SHELDON EVANS
I spend a lot of time thinking about coins.
283,243
Followers
915
Following
3,107
Tweets
152.0
Avg Engagement
1,616
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SheldonEvans'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:2009-09-03
- Verification:No
- Location:→
Data Summary
- Tweets Analyzed:2,579
- Avg Likes per Tweet:124.9
- Avg Retweets per Tweet:27.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,579 tweetsHis tweets typically receive around 7,411 likes and 3,101 retweets on average, indicating strong audience interaction. The engagement is particularly high on personal and motivational content.
124.9
Avg Likes/Tweet
27.2
Avg Retweets/Tweet
322,004
Total Likes
70,024
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
8
75th Percentile
21,013
Top Tweet
0.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
63.0%
Original
32.8%
Replies
0.0%
Retweets
4.2%
Quotes
0.0%
Threads
8.0%
With Media
60.2%
With Links
13.5%
With #Tags
34.5%
With @Mentions
10.4%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.52
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.4%
Weekday Posts
23.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,579 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
Posting Patterns & Optimal Timing
Based on 2,579 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 individuals interested in cryptocurrency and personal development. They are likely drawn to his candid reflections and motivational messages.
Average
Audience Quality
23.6%
Suspicion Index
24.9%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
22.5%
<10 Tweets
14.4%
Mass Following (>2K)
0.0%
New (<90 days)
53.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
14.6%
<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.
67,793,194
Total Potential Reach
31
Median Follower Reach
141
75th Percentile Reach
6.2%
>1K followers
1.1%
>10K followers
0.3%
>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).
55.9%
Creators
27,931 accounts
21.6%
Consumers
10,804 accounts
22.5%
Dormant
11,265 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):
1,555
Verified Followers
1.55% of total
4,158
Protected Accounts
4.16% 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 |
|---|---|---|---|
| @JohnCena | 14,102,343 | Wrestler | Wrestling, Motivation, Self-promotion |
| @thalia | 9,785,010 | Singer | Music, Album, Love |
| @hodgetwins | 1,929,000 | Comedians | Merch, Giveaways, Podcast |
| @SinghLions | 1,334,600 | Restaurateur | Food, Travel, Influencer |
| @KateMillerGems | 1,258,375 | Crypto Influencer | Crypto, Gaming, Marketing |
| @BrianDEvans | 1,153,767 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @TheCryptoLark | 1,101,989 | - | - |
| @BoredApeYC | 1,060,661 | NFT Creator | NFTs, Membership, Discord |
| @BaronDavis | 1,030,344 | Entrepreneur | Investor, Finesser, Creator |
| @PaulCassidyOF | 849,537 | Adult entertainer | Explicit content |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,260
Followers With Bio
38,740
Followers Without Bio
61.26%
% With Bio
38.74%
% 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 2,579 analyzed64,245
Combined Engagement
50,517
Total Likes
13,728
Total Retweets
12,849
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
𝗟𝗮𝘀𝘁 𝘄𝗲𝗲𝗸 𝗜 𝗹𝗼𝘀𝘁 𝗺𝘆 𝗳𝗮𝘁𝗵𝗲𝗿. You know what? No one I've spoken to cared if he was wealthy or poor. They only cared about his character. Gentle, kind and honest. Work on yourself and build your character, that's the only thing you'll be remembered for. ❤️
Just hit 200K! 🎉GIVING AWAY $1,000 in #crypto🎉 1. Like and Retweet This 2. Follow Me Tagging friends below and shares increase your odds. MUST BE FOLLOWING ME TO WIN. Good luck 🚀 #Crypocurrency #Ethereum #Bitcoin $BTC $ETH
If you survive this, you will survive anything. This is one of the darkest, most difficult times we’ve had with extreme fear and extreme capitulation. We’re all riding this together. Crypto isn’t going away, remember that.
$500 in #ETH to someone who retweets + likes this. Tag your friends for extra points. https://t.co/C7tSoJd7dP
Elon is reckless.
Key Insights & Takeaways
His personal loss tweet highlights the importance of character over wealth He uses giveaways to boost engagement and encourage retweets and follows His content often addresses emotional and philosophical themes
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 283,243
- + Strong original content creation
- + 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 @SheldonEvans reveals an well-established Twitter presence with 283,243 followers. The account demonstrates a content-creator strategy, averaging 152.0 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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