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Silvina Escudero engagement report

@silvinaescudero - 758K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Per follower
0.05%
of 758K followers
Per impression
0.364%
103K views on a typical post
Reach
13.6%
of its followers see a post
Typical post
376
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.33/day
active 23% of days
Peak time
11:00 UTC
Monday

Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 376 interactions against 758K followers, an engagement rate of 0.05%. Posts are seen about 103K times each, and 0.364% of those impressions turn into an interaction. That is about 13.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 86% carry an image or video, 14% are part of a thread and 71% link out. The account's strongest tracked post pulled 9.0K interactions, about 33x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 7 original posts from a 30-day window, last computed on September 29, 2026. Recurring tag: #pump.

Where this sits in the catalog

At 0.05%, Silvina Escudero sits above the 25th percentile of the 204,694 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 video86% of posts+111%+108% to +115%34K
Outbound link71% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 86% 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.
  • 71% 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 464 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

  • May 13, 202633x their median

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    1.6K1.5K5.8K100746K viewsView on X
  • Jun 12, 20262.1x their median

    Prediction markets exceeds 2B in volume just for this World Cup. From people who knew one thing β€” a team, a trend, a trade β€” and backed themselves. You know something too. That is all it takes. Join #ZOOMEXWorldCup | https://t.co/KLo8rAwNDC | 5,000 USDT in rewards for new users. Crypto. Sports. Macro events. Every market is open. Every game is a chance to turn what you know into a winning call. #WorldCup2026 #Zoomex

    26520730110403K viewsView on X
  • Sep 26, 2026

    🚨 Something just changed for $CGX. The 25 Sept, 20:00 UTC holder snapshot is now locked in, putting the waiting phase in the rear-view mirror. ⏳➑️πŸ”₯ From here, the focus shifts to the catalysts ahead: ⚑️ BTC liquidity entering the picture 🀝 Robinhood listing + partnership πŸ’° A $1M campaign targeting 20M+ Robinhood investors, active users & Gold subscribers And the roadmap is ambitious: 🎯 $100M market cap as the first checkpoint πŸš€ $1B target by September 30 The snapshot is behind it. Now comes the part worth watching. πŸ‘€ πŸ“Š Track $CGX on DEX: https://t.co/LRQOTreinN 🌐 https://t.co/s49zKpixUl πŸ“² https://t.co/ciu5JkMrVp The next chapter for $CGX is underway. 🧨 #CGX #Crypto #BTC #Robinhood #Altcoins

    4644845090K viewsView on X
  • Sep 27, 2026

    The party has begun. #pump.fun CA:47qRwUwJvxgci42gDGKpMPgus88oT8xmyBtjMZA7pump

    28510228028K viewsView on X
  • May 30, 2026

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    205107831865K viewsView on X
  • Sep 23, 2026

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    336543074K viewsView on X
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    Found something interesting this time β€” solana:pceM9amR3UJrSQHPnUraies6B1ZrynZcK51oKCEHYwM on BNB Chain. 🐸🟑 Still super early, but the fundamentals caught my attention: fixed supply, LP burned, ownership renounced. No games, just real groundwork. Remember when $PEPE was still under the radar before everyone knew the name? This feels like that moment. solana:pceM9amR3UJrSQHPnUraies6B1ZrynZcK51oKCEHYwM β€” The Yellow Storm. Worth keeping an eye on. CA: 0x3dB1B406a4d50a841948765685ed42ed1f174444 🌐 https://t.co/6v5LbeCghq | πŸ“’ https://t.co/Iq4a4MtxjG

    33212311105K viewsView on X
  • Aug 28, 2026

    🧠 AI is no longer a one-player game. Money is rotating out of chips and into energy, infrastructure and applications. AMD has climbed nearly 4Γ—, while Palantir’s revenue is up 93%. The shift across the AI market is realβ€”and the opportunity is becoming much broader than semiconductors alone. With more than 500 TradFi assets available, BingX is the first platform I think of when a major market theme starts moving. Trade the AI rotation through AMD on BingX: https://t.co/dt9N8vBWrP #BingX #TradFi

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  • Sep 17, 2026

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    2944351103K viewsView on X
  • Sep 7, 2026

    Everyone wants to find the next big thing before it becomes obvious. $LOOKSMAX has something most projects spend months trying to create: an actual community. Follow @LooksmaxMe. https://t.co/oqfKy6sPaC

    27817270107K 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

#pump

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 376 interactions against 758K followers, an engagement rate of 0.05%. Posts are seen about 103K times each, and 0.364% of those impressions turn into an interaction. That is about 13.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 7 posts sampled, 86% carry an image or video, 14% are part of a thread and 71% link out. The account's strongest tracked post pulled 9.0K interactions, about 33x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Silvina Escudero's engagement rate on X?
Silvina Escudero (@silvinaescudero) has an engagement rate of 0.05%, based on the median interactions across 7 original posts from the last 30 days against 758,114 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.05%, Silvina Escudero sits above the 25th percentile of the 204,694 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 @silvinaescudero have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @silvinaescudero post?
Most posts go out around 11:00 UTC, and Monday is its busiest day, at roughly 0.33 posts per day across the measured window.

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