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Banks engagement report

@Banks - 2.7M followers on X

Measured over 1 original post from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.013%
of 2.7M followers
Per impression
0.319%
112K views on a typical post
Reach
4.14%
of its followers see a post
Typical post
356
interactions (median)
Saved
0.024%
27 bookmarks on a typical post
Posting rate
0.63/day
active 37% of days
Peak time
16:00 UTC
Monday

Early reading. We have captured 1 original post 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 356 interactions against 2.7M followers, an engagement rate of 0.013%. Posts are seen about 112K times each, and 0.319% of those impressions turn into an interaction. That is about 4.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 165K interactions, about 90x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 25, 2026.

Where this sits in the catalog

At 0.013%, Banks sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.143%
75th percentile0.677%
90th percentile2.55%
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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 100% 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.
  • 0% 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 51 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • May 14, 201990x their median

    Was just in a gas station and saw a little homie, maybe 13 years old looking around. Offered to buy him a pack of Pokemon cards and he looked up and said "nah, I'll take a pack of JUUL pods though." When I told him no he told me to fuck myself. These kids are outta control.

    147K16K1.8K947View on X
  • Jul 20, 2026107x their median

    JUST IN: American Heart Association reveals drinking up to five cups of coffee per day may lower the risk of stroke, heart failure & type 2 diabetes.

    32K2.2K1.9K2.3K5.5M viewsView on X
  • Nov 22, 2024102x their median

    🚨 NEW: Babe wake up! It’s happening again!! 😂 https://t.co/8DodxQasvE

    31K3.8K95459247M viewsView on X
  • Apr 29, 202678x their median

    The truth about FaZe. Find out what I'm doing next, tomorrow. https://t.co/ke5DnDyCbD

    25K6621.3K3324.5M viewsView on X
  • Aug 19, 202663x their median

    [LEAK] GTA 6 leaker says there’s a currency in the game that can be traded for real-life money. https://t.co/iatDzeAdej

    21K6022954483.9M viewsView on X
  • Aug 1, 202645x their median

    Corinna Kopf attempts to make a move on David Dobrik before FaZe Banks jumps into bed with them FaZe Banks: "I don't give a f*ck whose birthday it is! Eiffel Tower?! We can go to Paris tonight!" David Dobrik: "Yeah get in here!" https://t.co/DGf0S3gR25

    16K125154144.4M viewsView on X
  • Jul 30, 202643x their median

    JUST IN: Growing number of job applicants are hiding prompt injections in their résumés — to trick AI screeners into ranking them as qualified candidates.

    14K6432721851.5M viewsView on X
  • Jul 30, 202637x their median

    GIVING SOMEONE WHO LIKES THIS TWEET $1,000 IN THE NEXT 10 MINUTES! GO!

    7.6K1.3K4.1K83138K viewsView on X
  • Jul 16, 202612x their median

    FaZe Banks says streaming is ruining World Cup games 😳 "the worst seats you can get are $10,000 and there's 2 kids behind you in full Haaland makeup cosplaying pro players, screaming, and clip farming" "you're in a seat paying thousands of dollars to be in and there's people streaming behind you, streaming your conversations"

    8.5K81255421.9M viewsView on X
  • Jul 30, 202624x their median

    Banks reveals FaZe Clan tried taking 10% of the streamers revenue which is what ultimately led to everyone leaving the organization. https://t.co/eUaXmrBCe1

    8.5K501066773K 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 356 interactions against 2.7M followers, an engagement rate of 0.013%. Posts are seen about 112K times each, and 0.319% of those impressions turn into an interaction. That is about 4.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 165K interactions, about 90x its own typical post. Only 1 original post 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 Banks's engagement rate on X?
Banks (@Banks) has an engagement rate of 0.013%, based on the median interactions across 1 original posts from the last 30 days against 2,697,251 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Banks sits above the 10th percentile of the 204,583 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 @Banks have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Banks post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.63 posts per day across the measured window.

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