Salomon Kalou
@FondationKalou @eclyon
242,144
Followers
113
Following
2,693
Tweets
106.1
Avg Engagement
1,109
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @salomonkalou'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:2010-08-04
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,644
- Avg Likes per Tweet:71.0
- Avg Retweets per Tweet:35.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,644 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and links also boosts engagement.
71.0
Avg Likes/Tweet
35.1
Avg Retweets/Tweet
187,737
Total Likes
92,757
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
21
75th Percentile
20,172
Top Tweet
0.44
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
57.2%
Original
29.3%
Replies
13.2%
Retweets
0.3%
Quotes
0.0%
Threads
0.8%
With Media
38.1%
With Links
30.7%
With #Tags
69.3%
With @Mentions
9.4%
With Emojis
82
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.1%
Weekday Posts
35.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,644 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 349 retweets (13% 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 2,644 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 followersHis followers are likely football fans interested in his personal views and support for different clubs. The audience seems to appreciate his enthusiasm and engagement.
Average
Audience Quality
27.6%
Suspicion Index
29.0%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.1%
Empty Bio
28.8%
<10 Tweets
16.5%
Mass Following (>2K)
0.0%
New (<90 days)
59.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.7%
No URL
16.9%
<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.
88,267,995
Total Potential Reach
40
Median Follower Reach
160
75th Percentile Reach
4.8%
>1K followers
0.6%
>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).
45.8%
Creators
22,892 accounts
25.4%
Consumers
12,684 accounts
28.8%
Dormant
14,424 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):
119
Verified Followers
0.12% of total
8,302
Protected Accounts
8.22% of total
8 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 |
|---|---|---|---|
| @ChelseaFC | 24,482,064 | Football Club | Football, Champions League, Chelsea |
| @JohnCena | 14,100,537 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FIFAWorldCup | 12,480,572 | Sports Organization | Soccer, International, Tournament |
| @sportv | 4,079,982 | Sports Broadcaster | Football, Fitness, Basketball |
| @andreolifelipe | 3,352,228 | Jornalista | Esportes, Jornalismo, Globo |
| @caf_online_AR | 3,064,575 | Football Official | Football, Africa, Competitions |
| @fifaworldcup_ar | 3,046,058 | Sports News | Sports, News, Games |
| @fifaworldcup_es | 2,903,113 | Sports Event | Soccer, World Cup, Official Account |
| @SEkramyofficial | 2,809,602 | Footballer | Football, Resist SMV |
| @CAF_Online | 2,684,838 | Sports Organization | Football, Africa, Competitions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,077
Followers With Bio
51,918
Followers Without Bio
48.59%
% With Bio
51.41%
% 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 2,644 analyzed51,806
Combined Engagement
21,846
Total Likes
29,960
Total Retweets
10,361
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @SportsCenter: The Ice Bucket Challenge has taken the country by storm. Meet the man who inspired it all in today's #SCFeatured. » http:…
Come on Blues @ChelseaFC https://t.co/BpcUy4l9RD
https://t.co/MrgSrWon3Q
Vamos BOTAFOGO! #Putfire
RT @MichaelEssien: Haters will broadcast your failure but whisper your success.Medicals done,looking forward to start my new life with AC M…
Key Insights & Takeaways
He frequently supports specific football teams, showing his personal preferences and loyalty. His tweets often include links to social media posts, suggesting he shares content from other accounts. He uses hashtags to rally support and create a sense of community among his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 242,144
- + 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 @salomonkalou reveals an well-established Twitter presence with 242,144 followers. The account demonstrates a content-creator strategy, averaging 106.1 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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