Brian Kelly
Crypto Investor. Bitcoin Televangelist. 3rd Person Talker. Early Adopter/Late Bloomer. CNBC Fast Money Trader. Author - The Bitcoin Big Bang. Ironman
101,460
Followers
921
Following
17,984
Tweets
313.9
Avg Engagement
1,916
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BKBrianKelly'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:2009-01-22
- Verification:No
- Location:On the Chain
Data Summary
- Tweets Analyzed:3,113
- Avg Likes per Tweet:12.4
- Avg Retweets per Tweet:301.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,113 tweetsHis tweets typically receive high engagement, with an average of 865 likes and 279 retweets. The content is often shared widely, indicating a strong and active community around his posts.
12.4
Avg Likes/Tweet
301.5
Avg Retweets/Tweet
38,574
Total Likes
938,649
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
9
Median Retweets
63
75th Percentile
210,333
Top Tweet
3.09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
11.9%
Original
14.3%
Replies
65.9%
Retweets
8.0%
Quotes
0.0%
Threads
0.2%
With Media
74.6%
With Links
26.4%
With #Tags
86.4%
With @Mentions
9.3%
With Emojis
153
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.21
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.3%
Weekday Posts
16.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,113 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 2,050 retweets (66% 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 3,113 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 10,000 followersHis followers are likely interested in cryptocurrency, investing, and financial markets, with a focus on Bitcoin. The audience appears to be active traders and investors looking for market insights and analysis.
Average
Audience Quality
31.3%
Suspicion Index
40.4%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.0%
Empty Bio
41.2%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
28.7%
<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.
20,473,914
Total Potential Reach
17
Median Follower Reach
82
75th Percentile Reach
4.2%
>1K followers
0.7%
>10K followers
0.2%
>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).
36.1%
Creators
3,611 accounts
22.7%
Consumers
2,271 accounts
41.2%
Dormant
4,118 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):
234
Verified Followers
2.34% of total
884
Protected Accounts
8.84% of total
5 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 | 14,093,093 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,330,788 | Restaurateur | Food, Travel, Influencer |
| @muratpak | 381,713 | Digital Artist | Art, Design, Technology |
| @robtswthrayguns | 258,052 | Inventor | synthwave, NFT, NSFW |
| @RealSexyCyborg | 239,012 | YouTuber | Open Source, 3D Printing, Infosec |
| @GarethSoloway | 191,168 | Trader | Technical Analysis, Discipline, Market Psychology |
| @Dccnnews | 147,596 | - | - |
| @SureshNakhua | 138,789 | Politician | Digital Marketing, Politics, Mumbai |
| @crypto_babyyyy | 130,219 | Promoter | NFTs, Crypto, Promotion |
| @KevinSvenson_ | 126,921 | Trader | Finance, Charts, Portfolio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,796
Followers With Bio
5,204
Followers Without Bio
47.96%
% With Bio
52.04%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,113 analyzed493,381
Combined Engagement
0
Total Likes
493,381
Total Retweets
98,676
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @martoo14: Update: Not all sports are cancelled https://t.co/VHmxFinflV
RT @Sethrogen: My work here is done. https://t.co/OxlR08Re8u
RT @jamesdoleman: Imagine banning the world's coolest dog. https://t.co/LIyyRBVZQT
RT @TheRealBuzz: I was on the Moon! #Apollo11 @NASA https://t.co/6Nb2cQVU32
RT @elonmusk: https://t.co/EbOjGshvrq
Key Insights & Takeaways
He frequently highlights Bitcoin's performance and market trends, providing context for price fluctuations. He uses analogies and metaphors, such as the 'Vomiting Camel' pattern, to explain complex market behavior. He often references real-world events, like Robinhood's crypto trading growth, to illustrate broader market shifts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 101,460
- + 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 @BKBrianKelly reveals an well-established Twitter presence with 101,460 followers. The account demonstrates a conversation-first approach, averaging 313.9 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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