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Planet engagement report

@planet - 263K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 8, 2026.

Engagement

Middle of its size range
Per follower
0.026%
of 263K followers
Per impression
0.62%
11K views on a typical post
Reach
4.24%
of its followers see a post
Typical post
69
interactions (median)
Saved
0.054%
6 bookmarks on a typical post
Posting rate
1.07/day
active 57% of days
Peak time
17:00 UTC
Monday

A typical post picks up 69 interactions against 263K followers, an engagement rate of 0.026%. Measured over 19 original posts, its engagement rate beats 38% of 6,874 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 11K times each, and 0.62% of those impressions turn into an interaction. That is about 4.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video, 21% are part of a thread and 79% link out. The account's strongest tracked post pulled 1.8K interactions, about 26x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on September 8, 2026.

Compared with accounts its own size

Planet's engagement rate beats 38% of the tracked X accounts closest to it in follower count (6,874 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 34% 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 0.026%, Planet sits above the 25th percentile of the 66,128 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video84% of posts+111%+108% to +115%34K
Outbound link79% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 84% 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.
  • 79% 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 309 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 27, 202626x their median

    We’re sharing an open data release for the flood that swept through the Bhote Koshi–Trishuli river corridor across the China-Nepal border today. This resource is intended to help support disaster response experts, and will be updated as we capture more imagery of impacted regions. Our thoughts are with the communities affected and the first responders working to respond to this disaster. Access the dataset at: https://t.co/8Wtq3mtWqH

    1.4K3522017304K viewsView on X
  • Aug 31, 20262.7x their median

    Tanager-2 and 18 SuperDoves have arrived at Vandenberg and are gearing up for our upcoming launch! 🛰️ More updates to come as launch day gets closer: https://t.co/kvFuMtVLCm https://t.co/SXoWAxDuIP

    1512521122K viewsView on X
  • Jul 14, 20262.7x their median

    Our first satellite, Dove 2, launched in 2013 and helped usher in a new era of Earth observation. After 13+ years in orbit, it safely reentered the atmosphere on July 1. Farewell, Dove 2 🤍 https://t.co/8IjGHV9TVF

    1561611225K viewsView on X
  • Aug 17, 20262.5x their median

    HEO x @Planet We're integrating Planet's SkySat constellation into our Non-Earth Imaging network, pushing our sensor network past 50 in-orbit sensors for faster revisit rates and more consistent imaging for space domain awareness customers. Full release: https://t.co/YY8nbInw0Z https://t.co/ukTOFEMp6M

    142194640K viewsView on X
  • Aug 10, 20262.2x their median

    We’re partnering with the Government of Rwanda to launch a new national satellite data program. This deal marks Planet’s first national program of its kind in Africa. Managed by @RwandaSpace, the initiative provides Planet data to agencies, universities & select startups, for activities like monitoring agriculture, tracking forest health, urban planning, disaster response and more. 👉 https://t.co/ENy6OlPZ0W

    1142521019K viewsView on X
  • Sep 3, 20262.0x their median

    We’ve signed a 7-figure, 1-year agreement with a European defense and intelligence customer. This contract builds on our continued growth in the global defense sector, and will supply the customer with timely and actionable intelligence across critical areas of interest for operational planning. Read the full release: https://t.co/aCqo0YlC9C

    11312859.0K viewsView on X
  • Aug 18, 20262.0x their median

    Two years ago we launched Tanager-1, our first hyperspectral satellite. 🛰 Since then, with our partners @carbonmapper, we've identified 11,000+ methane plumes from ~5,000 sources, and enabled the first detection of point-source ammonia using shortwave infrared imaging spectroscopy from orbit. More Tanagers are in development, including a specialized SWIR spacecraft: stay tuned!

    109262013K viewsView on X
  • Sep 1, 20262.0x their median

    See Planet imagery in action in @TheEconomist. As Chinese businesses expand their overseas supply chains at rapid speed, a major rewiring of global manufacturing is underway. Look closer at how our data tracks global commerce in real-time. 🔗 https://t.co/w0etXgLqtu https://t.co/NhVj5SNLrF

    113161514K viewsView on X
  • Aug 5, 20261.9x their median

    Look what just landed in Berlin! 👀 Our new Pelican model has arrived at our European Headquarters, ahead of our new manufacturing facility opening later this year. It’s getting settled in and can’t wait to welcome our employees, customers, and partners soon! 🛰️ https://t.co/MF6g4kwsEN

    11610209.3K viewsView on X
  • Sep 4, 20261.7x their median

    Today, we’re zooming in on the multihued waters of Torres del Paine in Chilean Patagonia. These lakes range in color from turquoise to navy, reflecting varying amounts of suspended glacial sediment. https://t.co/NUzBZXm6aH

    1058309.3K 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 69 interactions against 263K followers, an engagement rate of 0.026%. Measured over 19 original posts, its engagement rate beats 38% of 6,874 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 11K times each, and 0.62% of those impressions turn into an interaction. That is about 4.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video, 21% are part of a thread and 79% link out. The account's strongest tracked post pulled 1.8K interactions, about 26x its own typical post.

What is Planet's engagement rate on X?
Planet (@planet) has an engagement rate of 0.026%, based on the median interactions across 19 original posts from the last 30 days against 262,740 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.026%, Planet sits above the 25th percentile of the 66,128 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 @planet have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (6,874 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 @planet post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 1.07 posts per day across the measured window.

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