GONTH
https://www.facebook.com/unsupportedbrowser [email protected]
152,385
Followers
816
Following
2,484
Tweets
317.0
Avg Engagement
118
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Gonth93'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:2009-10-23
- Verification:No
- Location:Cardiff, Wales
Data Summary
- Tweets Analyzed:2,333
- Avg Likes per Tweet:44.2
- Avg Retweets per Tweet:272.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,333 tweetsGonth93's tweets consistently receive high engagement, averaging 2,545 likes and 298 retweets per tweet. This suggests a strong and active community interested in their content.
44.2
Avg Likes/Tweet
272.8
Avg Retweets/Tweet
103,078
Total Likes
636,435
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
0
Median Retweets
44
75th Percentile
85,256
Top Tweet
2.08
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
40.2%
Original
43.5%
Replies
3.8%
Retweets
12.4%
Quotes
0.0%
Threads
0.3%
With Media
33.3%
With Links
3.6%
With #Tags
50.4%
With @Mentions
20.8%
With Emojis
63
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.08
Reply/Original Ratio
3.3
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 2,333 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 88 retweets (4% 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 2,333 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 appears to be sports enthusiasts and fans of humor, particularly those interested in football (soccer) and related topics. The content is likely shared by individuals looking for entertainment and light-hearted sports discussions.
Average
Audience Quality
22.0%
Suspicion Index
37.1%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.9%
Empty Bio
30.0%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
34.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
15.3%
<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.
52,759,873
Total Potential Reach
18
Median Follower Reach
65
75th Percentile Reach
1.8%
>1K followers
0.4%
>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).
37.0%
Creators
18,492 accounts
33.0%
Consumers
16,485 accounts
30.0%
Dormant
15,023 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):
87
Verified Followers
0.09% of total
6,564
Protected Accounts
6.5% of total
9 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 |
|---|---|---|---|
| @WhatTheFFacts | 5,604,557 | Facts | Facts, WTF, Curiosity |
| @Nadeshot | 2,971,952 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @BeatsByAssassin | 2,261,326 | Multitalented | Actor, Director, Rapper |
| @Tyson_Fury | 2,250,019 | Boxer | Boxing, Fitness, Motivation |
| @GazGShore | 2,132,668 | Reality TV Star | Reality TV, Fitness, Fashion |
| @YouTubeGaming | 2,094,208 | Gaming | Gaming, Community, Leveling Up |
| @6BillionPeople | 2,033,188 | - | - |
| @professorgreen | 1,665,790 | Musician | Music, Food, Philosophy |
| @Castro1021 | 1,507,825 | Gamer | Gaming, Champion, Business |
| @ScottGShore | 1,431,152 | Reality TV Star | Reality TV, Techno music, MTV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,165
Followers With Bio
58,829
Followers Without Bio
41.75%
% With Bio
58.25%
% 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 2,333 analyzed319,312
Combined Engagement
0
Total Likes
319,312
Total Retweets
63,862
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @Arsenal: Phew...
RT @MesutOzil1088: I was so sad that Jerry Quy aka our famous & loyal mascot @Gunnersaurus and integral part of our club was being made red…
RT @tylerthecreator: I THOUGHT BRINGING ONE OF THE BIGGEST ARTIST ON THE FUCKING PLANET TO A MUSIC FESTIVAL WAS FIRE! BUT FLIPSIDE, A LIL T…
RT @sterling7: Mmmmh ... Not sure about this one chief https://t.co/Jyjr6vFtA8
RT @KMbappe: SAY NO TO RACISM. ❌❌❌ M.WEBO WE ARE WITH YOU. ✊🏽
Key Insights & Takeaways
The user frequently shares humorous takes on sports events and figures, which drives engagement. They often use links to share specific content, indicating a focus on sharing highlights or notable moments. Their content is likely tailored to a younger, sports-oriented audience looking for entertainment and commentary.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 152,385
- + High community engagement through conversations
- + 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 @Gonth93 reveals an well-established Twitter presence with 152,385 followers. The account demonstrates a conversation-first approach, averaging 317.0 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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