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Ryan Saavedra engagement report

@RyanSaavedra - 372K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.074%
of 372K followers
Per impression
0.618%
44K views on a typical post
Reach
12.0%
of its followers see a post
Typical post
275
interactions (median)
Saved
0.034%
15 bookmarks on a typical post
Posting rate
2.07/day
active 30% of days
Peak time
19:00 UTC
Friday

A typical post picks up 275 interactions against 372K followers, an engagement rate of 0.074%. Measured over 8 original posts, its engagement rate beats 48% of 4,310 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 44K times each, and 0.618% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video and 50% link out. The account's strongest tracked post pulled 7.7K interactions, about 28x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Ryan Saavedra's engagement rate beats 48% of the tracked X accounts closest to it in follower count (4,310 accounts, accounts of similar size (decile 6 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 30% 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 0.074%, Ryan Saavedra sits above the 25th percentile of the 41,681 accounts in this comparison. That places it in the below the median band, which runs 0.013% to 0.083%.

p100.002%
p250.013%
p50 (median)0.083%
p750.447%
p902.07%
p99143.4%
Engagement rate as a share of followers, across the 41,681 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 89,603 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 percentile0.002%
25th percentile0.013%
50th percentile0.083%
75th percentile0.447%
90th percentile2.07%
99th percentile143.4%

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 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%58K
01:00 UTC-2%59K
02:00 UTC-3%58K
03:00 UTC-4%62K
04:00 UTC-6%50K
05:00 UTC-5%48K
06:00 UTC-5%56K
07:00 UTC-4%60K
08:00 UTC-4%70K
09:00 UTC-4%81K
10:00 UTC-3%83K
11:00 UTC-3%91K
12:00 UTC-2%100K
13:00 UTC-2%109K
14:00 UTC-3%112K
15:00 UTC-2%116K
16:00 UTC-4%113K
17:00 UTC-3%105K
18:00 UTC-2%98K
19:00 UTC-2%92K
20:00 UTC-1%86K
21:00 UTC-1%76K
22:00 UTC-2%66K
23:00 UTC-1%59K
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 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%255K
Monday+1%328K
Tuesday-2%353K
Wednesday-4%317K
Thursday-2%269K
Friday-3%276K
Saturday+3%249K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Apr 23, 202628x their median

    It takes a truly sick individual to bring an illegal alien squatter like Milo Yiannopoulos into their home and around their children, but that is exactly what Candace Owens @RealCandaceO is doing just to manufacture fake smears against me and other real conservatives! While Milo was illegally squatting in a foreclosed house, he spun up a sob story claiming his rare, expensive designer cat had mysteriously gone missing. In reality, I was told by people close to the situation that he allegedly sold the poor animal for over a thousand dollars just to fund his documented drug use while he was squatting in Dov Charney’s home in Los Angeles, according to court records. Now, Milo is facing deportation proceedings according to a source of mine familiar with his immigration issues. What kind of soulless, heartless monster sells a helpless, innocent pet just to get high? It is completely inhumane and demonic, yet this is the exact type of degenerate Candace proudly allies herself with!

    6.2K1.0K439371.6M viewsView on X
  • Aug 29, 20268.1x their median

    Is Rob Bonta the next Eric Swalwell? California Attorney General Rob Bonta is intertwined in a corruption investigation and has spent $470,000 in campaign cash to navigate the FBI investigation into the bribery and corruption scandal. Reportedly, a defendant in the bribery and corruption case surrounding former Oakland Mayor Sheng Thao has a “compromising” video of Attorney General Rob Bonta and now Bonta has spent almost half a million dollars to prevent that video from getting out.

