Ben Thompson
Author/Founder of @stratechery. Host of @ditheringfm @sharptechpod. @notechben for sports. @monkbent on other networks. Home on the Internet.
234,799
Followers
1,625
Following
71,946
Tweets
93.2
Avg Engagement
6,048
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @benthompson'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:2006-12-04
- Verification:No
- Location:Taipei, Taiwan
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:70.3
- Avg Retweets per Tweet:22.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsHis tweets typically receive high likes and retweets, indicating strong audience interaction. The engagement suggests a loyal and active community interested in his insights.
70.3
Avg Likes/Tweet
22.8
Avg Retweets/Tweet
228,413
Total Likes
74,111
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
12
75th Percentile
71,168
Top Tweet
0.4
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.4%
Original
73.2%
Replies
18.2%
Retweets
3.2%
Quotes
0.0%
Threads
0.3%
With Media
27.1%
With Links
0.2%
With #Tags
88.6%
With @Mentions
4.3%
With Emojis
99
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
13.58
Reply/Original Ratio
0.17
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
90.5%
Weekday Posts
9.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 592 retweets (18% 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 3,247 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 followersThompson's audience includes tech professionals, business leaders, and media enthusiasts. His content appeals to those interested in strategic thinking and historical parallels.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.2%
No URL
100.0%
<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.
66,531,128
Total Potential Reach
54
Median Follower Reach
235
75th Percentile Reach
9.0%
>1K followers
1.4%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
50,000 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):
4,265
Verified Followers
2.03% of total
23,477
Protected Accounts
11.18% of total
10 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 |
|---|---|---|---|
| @Meta | 13,836,027 | Tech Entrepreneur | Gaming, Metaverse, Social Connection |
| @MrBeast | 12,848,539 | YouTuber | Philanthropy, YouTube, Charity |
| @jack | 6,100,115 | Cryptocurrency Trader | bitcoin, chill, #nostr |
| @BillSimmons | 5,676,226 | Sports commentator | Sports, Podcasting, Music |
| @sundarpichai | 4,139,899 | CEO | Technology, Innovation, Leadership |
| @verified | 3,726,262 | - | - |
| @NateSilver538 | 3,581,066 | Statistician | Sports, Politics, Food |
| @Xiaomi | 3,452,923 | Technology | Smartphones, Technology, Cinemagic |
| @MCHammer | 3,239,776 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @VitalikButerin | 3,016,652 | Cryptocurrency Developer | Ethereum, Dragon Tyrant, Abolition |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
141,631
Followers With Bio
68,274
Followers Without Bio
67.47%
% With Bio
32.53%
% 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 3,247 analyzed127,367
Combined Engagement
78,614
Total Likes
48,753
Total Retweets
25,473
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
Elon Musk has already made ~$750 million on his Twitter trade, which is approximately double Twitter’s net income for the last 3 years.
RT @LightsCameraPod: The Norm Macdonald "moth Joke," one of the greatest jokes every told on television. https://t.co/daC9oPVPsU
RT @FaceTheNation: “They will be paying for our generation’s decisions the rest of their lives”: @JanCBS explains why she thinks 2021's big…
Being a liberal with forbidden black friends under a censorious apartheid regime that denied its atrocities is a powerful origin story for Musk’s focus on free speech. So powerful, in fact, that this takeaway shines through a ham-fisted narrative insinuating the opposite. https:/
1975: Microsoft founded ~22 years later~ 1997: US v Microsoft filed ———————————- 1998: Google founded ~22 years later~ 2020: US v Google filed *************************** Apparently being sued for antitrust is like graduating from college for tech companies.
Key Insights & Takeaways
Thompson often highlights the intersection of technology and business strategy, providing historical context to modern issues. He uses data and examples to support his arguments, making complex topics accessible. His content frequently sparks discussion, indicating a thought-provoking and engaging style.
Strengths
- + Established follower base of 234,799
- + High community engagement through conversations
- + 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 @benthompson reveals an growing Twitter presence with 234,799 followers. The account demonstrates a conversation-first approach, averaging 93.2 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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