Natalie Brunell ⚡️
Host, Coin Stories Podcast | Hope & Freedom | #Bitcoin Educator | Media Commentator | Awarded Journalist | Bard of Bitcoin | First Generation 🇺🇸
312,885
Followers
4,438
Following
19,274
Tweets
366.1
Avg Engagement
2,071
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @natbrunell'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:2012-04-02
- Verification:No
- Location:No Financial Advice
Data Summary
- Tweets Analyzed:3,146
- Avg Likes per Tweet:128.1
- Avg Retweets per Tweet:238.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,146 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is often shared widely, especially around Bitcoin-related topics and personal achievements.
128.1
Avg Likes/Tweet
238.0
Avg Retweets/Tweet
403,073
Total Likes
748,657
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
4
Median Retweets
165
75th Percentile
93,010
Top Tweet
1.17
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
19.4%
Original
50.1%
Replies
29.3%
Retweets
1.2%
Quotes
0.0%
Threads
0.3%
With Media
31.2%
With Links
25.3%
With #Tags
90.3%
With @Mentions
14.4%
With Emojis
117
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.58
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
82.7%
Weekday Posts
17.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,146 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 923 retweets (29% 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 3,146 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 includes Bitcoin enthusiasts, investors, and individuals interested in personal finance and economic freedom. Many follow him for his educational content and commentary on media and politics.
Average
Audience Quality
21.6%
Suspicion Index
27.8%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.4%
Empty Bio
23.6%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
38.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
15.2%
<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.
78,176,565
Total Potential Reach
52
Median Follower Reach
182
75th Percentile Reach
7.4%
>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).
52.7%
Creators
26,371 accounts
23.6%
Consumers
11,815 accounts
23.6%
Dormant
11,814 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):
3,545
Verified Followers
3.51% of total
7,118
Protected Accounts
7.05% 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 | 14,102,295 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CryptoWeb3_NFT | 4,365,216 | - | - |
| @DineshDSouza | 3,208,145 | Author/Filmmaker | author, filmmaker, podcasting |
| @okx | 2,942,617 | Cryptocurrency Exchange | Bitcoin, Crypto, Exchange |
| @SirKunt | 2,253,664 | - | - |
| @miguelhotero | 1,929,150 | Journalist | Politics, Journalism, Leadership |
| @Cointelegraph | 1,889,592 | Crypto News | Bitcoin, Ethereum, blockchain |
| @ramonmuchacho | 1,431,927 | Politician | Venezolano, Alcalde, Chacao |
| @KimDotcom | 1,363,916 | Entrepreneur | Entrepreneur, Gamer, Internet Freedom |
| @pmarca | 1,236,286 | Investor | Tucked shirt |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,067
Followers With Bio
38,932
Followers Without Bio
61.45%
% With Bio
38.55%
% 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 3,146 analyzed247,793
Combined Engagement
0
Total Likes
247,793
Total Retweets
49,559
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @NASAWebb: 👀 Sneak a peek at the deepest & sharpest infrared image of the early universe ever taken — all in a day’s work for the Webb t…
RT @Alan_McGuinness: My son has lived through four chancellors, three home secretaries, two prime ministers and two monarchs. He's four mo…
RT @Chrisjjosephs: Two days ago the NYT posted an investigation into politicians trading stocks They found that 81 Democrats & 101 Republi…
RT @bariweiss: 1. A new #TwitterFiles investigation reveals that teams of Twitter employees build blacklists, prevent disfavored tweets fro…
RT @SahilBloom: Today is my 32nd birthday. Over the last month, I asked several 90-year-olds what advice they would give to their 32-year-…
Key Insights & Takeaways
He emphasizes the power of Bitcoin as a tool for financial freedom and societal change. He shares personal stories, such as paying off student loans through Bitcoin, to inspire others. He frequently collaborates with other influencers and organizations to spread his message.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 312,885
- + 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 @natbrunell reveals an well-established Twitter presence with 312,885 followers. The account demonstrates a conversation-first approach, averaging 366.1 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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