314,441
Followers
429
Following
1,908
Tweets
7,555.8
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kloppholic'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:2014-12-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,298
- Avg Likes per Tweet:6,452.6
- Avg Retweets per Tweet:1,103.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,298 tweetsThe account consistently receives high engagement, indicating a loyal and active fanbase. The use of heart emojis and emotional content likely contributes to the strong interaction rates.
6,452.6
Avg Likes/Tweet
1,103.3
Avg Retweets/Tweet
8,375,436
Total Likes
1,432,030
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,607
Median Likes
406
Median Retweets
11,390
75th Percentile
177,608
Top Tweet
24.03
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
91.8%
Original
6.7%
Replies
1.3%
Retweets
0.2%
Quotes
0.0%
Threads
6.3%
With Media
77.1%
With Links
0.5%
With #Tags
6.0%
With @Mentions
13.9%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.9%
Weekday Posts
34.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,298 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 17 retweets (1% 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 1,298 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 likely consists of football fans, especially those who support Liverpool and follow Sadio Mané. The account's content appeals to emotionally driven followers who appreciate heartfelt and inspirational messages.
Average
Audience Quality
27.4%
Suspicion Index
31.1%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.1%
Empty Bio
32.1%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
63.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
20.1%
<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.
15,587,642
Total Potential Reach
20
Median Follower Reach
100
75th Percentile Reach
3.1%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
42.7%
Creators
21,327 accounts
25.2%
Consumers
12,603 accounts
32.1%
Dormant
16,070 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):
208
Verified Followers
0.21% of total
10,833
Protected Accounts
10.83% 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 |
|---|---|---|---|
| @gunsnrosesgirl3 | 936,967 | - | - |
| @markgoldbridge | 633,504 | Presenter | Football, Manchester United, Presenter |
| @Qatari | 570,450 | Lawyer | Real Madrid, PSG, Arsenal |
| @IamMzilikazi | 546,705 | Musician | Pan-African music, Album, Rise |
| @StokeyyG2 | 342,701 | - | - |
| @el_uthmaan | 327,345 | Fashion Designer | Fashion, Adverts, Prayer |
| @FUTWIZ | 326,971 | Esports | FIFA21, Esports, Gaming |
| @Thavisin | 302,950 | CEO | equality, human rights, future |
| @ebnosamaaa | 276,277 | Sports Presenter | Football, Al Ahly, Sports |
| @TaraBull808 | 259,213 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,997
Followers With Bio
39,003
Followers Without Bio
61.0%
% With Bio
39.0%
% 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 1,298 analyzed662,670
Combined Engagement
450,357
Total Likes
212,313
Total Retweets
132,534
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @LFC: WE’RE PREMIER LEAGUE CHAMPIONS!! 🏆 https://t.co/qX7Duxoslm
What a photo.❤️ https://t.co/oGoWa8x7mS
Hope. https://t.co/8zBCPYjy8u
Sadio Mané, Liverpool and Premier League great. Thank you.❤️ https://t.co/U4n7aGmFEm
Goodnight. https://t.co/HRYUsEszvi
Key Insights & Takeaways
The account focuses on emotional and heartfelt content related to football. It highlights key players like Sadio Mané and celebrates Liverpool's achievements. The use of heart emojis and personal gratitude suggests a deep connection with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 314,441
- + 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 @Kloppholic reveals an exceptionally influential Twitter presence with 314,441 followers. The account demonstrates a content-creator strategy, averaging 7,555.8 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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