MIT Sloan School of Management
Ideas made to matter.
288,714
Followers
1,178
Following
32,388
Tweets
13.3
Avg Engagement
3,823
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MITSloan's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2007-09-07
- Verification:No
- Location:Cambridge, MA
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:9.8
- Avg Retweets per Tweet:3.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains moderate engagement with an average of 135 likes and 42 retweets per tweet.
9.8
Avg Likes/Tweet
3.5
Avg Retweets/Tweet
31,869
Total Likes
11,306
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
16
75th Percentile
521
Top Tweet
0.05
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
94.6%
Original
0.0%
Replies
5.1%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
95.8%
With Links
1.3%
With #Tags
16.4%
With @Mentions
0.4%
With Emojis
132
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 166 retweets (5% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,250 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience likely includes business professionals, managers, and students interested in leadership development.
Average
Audience Quality
29.7%
Suspicion Index
32.4%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.7%
Empty Bio
34.3%
<10 Tweets
15.6%
Mass Following (>2K)
0.0%
New (<90 days)
64.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.3%
No URL
24.1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
47,336,829
Total Potential Reach
26
Median Follower Reach
125
75th Percentile Reach
4.5%
>1K followers
0.6%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.2%
Creators
21,613 accounts
22.4%
Consumers
11,221 accounts
34.3%
Dormant
17,166 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
1,011
Verified Followers
1.01% of total
13,946
Protected Accounts
13.95% of total
6 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,102,292 | Wrestler | Wrestling, Motivation, Self-promotion |
| @rahulkanwal | 4,471,272 | Journalist | News, Director, Anchor |
| @betterpakistan | 2,711,383 | Politician | Politics, Development, SDGs |
| @arsched | 2,147,813 | Journalist | Politics, Journalism, Media |
| @EnriquePenalosa | 2,022,187 | Politician | ciclismo, naturaleza, progreso |
| @Ricamconsult | 1,508,797 | Economista | Economia, Humor, Influência |
| @SinghLions | 1,334,554 | Restaurateur | Food, Travel, Influencer |
| @AyannaPressley | 1,050,583 | Politician | politics, activism, representation |
| @jjmnyika | 1,007,376 | Politician | Politics, Leadership, Government |
| @StartupPro | 981,658 | Entrepreneurship | Entrepreneurship, Technology, Investing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,399
Followers With Bio
37,601
Followers Without Bio
62.4%
% With Bio
37.6%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed1,228
Combined Engagement
938
Total Likes
290
Total Retweets
246
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
10 smart — not soft — skills for leaders: https://t.co/qdHotNeQP0 https://t.co/u8eso9OYGh
10 smart — not soft — skills for leaders: https://t.co/qdHotNeQP0 https://t.co/zYUDKExVeh
10 smart — not soft — skills for leaders: https://t.co/qdHotNwrGy https://t.co/O4t1YlK1V3
“When you start to manipulate the information space, you manipulate human behavior.”https://t.co/xfZY3PFQaQ
“What Netflix did to movie theaters and the media industry, TikTok is doing to Netflix.”https://t.co/w6ShDcSeJZ
Key Insights & Takeaways
The account frequently shares content related to leadership skills and strategic thinking. It emphasizes actionable, 'smart' skills rather than soft skills. The content is highly repetitive, with multiple tweets sharing the same link variations.
Strengths
- + Established follower base of 288,714
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @MITSloan reveals an growing Twitter presence with 288,714 followers. The account demonstrates a content-creator strategy, averaging 13.3 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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