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Frank Luntz engagement report

@FrankLuntz - 403K followers on X

Measured over 44 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.087%
of 403K followers
Per impression
0.703%
50K views on a typical post
Reach
12.3%
of its followers see a post
Typical post
350
interactions (median)
Saved
0.067%
34 bookmarks on a typical post
Posting rate
3/day
active 90% of days
Peak time
17:00 UTC
Monday

A typical post picks up 350 interactions against 403K followers, an engagement rate of 0.087%. Measured over 44 original posts, its engagement rate beats 68% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 50K times each, and 0.703% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 44 posts sampled, 57% carry an image or video, 7% are part of a thread and 61% link out. The account's strongest tracked post pulled 8.3K interactions, about 24x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on September 28, 2026.

Compared with accounts its own size

Frank Luntz's engagement rate beats 68% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 38% 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 0.087%, Frank Luntz sits above the 25th percentile of the 204,880 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video57% of posts+111%+108% to +115%34K
Outbound link61% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 57% 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.
  • 61% 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 280 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

  • Sep 2, 202624x their median

    NEW: Los Angeles Unified now bars all students, up through 12th grade, from accessing gen AI platforms on school-issued devices This was first revealed in a school board committee meeting, and now a district spox has confirmed to me https://t.co/LY5DxyaMI7

    7.3K85638131198K viewsView on X
  • Aug 26, 202615x their median

    .@JellyRoll615 is 100% not welcomed to Florida’s panhandle. I don’t even want to see his bus on I-10. He’s always been the token “country” star the libs in California are allowed to enjoy. (He ain’t country, never was.) Take the TDS elsewhere, loser.

    3.8K4821.0K85345K viewsView on X
  • Sep 26, 20269.5x their median

    For the first time since at least 1982, deaths now outnumber births in reliably Republican counties across America. This demographic shift may already be reshaping US voting patterns. https://t.co/K5QK3bxanK https://t.co/kceiPNZ3zI

    2.3K659182131204K viewsView on X
  • Aug 31, 20267.2x their median

    In Sterling Heights, Vice President @JDVance says it's a "scandal" that less than half of the students at the University of Michigan are from Michigan. "If you're the mother of a child who's applied at the University of Michigan and you know his SAT score or her SAT score was 200 points higher than the foreign national who got in above them, Mike Rogers is going to fight for you, not Abdul El-Sayed."

    2.1K20811244236K viewsView on X
  • Aug 23, 20266.3x their median

    The odd thing about @AbdulElSayed’s tweet is that he chose to highlight Trump saying something that’s actually 100% correct. During the primaries, El-Sayed campaigned alongside @HasanTheHun, who is an open fan of Mao Zedong and said in 2019 that “America deserved 9/11.” https://t.co/J78t24NVm6

    1.8K30584881K viewsView on X
  • Jul 9, 20255.6x their median

    Markets aren’t spooked by tariff talk anymore. Wall Street sees Trump’s push for 10% reciprocal tariffs as smart policy—not a threat. Stability in the markets signals growing confidence that the U.S. will extract better trade terms as deals get done. https://t.co/buOEV7nGUu

    1.7K17455594K viewsView on X
  • Sep 19, 20265.3x their median

    “We’re not just talking about the Democratic base anymore… The general electorate has turned against Israel.” @ForecasterEnten shows how Americans’ net favorability of Israel has shifted 67 points — from +51 positive in 2018 to -16 negative now. https://t.co/KQvYLTG7PR

    1.3K25826768300K viewsView on X
  • Sep 7, 20265.3x their median

    The average price of gas is $4.15 a gallon today. ⛽️ The previous record-high price on Labor Day was $3.82 in 2012. https://t.co/1ubj44uFTI

    1.1K43822347239K viewsView on X
  • Sep 22, 20264.6x their median

    More than ¾ of Americans (76%) say the war against Iran has not been worth it. The 2026 elections will be about affordability, and voters see the Iran war as making it worse. I joined @Boris_Sanchez and @BriKeilarCNN to discuss how that will affect Republicans' midterm chances.

    1.3K2121291050K viewsView on X
  • Aug 16, 20264.5x their median

    More Americans are delinquent on their credit card payments now than at any other point since the Great Recession. About 13% of all credit card balances are currently overdue by 90 days or more. https://t.co/ojN54yLp6p

    98940412764173K 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 350 interactions against 403K followers, an engagement rate of 0.087%. Measured over 44 original posts, its engagement rate beats 68% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 50K times each, and 0.703% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 44 posts sampled, 57% carry an image or video, 7% are part of a thread and 61% link out. The account's strongest tracked post pulled 8.3K interactions, about 24x its own typical post.

What is Frank Luntz's engagement rate on X?
Frank Luntz (@FrankLuntz) has an engagement rate of 0.087%, based on the median interactions across 44 original posts from the last 30 days against 402,762 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.087%, Frank Luntz sits above the 25th percentile of the 204,880 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 @FrankLuntz have real engagement?
Its engagement rate beats 68% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @FrankLuntz post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 3 posts per day across the measured window.

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