The Crypto Network
Crypto Educational Content Creator #BITCOIN 630K+ TikTok
27,985
Followers
291
Following
4,927
Tweets
923.2
Avg Engagement
61
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @raffayalvi'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:2021-02-07
- Verification:No
- Location:Switzerland
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:44.2
- Avg Retweets per Tweet:879.0
- Followers Analyzed:25,274
Engagement Analysis
Based on 3,239 tweetsHis tweets receive an average of 1,158 likes and 760 retweets, showing strong engagement. He uses interactive tactics like giveaways to boost participation.
44.2
Avg Likes/Tweet
879.0
Avg Retweets/Tweet
143,213
Total Likes
2,846,942
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
3
Median Retweets
73
75th Percentile
341,568
Top Tweet
32.99
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
50.6%
Original
27.7%
Replies
12.3%
Retweets
9.4%
Quotes
0.0%
Threads
0.0%
With Media
26.1%
With Links
9.1%
With #Tags
39.6%
With @Mentions
27.4%
With Emojis
95
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 397 retweets (12% 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 3,239 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 25,274 followersHis audience is primarily interested in cryptocurrency and blockchain technology, with a focus on Bitcoin. The audience is likely active on social media platforms like TikTok and Twitter.
Average
Audience Quality
23.6%
Suspicion Index
28.7%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.9%
Empty Bio
23.1%
<10 Tweets
13.1%
Mass Following (>2K)
0.0%
New (<90 days)
49.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.4%
No URL
14.4%
<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.
38,671,904
Total Potential Reach
26
Median Follower Reach
132
75th Percentile Reach
4.8%
>1K followers
0.6%
>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).
53.8%
Creators
13,610 accounts
23.1%
Consumers
5,838 accounts
23.1%
Dormant
5,826 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):
30
Verified Followers
0.12% of total
1,741
Protected Accounts
6.89% 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 | 14,106,764 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,697 | - | - |
| @allyier | 1,761,141 | - | - |
| @AltcoinDailyio | 1,354,132 | - | - |
| @Stocktwits | 975,628 | Finance | finance, investing, global |
| @NEST_Protocol | 933,118 | - | - |
| @ZachBoychuk | 831,108 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Jidion6 | 651,806 | - | - |
| @TheDaoMaker | 627,449 | - | - |
| @CryptoGemsCom | 573,715 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,433
Followers With Bio
10,841
Followers Without Bio
57.11%
% With Bio
42.89%
% 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 3,239 analyzed1,044,710
Combined Engagement
0
Total Likes
1,044,710
Total Retweets
208,942
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
RT @elonmusk: Reinstate former President Trump
RT @StephenCurry30: Night Night https://t.co/fIMwW4eeSk
RT @mrbackend15: slowly accepting the fact that life doesn’t always go the way we want
RT @elonmusk: @FedorovMykhailo Starlink service is now active in Ukraine. More terminals en route.
Key Insights & Takeaways
He leverages TikTok for significant reach and influence in the crypto community He uses giveaways and interactive tactics to drive engagement and follower growth He collaborates with other creators and influencers to expand his network
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 27,985
- + 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 @raffayalvi reveals an well-established Twitter presence with 27,985 followers. The account demonstrates a content-creator strategy, averaging 923.2 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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