Joyca
Je suis un gars normal
2,215,188
Followers
670
Following
8,566
Tweets
3,224.0
Avg Engagement
283
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoycaOff'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: Mega Influencer (1M+)
- Account Age:2016-05-25
- Verification:No
- Location:Grenoble, France
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:2,670.6
- Avg Retweets per Tweet:553.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsTheir tweets receive high engagement, averaging 63k likes and 16k retweets per post.
2,670.6
Avg Likes/Tweet
553.3
Avg Retweets/Tweet
8,644,817
Total Likes
1,791,170
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
835
Median Likes
23
Median Retweets
2,892
75th Percentile
316,037
Top Tweet
1.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
27.3%
Original
63.1%
Replies
4.4%
Retweets
5.3%
Quotes
0.0%
Threads
1.0%
With Media
27.2%
With Links
4.3%
With #Tags
67.7%
With @Mentions
29.2%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.31
Reply/Original Ratio
1.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.3%
Weekday Posts
32.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 141 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 3,237 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 followersTheir audience appears to be primarily French-speaking, with a mix of casual and curious followers.
Below Average
Audience Quality
43.1%
Suspicion Index
73.2%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
77.8%
Empty Bio
81.0%
<10 Tweets
0.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
68.6%
<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.
2,313,788
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.3%
>1K followers
0.0%
>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).
7.5%
Creators
3,770 accounts
11.5%
Consumers
5,745 accounts
81.0%
Dormant
40,485 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):
49
Verified Followers
0.05% of total
8,210
Protected Accounts
8.13% of total
1 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 |
|---|---|---|---|
| @MisterVonline | 6,266,208 | Musician | Vinyles, Merchandise, Disponible |
| @enjoyphoenix | 1,434,861 | Influencer | Beauty, Fashion, Lifestyle |
| @PLK75 | 397,273 | Influencer | Fitness, Nutrition, Wellness |
| @rimkofficiel | 366,424 | Rapper | Music, Iceberg, Rapper |
| @EncoreBouly | 331,513 | Gamer | Gaming, Food, Comedy |
| @KOMINERT | 223,336 | Talent Agent | Music Promotion, Talent Agents, RnB/Soul |
| @LittleBigWhale | 175,929 | Streamer | Gaming, Twitch, Esports |
| @Karnagemvp | 143,931 | Producer | Gaming, Content Creation, Music |
| @petitcon_ | 121,004 | Comedian | humor, laughter, fun |
| @adelecastillon | 120,436 | Singer | Music, Travel, Food |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
22,288
Followers With Bio
78,707
Followers Without Bio
22.07%
% With Bio
77.93%
% 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 3,237 analyzed772,837
Combined Engagement
164,816
Total Likes
608,021
Total Retweets
154,567
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @nicobilodeau: #10yearschallenge https://t.co/U2Sey7SDYH
RT @curledbitch: THIS SHIT MAKES ME LAUGH SO FUCKING MUCH https://t.co/0H7PMziDaG
Bonne nuit https://t.co/HhokDwNg1c
Comment t’en arrive à développer CE talent ? https://t.co/k9SgjtTJvQ
RT @DamienMescudi: Venez, pour une fois on fait quelque chose de bien avec ce truc de "Gneugneugneu combien de RT pour une XBOX". https://t…
Key Insights & Takeaways
They often share personal moments and greetings, which foster a sense of connection. Their content invites questions and dialogue, encouraging audience interaction. They maintain a consistent presence, which likely contributes to their high engagement rates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,215,188
- + 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 @JoycaOff reveals an exceptionally influential Twitter presence with 2,215,188 followers. The account demonstrates a conversation-first approach, averaging 3,224.0 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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