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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 118.1% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 20% 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.
- 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
- 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
- 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
- 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
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 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.