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Wendy Rogers engagement report

@WendyRogersAZ - 418K followers on X

Measured over 71 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Top quarter for its size
Per follower
0.254%
of 418K followers
Per impression
2.91%
36K views on a typical post
Reach
8.73%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.049%
18 bookmarks on a typical post
Posting rate
8.6/day
active 50% of days
Peak time
15:00 UTC
Friday

A typical post picks up 1.1K interactions against 418K followers, an engagement rate of 0.254%. Measured over 71 original posts, its engagement rate beats 84% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 36K times each, and 2.91% of those impressions turn into an interaction. That is about 8.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 8.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 71 posts sampled, 76% carry an image or video and 24% link out. The account's strongest tracked post pulled 138K interactions, about 130x its own typical post. Recurring topics include #azwx, #cartelkatie, #fakelawyermayes.

Measured over 71 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #azwx, #cartelkatie, #fakelawyermayes.

Compared with accounts its own size

Wendy Rogers's engagement rate beats 84% 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 77% 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 0.254%, Wendy Rogers sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 15:00 UTC, and Friday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video76% of posts+111%+108% to +115%34K
Outbound link24% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 76% 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.
  • 24% 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 285 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

  • Aug 27, 2026130x their median

    🚨BREAKING: Ceuta locals are now tracking down and BLOCKING vehicles belonging to the Red Cross NGO, in order to halt their operations across the enclave This is unprecedented. They are warning the Red Cross to leave immediately. An uprising has begun in Ceuta. šŸ‡ŖšŸ‡ø https://t.co/vVw6dIm1Rk

    111K23K2.5K1.2K2.2M viewsView on X
  • Sep 6, 202685x their median

    Absolute banger from POTUS Check out the last one šŸ˜‚šŸ¤£ I’m crying 🤣🤣🤣 https://t.co/VEhzrlkzL2

    76K14K8663831.6M viewsView on X
  • Sep 25, 202664x their median

    What really happened after the State Dinner. The lost Xi camera roll has been found. https://t.co/gNizhiCHG2

    52K11K2.9K2.4K2.6M viewsView on X
  • Sep 25, 202657x their median

    JUST IN: The Supreme Court has given the Trump administration the green light to use a federal citizenship database to verify voters ahead of the midterm elections. https://t.co/FGbvhH1u9A

    52K4.7K3.0K7373.8M viewsView on X
  • Sep 6, 202632x their median

    Lo que ha pasado en UK es que todo el mundo se ha dado cuenta de que la invasión estÔ planificada entre la policía francesa y la inglesa. Estaban esperando a los barcos con un despliegue gigante de tiendas de campaña y autobuses de lujo. Y los ciudadanos de portsmouth se ha tirado a la playa a proteger su ciudad. https://t.co/N3QzLTxWO1

    26K7.6K300170428K viewsView on X
  • Sep 25, 202631x their median

    This almost feels like it lined itself up. Maria Bartiromo. Nick Shirley. X News. One veteran anchor who knows how to run a serious broadcast. One independent journalist who actually gets out there and finds the story. Put them together on a black-and-white X News set and tell me that doesn’t make perfect sense. No stale cable-news routine. No pretending people still want the same old garbage. This needs to happen. Somebody make the call, @elonmusk.

    26K5.7K1.0K314339K viewsView on X
  • Sep 25, 202627x their median

    States with higher ICE illegal immigrant deportations are seeing the largest rent decreases, according to DHS.

    25K2.5K5256522.0M viewsView on X
  • Aug 28, 202618x their median

    🚨 HOLY CRAP! In a massive scandal, the Federal Reserve has quietly admitted that Biden's illegal alien invasion SURGED home prices by +30%, directly harming US citizens' affordability This comes as President Trump has BLOCKED taxpayer mortgages and housing assistance to illegals THE BETRAYAL OF OUR LIFETIMES!! +30% in home prices?! The media should be talking about this 24/7!

    12K6.5K268230186K viewsView on X
  • Aug 28, 202617x their median

    They’re cleaning and regrouting the granite at the White House North Entrance... for the first time in 63 years. That’s the standard. Fix what’s been neglected. Make it look like America again. President Trump: ā€œPerfect work.ā€ https://t.co/2xphN9vZ3O

    15K2.3K48360152K viewsView on X
  • Sep 25, 202616x their median

    Ladies, if he is: āœ… Built like a refrigerator āœ… Living in a waterfront home āœ… Always fishing with the boys āœ… Willing to ghost you for months āœ… Still somehow extremely desirable He’s not your man, he’s a Fat Bear Week contender.

    15K1.2K9899378K 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

#azwx#cartelkatie#fakelawyermayes#fritobanditofontes#goarmy

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 1.1K interactions against 418K followers, an engagement rate of 0.254%. Measured over 71 original posts, its engagement rate beats 84% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 36K times each, and 2.91% of those impressions turn into an interaction. That is about 8.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 8.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 71 posts sampled, 76% carry an image or video and 24% link out. The account's strongest tracked post pulled 138K interactions, about 130x its own typical post. Recurring topics include #azwx, #cartelkatie, #fakelawyermayes.

What is Wendy Rogers's engagement rate on X?
Wendy Rogers (@WendyRogersAZ) has an engagement rate of 0.254%, based on the median interactions across 71 original posts from the last 30 days against 417,604 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.254%, Wendy Rogers sits above the 50th percentile of the 205,374 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 @WendyRogersAZ have real engagement?
Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 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 @WendyRogersAZ post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 8.6 posts per day across the measured window.

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