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Rebecca Nagle engagement report

@rebeccanagle - 85K followers on X

Measured over 47 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.276%
of 85K followers
Per impression
8.26%
2.8K views on a typical post
Reach
3.34%
of its followers see a post
Typical post
235
interactions (median)
Saved
0.316%
9 bookmarks on a typical post
Posting rate
2.67/day
active 70% of days
Peak time
19:00 UTC
Thursday

A typical post picks up 235 interactions against 85K followers, an engagement rate of 0.276%. Measured over 47 original posts, its engagement rate beats 69% 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 2.8K times each, and 8.26% of those impressions turn into an interaction. That is about 3.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 47 posts sampled, 49% carry an image or video, 55% are part of a thread and 43% link out. The account's strongest tracked post pulled 6.6K interactions, about 28x its own typical post.

Measured over 47 original posts from a 30-day window, last computed on September 2, 2026. Recurring tag: #landback.

Compared with accounts its own size

Rebecca Nagle's engagement rate beats 69% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 5 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 95% 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 0.276%, Rebecca Nagle sits above the 50th percentile of the 66,691 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99118.6%
Engagement rate as a share of followers, across the 66,691 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,485 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 percentile118.6%

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 19:00 UTC, and Thursday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video49% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 49% 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.
  • 43% 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 252 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

  • Aug 25, 202628x their median

    A mom moved her family across the country so her 12-year-old could attend the Osage Nation's language immersion school. Days before the school year started, the chief shut it down. 1,000+ community members asked him to reconsider. He said no.

    6.4K189111111K viewsView on X
  • Aug 14, 202615x their median

    HUGE VICTORY! A federal appeals court ruled Enbridge has been trespassing on the Bad River Band of Lake Superior Chippewa's reservation since 2013 w/ the Line 5 pipeline. The pipeline must come out. After more than a decade of fighting, tribal sovereignty wins. https://t.co/Bp7wPR0hId

    2.8K763303631K viewsView on X
  • Aug 20, 20269.8x their median

    A federal judge ruled a border wall can cross the Tohono O'odham Nation's reservation, over the tribe’s objection. The proposed wall would destroy sacred sites, burial grounds, and ancestral lands the O'odham have stewarded since time immemorial. But the fight isn’t over.

    1.6K674161317K viewsView on X
  • Aug 11, 20265.5x their median

    Deb Haaland’s grandmother was put on a train and sent to a government boarding school–where Native children faced widespread abuse and culture genocide. Now Haaland is running to be the first Native governor of New Mexico. Incredible interview by Shaun Griswold ⬇️ https://t.co/PrfB0Hbt3g

    1.0K263518.7K viewsView on X
  • Aug 6, 20263.8x their median

    HUGE #LandBack win!!! California just approved a $25M zero-interest loan so the Quartz Valley Indian Reservation can reclaim nearly 40,000 acres of ancestral land in the Klamath River Basin. State officials are calling it the second-largest tribal land-back deal in CA history.

    6681951199.8K viewsView on X
  • Aug 7, 20263.4x their median

    Tribal communities continue to be on the front line of climate catastrophe. Wildfires have consumed nearly 230,000 acres of tribal land in the Pacific Northwest. Tribes across four reservations (Colville, Warm Springs, Umatilla, and Yakama Nation) are facing evacuation orders. https://t.co/ao4Lotz9CT

    524265736.6K viewsView on X
  • Aug 5, 20263.1x their median

    BIG VICTORY! After a years of fighting, a Michigan court shut down the permit for Enbridge’s Line 5 tunnel. The pipeline would have gone through the Great Lakes, the largest source of fresh water in the world. But the Michigan Supreme Court said no.👇

    5671546511K viewsView on X
  • Aug 27, 20263.1x their median

    4 in 5 Native women will experience violence in their lifetime. 97% of those perpetrators are non-Native. Why? A 1978 Supreme Court ruling, Oliphant v. Suquamish Indian Tribe, said tribes can't prosecute non-Natives who commit crimes on their own land. https://t.co/P60vzcA5xN

    465247877.2K viewsView on X
  • Aug 19, 20263.0x their median

    Walter Echo-Hawk was on his land when a fracking crew showed up unannounced. After the feds approved the drilling permit, they never told him. A federal judge just voided those permits. It took a decade, but he finally won. https://t.co/QeDIVqkgU0 https://t.co/69Oo0SPCqo

    520179424.2K viewsView on X
  • Aug 12, 20262.7x their median

    A Navajo-owned mining company is asking the Trump admin for help expanding their mine by 12,000 acres —displacing a dozen Navajo families in the process. The coal wouldn't even be burned in the US, but sold to South Korea, Japan, and Vietnam.

    49785936189K 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

#landback

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 235 interactions against 85K followers, an engagement rate of 0.276%. Measured over 47 original posts, its engagement rate beats 69% 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 2.8K times each, and 8.26% of those impressions turn into an interaction. That is about 3.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 47 posts sampled, 49% carry an image or video, 55% are part of a thread and 43% link out. The account's strongest tracked post pulled 6.6K interactions, about 28x its own typical post.

What is Rebecca Nagle's engagement rate on X?
Rebecca Nagle (@rebeccanagle) has an engagement rate of 0.276%, based on the median interactions across 47 original posts from the last 30 days against 85,033 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.276%, Rebecca Nagle sits above the 50th percentile of the 66,691 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 @rebeccanagle have real engagement?
Its engagement rate beats 69% 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 @rebeccanagle post?
Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 2.67 posts per day across the measured window.

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