CCC.io
Holders of #Bitcoin #ETH #BNB The #1 Crypto Community since 2017 Top projects AMAs / News / Portfolio Analysis & Research. https://t.me/Coach 🇮🇳🇮🇱🇺🇸🇺🇦
104,570
Followers
1,748
Following
6,294
Tweets
399.5
Avg Engagement
114
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CryptoCoinCoach'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:2018-02-19
- Verification:No
- Location:Metaverse
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:102.6
- Avg Retweets per Tweet:296.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsThe account has high average likes and retweets, indicating strong audience interaction. Giveaways and predictions are key drivers of engagement.
102.6
Avg Likes/Tweet
296.9
Avg Retweets/Tweet
51,284
Total Likes
148,469
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
8
Median Retweets
142
75th Percentile
92,179
Top Tweet
3.82
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
65.4%
Original
20.4%
Replies
8.6%
Retweets
5.6%
Quotes
0.0%
Threads
0.0%
With Media
42.0%
With Links
47.2%
With #Tags
37.6%
With @Mentions
41.4%
With Emojis
129
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.2%
Weekday Posts
15.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 43 retweets (9% 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 500 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 followersThe audience is primarily interested in cryptocurrency, especially Bitcoin, Ethereum, and BNB. They are likely active traders, investors, and community members looking for news and analysis.
Average
Audience Quality
30.2%
Suspicion Index
30.7%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.0%
Empty Bio
32.4%
<10 Tweets
22.0%
Mass Following (>2K)
0.0%
New (<90 days)
68.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
30.4%
<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.
37,413,710
Total Potential Reach
31
Median Follower Reach
121
75th Percentile Reach
3.3%
>1K followers
0.5%
>10K followers
0.2%
>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).
59.9%
Creators
29,956 accounts
7.7%
Consumers
3,863 accounts
32.4%
Dormant
16,181 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):
673
Verified Followers
0.67% of total
3,109
Protected Accounts
3.08% of total
3 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 |
|---|---|---|---|
| @gvprakash | 6,570,531 | Musician | Music, Movies, Flying |
| @kucoincom | 2,445,901 | Cryptocurrency Trader | Crypto, Gem, Exchange |
| @SirKunt | 2,254,772 | - | - |
| @WandaNaraCrypto | 1,750,352 | Influencer | Bitcoin, Eth, Altcoins |
| @HuobiGlobal | 1,430,374 | - | - |
| @KimDotcom | 1,359,739 | Entrepreneur | Entrepreneur, Gamer, Internet Freedom |
| @TheToriant | 1,263,778 | - | - |
| @Mechilambre | 1,048,647 | Crypto Influencer | NFTs, Crypto, Marketing |
| @BaronDavis | 1,031,685 | Entrepreneur | Investor, Finesser, Creator |
| @ChiniGives | 1,012,211 | Crypto Community Manager | crypto, NFT, community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
73,084
Followers With Bio
27,862
Followers Without Bio
72.4%
% With Bio
27.6%
% 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 500 analyzed131,063
Combined Engagement
5,583
Total Likes
125,480
Total Retweets
26,213
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: Twitter is both a social media company and a crime scene
RT @UltiverseDAO: We are 🥳excited and proud to host the Metaverse Demo Week Event with @BinanceLabs following Monday. 👀What do you expect…
I will give $500 #Bitcoin to one person in next 72hr. Just retweet and make sure you are following me.
RT @elonmusk: @minliangtan I’m open to the idea
If #Bitcoin pumps to $25k this month I will giveaway $10,000 #BTC to one person who follows me and retweets this.
Key Insights & Takeaways
The account uses incentives like giveaways to boost engagement and follower growth. Predictions about Bitcoin's price are used to drive retweets and follows. The content is focused on community building and crypto education.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 104,570
- + 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 @CryptoCoinCoach reveals an well-established Twitter presence with 104,570 followers. The account demonstrates a content-creator strategy, averaging 399.5 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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