Back to @Karen_Moroe's profile

Karen engagement report

@Karen_Moroe - 84K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Per follower
0.254%
of 84K followers
Per impression
0.415%
51K views on a typical post
Reach
61.2%
of its followers see a post
Typical post
213
interactions (median)
Saved
0.023%
12 bookmarks on a typical post
Posting rate
1.47/day
active 50% of days
Peak time
08:00 UTC
Monday

Early reading. We have captured 5 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 213 interactions against 84K followers, an engagement rate of 0.254%. Posts are seen about 51K times each, and 0.415% of those impressions turn into an interaction. That is about 61.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video, 60% are part of a thread and 20% link out. The account's strongest tracked post pulled 723 interactions, about 3.4x its own typical post. Only 5 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 5 original posts from a 30-day window, last computed on September 3, 2026.

Where this sits in the catalog

At 0.254%, Karen sits above the 50th percentile of the 66,829 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%
p99118.1%
Engagement rate as a share of followers, across the 66,829 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,240 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 percentile118.1%

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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 link20% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 20% 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 610 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

  • Aug 24, 20263.4x their median

    The hardest part of building Vocci was never the AI. It was the size. Making every component work together at ring scale took relentless engineering. Every detail is built for the moment it reaches your hand. Explore more: https://t.co/PnlZcOGoQR Wear the Context, Loop in Real Life.

    5556838621.1M viewsView on X
  • Aug 17, 2026

    I connected my teams web app to Replay QA before merging new changes. Instead of manually clicking through flows or writing a full test suite from scratch, the chat agent set up automated quality checks in under two minutes. Here is how the setup flow looks: https://t.co/suJ0wAcmss

    1089713043K viewsView on X
  • Aug 18, 2026

    Sometimes the missing part of a story comes before the first frame. CapCut Seedance 2.5 1080p is now live. Use AI Image to batch-create the characters, locations and visual references, then AI Video to generate the main sequence. If the opening lacks context, AI Extend in CapCut PC can extend backward and build the setup that makes the existing moment clearer. AI Edit refines local details, Edit Pilot helps with repeated changes, and the multi-track timeline adds dialogue, captions, music, pacing and final export. #CapCutPC #AIVideoEditor #CapCutSeedance25 #Seedance251080p

    1009419054K viewsView on X
  • Aug 31, 2026

    The slowest part of AI video isn't the quality — it's the wait, H3 Max on MiniMax Design fixes that. Post-trained by fal for high-speed generation, it renders video faster than Twitch streams — so you can iterate, experiment, and ship in minutes https://t.co/Ch2s6EK02m

    1009911044K viewsView on X
  • Aug 14, 2026

    I almost cancelled Viktor in week 1. By month-end, three people on my team had handed him part of their job. I work with a small team creating content and brand strategy, and I initially brought Viktor in for one narrow job: turning messy source material into structured briefs we could actually use. The first week wasn't impressive. I gave him vague instructions, got back work that needed too much cleanup, and started wondering whether adding another AI tool was worth the effort. The problem was how I was using him. I was asking questions instead of giving him a job to own. Once we gave him real context, clear responsibilities, and a defined workflow, things changed. Our editor started using him for research summaries and fact-checking. Our strategist began delegating decision briefs. Our ops lead started routing recaps, repurposing, and recurring follow-ups through him. What started as one content workflow became part of how the team operated. The team still reviews and approves everything before it moves forward. That part didn't change. Three roles lighter, and we never opened the req we'd been talking about for that work. That's what changed my mind. Viktor didn't need to become another person on the team. He became someone the team could actually delegate work to. Most teams cancelling in week 1 aren't judging the product. They're judging their own instructions. A copilot helps you work. An AI employee works when you don't. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #ContentStrategy #AItools Paid Partnership

    868512051K 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.

Buy or sell X accounts - escrow-protected

PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 213 interactions against 84K followers, an engagement rate of 0.254%. Posts are seen about 51K times each, and 0.415% of those impressions turn into an interaction. That is about 61.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video, 60% are part of a thread and 20% link out. The account's strongest tracked post pulled 723 interactions, about 3.4x its own typical post. Only 5 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 Karen's engagement rate on X?
Karen (@Karen_Moroe) has an engagement rate of 0.254%, based on the median interactions across 5 original posts from the last 30 days against 83,724 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.254%, Karen sits above the 50th percentile of the 66,829 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 @Karen_Moroe have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Karen_Moroe post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 1.47 posts per day across the measured window.

Keep going