    1.5K588663194K viewsView on X
  • Aug 29, 20267.5x their median

    CAIR blamed 9/11 on US support for Israel, recommended bin Laden's writings in back-to-school guide: 'Evil propaganda' https://t.co/3uP5jndrum https://t.co/w4CNywHxhn

    1.5K4529663160K viewsView on X
  • Aug 28, 20264.4x their median

    A former CIA analyst was sentenced to three years in prison for leaking classified information online in October 2024. Asif William Rahman joined the Central Intelligence Agency in 2016 after graduating from Yale University and was assigned to an office inside the US embassy in Phnom Penh, Cambodia at the time of the leak. On October 17th, 2024, Rahman printed two top-secret classified documents related to planned air strikes on targets in Iran by the Israeli Air Force. The strikes were in retaliation for a missile barrage launched by Iran against Israel on October 1st. According to the New York Post, the documents originated with the National Geospatial Intelligence Agency and included satellite imagery of Israeli air bases taken on October 15th and 16th, plus the types of missiles to be used, based on the observed movement of munitions carts on the air bases. He smuggled the documents out of the embassy in his backpack, photographed them, and sent them to several individuals online. The following day, the images were broadcast on the Telegram app by an account named Middle East Spectator. They quickly spread online, causing Israel to delay the planned strikes until October 26th. Prior to October 17th he also printed and photographed at least 15 other classified documents on several occasions beginning in the spring of 2024. According to the Washington Post, Rahman deleted 1.5 gigabytes of data from his workstation after printing the documents and then destroyed a smartphone and router used to transmit the documents. He had also downloaded and retained other classified documents related to the Middle East even after losing access to them. Rahman was arrested in Cambodia by the FBI in November 2024 and pleaded guilty to two charges related to espionage in January 2025. Although he faced between 6.5 and 20 years in prison, he was sentenced to just 37 months of incarceration in June 2025, based partly on cooperation with investigators and prosecutors.

    89515111061627K viewsView on X
  • Sep 1, 20261.9x their median

    Florida sickos kept 4 kids in 'rolling dungeon' semi-truck where they were sexually abused for 6 years: authorities https://t.co/lGwLVAjVCE https://t.co/TrMKQv9SiR

    321113613534K viewsView on X
  • Aug 28, 2026

    Republicans need to talk about Sharia law at the convention in light of Abdul El-Sayed's remarks. It's dangerous.https://t.co/0ZaMirsmkI

    133404.5K viewsView on X
  • Aug 31, 2026

    Thank You, President Trump @POTUS and Administrator Zeldin @epaleezeldin for Providing Relief to Small Refineries   These exemptions recognize the disproportionate economic hardship that RFS compliance obligations impose on the nation's small refineries and provide meaningful, timely relief to facilities that supply fuel and support jobs across the country.

    851155K viewsView on X
  • Aug 28, 2026

    Would be surprised if the U.S. resumes military operations against Iran before the midterms, unless Iran does something stupid. https://t.co/T5illlbZSq

    61318.9K viewsView on X
  • Sep 1, 2026

    Connections to communist China deserve serious scrutiny and could endanger the U.S. air traffic system. Thales and Indra maintain extensive relationships within China's aviation and air traffic ecosystem. Before either is entrusted with America's system, DOT, the FAA, and the public should understand the cybersecurity, supply-chain, and technology-security implications of those relationships. https://t.co/EWMS0K2JSf

    42101.8K 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 275 interactions against 372K followers, an engagement rate of 0.074%. Measured over 8 original posts, its engagement rate beats 48% of 4,310 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 44K times each, and 0.618% of those impressions turn into an interaction. That is about 12.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video and 50% link out. The account's strongest tracked post pulled 7.7K interactions, about 28x its own typical post.

What is Ryan Saavedra's engagement rate on X?
Ryan Saavedra (@RyanSaavedra) has an engagement rate of 0.074%, based on the median interactions across 8 original posts from the last 30 days against 371,672 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.074%, Ryan Saavedra sits above the 25th percentile of the 41,681 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 @RyanSaavedra have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (4,310 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 @RyanSaavedra post?
Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 2.07 posts per day across the measured window.

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