Tomy 🫶🏼
Fondateur @joblifeesport @JLTomyTV Contact : [email protected]
317,311
Followers
567
Following
36,661
Tweets
1,435.5
Avg Engagement
137
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JLTomy'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:2010-11-26
- Verification:No
- Location:JL House
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:1,267.7
- Avg Retweets per Tweet:167.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsHis tweets typically receive an average of 26,137 likes and 4,472 retweets, indicating strong audience interaction. The high engagement suggests his content resonates well with his followers.
1,267.7
Avg Likes/Tweet
167.8
Avg Retweets/Tweet
4,111,204
Total Likes
544,282
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
661
Median Likes
43
Median Retweets
1,691
75th Percentile
106,364
Top Tweet
4.52
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
32.3%
Original
39.6%
Replies
22.5%
Retweets
5.6%
Quotes
0.0%
Threads
0.6%
With Media
40.5%
With Links
7.5%
With #Tags
61.5%
With @Mentions
23.4%
With Emojis
77
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.22
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 731 retweets (23% 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 3,243 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 audience is primarily interested in sports and entertainment, with a focus on French-speaking regions. The content is likely tailored to fans of sports and pop culture.
Below Average
Audience Quality
38.9%
Suspicion Index
55.3%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.8%
Empty Bio
61.2%
<10 Tweets
1.4%
Mass Following (>2K)
0.0%
New (<90 days)
79.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.4%
No URL
44.7%
<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.
7,569,734
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
0.6%
>1K followers
0.1%
>10K followers
0.0%
>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).
16.9%
Creators
8,462 accounts
21.9%
Consumers
10,942 accounts
61.2%
Dormant
30,596 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):
112
Verified Followers
0.11% of total
6,663
Protected Accounts
6.66% of total
2 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 |
|---|---|---|---|
| @TiboInShape | 1,303,354 | Fitness Influencer | Fitness, TeamShape, DAAMN |
| @valouzz_ | 982,980 | YouTuber | - |
| @kennyS_ | 608,393 | Professional Gamer | CS:GO, eSports, Gaming |
| @IamMzilikazi | 546,723 | Musician | Pan-African music, Album, Rise |
| @ASUS_ROG_FR | 500,537 | Gaming | Gaming, Technology, Community |
| @bigfloetoli | 484,230 | Musician | Music, Album, WhatsApp |
| @Lincamion | 464,990 | Streamer | streaming, gaming, communication |
| @Skyyart | 366,555 | Streamer | Gaming, Entrepreneurship, Streaming |
| @Glenat_Manga | 142,646 | Publisher | One Piece, Dragon Ball, Akira |
| @VALORANTfr | 132,834 | Gaming influencer | shooter, tactical, PC |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,839
Followers With Bio
61,161
Followers Without Bio
38.84%
% With Bio
61.16%
% 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 3,243 analyzed265,390
Combined Engagement
146,813
Total Likes
118,577
Total Retweets
53,078
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @BurgerKingFR: @Arkunir Réel seulement si ce tweet fait 100 000 RT. https://t.co/I9qb5vBb49
Regardez j’ai croisé qui mdr https://t.co/qMPGgcCFHU
LIBERABLEEEEEEEEE https://t.co/WtEjgMfIJX
LIBERTÉ OUAAAAAAAIS https://t.co/Ek4CiXNwXS
https://t.co/r4aYybajRy
Key Insights & Takeaways
He frequently shares content that includes links to videos or media, suggesting a focus on visual and dynamic content. His top tweets often include emotional or exciting phrases, indicating an attempt to provoke strong reactions from his audience. He uses a mix of personal and professional content, which may help in building a loyal and diverse follower base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 317,311
- + 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 @JLTomy reveals an exceptionally influential Twitter presence with 317,311 followers. The account demonstrates a conversation-first approach, averaging 1,435.5 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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