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Linda Grasso engagement report

@LindaGrass0 - 171K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 20, 2026.

Engagement

Middle of its size range
Per follower
0.055%
of 171K followers
Per impression
4.31%
2.2K views on a typical post
Reach
1.27%
of its followers see a post
Typical post
94
interactions (median)
Saved
0.092%
2 bookmarks on a typical post
Posting rate
0.9/day
active 53% of days
Peak time
14:00 UTC
Monday

A typical post picks up 94 interactions against 171K followers, an engagement rate of 0.055%. Measured over 13 original posts, its engagement rate beats 48% 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 2.2K times each, and 4.31% of those impressions turn into an interaction. That is about 1.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 92% carry an image or video and 15% link out. The account's strongest tracked post pulled 151 interactions, about 1.6x its own typical post.

Measured over 13 original posts from a 30-day window, last computed on October 20, 2026.

Compared with accounts its own size

Linda Grasso's engagement rate beats 48% 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 84% 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 0.055%, Linda Grasso sits above the 25th percentile of the 205,152 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 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 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: 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: 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 video92% of posts+111%+108% to +115%34K
Outbound link15% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 92% 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.
  • 15% 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 227 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 27, 20261.6x their median

    In energy, intelligence should be judged by what it improves, not by how advanced it sounds. The Digital & Intelligent Energy Systems theme at ADIPEC 2026 gets to the point: performance must be proven in real operations. Join > https://t.co/w9vnyE9fl5 @ADIPECOfficial Partner. A model can look impressive in a lab. An engineer has to know whether it can be trusted on an operating asset. That gap between promise and practice is where technical exchange matters. Across 200+ sessions and 1,100+ expert speakers, the ADIPEC Technical Conferences will bring together the people who design, operate and improve energy systems every day. I am most interested in the conversations that examine AI against real-world requirements: reliability, safety, integration and clear human accountability. Only then does intelligence become performance. Energy. Intelligence. Impact. #ADIPEC2026 #ADIPEC #Energy #AI

    80607411K viewsView on X
  • Aug 13, 20261.6x their median

    I believe the quality of an energy conference is reflected in the people willing to bring their decisions, experience and varied perspectives into the same room. ADIPEC 2026 is building exactly that kind of conversation. Join > https://t.co/w9vnyE9fl5 @ADIPECOfficial Partner. What interests me is the mix of leadership behind the agenda. Wael Sawan of Shell, Patrick Pouyanné of TotalEnergies and Meg O’Neill of bp bring the perspective of major energy operators. Christian Bruch of Siemens Energy and Olivier Blum of Schneider Electric add the technology and infrastructure side. For me, this is where the value of ADIPEC 2026 is clear. Energy decisions are increasingly connected to industrial systems, digital capability, capital and long-term resilience. When leaders responsible for different parts of the energy system meet in the same place, the conversation can move closer to decisions with real operational and economic consequences. Energy. Intelligence. Impact. #ADIPEC2026 #ADIPEC #Energy #Leadership

    78627316K viewsView on X
  • Jul 14, 20261.6x their median

    AI is becoming an energy infrastructure question. Data centers, computing demand and power systems are increasingly connected. At AIxEnergy, co-located with Gastech 2026, this convergence is the focus. Register > https://t.co/RBwQKyN7Bf @GastechEvent Partner #Gastech #Energy Artificial intelligence is often discussed as if it were mainly a digital issue. In my view, the more human question is different: what kind of physical infrastructure are we building around AI, and who will benefit from it? AI growth needs energy systems that can support data centers without putting reliability and affordability under unnecessary pressure for businesses and communities. AIxEnergy, co-located with Gastech 2026, brings these two worlds into the same conversation: those building computing infrastructure and those responsible for the energy capacity behind it. If AI is going to scale responsibly, the energy side cannot remain in the background.

    78583624K viewsView on X
  • Aug 18, 20261.5x their median

    Energy infrastructure is now an economic strategy. Rising demand and volatile supply put resilience under pressure. At Gastech 2026 in Bangkok, leaders will discuss how policy and industry can respond. Register > https://t.co/RBwQKyN7Bf @GastechEvent Partner. #Gastech #Energy Resilience used to sound mainly like a technical requirement. Today it reaches much further, into industrial competitiveness and the continuity of services people depend on. One discussion in the Gastech Strategic Conference agenda caught my attention: “Building the energy system backbone: Resilience, flexibility and dispatchable power.” It is a very practical question. Can energy systems keep working under pressure while remaining reliable and economically sustainable? The wider speaker line-up adds another dimension, with H.E. Akanat Promphan, Minister of Energy of Thailand, and Tengku Muhammad Taufik, President & Group CEO of PETRONAS, among the confirmed leaders bringing policy and industry into the same conversation. I believe this matters. Resilient infrastructure ultimately depends on decisions that can move from strategy into real-world implementation.

    785914101K viewsView on X
  • Jul 27, 2026

    An internet outage doesn't just disrupt connectivity—it disrupts business. Payments, cloud apps, customer service and operations can all be disrupted. Learn how @TMobileBusiness is rethinking connectivity resilience > https://t.co/yL8UUj72QQ T-Mobile for Business Partner https://t.co/lk3nV0JDm1

    7858317.7K viewsView on X
  • Aug 18, 2026

    Think a backup internet provider automatically means resilience? Not necessarily. True business continuity depends on independent connectivity paths. Discover how T-Mobile for Business is rethinking connectivity resilience > https://t.co/K7WwFhFgZE @TMobileBusiness Partner https://t.co/P4WxXH6hU5

    7560318.8K viewsView on X
  • Jul 17, 20261.5x their median

    https://t.co/JhLNjXEool

    7855428.0K viewsView on X
  • Sep 25, 2026

    💡 The workplace is evolving faster than ever. The question is: are your skills evolving with it? The most resilient professionals won't necessarily be those who know the most today. They'll be the ones who never stop learning. Follow @LindaGrass0 for more insights 💡 https://t.co/I6I6DSa0Sn

    7641213.3K viewsView on X
  • Aug 28, 2026

    For decades, expertise meant accumulating knowledge, mastering processes, and relying on past experience. But AI is changing the rules. Today, the most valuable professionals aren't those who know the most—they're the ones who can adapt the fastest. Follow @LindaGrass0 for more insights 💡

    7240412.2K viewsView on X
  • Sep 4, 2026

    One of the biggest risks with AI isn't that it's wrong. It's that it can sound absolutely right. The organizations that get the most value from AI won't be those that trust it blindly—they'll be those that know how to challenge it. Follow @LindaGrass0 for more insights 💡 https://t.co/4YuUV80vRP

    6843412.0K 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 94 interactions against 171K followers, an engagement rate of 0.055%. Measured over 13 original posts, its engagement rate beats 48% 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 2.2K times each, and 4.31% of those impressions turn into an interaction. That is about 1.27% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.9 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 92% carry an image or video and 15% link out. The account's strongest tracked post pulled 151 interactions, about 1.6x its own typical post.

What is Linda Grasso's engagement rate on X?
Linda Grasso (@LindaGrass0) has an engagement rate of 0.055%, based on the median interactions across 13 original posts from the last 30 days against 170,987 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.055%, Linda Grasso sits above the 25th percentile of the 205,152 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 @LindaGrass0 have real engagement?
Its engagement rate beats 48% 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 @LindaGrass0 post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 0.9 posts per day across the measured window.

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