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Helen Yu engagement report

@YuHelenYu - 59K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.052%
of 59K followers
Per impression
2.95%
1.1K views on a typical post
Reach
1.77%
of its followers see a post
Typical post
31
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.6/day
active 37% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 31 interactions against 59K followers, an engagement rate of 0.052%. Measured over 15 original posts, its engagement rate beats 35% of 20,445 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 1.1K times each, and 2.95% of those impressions turn into an interaction. That is about 1.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video, 7% are part of a thread and 80% link out. The account's strongest tracked post pulled 1.5K interactions, about 47x its own typical post. Recurring topics include #dreamforce, #cxospice, #salesforcepartner.

Measured over 15 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #dreamforce, #cxospice, #salesforcepartner.

Compared with accounts its own size

Helen Yu's engagement rate beats 35% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 70% 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 0.052%, Helen Yu sits above the 25th percentile of the 205,374 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 205,374 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 Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link80% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 80% 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 646 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

  • Jun 25, 202647x their median

    We’ve raised $320M at an $11B valuation, led by Addition. AI is changing how companies are built. Teams are smaller, global from day one, and using agents more. We’ve spent 10 years building the financial rails for that world. We’re now building the intelligent layer on top. https://t.co/71AcyjF3KD

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  • Jul 11, 202126x their median

    #books for #Summertime. Pleased to share that my book "Ascend Your Start-Up" hit #3 on @WallStreetJour1 best seller list. Get a copy here and dive into the knowledge I have gathered from over 15 years of hands-on experience: https://t.co/RTvsSsg8md #startups #GrowthHacking #VC https://t.co/a7ZVfCmGxe

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  • May 27, 202611x their median

    https://t.co/Yt6IIkdExd

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  • Aug 5, 20267.7x their median

    Who's watching your AI agents? They don't just log in; they act, on their own, across your systems. Only 24% of orgs can control what their agents do according to @CiscoSecure research. I made a short video on how Cisco SASE closes that gap 👇https://t.co/UNlxwqHQrz @CiscoSecure SASE governs what agents can access, invoke, change, or expose. Networking, security & identity, unified. Learn more about @Cisco SASE: https://t.co/DCIhjgqSgE #CiscoSecurityPartner #CiscoSecure #SASE #AgenticAI #Cybersecurity

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  • Aug 3, 20267.4x their median

    #IBMPartner Are you measuring AI by developer productivity or by business capacity? That's a question more CIOs and CFOs are beginning to ask. Enterprise AI creates value by modernizing legacy systems, reducing risk, preserving institutional knowledge, and expanding business capacity. My conversation with Christina Adames, AI Practice Strategy Lead at @CDWCorp, discussed how @CDWCorp and @IBM are approaching enterprise AI through Bob, not simply as a coding assistant, but as a platform for software modernization. Watch the full CXO Spice conversation: https://t.co/tJsmT3EeCY Learn more about Partner Plus here: https://t.co/r4zL6ZFNXI #EnterpriseAI #AITransformation #CIO #CFO

    21972013K viewsView on X
  • May 15, 20265.9x their median

    What happens when enterprise AI evolves from “systems of record” to “systems of action”? #IBMPartner That’s the real story behind the @IBM + @Google Cloud partnership. At IBM Think, I spoke with Karan Sachdeva about: → WatsonX on Google Cloud Marketplace → OpenShift-enabled AI portability → HashiCorp-powered governance and security → IBM Orchestrate + Gemini integration Enterprises are building operational frameworks for autonomous AI agents. Governance, interoperability, and trust become more important than the models themselves. Watch the full conversation: https://t.co/gmAaHdsXdo #IBMPartner #IBMThink @IBMPartners

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  • May 10, 20265.7x their median

    1 in 3 organizations breached last year. Fewer than 1 in 4 have a password manager. 74% lack complete identity visibility. This is a governance failure. Just published State of Workforce Password Security 2026 with 3,322 responses across 9 regions in collaboration with @Zoho. Identity risk is still not being managed as a core control surface. Full report → https://t.co/UCzEmZgiqS Watch my conversation with Chandramouli Dorai, Chief Evangelist at @Zoho → https://t.co/wc0vLvw8no #CyberSecurity #IdentitySecurity #BoardGovernance #ZohoPartner

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  • Jul 24, 20265.6x their median

    91% of orgs are running AI agents. Only 54% can see what those agents are doing. That gap is happening right now, in agents resetting passwords, touching sensitive data, even deploying production code. @okta's new report breaks down the 5 most common AI agent use cases, where identity risk hides in each one, and a two-layer defense framework to close the gap before it costs you. Get the report👉: https://t.co/B0VHYlpkXz #AIagents #IdentitySecurity #OktaPartner

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  • Jul 23, 20265.4x their median

    What's the best backup internet solution for a small business? It's a question I hear all the time, usually after an outage, when it's already too late. One of the biggest misconceptions I see is that adding a second wired internet connection automatically gives you redundancy. In this short video, I explain why resilience requires thinking differently and why T-Mobile For Business SuperBroadband changes the conversation around business continuity. Watch the video here https://t.co/BCmzCEvfNd And check out SuperBroadband https://t.co/bE3vjnDpIi @TMobileBusiness #SuperBroadband #SmallBusiness #TMobileForBusinessPartner

    15890012K viewsView on X
  • Jul 27, 20265.3x their median

    Business-grade internet or a consumer plan with better branding? Five criteria I use to evaluate any provider: 1. Contract risk 2. Setup speed 3. Total cost 4. Switching friction 5. Business fit @TMobileBusiness is worth a look: https://t.co/VekaRw5Ujt Full breakdown in my latest newsletter: https://t.co/9gcnYlw4yr @TMobileBusiness #TMobileBusinessPartner

    15555012K 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

#dreamforce#cxospice#salesforcepartner#sponsored

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 31 interactions against 59K followers, an engagement rate of 0.052%. Measured over 15 original posts, its engagement rate beats 35% of 20,445 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 1.1K times each, and 2.95% of those impressions turn into an interaction. That is about 1.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video, 7% are part of a thread and 80% link out. The account's strongest tracked post pulled 1.5K interactions, about 47x its own typical post. Recurring topics include #dreamforce, #cxospice, #salesforcepartner.

What is Helen Yu's engagement rate on X?
Helen Yu (@YuHelenYu) has an engagement rate of 0.052%, based on the median interactions across 15 original posts from the last 30 days against 58,754 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.052%, Helen Yu sits above the 25th 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 @YuHelenYu have real engagement?
Its engagement rate beats 35% of the tracked X accounts closest to it in follower count (20,445 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 @YuHelenYu post?
Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 0.6 posts per day across the measured window.

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