CoinKritik
#Crypto | #Nasdaq | #OnChain Therapist | #BNB Holder https://linktr.ee/coinkritik
17,485
Followers
1,585
Following
8,741
Tweets
53
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @coinkritik'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:2017-12-19
- Verification:No
- Location:coinkritik.bnb
Data Summary
- Followers Analyzed:17,351
- Following Analyzed:1,461
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Audience Demographics
Based on 17,351 followersThe audience likely includes crypto enthusiasts, investors, and individuals interested in financial markets and blockchain technology. The content may appeal to those looking for analysis or therapeutic insights related to crypto.
Average
Audience Quality
28.9%
Suspicion Index
26.3%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.3%
Empty Bio
18.4%
<10 Tweets
22.2%
Mass Following (>2K)
0.0%
New (<90 days)
73.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
12.4%
<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.
13,117,920
Total Potential Reach
26
Median Follower Reach
108
75th Percentile Reach
3.1%
>1K followers
0.5%
>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).
61.6%
Creators
10,683 accounts
20.0%
Consumers
3,478 accounts
18.4%
Dormant
3,190 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):
157
Verified Followers
0.9% of total
1,117
Protected Accounts
6.44% 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 |
|---|---|---|---|
| @CryptoXMessi | 4,363,792 | TV Host | Crypto, Altcoin, NFT |
| @FloydShivambu | 1,422,989 | Politician | Dialectical Materialism, Labour Theory of Value, Revolution |
| @TrustPad | 418,467 | Cryptocurrency Launchpad | Cryptocurrency, Launchpad, Multi-chain |
| @Crypto_Lailaa | 318,452 | Crypto Influencer | Crypto, NFT, Giveaways |
| @coinmuhendisim | 236,768 | - | - |
| @barisbuyuktas | 212,716 | Trader | Trading, Cryptocurrency, Education |
| @Fonspromo | 205,638 | - | - |
| @inancsalman | 142,386 | Trader | Crypto, Trading, Education |
| @gayriresmihesap | 140,781 | - | - |
| @amandabene | 135,725 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,361
Followers With Bio
6,990
Followers Without Bio
59.71%
% With Bio
40.29%
% 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 $15Network & Following Analysis
Based on 1,461 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
61.7%
Verified Accounts
63.0%
High Authority (>50K)
100.0%
Dormant Accounts
2.9%
Low Quality
92,932
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
78.4%
Individuals
1,146 accounts
11.4%
Brands/Orgs
166 accounts
10.2%
Media/News
149 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,996,938 | Entrepreneur | Space, Technology, Innovation |
| @realDonaldTrump Donald J. Trump | 87,257,788 | - | - |
| @X X | 66,566,833 | Social Media Manager | - |
| @cnnbrk CNN Breaking News | 63,831,070 | News Outlet | News, Breaking, Alerts |
| @BillGates Bill Gates | 63,551,943 | Philanthropist | Philanthropy, Learning, Technology |
| @BBCBreaking BBC Breaking News | 51,630,678 | News broadcaster | News, Updates, Alerts |
| @NBA NBA | 44,207,130 | Sports Media | Basketball, Sports, Entertainment |
| @JoeBiden Joe Biden | 37,392,886 | Politician | Family, Leadership, America |
| @POTUS President Biden | 32,187,953 | - | - |
| @kanyewest ye | 31,751,044 | - | - |
Key Insights & Takeaways
The user may be targeting a niche audience interested in crypto and financial markets. Low engagement suggests the content may not be resonating with the broader audience. The use of hashtags like #Crypto and #Nasdaq indicates a focus on market trends and analysis.
Strengths
- + Established follower base of 17,485
- + 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 @coinkritik reveals an growing Twitter presence with 17,485 followers. The account demonstrates a content-creator strategy, averaging 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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