Kevin O. Frank engagement report
@kvnfrnk - 61K followers on X
Measured over 1 original post from a 30-day window, last computed on October 5, 2026.
Engagement
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 16 interactions against 61K followers, an engagement rate of 0.028%. Posts are seen about 8.8K times each, and 0.182% of those impressions turn into an interaction. That is about 14.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 85 interactions, about 5.3x 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 5, 2026.
Where this sits in the catalog
At 0.028%, Kevin O. Frank sits above the 25th percentile of the 205,374 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 Friday 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% 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.
- 100% 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 334 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
- Feb 4, 20265.3x their median
X recently made its algorithm public. Here’s an important part of how tweets get distribute often overlooked. When you tweet, X first shows it to a small test group , mostly your followers, to decide whether the content is engaging. If they engage fast, distribution expands. If they don’t , reach slows or stops. That’s why follower quality matters more than follower count. For large accounts especially, having many inactive, dead, or bot followers (often accumulated over years) is a real problem. X may show your tweet to these accounts first and they don’t engage. So the algorithm’s initial test fails, even if the content is good. Keeping your follower base active and clean helps that first test succeed. Circleboom’s bulk inactive & bot removal feature saves a huge amount of time for large accounts, and that’s why it has helped many of our users, particularly large creators. Once your follower base is clean, the algorithm’s first test becomes much more reliable. But there’s still a limit: even your best followers don’t see every tweet. Timelines move fast. This is where the recent Circleboom feature comes in. > ENGAGING FOLLOWERS We collect your retweeters and likers , the users who already engage with your content and help it spread. These are the accounts X trusts, but they can still miss your tweets due to timing. With Circleboom, we collect these engaged users and run hyper-targeted X Ads only to them. You’re not trying to find new people, you’re making sure the right people are present in that first test group. -- We tested this with several creators, and impressions increased by roughly 6×–8% almost immediately
- Feb 16, 20233.8x their median
🎉 Exciting news! Our AI Content Generator, powered by OpenAI, is here! 🚀 Say goodbye to hours of content creation and hello to engaging posts in seconds. Ready to see how it works? Try it out today! 👉 https://t.co/j1sntHzuZX #OpenAI https://t.co/VBjMtrDqbn
- Jun 8, 20262.9x their median
Inactive followers can decrease your reach indirectly. not because X penalizes you for having them, but because they don't engage. The logic is simple: X Account A: • 100,000 followers • 50,000 inactive • 500 engagements = 0.5% engagement rate X Account B: • 50,000 followers • Mostly active audience • 500 engagements = 1.0% engagement rate Same number of engagements. Very different engagement quality. Since early engagement plays an important role in X's initial distribution test, audience quality matters. This is why many large creators periodically remove inactive followers. The goal isn't to increase follower count. The goal is to increase the percentage of followers who are actually active. Inactive followers don't help your content. They rarely engage, click, or repost. Over time, a large inactive audience can dilute engagement rates and make it harder to understand how your content is truly performing. That's why many creators regularly clean inactive followers from their accounts using Circleboom.
- May 25, 20262.4x their median
Are AEO, GEO, and AI Search Optimization Just SEO? Google Says Yes. After 15 Years of Watching Google, I Say No. https://t.co/WvCx10owF0
- Jun 10, 2026
Your title tag is the one line AI reads first. Most people still write it for the click. My rule now: How to Write a Title Tag for AI Search - Brand name - Function - Platform. https://t.co/UtcwJut162
- Aug 13, 2026
Twitter advertising agency pricing: The 4 numbers I check first.. https://t.co/KCD5uZBug2
- Feb 6, 2026
If you use X bookmarks as a “read later” list, don’t assume they’ll still be there. If the tweet gets deleted, you’re left with a dead link and no context. So if something matters, save it properly. Export your bookmarks once in a while. https://t.co/V2OgpHVcbM
- Sep 18, 2026
We are an X Enterprise developer company and we pay for Enterprise API access every month. In April I reported many websites selling data. X answered in September, to say the report had been filed. No finding. No position. No timeline. Four things @XDevelopers owes the developers who fund the platform https://t.co/FSgFqvoKzi
- Jun 6, 2026
Only people who have lived in Europe understand this 🙂. https://t.co/2l3GBqIXAr
- Jun 22, 2024
How to boost your engagement and impression on @X Maybe many of our users miss this, but I want to talk about one of the unique features of @Circleboom: Analyzing all your followers' tweets, their bios, and profiles. You can't imagine how helpful this data is if you use it in your content strategy. Want to know how this feature can boost your engagement and impressions? Let’s explore this feature together!
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 16 interactions against 61K followers, an engagement rate of 0.028%. Posts are seen about 8.8K times each, and 0.182% of those impressions turn into an interaction. That is about 14.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 85 interactions, about 5.3x 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 Kevin O. Frank's engagement rate on X?
- Kevin O. Frank (@kvnfrnk) has an engagement rate of 0.028%, based on the median interactions across 1 original posts from the last 30 days against 61,332 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.028%, Kevin O. Frank sits above the 25th percentile of the 205,374 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 @kvnfrnk have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @kvnfrnk post?
- Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 0.03 posts per day across the measured window.