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Marc Benioff engagement report

@Benioff - 5.8M followers on X

Measured over 12 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 5.8M followers
Per impression
0.166%
165K views on a typical post
Reach
2.85%
of its followers see a post
Typical post
274
interactions (median)
Saved
0.014%
24 bookmarks on a typical post
Posting rate
1.23/day
active 40% of days
Peak time
06:00 UTC
Thursday

A typical post picks up 274 interactions against 5.8M followers, an engagement rate of 0.005%. Measured over 12 original posts, its engagement rate beats 35% of 3,774 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 165K times each, and 0.166% of those impressions turn into an interaction. That is about 2.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 06:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 67% carry an image or video, 8% are part of a thread and 33% link out. The account's strongest tracked post pulled 88K interactions, about 320x its own typical post.

Measured over 12 original posts from a 30-day window, last computed on August 31, 2026. Recurring tag: #df26.

Compared with accounts its own size

Marc Benioff's engagement rate beats 35% of the tracked X accounts closest to it in follower count (3,774 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 16% 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 0.005%, Marc Benioff sits above the 10th percentile of the 36,521 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,521 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,166 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 percentile0.012%
50th percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.7%

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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 3, 2026320x their median

    bets still on the table America, yet. https://t.co/Ap5Cw3EKRV

    75K7.6K3.4K1.6K15M viewsView on X
  • Aug 27, 202642x their median

    Welcome Claudeforce. ❤️ https://t.co/rk0M1cFhCG

    9.7K6984065673.4M viewsView on X
  • Aug 20, 202620x their median

    Don’t code alone. Slack Code is live. Humans and agents. Same channel. Same work. Launching today with agents from @AnthropicAI, @github, @Cognition, and @vercel. This is real multiplayer coding. See it at @Dreamforce #DF26 https://t.co/scVeLgIgZR

    4.3K4033034482.3M viewsView on X
  • Jun 30, 202612x their median

    Narrative violation: A new study of 21,559 firms in the U.S. finds that “companies that adopt AI tend to grow faster following adoption”. “Firms making the largest AI investments grow employment by roughly 10% following adoption, while low-intensity adopters see no statistically significant change.” “Entry-level headcount rises 12% for high-intensity adopters.” “Gains emerge gradually and are broad across roles, including engineering, sales, administration, and customer service.” “The results counter predictions that AI adoption will lead to broad job loss.” The study is based on observed AI spending from Ramp card and bill pay data linked to Revelio Labs workforce records.

    2.6K404173105579K viewsView on X
  • Aug 26, 202611x their median

    Claudeforce is here. ⚡️ The #1 AI (Claude) now runs natively on the #1 CRM (Salesforce). Through the new AIforce harness + Headless 360, Claude gets direct, governed access to Data 360, Tableau, Slack, and your entire Salesforce workflow—without ever leaving the chat. What this changes today: • Instant Grounded Intelligence — Ask complex enterprise questions and get real-time, trusted answers • App & Agent Builder — Deploy custom workflows, agents, and secure apps on the fly • Action-Oriented — Trigger live enterprise actions and get work done, not just summaries • Ironclad Governance — Zero Data Retention, full trust boundary, Salesforce-certified by default Probabilistic models alone can’t run a company. Deterministic systems alone can’t reason. Claudeforce fuses Claude’s reasoning with Salesforce’s trusted data and controls. The AI is the interface. This is how every business will run. See it at Dreamforce. #DF26

    2.3K300147158673K viewsView on X
  • Jul 8, 20266.3x their median

    “Today, connectivity is no longer the end goal. We are now transitioning to the era of data-driven growth. Artificial intelligence is the common denominator that will redefine healthcare, education and energy, among many other sectors. As a commission, our mission is to ensure this transformation does not widen existing divisions. The task ahead of us is urgent, but we will face challenges. The objective isn’t just to have a conversation. It is to ensure everything we agree to do, gets translated into tangible and practical outcomes.” President Kagame President Kagame joined fellow Co-Chair Marc Benioff and Vice-Chair Doreen Bogdan-Martin for a fireside chat marking the launch of the AI for Good Global Commission. He then chaired the Commission’s inaugural meeting alongside Marc Benioff and Doreen Bogdan-Martin. The high-level initiative brings together 44 commissioners to identify practical ways to harness artificial intelligence to address some of the world’s most pressing challenges.

    1.2K53731471K viewsView on X
  • Jul 23, 20266.2x their median

    What most impresses me about Anthropic (besides unprecedented revenue growth) is their enterprise hat trick: the best model (Claude), the best coding agents (Claude Code), & the best productivity tool (Cowork). Salesforce is proud to be an early investor, customer, and partner. https://t.co/PE1DIGTOnN

    1.4K12213640965K viewsView on X
  • Jun 23, 20265.7x their median

    Claude Tag is live. Tag @ClaudeAI in any channel. It reads the thread, does the work, and posts back where everyone can see it. Your question becomes the team's answer. Only in Slack. https://t.co/gS8ljewGKG

    1.4K1065530180K viewsView on X
  • Mar 4, 20246.0x their median

    AI's true gold isn't in the UI or model—they're both commodities. What breathes life into AI is the data & metadata that describes the data to the model—just like oxygen for us. The future's fortune lies in our data. Yes, Data is the new gold! 💖

    92013560382.0M viewsView on X
  • Jun 26, 20263.2x their median

    Just heartbroken to hear of the passing of the incredible Om Malik. @Om was always a pioneer, a deep thinker, and a truly original voice who shaped the soul of Silicon Valley. Om’s curiosity and integrity challenged us all to be better. My thoughts are with his family and loved ones. May the One who brings Peace bring Peace to all.

    77964348109K 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

#df26

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 274 interactions against 5.8M followers, an engagement rate of 0.005%. Measured over 12 original posts, its engagement rate beats 35% of 3,774 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 165K times each, and 0.166% of those impressions turn into an interaction. That is about 2.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 06:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 67% carry an image or video, 8% are part of a thread and 33% link out. The account's strongest tracked post pulled 88K interactions, about 320x its own typical post.

What is Marc Benioff's engagement rate on X?
Marc Benioff (@Benioff) has an engagement rate of 0.005%, based on the median interactions across 12 original posts from the last 30 days against 5,818,118 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, Marc Benioff sits above the 10th percentile of the 36,521 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 @Benioff have real engagement?
Its engagement rate beats 35% of the tracked X accounts closest to it in follower count (3,774 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 @Benioff post?
Most posts go out around 06:00 UTC, and Thursday is its busiest day, at roughly 1.23 posts per day across the measured window.

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