JOSSPACE
97,552
Followers
1,017
Following
43,268
Tweets
286.3
Avg Engagement
103
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @josspace'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: Mid-Tier (10K+)
- Account Age:2011-10-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,189
- Avg Likes per Tweet:21.9
- Avg Retweets per Tweet:264.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,189 tweetsTheir tweets typically receive around 1,941 likes and 279 retweets on average, showing a moderate level of engagement. The content seems to resonate with their followers.
21.9
Avg Likes/Tweet
264.4
Avg Retweets/Tweet
69,834
Total Likes
843,131
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
22
75th Percentile
248,586
Top Tweet
2.93
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
29.9%
Original
38.9%
Replies
24.2%
Retweets
6.9%
Quotes
0.0%
Threads
0.3%
With Media
33.3%
With Links
2.0%
With #Tags
65.8%
With @Mentions
25.7%
With Emojis
71
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.3
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,189 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 771 retweets (24% 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 3,189 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 10,000 followersTheir audience appears to be interested in sports, music, and food discussions. They engage with a mix of casual and opinionated content.
Average
Audience Quality
22.5%
Suspicion Index
26.8%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.5%
Empty Bio
24.1%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
55.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
No URL
15.1%
<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.
14,884,515
Total Potential Reach
28
Median Follower Reach
104
75th Percentile Reach
4.4%
>1K followers
1.5%
>10K followers
0.7%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.6%
Creators
5,565 accounts
20.3%
Consumers
2,030 accounts
24.1%
Dormant
2,405 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):
55
Verified Followers
0.55% of total
841
Protected Accounts
8.41% 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 |
|---|---|---|---|
| @PatrickAdemo | 1,079,691 | Unknown | Travel, Adventure, Long journey |
| @Arkunir | 882,943 | Footballer | Football, Music, Gaming |
| @Kulturlesite_ | 794,626 | Cultural Blogger | Actualités, Dossiers, Playlists |
| @VibesFoot | 566,563 | Football Analyst | Football, Vibes, Perspective |
| @Grimkujow_ | 470,672 | Fishing influencer | Fishing, Lost access, Communication |
| @gaspardooo | 315,423 | Content Creator | montages humoristiques, parodies, navire |
| @RMFrench_ | 302,195 | Sports Journalist | Football, Real Madrid, French |
| @spotifyfrance | 263,371 | Music streaming | Music, France, Listening |
| @midiminuit__ | 257,098 | Media | Rap, Sport, Cinéma |
| @AUT0PORN | 239,425 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,151
Followers With Bio
3,849
Followers Without Bio
61.51%
% With Bio
38.49%
% 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 3,189 analyzed462,046
Combined Engagement
0
Total Likes
462,046
Total Retweets
92,409
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @KMbappe: Nous reviendrons. 🇫🇷🙏🏽 https://t.co/Ni2WhO6Tgd
RT @Soho_ju: Support yourself. Speak highly about yourself. Motivate yourself. Pray for yourself.
RT @prplexi: i wish grandparents lasted forever
RT @KMbappe: L’aventure continue…🔴🔵 https://t.co/w0STNy0oLQ
RT @PSG_inside: 𝐍𝐨𝐭𝐫𝐞 𝐡𝐢𝐬𝐭𝐨𝐢𝐫𝐞 𝐬’𝐞́𝐜𝐫𝐢𝐭 𝐢𝐜𝐢 𝐈𝐜𝐢 𝐜’𝐞𝐬𝐭 𝐏𝐚𝐫𝐢𝐬 🔴🔵 #KylianCestParis https://t.co/LtCVEKeqis
Key Insights & Takeaways
They often share personal opinions and humor, which may drive engagement. Their tweets include a mix of sports, music, and food topics, indicating diverse interests. They use links in some tweets, possibly to direct followers to external content or discussions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 97,552
- + 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 @josspace reveals an well-established Twitter presence with 97,552 followers. The account demonstrates a conversation-first approach, averaging 286.3 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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