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Wayne Dunlap engagement report

@wdunlap - 258K followers on X

Measured over 76 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Middle of its size range
Per follower
0.122%
of 258K followers
Per impression
11.5%
2.7K views on a typical post
Reach
1.06%
of its followers see a post
Typical post
315
interactions (median)
Saved
0.311%
8 bookmarks on a typical post
Posting rate
4.07/day
active 40% of days
Peak time
19:00 UTC
Monday

A typical post picks up 315 interactions against 258K followers, an engagement rate of 0.122%. Measured over 76 original posts, its engagement rate beats 63% 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 2.7K times each, and 11.5% of those impressions turn into an interaction. That is about 1.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 76 posts sampled, 96% carry an image or video, 43% are part of a thread and 14% link out. The account's strongest tracked post pulled 16K interactions, about 51x its own typical post. Recurring topics include #travel, #beach, #islands.

Measured over 76 original posts from a 30-day window, last computed on September 25, 2026. Recurring tags: #travel, #beach, #islands.

Compared with accounts its own size

Wayne Dunlap's engagement rate beats 63% 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 98% 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 0.122%, Wayne Dunlap sits above the 25th percentile of the 204,798 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 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 19:00 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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 video96% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 96% 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.
  • 14% 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 205 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 4, 202651x their median

    Genetically Modified Ketchup: Heinz Ketchup just got the “Contains Bioengineered Food Ingredients” label. Your family’s trusted BBQ and burger staple is now officially Frankenstein food. It is mostly GMO high fructose corn syrup (92%+ of U.S. corn is bioengineered) + sugars from bioengineered sugarcane and sugar beets that spike blood sugar, fuel inflammation, and mess with hormones & gut health. Plus a non-disclosed secret proprietary blend of 'natural flavors' that is kept from public knowledge. You thought you were just squeezing tomatoes… but you’re feeding your kids ultra-processed junk while the brand keeps the same nostalgic red bottle. Ditch it. Make your own in 5 minutes. Quick Homemade Ketchup (no HFCS, no GMOs): • 1 small jar (6 oz) tomato paste • ⅓ cup apple cider vinegar • 2–3 Tbsp maple syrup or honey (to taste) • 1 tsp salt • ½ tsp onion powder • ½ tsp garlic powder • ¼ tsp mustard powder • Pinch black pepper + optional cayenne Mix until smooth. Stores in fridge for weeks and tastes way better. Throw out the Heinz. Make homemade instead.

    10K5.3K386323268K viewsView on X
  • Sep 7, 202637x their median

    And now you know why the homeowners never got their aid raised for them, why California made it nearly impossible to rebuild, and LA was unprepared for fires... https://t.co/HiuL8Mhojq

    6.0K3.8K1.5K527149K viewsView on X
  • Sep 4, 202623x their median

    Kimberly Overton, RN: "Patients did NOT die of COVID. They were KILLED by hospital protocols — REMDESIVIR, VENTILATORS, and the denial of life-saving treatments. Ventilators are the new GAS CHAMBERS." "I worked ICU during the pandemic... I could not watch one more of my patients needlessly die due to DEADLY hospital protocols." "It wasn't COVID that was killing patients, it was the complete medical mismanagement of COVID. The Remdesivir, ventilator, death." "The only place anybody was dying was in our hospitals... because they were dying of the treatments." She worked the ICU. She watched it happen over and over. “Ventilators are the new gas chambers.” No bodies in the streets. No piles outside homes. The dying happened behind hospital doors — under official “protocols.” This wasn’t a virus. This was PROTOCOL MURDER. They silenced the nurses who tried to stop it and they punished the doctors who refused to follow the kill sheet... and the bodies just kept coming.

    4.7K2.3K15610957K viewsView on X
  • Sep 19, 202619x their median

    Should someone tell him?... Democrats put Blacks in the Cotton Fields, Republicans freed them! https://t.co/RuZ5Zi6TDW

    2.7K1.2K1.9K21840K viewsView on X
  • Sep 21, 202614x their median

    California has gone CRAZY! California Democrats just voted to hand illegal immigrants up to $150,000 each in zero-interest home loans — while legal citizens struggle to afford a house. The bill now heads to the Assembly where Newsom's supermajority is expected to pass it and send it to his desk. Will he sign it?

    1.7K1.4K1.0K26164K viewsView on X
  • Sep 24, 202613x their median

    Yes or No? https://t.co/9xSBwcXQ6f

    1.7K1332.1K10943K viewsView on X
  • Sep 18, 202611x their median

    Is this really what you want in America? https://t.co/96kBd2LYyd

    5786201.9K20840K viewsView on X
  • Sep 18, 20268.9x their median

    Your thought for today... https://t.co/slZ8jrNcCP

    1.7K7762325013K viewsView on X
  • Sep 18, 20266.8x their median

    Is there a Pattern here? https://t.co/TGVwMlBL0Y

    1.3K73183268.9K viewsView on X
  • Sep 24, 20266.1x their median

    Your thought for today... https://t.co/SfSeFVvFZv

    1.1K616172219.6K 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

#travel#beach#islands#3dayweekend#angkorwat

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 315 interactions against 258K followers, an engagement rate of 0.122%. Measured over 76 original posts, its engagement rate beats 63% 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 2.7K times each, and 11.5% of those impressions turn into an interaction. That is about 1.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 76 posts sampled, 96% carry an image or video, 43% are part of a thread and 14% link out. The account's strongest tracked post pulled 16K interactions, about 51x its own typical post. Recurring topics include #travel, #beach, #islands.

What is Wayne Dunlap's engagement rate on X?
Wayne Dunlap (@wdunlap) has an engagement rate of 0.122%, based on the median interactions across 76 original posts from the last 30 days against 257,915 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.122%, Wayne Dunlap sits above the 25th percentile of the 204,798 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 @wdunlap have real engagement?
Its engagement rate beats 63% 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 @wdunlap post?
Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 4.07 posts per day across the measured window.

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