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Naomi Brockwell priv/acc engagement report

@naomibrockwell - 95K followers on X

Measured over 22 original posts from a 30-day window, last computed on September 18, 2026.

Engagement

Top quarter for its size
Per follower
0.714%
of 95K followers
Per impression
6.57%
10K views on a typical post
Reach
10.9%
of its followers see a post
Typical post
676
interactions (median)
Saved
0.345%
36 bookmarks on a typical post
Posting rate
2.23/day
active 70% of days
Peak time
12:00 UTC
Friday

A typical post picks up 676 interactions against 95K followers, an engagement rate of 0.714%. Measured over 22 original posts, its engagement rate beats 84% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 10K times each, and 6.57% of those impressions turn into an interaction. That is about 10.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 18% link out. The account's strongest tracked post pulled 6.9K interactions, about 10x its own typical post. Recurring topics include #flock, #masssurveillance, #usa.

Measured over 22 original posts from a 30-day window, last computed on September 18, 2026. Recurring tags: #flock, #masssurveillance, #usa.

Compared with accounts its own size

Naomi Brockwell priv/acc's engagement rate beats 84% of the tracked X accounts closest to it in follower count (21,185 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 91% 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 0.714%, Naomi Brockwell priv/acc sits above the 75th percentile of the 213,004 accounts in this comparison. That places it in the top 25% band, which runs 0.698% to 2.61%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 12:00 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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 video64% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 64% 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.
  • 18% 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 189 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 9, 202610x their median

    https://t.co/Vk2ZHrmvRi

    5.9K8711106872K viewsView on X
  • Sep 16, 20267.9x their median

    https://t.co/et2yUX7SP6

    4.1K1.0K1527150K viewsView on X
  • Sep 13, 20265.9x their median

    my account is 19 years old btw https://t.co/Jy6aS4wA5F

    3.8K976214122K viewsView on X
  • Sep 11, 20264.1x their median

    https://t.co/pwcoafJhnG

    2.3K400462432K viewsView on X
  • Aug 13, 20263.6x their median

    Government surveillance centers are monitoring anti-Flock Instagram accounts and handing over data to local law enforcement. https://t.co/6H03UCtWlQ

    1.6K4651741801.0M viewsView on X
  • Aug 17, 20262.6x their median

    At @defcon I met so many people building resistance tech: tools to detect Flock cameras, IMSI catchers, Bluetooth trackers, and other surveillance that's been embedded in our lives. People are fighting back 💪 https://t.co/8UBtfW0puC

    1.4K306211133K viewsView on X
  • Sep 6, 20262.3x their median

    We've developed a secure paste feature replacing traditional clipboard APIs. Users will be able to take away clipboard access from apps to use this instead. It integrates into the standard selection toolbar, input methods, accessibility services and keyboard shortcuts. We plan to get it merged soon. A small subset of apps including those written in Flutter implement their own text selection toolbar. We've worked around this by adding a Paste button to the default keyboard. We'll be replacing AOSP Keyboard with a much better keyboard and will carry over adding this feature to the new one too. Android only permits the currently focused app and keyboard to read the clipboard. However, sensitive data often lingers around in the clipboard for a while and privacy invasive apps can read it. Android shows a notice for apps reading clipboard content set by other apps but by then it's too late. Our approach is replacing the inherently problematic API-based clipboard access approach used by both desktop and mobile operating systems. It's another overhaul of the privacy model for apps similar to our Contact Scopes and Storage Scopes features. We have many of these privacy features planned. Our approach still allows apps to read the clipboard if they set the current content themselves. It only takes away the ability to read content set by other apps. It preserves usability as much as possible by only blocking the most problematic part of the API and replacing it with an alternative.

    1.4K93351479K viewsView on X
  • Sep 15, 20262.3x their median

    Privacy is for normal people.

    1.3K180631724K viewsView on X
  • Dec 18, 20251.9x their median

    Keonne Rodriguez of @SamouraiWallet goes to prison tomorrow. Because he built a privacy tool. Governments says there’s no legitimate reason for anyone to want privacy. And they're waging war on those who say otherwise. Please watch the full interview. https://t.co/TzZSLzaM6y

    8472916654142K viewsView on X
  • Aug 21, 20261.6x their median

    The questions isn't whether Flock/Axon/ALPRs stop crime. The question is "at what cost". Warrantless mass surveillance is too high a price for society to pay.

    8291645799.8K 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

#flock#masssurveillance#usa

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 676 interactions against 95K followers, an engagement rate of 0.714%. Measured over 22 original posts, its engagement rate beats 84% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 10K times each, and 6.57% of those impressions turn into an interaction. That is about 10.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 18% link out. The account's strongest tracked post pulled 6.9K interactions, about 10x its own typical post. Recurring topics include #flock, #masssurveillance, #usa.

What is Naomi Brockwell priv/acc's engagement rate on X?
Naomi Brockwell priv/acc (@naomibrockwell) has an engagement rate of 0.714%, based on the median interactions across 22 original posts from the last 30 days against 95,341 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.714%, Naomi Brockwell priv/acc sits above the 75th percentile of the 213,004 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 @naomibrockwell have real engagement?
Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top quarter 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 @naomibrockwell post?
Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 2.23 posts per day across the measured window.

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