Holderch.eth
tattoo lover- $NFT investor 💎💎
23,331
Followers
151
Following
313
Tweets
22
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ch_maet'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:2018-01-18
- Verification:No
- Location:Not specified
Data Summary
- Followers Analyzed:23,505
- Following Analyzed:150
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Audience Demographics
Based on 23,505 followersThe audience likely includes individuals interested in tattoos and NFTs, possibly younger demographics drawn to digital art and blockchain technology. The follower count suggests a niche but growing community.
Below Average
Audience Quality
38.7%
Suspicion Index
31.9%
Low-Quality %
67
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.6%
Empty Bio
28.5%
<10 Tweets
46.9%
Mass Following (>2K)
0.0%
New (<90 days)
75.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.2%
No URL
18.1%
<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.
19,285,935
Total Potential Reach
67
Median Follower Reach
211
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).
48.8%
Creators
11,460 accounts
22.7%
Consumers
5,335 accounts
28.5%
Dormant
6,710 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):
60
Verified Followers
0.26% of total
5,635
Protected Accounts
23.97% of total
5 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 |
|---|---|---|---|
| @DanielNewman | 798,873 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @thexxlmen | 772,764 | Adult Entertainment | Big Cock Guys, Hottest Men, XXL Men |
| @Elenabayonaofic | 640,382 | Empresaria | Empresaria, Modelo, Entretenimiento |
| @THE_THEO_FORD | 478,173 | - | - |
| @jakubstefano23 | 335,909 | Content Creator | OnlyFans, Content creator, Brand ambassador |
| @hungemiliano | 291,784 | - | - |
| @romeroandtidus | 235,973 | Musician | Gaming, Horror, Cosplay |
| @Pinglii_Rv | 234,730 | Gamer | Ducks, Learning, Love |
| @Dudes4Dudes | 221,579 | Erotica Influencer | HotGuys, GayMale, Erotica |
| @girthyvvang | 211,674 | Adult entertainer | Thicc, Avid Bator, Sneezes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
12,784
Followers With Bio
10,721
Followers Without Bio
54.39%
% With Bio
45.61%
% 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 150 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
41.3%
Verified Accounts
43.3%
High Authority (>50K)
100.0%
Dormant Accounts
2.0%
Low Quality
33,213
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
82.7%
Individuals
124 accounts
12.7%
Brands/Orgs
19 accounts
4.7%
Media/News
7 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,975,736 | Entrepreneur | Space, Technology, Innovation |
| @Cobratate Andrew Tate | 7,796,004 | Kickboxer | - |
| @VitalikButerin vitalik.eth | 4,984,910 | Cryptocurrency Developer | Ethereum, Dragon Tyrant, Abolition |
| @verified Verified | 4,193,237 | - | - |
| @garyvee Gary Vaynerchuk | 3,126,328 | Entrepreneur | Family, CEO, Investor |
| @opensea OpenSea | 2,031,593 | NFT Marketplace | NFTs, Marketplace, Discover |
| @TheSandboxGame The Sandbox | 1,069,619 | Game Developer | gaming, building, metaverse |
| @mikeshinoda Mike Shinoda | 1,004,477 | Musician | Music, Art, Technology |
| @Eljaboom Elja | 646,155 | Entrepreneur | Crypto, Guinness World Record, Entrepreneur |
| @Coinbase_NFT Coinbase NFT 🛡️ | 541,271 | - | - |
Key Insights & Takeaways
The account may benefit from more visually engaging content to boost interaction. Low engagement suggests a need for better audience targeting or content strategy. The verified status is low, which could impact credibility or trust among followers.
Strengths
- + Established follower base of 23,331
- + 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 @ch_maet reveals an growing Twitter presence with 23,331 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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