Anthox Colaboy
Bio Twitter Chaine Twitch: https://www.twitch.tv/anth0xc0lab0y
72,360
Followers
321
Following
19,651
Tweets
633.7
Avg Engagement
61
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AnthoxColaboy'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:2012-05-28
- Verification:No
- Location:france
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:35.2
- Avg Retweets per Tweet:598.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,227 tweetsThe user's tweets receive consistent engagement, with an average of 1,454 likes and 191 retweets per post.
35.2
Avg Likes/Tweet
598.4
Avg Retweets/Tweet
113,727
Total Likes
1,931,065
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
0
Median Retweets
27
75th Percentile
510,160
Top Tweet
8.76
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
61.1%
Original
28.3%
Replies
7.2%
Retweets
3.5%
Quotes
0.0%
Threads
2.7%
With Media
65.4%
With Links
5.5%
With #Tags
39.0%
With @Mentions
26.7%
With Emojis
82
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.46
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 232 retweets (7% 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 3,227 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 10,000 followersThe audience appears to be interested in entertainment, social commentary, and interactive content.
Average
Audience Quality
25.6%
Suspicion Index
30.3%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.4%
Empty Bio
27.7%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
68.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.5%
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.
3,848,433
Total Potential Reach
8
Median Follower Reach
31
75th Percentile Reach
1.2%
>1K followers
0.3%
>10K followers
0.1%
>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).
45.6%
Creators
4,561 accounts
26.7%
Consumers
2,671 accounts
27.7%
Dormant
2,768 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):
23
Verified Followers
0.23% of total
692
Protected Accounts
6.92% 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 |
|---|---|---|---|
| @RoiLennon | 530,642 | Streamer | Gaming, Streaming, Improvement |
| @so_mkb | 487,981 | Influencer | Humor, Time-passing, Partnership |
| @TwitchFR | 379,168 | Streamer | gaming, French, purple |
| @loopooYT | 366,460 | Marketer | Marketing, Crypto, Casino |
| @Aiekillu | 286,019 | Gamer | Gaming, Influencer, Management |
| @keiidakamya | 211,055 | Artist | art, animation, languages |
| @sandruisseau | 126,586 | Parodie | parody, ecofeminist, economist |
| @KeoIys | 124,815 | Gamer | Fortnite, Twitch, Gaming |
| @DiscoverID1 | 102,660 | YouTuber | Hardware, Fun, Youtube |
| @MrKheiron | 93,462 | Comedian | Comedy, Utopian, Realistic |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,756
Followers With Bio
4,244
Followers Without Bio
57.56%
% With Bio
42.44%
% 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 3,227 analyzed1,012,713
Combined Engagement
0
Total Likes
1,012,713
Total Retweets
202,543
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @iqraanabi: “how’s self quarantine going?” https://t.co/6dzU8UjoeZ
RT @amr_ita: this is amazing 😭 this is the content i signed up for https://t.co/aGL9GtvUi2
RT @unfins: I did a comic about the woman yelling at a cat meme https://t.co/cj3WKt64f2
RT @chaselyons: I HAVE NEVER BEEN DISRESPECTED THIS BADLY https://t.co/FcjB3RmKGD
RT @RidiculousDak: Here’s a video you didn’t know you needed https://t.co/TZyhR9wMWA
Key Insights & Takeaways
The user frequently shares content that sparks discussion and debate. They engage with their audience by encouraging interaction and feedback. Their top tweets often include links to external content, suggesting a mix of multimedia and commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 72,360
- + 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 @AnthoxColaboy reveals an well-established Twitter presence with 72,360 followers. The account demonstrates a content-creator strategy, averaging 633.7 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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