Stephan Livera
#Bitcoin Podcaster | Work @Swan | partner @bitcoinervc | Oct 5-6 in LA, come join us at https://pacificbitcoin.com/ (discount code: LIVERA)
151,656
Followers
2,113
Following
62,738
Tweets
135.9
Avg Engagement
2,159
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stephanlivera'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:2010-12-25
- Verification:Yes
- Location:Dubai, UAE
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:19.8
- Avg Retweets per Tweet:116.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 597 tweetsLivera's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is often shared and discussed within the Bitcoin community, reinforcing his influence.
19.8
Avg Likes/Tweet
116.0
Avg Retweets/Tweet
11,826
Total Likes
69,279
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
65
75th Percentile
13,238
Top Tweet
0.9
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
4.9%
Original
46.4%
Replies
45.6%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
21.4%
With Links
8.0%
With #Tags
92.1%
With @Mentions
5.5%
With Emojis
139
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
9.55
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 272 retweets (46% 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 597 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 followersHis audience primarily consists of individuals interested in cryptocurrency, blockchain technology, and financial freedom. They are likely to be well-informed about Bitcoin and skeptical of traditional financial systems.
Average
Audience Quality
22.1%
Suspicion Index
22.6%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.0%
Empty Bio
21.1%
<10 Tweets
17.9%
Mass Following (>2K)
0.0%
New (<90 days)
44.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.7%
No URL
13.2%
<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.
73,923,502
Total Potential Reach
66
Median Follower Reach
235
75th Percentile Reach
7.8%
>1K followers
1.2%
>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).
55.6%
Creators
27,782 accounts
23.4%
Consumers
11,679 accounts
21.1%
Dormant
10,539 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):
2,764
Verified Followers
2.74% of total
6,624
Protected Accounts
6.56% 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 | 14,105,679 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CryptoWeb3_NFT | 4,362,975 | - | - |
| @MCHammer | 3,185,940 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @SirKunt | 2,254,565 | - | - |
| @AlexisRen | 1,394,764 | Model | Fashion, Travel, Wellness |
| @SinghLions | 1,335,665 | Restaurateur | Food, Travel, Influencer |
| @unusual_whales | 1,280,302 | Finance Trading | Stocks, Options, Crypto |
| @durjoydatta | 1,023,910 | Author | Novelist, Screenwriter, Writing |
| @Scaramucci | 1,008,984 | Entrepreneur | Entrepreneur, Host, Podcast |
| @LeBronJames | 1,006,038 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,598
Followers With Bio
33,399
Followers Without Bio
66.93%
% With Bio
33.07%
% 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 597 analyzed31,113
Combined Engagement
0
Total Likes
31,113
Total Retweets
6,223
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @sahouraxo: 20 years ago today, the US and UK invaded Iraq. Over a million killed. Millions more refugees. Worse birth defects and can…
RT @CKellyUAP: NEW STUDY : HYDROXYCHLOROQUINE WAS SAVING LIVES WHEN THEY BANNED IT 💥This is huge💥 Just released retrospective study from…
RT @goddeketal: 🚨 5 cultural viruses are infecting our society, corroding our values and contaminating our lifestyle: 1. Men are being fem…
RT @CaitlinLong_: WORLD WAKING UP to the fact that a bank deposit is an unsecured loan to a leveraged counterparty, that the FDIC insurance…
RT @WEschenbach: Look, folks. Hate to burst the bubble, but the whole renewable madness is nothing but a green fantasy. We've spent TRILLIO…
Key Insights & Takeaways
Livera frequently critiques fractional reserve banking and promotes Bitcoin as a fully-reserved alternative. He is anti-CBDC but not necessarily pro-Bitcoin, which positions him as a critical voice in the crypto space. His content is designed to challenge the status quo and encourage a shift towards decentralized financial systems.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 151,656
- + 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 @stephanlivera reveals an well-established Twitter presence with 151,656 followers. The account demonstrates a conversation-first approach, averaging 135.9 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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