelligence | Octopus Competitive Intelligence Agency | https://t.co/rTcoVISolc https://t.co/nlscD2sNBL

    1010197 viewsView on X
  • Sep 22, 20262.0x their median

    Reading the rep's loss notes. Four words. One of them is 'price'. We do People-Powered WIn-Loss Interviews and Analysis | Octopus Competitive Intelligence Agency | https://t.co/2AuBMfv6JM https://t.co/TKD0g74Ewh

    1010233 viewsView on X
  • Sep 29, 2026

    SaaS New Entrant Radar 28th September 2026 | By Octopus Competitive Intelligence Agency https://t.co/PDpjL9Jp2M SaaS New Entrant Radar 28th September 2026. Octopus Intelligence is the global people-powered competitive intelligence agency. HUMINT is at our core, but we also so monitoring and detailed indepth secondary competitive intelligence.

    1000121 viewsView on X
  • Sep 28, 2026

    If your competitor launches an aggressive marketing campaign that attacks you directly, it might look like confidence. But real confidence doesn’t attack others. Confident companies focus on their own work. Attack means fear. https://t.co/FK6r7Rzox0 Global People-Powered Competitive Intelligence | Octopus Competitive Intelligence Agency | https://t.co/zJjsg4ZhxI

    1000159 viewsView on X
  • Sep 28, 2026

    We lost on price We lost on features We lost in the demo They had chosen a vendor before the RFP reached us We do People-Powered WIn-Loss Interviews and Analysis | Octopus Competitive Intelligence Agency | https://t.co/2AuBMfv6JM https://t.co/o5qXGTI8We

    1000149 viewsView on X
  • Sep 24, 2026

    "The person who gets 1 shot needs everything to go right. The person who gets 1000 shots is going to score at some point. Find a way to play the game that ensures you get a lot of shots." @JamesClear

    1000700 viewsView on X
  • Sep 21, 2026

    Your CRM sales loss reasons are fiction. Change my mind. We do People-Powered WIn-Loss Interviews and Analysis | Octopus Competitive Intelligence Agency | https://t.co/2AuBMfv6JM https://t.co/y0AwjwF5Ky

    1000244 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 1 interaction against 132K followers, an engagement rate of 0.001%. Measured over 16 original posts, its engagement rate beats 4% of 19,933 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 186 times each, and 0.539% of those impressions turn into an interaction. That is about 0.141% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video, 6% are part of a thread and 75% link out. The account's strongest tracked post pulled 1.6K interactions, about 1576x its own typical post.

What is Octopus Intelligence's engagement rate on X?
Octopus Intelligence (@Octopusintell) has an engagement rate of 0.001%, based on the median interactions across 16 original posts from the last 30 days against 132,066 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Octopus Intelligence sits below the 10th percentile of the 200,567 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 @Octopusintell have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (19,933 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 @Octopusintell post?
Most posts go out around 06:00 UTC, and Tuesday is its busiest day, at roughly 1.47 posts per day across the measured window.

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