cuban 🍂
@cubansedge | ex señor trader and head of cigar research | https://discord.com/invite/NqDfZgxeku
74,689
Followers
2,769
Following
9,224
Tweets
45.1
Avg Engagement
1,718
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cubantobacco'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: Mid-Tier (10K+)
- Account Age:2011-10-03
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:41.9
- Avg Retweets per Tweet:3.2
- Followers Analyzed:50,000
- Following Analyzed:2,758
Engagement Analysis
Based on 3,231 tweetsThe account has a high average engagement rate with 2,119 likes and 251 retweets per tweet. This suggests a dedicated and active community interested in financial and cigar-related content.
41.9
Avg Likes/Tweet
3.2
Avg Retweets/Tweet
135,406
Total Likes
10,356
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
0
Median Retweets
33
75th Percentile
5,923
Top Tweet
0.6
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
9.7%
Original
81.5%
Replies
1.1%
Retweets
7.7%
Quotes
0.0%
Threads
0.1%
With Media
30.6%
With Links
0.4%
With #Tags
80.2%
With @Mentions
2.6%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.36
Reply/Original Ratio
7.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.1%
Weekday Posts
14.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 35 retweets (1% 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 3,231 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 traders, investors, and cigar enthusiasts interested in market trends and alternative assets like cryptocurrency. They are also drawn to content that offers practical trading tips and analysis.
Average
Audience Quality
22.0%
Suspicion Index
23.0%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.5%
Empty Bio
15.8%
<10 Tweets
15.0%
Mass Following (>2K)
0.0%
New (<90 days)
52.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
9.5%
<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.
107,180,444
Total Potential Reach
61
Median Follower Reach
232
75th Percentile Reach
9.1%
>1K followers
1.6%
>10K followers
0.4%
>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).
63.4%
Creators
31,690 accounts
20.8%
Consumers
10,416 accounts
15.8%
Dormant
7,894 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):
537
Verified Followers
4.88% of total
821
Protected Accounts
7.46% of total
4 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 |
|---|---|---|---|
| @LeBronJames | 941,663 | - | - |
| @igorlenterman | 648,657 | - | - |
| @CryptoBossBMA | 535,818 | - | - |
| @Jihoz_Axie | 506,658 | Entrepreneur | Blockchain, Gaming, NFTs |
| @AndreCronjeTech | 384,371 | Developer | DeFi, Blockchain, Innovation |
| @arrington | 297,411 | Entrepreneur | Tech, Crypto, Innovation |
| @crypto_bitlord7 | 293,385 | Cryptocurrency Trader | Altcoins, Bitcoin, Crypto reality TV |
| @Route2FI | 270,711 | Financial Advisor | DeFi, yield farming, NFT |
| @darcydonavan | 240,731 | Actress | Acting, Music, Producing |
| @conquerer1 | 235,759 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,236
Followers With Bio
3,763
Followers Without Bio
65.79%
% With Bio
34.21%
% 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 3,231 analyzed15,462
Combined Engagement
13,839
Total Likes
1,623
Total Retweets
3,092
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
1/ I get a ton of DMs asking me how I trade low timeframe, so did a quick diagram. This is pretty much all there is to it lol. If you have general awareness of where the market is going and what everything is doing, you can make a lot of money just buying and selling quick action
President of El Salvador has just said that you can get permanent residency in the country if you invest a minimum of 3 $BTC. The country will also be running a fund to offset the volatility experienced by merchants at point-of-sale. Wow. https://t.co/xJ1P181K5A
Breakfast in a bull market https://t.co/afCwvJqMGb
bottom's in on $BTC and $ETH for a while imo
Last chance to buy $ETH under $2k before we head back into the range
Network & Following Analysis
Based on 2,758 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
47.0%
Verified Accounts
29.0%
High Authority (>50K)
100.0%
Dormant Accounts
4.2%
Low Quality
16,380
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
83.1%
Individuals
2,292 accounts
8.7%
Brands/Orgs
240 accounts
8.2%
Media/News
226 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,942,954 | Entrepreneur | Space, Technology, Innovation |
| @realDonaldTrump Donald J. Trump | 87,252,587 | - | - |
| @NASA NASA | 76,225,479 | Space Research | Space, Exploration, Science |
| @SpaceX SpaceX | 31,273,078 | Aerospace Engineer | Space, Rockets, Innovation |
| @AOC Alexandria Ocasio-Cortez | 13,293,742 | Politician | politics, social justice, equality |
| @TheOnion The Onion | 11,666,780 | Satire News | Satire, humor, news |
| @binance Binance | 10,755,371 | Cryptocurrency Exchange | Cryptocurrency, Blockchain, Digital Assets |
| @KSI ksi | 8,931,889 | Musician | Music, Rap, Collaboration |
| @mcuban Mark Cuban | 8,810,083 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @cz_binance CZ 🔶 Binance | 8,608,261 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
Key Insights & Takeaways
The user frequently shares trading strategies and market analysis, which indicates a focus on educating followers about financial markets. They also engage with followers through direct messages and provide visual content like diagrams to explain complex ideas. The user occasionally touches on cryptocurrency and alternative investments, such as Bitcoin-based residency programs in El Salvador.
Strengths
- + Established follower base of 74,689
- + 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 @cubantobacco reveals an growing Twitter presence with 74,689 followers. The account demonstrates a conversation-first approach, averaging 45.1 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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