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David Payne Purdum engagement report

@DavidPurdum - 90K followers on X

Measured over 29 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.034%
of 90K followers
Per impression
0.217%
14K views on a typical post
Reach
15.9%
of its followers see a post
Typical post
31
interactions (median)
Saved
0.007%
1 bookmarks on a typical post
Posting rate
1.23/day
active 60% of days
Peak time
14:00 UTC
Tuesday

A typical post picks up 31 interactions against 90K followers, an engagement rate of 0.034%. Measured over 29 original posts, its engagement rate beats 33% 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 14K times each, and 0.217% of those impressions turn into an interaction. That is about 15.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 29 posts sampled, 17% carry an image or video, 7% are part of a thread and 38% link out. The account's strongest tracked post pulled 58K interactions, about 1885x its own typical post. Recurring topics include #newyork, #sportsbetting.

Measured over 29 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #newyork, #sportsbetting.

Compared with accounts its own size

David Payne Purdum's engagement rate beats 33% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 11% 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 0.034%, David Payne Purdum sits above the 25th percentile of the 205,475 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 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 Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video17% of posts+111%+108% to +115%34K
Outbound link38% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 17% 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.
  • 38% 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 193 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

  • Jul 2, 20261885x their median

    That was not the definition of a red card.

    54K4.0K1832373.5M viewsView on X
  • Aug 28, 202640x their median

    His parents sent their only son to college. He returned home a gambling addict. with @MerrillLiz https://t.co/Hhhs7cAJJD

    96212174851.0M viewsView on X
  • Jul 9, 202631x their median

    Sportsbook sent a personalized video from Bryce Harper to VIP gambler who had lost $1.5 million. By @Olympezqdbk https://t.co/TXoTRoXuVX

    7835554811.1M viewsView on X
  • Jul 1, 202625x their median

    $33.9 million was bet on table tennis in May with Colorado sportsbooks. https://t.co/9qUIGW3dUs

    672353731323K viewsView on X
  • Sep 4, 202617x their median

    In April, a bettor at a William Hill sportsbook in Nevada placed a $3,000 bet on Rutgers to win the national championship at 500-1 odds. The bet would pay a net $1.5 million. Rutgers lost to UMass tonight.

    430355219182K viewsView on X
  • Aug 28, 202613x their median

    Every time I write a story on the potential consequences of gambling—addiction, athlete harassment, betting scandals—people get upset and make jokes about this article being brought to you by such and such sportsbook (for the 10,000th time). I get it. But wouldn’t it be worse if I didn't write stories about the bad aspects? I’ll keep trying to cover the entire sports betting world, good, bad, ugly, the best I can.

    34517421262K viewsView on X
  • Aug 13, 202613x their median

    Judge to issue arrest warrant for Las Vegas sports betting figure David Oancea aka Vegas Dave By @BrighamNoble https://t.co/wZfSvKoKOE

    278474424294K viewsView on X
  • Aug 13, 20267.3x their median

    Horse trainer Angel Quiroz has been charged with a Presence violation (positive test) for albuterol, a Banned Substance, from a sample collected from the horse Bonita Rough on July 10, 2026 at Fair Hill Training Center, according to the Horseracing Integrity & Welfare Unit. Quiroz trained multiple horses that raced Sunday at Monmouth Park and Saratoga and attracted unusual betting interest. The races are now under investigation.

    14032252990K viewsView on X
  • Aug 14, 20265.3x their median

    NEW: The CFTC has launched a probe into prediction market "mention markets" as a category, where people bet millions on whether President Trump, sportscasters, executives on earning calls say a word or not. Focus of probe is whether this kind of betting is susceptible to manipulation. In response, Kalshi has taken down all mention markets for sports "until further notice" https://t.co/y1MiasMh6p

    94261627108K viewsView on X
  • Aug 12, 20264.6x their median

    5 horse races under investigation amid unusual betting in U.S. and U.K. https://t.co/oAdXqvEt6f

    1042211557K 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

#newyork#sportsbetting

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 31 interactions against 90K followers, an engagement rate of 0.034%. Measured over 29 original posts, its engagement rate beats 33% 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 14K times each, and 0.217% of those impressions turn into an interaction. That is about 15.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 29 posts sampled, 17% carry an image or video, 7% are part of a thread and 38% link out. The account's strongest tracked post pulled 58K interactions, about 1885x its own typical post. Recurring topics include #newyork, #sportsbetting.

What is David Payne Purdum's engagement rate on X?
David Payne Purdum (@DavidPurdum) has an engagement rate of 0.034%, based on the median interactions across 29 original posts from the last 30 days against 90,282 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.034%, David Payne Purdum sits above the 25th 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 @DavidPurdum have real engagement?
Its engagement rate beats 33% 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 @DavidPurdum post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 1.23 posts per day across the measured window.

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