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Pam Moore engagement report

@PamMktgNut - 265K followers on X

Measured over 100 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 265K followers
Per impression
0.643%
1.1K views on a typical post
Reach
0.41%
of its followers see a post
Typical post
7
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
3.9/day
active 77% of days
Peak time
14:00 UTC
Saturday

A typical post picks up 7 interactions against 265K followers, an engagement rate of 0.003%. Measured over 100 original posts, its engagement rate beats 11% of 20,444 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 1.1K times each, and 0.643% of those impressions turn into an interaction. That is about 0.412% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Saturday is the busiest day of the week. Of the 100 posts sampled, 21% carry an image or video. The account's strongest tracked post pulled 52 interactions, about 7.4x its own typical post. Recurring topics include #frenchiecrew, #aihumor, #curiosity.

Measured over 100 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #frenchiecrew, #aihumor, #curiosity.

Compared with accounts its own size

Pam Moore's engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 32% 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 0.003%, Pam Moore sits below the 10th percentile of the 205,475 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video21% of posts+111%+108% to +115%34K
Outbound link3% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 21% 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.
  • 3% 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 200 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 14, 20267.4x their median

    I'm seeing marketers argue that awareness doesn't matter because it isn't a conversion. This is how we wind up teaching people really bad marketing. People can't buy from a brand they've never discovered.

    3401712.1K viewsView on X
  • Sep 22, 20266.4x their median

    AI can help you execute a bad marketing plan faster. Before you automate the tasks, question the plan.

    2841302.5K viewsView on X
  • Aug 29, 20266.1x their median

    Serious question: What does ā€œauthentic contentā€ mean to you in 2026? Not if AI was used. What actually makes the CONTENT authentic?

    1602524.1K viewsView on X
  • Aug 29, 20265.6x their median

    What skill becomes MORE valuable because of AI? Not less. I'll start: Curiosity.

    1921712.7K viewsView on X
  • Aug 31, 20265.1x their median

    AI made it ridiculously easy to build something. Getting people to care about what you built is still hard. That requires knowing your customer, understanding the market, earning attention, building trust & giving people a reason to choose you Welcome back to marketing šŸ˜‚

    2231101.2K viewsView on X
  • Jun 24, 20264.4x their median

    The AI fear economy is booming Every day: 🚨 AI is coming for your career 🚨 AI is coming for your business 🚨 AI is coming for your creativity 🚨 AI is coming for your goldfish 🚨 AI is coming for your frenchie Or… You could spend same energy learning how to use AI Video created with @grok Imagine

    183913.9K viewsView on X
  • Sep 16, 20263.3x their median

    The people getting the most from AI aren’t always the most technical. šŸ¤“ They’re often the most curious. 🧐 šŸ¤”

    192201.2K viewsView on X
  • Sep 14, 20263.3x their median

    LinkedIn is turning into platform of Claude created AI slop CMO Guide Templates. The AI Slop posts: ā€œI created this How to be a CMO 2026 Guide with Claudeā€¦ā€ ā€œComment CMO to get my CMO Guideā€ Let me rephrase that for you…. ā€œHere is my stupid CMO guide Claude did for me without any input from me. It’s the same guide Claude gives everyone. I also copied the exact LinkedIn post that 50 other people on LinkedIn already posted. It doesn’t matter though as LinkedIn will keep suggesting it in the feeds of people who they want to buy ads.ā€ Pls fix @elonmusk @grok ?? Maybe you can buy LI or help them!!? Hey @LinkedIn your algorithm is broken. The platform is becoming a joke. Wasting our time.

    141712.3K viewsView on X
  • Sep 18, 20263.1x their median

    You’re selling clarity. Your website still says ā€œLorem ipsum.ā€ šŸ˜‚ Let’s start there.

    160512.3K viewsView on X
  • Aug 31, 20262.7x their median

    You vibe coded the product over the weekend. Awesome. Now tell me: Who is buying it Monday morning? That question will save a lot of founders a lot of time.

    131501.1K 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

#frenchiecrew#aihumor#curiosity#frenchiemarketingcrew#futureofwork

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 7 interactions against 265K followers, an engagement rate of 0.003%. Measured over 100 original posts, its engagement rate beats 11% of 20,444 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 1.1K times each, and 0.643% of those impressions turn into an interaction. That is about 0.412% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Saturday is the busiest day of the week. Of the 100 posts sampled, 21% carry an image or video. The account's strongest tracked post pulled 52 interactions, about 7.4x its own typical post. Recurring topics include #frenchiecrew, #aihumor, #curiosity.

What is Pam Moore's engagement rate on X?
Pam Moore (@PamMktgNut) has an engagement rate of 0.003%, based on the median interactions across 100 original posts from the last 30 days against 264,639 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Pam Moore sits below the 10th percentile of the 205,475 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 @PamMktgNut have real engagement?
Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter 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 @PamMktgNut post?
Most posts go out around 14:00 UTC, and Saturday is its busiest day, at roughly 3.9 posts per day across the measured window.

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