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Jason Hood engagement report

@JasonKHood - 252K followers on X

Measured over 1 original post from a 30-day window, last computed on September 26, 2026.

Engagement

Per follower
0.148%
of 252K followers
Per impression
3.50%
11K views on a typical post
Reach
4.22%
of its followers see a post
Typical post
372
interactions (median)
Saved
0.169%
18 bookmarks on a typical post
Posting rate
0.1/day
active 7% of days
Peak time
07:00 UTC
Wednesday

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 372 interactions against 252K followers, an engagement rate of 0.148%. Posts are seen about 11K times each, and 3.50% of those impressions turn into an interaction. That is about 4.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 2.0K 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 September 26, 2026.

Where this sits in the catalog

At 0.148%, Jason Hood sits above the 50th percentile of the 212,656 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.697%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 07:00 UTC, and Wednesday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 link100% 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.
  • 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 754 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

  • Jul 29, 20265.3x their median

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    1.2K3083181101.2M viewsView on X
  • Jun 18, 2026

    Excited to announce Viktor in Microsoft Teams. This week we crossed $20M in annualized revenue run rate. In Slack. One app, no sales team, no rollout. Now Viktor goes where the rest of the working world actually is. 320 million people work in Microsoft Teams. The biggest org chart on earth โ€“ departments, approval chains, the manager and the manager's manager. Here's what we actually built for them: the first AI where the barrier to entry is zero. You don't learn it. You don't prompt it. You don't even have to understand what AI can do. You @mention Viktor like a coworker, and the finished work comes back. In fact, you don't even need to mention Viktor. Viktor makes everyone AI-native. No course, no manual, no learning curve โ€“ the value comes to you, you don't reach for it. That's the mission: bring our rebellious optimist to the people who need him most. The operators and managers buried inside big companies. The frontline. The ones who were never shown what this could actually do for them โ€“ until today. Workspaces are where agents belong. Not apps. Viktor is live in Microsoft Teams. $100 in credits to start, no card. The AI for the rest of us โ€“ now where the rest of us report to someone.

    337468282692K viewsView on X
  • Sep 16, 2026

    $133,752 in new ARR in 30 days, with zero new hires. Thatโ€™s the result Authority Makers attributed to putting https://t.co/4rJQLx6oUs on outbound. Viktor works inside Slack and Microsoft Teams, connecting to 3,200+ tools to handle real outbound work: researching leads, drafting outreach, managing follow-ups, and updating the CRM. I gave Viktor two jobs at once. Both came back in Slack, ready for review. Thatโ€™s the difference between asking AI for an answer and delegating the work to an AI employee. Chatbots answer. Copilots assist. AI employees do the work. Try Viktor with $100 in free credits. No card required. Link in the first comment. #AIemployee #Sales #Outbound In partnership with Viktor. Check out here! https://t.co/K9BFwJeUTX

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  • May 22, 2026

    Claude + GPT Image 2 + seedance + Meta ads MCP Replaced my 10k/month performance marketing agency Here's the exact stack (and how it works): Step 1: Research Feed Claude your product URL, your competitors' URLs, and your top-performing ad angles. It builds your full brand brief + competitor intelligence in minutes. No agency strategist needed. Step 2: Static ads in seconds Claude writes image generation prompts based on your brief. Those prompts go straight into GPT Image 2. Out comes scroll-stopping creative. Batched. On-brand. No designer. Step 3: Video ads that convert Claude writes video prompts. Those go into Seedance 2.0. UGC-style videos. AI actor formats. Product showcases. All generated, not filmed. (Both GPT Image 2 + Seedance are live on HeyOz right now.) Step 4: Publish + optimize on autopilot Connect Claude to Meta Ads MCP. It publishes your creatives, monitors performance, and keeps iterating. Your agency was charging you for this. This entire workflow is documented in a guide I put together, covering prompts, setup, and the exact MCP config. Why this matters: Most brands are still paying for slow, expensive creative production. The ones who figure this out in the next 90 days will have an unfair advantage. Don't be the last one to know. Comment "REPLACE" and I'll send it to you directly.

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  • Jun 30, 2026

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    471534038K 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 372 interactions against 252K followers, an engagement rate of 0.148%. Posts are seen about 11K times each, and 3.50% of those impressions turn into an interaction. That is about 4.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 2.0K 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 Jason Hood's engagement rate on X?
Jason Hood (@JasonKHood) has an engagement rate of 0.148%, based on the median interactions across 1 original posts from the last 30 days against 251,866 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.148%, Jason Hood sits above the 50th percentile of the 212,656 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 @JasonKHood have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @JasonKHood post?
Most posts go out around 07:00 UTC, and Wednesday is its busiest day, at roughly 0.1 posts per day across the measured window.

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