Sheldon The Sniper
YouTuber , Crypto , Motivation , TCO https://www.youtube.com/@CryptoBanterGroup No Financial Advice
448,290
Followers
736
Following
4,701
Tweets
505.5
Avg Engagement
2,933
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Sheldon_Sniper'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:2021-03-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:469.9
- Avg Retweets per Tweet:35.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHis tweets typically receive high engagement, with an average of 6,879 likes and 1,233 retweets. The audience actively participates in his banter and personal updates.
469.9
Avg Likes/Tweet
35.6
Avg Retweets/Tweet
1,525,162
Total Likes
115,698
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
217
Median Likes
13
Median Retweets
624
75th Percentile
12,312
Top Tweet
1.13
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
58.2%
Original
37.2%
Replies
0.9%
Retweets
3.8%
Quotes
0.0%
Threads
0.1%
With Media
38.6%
With Links
2.8%
With #Tags
37.2%
With @Mentions
53.6%
With Emojis
97
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.64
Reply/Original Ratio
4.43
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.3%
Weekday Posts
11.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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.
The 28 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 3,246 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 crypto enthusiasts, motivational seekers, and individuals interested in TCO. The community seems to value personal stories and charitable efforts.
Average
Audience Quality
21.7%
Suspicion Index
31.3%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.3%
Empty Bio
27.0%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
36.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.4%
No URL
17.3%
<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.
45,510,793
Total Potential Reach
35
Median Follower Reach
120
75th Percentile Reach
5.1%
>1K followers
0.9%
>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).
47.4%
Creators
23,684 accounts
25.6%
Consumers
12,809 accounts
27.0%
Dormant
13,507 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):
1,876
Verified Followers
1.88% of total
5,873
Protected Accounts
5.87% 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,364,503 | - | - |
| @AaronCarpenter | 3,125,254 | Influencer | music, fitness, travel |
| @TheWignus | 2,490,414 | - | - |
| @SirKunt | 2,254,455 | - | - |
| @CryptoTownEU | 1,518,731 | Cryptocurrency Promoter | Bitcoin, Airdrop, Promote |
| @KimDotcom | 1,364,582 | Entrepreneur | Entrepreneur, Gamer, Internet Freedom |
| @OrionDepp | 1,025,126 | Venture Capitalist | Venture Capital, Tech Analysis, Crypto |
| @LeBronJames | 1,004,928 | - | - |
| @NEST_Protocol | 927,769 | - | - |
| @EdKrassen | 886,625 | Journalist | Politics, Journalism, Author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,117
Followers With Bio
44,883
Followers Without Bio
55.12%
% With Bio
44.88%
% 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 3,246 analyzed44,572
Combined Engagement
41,999
Total Likes
2,573
Total Retweets
8,914
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Banter fam! I’m a dad!!🥲🥲
It’s a girl Banter fam!!
Managed to give a 100 less fortunate people some food and presents for the day First time I have been able to do something like this with the family If you can , remember to always give back Much love banter fam , Merry Christmas https://t.co/ShBkQYUtwK
My current targets as it stands $BTC $12 000 - $13000 $SOL $6 - $7 $ETH $800 - $900 $BNB $180 - $200 $ADA $0.20c - $0.23c $DOGE $6 - $6.20 $XRP $0.27 - $0.29 $AVAX $7.50 - $8.50 $THETA $0.70 - $0.75 $APT $2.60 - $2.80 $APE $2.10 - $2.40 If anything changes will update
😂😂 https://t.co/2Hq5c589VS
Key Insights & Takeaways
He frequently shares personal updates and family moments, which resonate with his audience. His content often includes charitable activities, showing a commitment to giving back. He uses a casual and relatable tone, which helps build a strong connection with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 448,290
- + 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 @Sheldon_Sniper reveals an well-established Twitter presence with 448,290 followers. The account demonstrates a content-creator strategy, averaging 505.5 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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