Jonas Blue
Past Life with Felix Jaehn ⬇️
118,481
Followers
996
Following
7,053
Tweets
289.6
Avg Engagement
290
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JonasBlue'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:2015-10-29
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:226.2
- Avg Retweets per Tweet:63.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsJonasBlue's tweets typically receive high engagement, with an average of 12,360 likes and 3,695 retweets per post. This indicates a loyal and active fan community.
226.2
Avg Likes/Tweet
63.4
Avg Retweets/Tweet
723,863
Total Likes
202,950
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
70
Median Likes
6
Median Retweets
185
75th Percentile
37,935
Top Tweet
2.44
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
57.8%
Original
26.8%
Replies
6.8%
Retweets
8.7%
Quotes
0.0%
Threads
0.5%
With Media
69.6%
With Links
17.8%
With #Tags
67.5%
With @Mentions
84.4%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.46
Reply/Original Ratio
1.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.9%
Weekday Posts
15.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 217 retweets (7% 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 3,200 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 followersHis audience primarily consists of music enthusiasts and fans of electronic dance music. The engagement metrics suggest a strong and interactive fan base.
Average
Audience Quality
21.7%
Suspicion Index
22.9%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.9%
Empty Bio
25.9%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.6%
No URL
17.9%
<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.
30,432,811
Total Potential Reach
35
Median Follower Reach
215
75th Percentile Reach
7.8%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
55.6%
Creators
5,561 accounts
18.5%
Consumers
1,848 accounts
25.9%
Dormant
2,591 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):
69
Verified Followers
0.69% of total
1,372
Protected Accounts
13.72% 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 |
|---|---|---|---|
| @JohnCena | 14,093,796 | Wrestler | Wrestling, Motivation, Self-promotion |
| @nickyromero | 2,529,232 | DJ | Music, DJing, Remixing |
| @DJShacho_Foxx | 1,810,165 | DJ | Music, DJing, Japan |
| @djsbu | 1,046,292 | Entrepreneur | Investor, Hustler, Finance |
| @corbynbesson | 849,145 | Musician | Music, Band, Black |
| @funradio_fr | 740,024 | Radio Host | Music, Entertainment, Radio |
| @PopWrapped | 498,691 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @jacarandafm | 431,936 | Radio Broadcaster | Music, Radio, South Africa |
| @iamprincekash | 408,747 | - | - |
| @djwaynemccardle | 381,689 | DJ/Producer | Music, Beats, Genres |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,210
Followers With Bio
2,790
Followers Without Bio
72.1%
% With Bio
27.9%
% 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 3,200 analyzed103,207
Combined Engagement
75,846
Total Likes
27,361
Total Retweets
20,641
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
😉💙 @GOT7Official
Two years since me, @LiamPayne and @lennonstella released Polaroid. Amazing how it can go from Liam and I recording vocals at my studio, to millions of you hearing it around the world. Thanks for the love 💙 https://t.co/0YYGemAxPf
🇯🇵 Don't Wake Me Up x @BEFIRSTofficial 🇯🇵 Exclusive Japanese version dropping 2022.07.13 🔥 Are you ready? https://t.co/ELoaebZsCx
Wow!! @fujirock_jp 2022.. what an incredible show!! Japan it’s so good to be back after 3 years.. missed you all.. and a big thank you to @BEFIRSTofficial for joining me on stage. I’ll be back for my Japan tour in March 2023.. tickets on sale September 10 🇯🇵💙 https://t.co/M4ghg7y
Your support has been AMAZING 📸 💙 We are so happy you love the song as much as we do! #Polaroid @lennonstella @LiamPayne https://t.co/Kh8ibTmwsj
Key Insights & Takeaways
He frequently collaborates with other artists, which helps expand his reach and engagement. His tweets often include promotional content for new music releases, indicating a focus on marketing. He uses emojis and visual elements to make his tweets more appealing and engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 118,481
- + 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 @JonasBlue reveals an well-established Twitter presence with 118,481 followers. The account demonstrates a content-creator strategy, averaging 289.6 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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