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John Bollinger engagement report

@bbands - 300K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Per follower
0.008%
of 300K followers
Per impression
0.174%
14K views on a typical post
Reach
4.80%
of its followers see a post
Typical post
25
interactions (median)
Saved
0.014%
2 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
21:00 UTC
Thursday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 25 interactions against 300K followers, an engagement rate of 0.008%. Posts are seen about 14K times each, and 0.174% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 21:00 UTC, and Thursday is the busiest day of the week. Of the 2 posts sampled, 50% link out. The account's strongest tracked post pulled 12K interactions, about 488x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on September 5, 2026. Recurring tag: #ifta2026.

Where this sits in the catalog

At 0.008%, John Bollinger sits above the 10th percentile of the 66,393 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.5%
Engagement rate as a share of followers, across the 66,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,924 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 percentile119.5%

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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video0% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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.
  • 50% 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 409 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

  • Oct 18, 2025488x their median

    Potential 'W' bottoms in Bollinger Band terms in $ETHUSD and $SOLUSD, but not in $BTCUSD. Gonna be time to pay attention soon I think.

    10.0K1.4K4444162.6M viewsView on X
  • May 6, 2026310x their median

    Yesterday our trend model for Bitcoin turned positive and we took a position in our Tactica program, which is now fully invested. $BTC

    6.5K7272722731.4M viewsView on X
  • Mar 14, 2025219x their median

    Of all the major crypto vehicles Ripple resisted the recent singing of the Siren's song best. Will it become the new leader? $XRPUSD

    4.2K879247155981K viewsView on X
  • Oct 25, 2025168x their median

    Who doesn't like this chart? Please explain why. https://t.co/fAV2LHmbvg

    3.4K31439778612K viewsView on X
  • Dec 21, 2017163x their median

    Bollinger Bands define high and low on a relative basis. By definition prices are high at the upper band and low at the lower band.

    3.2K38142959View on X
  • Jul 6, 2025153x their median

    Bitcoin looks to be setting up for an upside breakout. $BTCUSD More as the week gets going.

    3.2K363144110432K viewsView on X
  • Jan 5, 2026149x their median

    A little classic technical analysis: Near perfect base for $BTCUSD with a Bollinger Band Squeeze and breakout. First upside target 100,000, second ~107,000, third ??? https://t.co/7A43k87lZn If we fail here it is back into the trenches.

    3.2K37613954355K viewsView on X
  • Apr 10, 2025104x their median

    Classic Bollinger Band W bottom setting up in $BTCUSD. Sill needs confirmation. https://t.co/v1qfBbEoDV Remember: The fraudsters are legion. I will never ask you for anything. #BollingerBands #btc

    2.1K29113557299K viewsView on X
  • Aug 6, 202584x their median

    Bitcoin $BTCUSD and a number of the other cryptos are setting up a head fake after a Bollinger Band Squeeze. Interestingly, the pattern is not evident in the ETFs as they don't trade on weekends and holidays. Analyst beware!

    1.8K12211244454K viewsView on X
  • Jul 10, 202576x their median

    There's the breakout in $BTCUSD we were looking for. https://t.co/I79jgOxab1

    1.6K175722192K 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

#ifta2026

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 25 interactions against 300K followers, an engagement rate of 0.008%. Posts are seen about 14K times each, and 0.174% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 21:00 UTC, and Thursday is the busiest day of the week. Of the 2 posts sampled, 50% link out. The account's strongest tracked post pulled 12K interactions, about 488x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is John Bollinger's engagement rate on X?
John Bollinger (@bbands) has an engagement rate of 0.008%, based on the median interactions across 2 original posts from the last 30 days against 299,826 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, John Bollinger sits above the 10th percentile of the 66,393 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 @bbands have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @bbands post?
Most posts go out around 21:00 UTC, and Thursday is its busiest day, at roughly 0.07 posts per day across the measured window.

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