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JiGGA ✞ engagement report

@CjayyTaughtHer - 218K followers on X

Measured over 92 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 218K followers
Per impression
0.084%
4.2K views on a typical post
Reach
1.92%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
3.07/day
active 87% of days
Peak time
22:00 UTC
Saturday

A typical post picks up 4 interactions against 218K followers, an engagement rate of 0.002%. Measured over 92 original posts, its engagement rate beats 7% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.2K times each, and 0.084% of those impressions turn into an interaction. That is about 1.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 22:00 UTC, and Saturday is the busiest day of the week. The account's strongest tracked post pulled 99K interactions, about 24643x its own typical post. Recurring topics include #thedropfx, #thedrop, #hookem.

Measured over 92 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #thedropfx, #thedrop, #hookem.

Compared with accounts its own size

JiGGA ✞'s engagement rate beats 7% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 8 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 5% 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 0.002%, JiGGA ✞ sits below the 10th percentile of the 157,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,055 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 22:00 UTC, and Saturday 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video1% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 1% 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 58 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 23, 202124643x their median

    Man you turn the AC off in ya car for 1 sec and it feel like the sun hopped in the passenger seat 😂😂

    80K17K76997View on X
  • Oct 2, 202638x their median

    i have used dark mode for so long that a white screen hurts my eyes

    10444226.8K viewsView on X
  • Sep 29, 202634x their median

    Unfortunately, sometimes you have to be a lil mean to make people realize you're nothing to play with.

    9540016.0K viewsView on X
  • Oct 2, 202632x their median

    job shaming is so weird. everybody is just trying to survive

    9034036.5K viewsView on X
  • Sep 23, 202632x their median

    The way James told homie I need that & went to squabble in the room I know unk Jerome smiling down THAT BOY KNOWS HOW TO SQUABBLE !!!!! #thedrop #thedropfx https://t.co/M7s4NIZn2m

    11311126.0K viewsView on X
  • Oct 2, 202631x their median

    Normalize buying yourself something nice after payday. You’re not working just to pay bills and buy groceries

    9328016.6K viewsView on X
  • Aug 30, 202630x their median

    i hope that everyone finds their person. it’s rough out here..

    8531307.1K viewsView on X
  • Sep 3, 202626x their median

    i’m so tired of this economy… $20 does nothing in my tank!

    7323247.1K viewsView on X
  • Sep 3, 202625x their median

    People say fuck you in different ways, you gotta pay attention.

    6336206.9K viewsView on X
  • Sep 17, 202625x their median

    Women are actually very understanding if you’re honest with them, you don’t even have to do all that lying

    6430047.9K 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

#thedropfx#thedrop#hookem#lioness#hooken

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 4 interactions against 218K followers, an engagement rate of 0.002%. Measured over 92 original posts, its engagement rate beats 7% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.2K times each, and 0.084% of those impressions turn into an interaction. That is about 1.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 22:00 UTC, and Saturday is the busiest day of the week. The account's strongest tracked post pulled 99K interactions, about 24643x its own typical post. Recurring topics include #thedropfx, #thedrop, #hookem.

What is JiGGA ✞'s engagement rate on X?
JiGGA ✞ (@CjayyTaughtHer) has an engagement rate of 0.002%, based on the median interactions across 92 original posts from the last 30 days against 217,644 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, JiGGA ✞ sits below the 10th percentile of the 157,374 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 @CjayyTaughtHer have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom 10% 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 @CjayyTaughtHer post?
Most posts go out around 22:00 UTC, and Saturday is its busiest day, at roughly 3.07 posts per day across the measured window.

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