50,049
Followers
1,058
Following
5,623
Tweets
436.6
Avg Engagement
617
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JonasJerebko'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:2011-02-14
- Verification:No
- Location:Detroit, MI
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:75.9
- Avg Retweets per Tweet:360.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,222 tweetsHis tweets receive an average of 4,724 likes and 751 retweets, indicating a highly engaged audience. The content is well-received and shared within the sports community.
75.9
Avg Likes/Tweet
360.7
Avg Retweets/Tweet
244,552
Total Likes
1,162,072
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
3
Median Retweets
67
75th Percentile
336,270
Top Tweet
8.72
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
42.5%
Original
24.1%
Replies
25.2%
Retweets
8.2%
Quotes
0.0%
Threads
0.4%
With Media
44.4%
With Links
41.9%
With #Tags
70.2%
With @Mentions
37.3%
With Emojis
90
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.8%
Weekday Posts
34.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 813 retweets (25% 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 3,222 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 is primarily sports enthusiasts, especially fans of the NBA and Boston Celtics. The content is tailored to engage with a passionate and active fan base.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
100.0%
<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.
39,018,615
Total Potential Reach
30
Median Follower Reach
145
75th Percentile Reach
6.0%
>1K followers
1.5%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,140
Protected Accounts
11.4% of total
7 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 | 14,097,386 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KameronBennett | 1,805,210 | DJ | Music, DJing, Booking |
| @toddcarey | 1,674,920 | Musician | Music, Collaboration, Community |
| @JCrossover | 1,643,007 | Basketball Player | Basketball, Identity, Love |
| @Teeqo | 1,457,217 | Gamer | Gaming, Content Creation, FaZe |
| @WorldWideWob | 1,105,180 | Sports Analyst | NBA, Basketball, Fantasy Sports |
| @ZachBoychuk | 823,682 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @tarik | 734,844 | Content Creator | content creation, gaming, business |
| @EuroLeague | 638,285 | Sports Organization | Basketball, Europe, Competition |
| @DAZNBoxing | 620,081 | Boxing Promoter | Boxing, Anthony Joshua, Canelo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,159
Followers With Bio
3,841
Followers Without Bio
61.59%
% With Bio
38.41%
% 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 3,222 analyzed879,435
Combined Engagement
0
Total Likes
879,435
Total Retweets
175,887
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @JustinTrudeau: To those fleeing persecution, terror & war, Canadians will welcome you, regardless of your faith. Diversity is our strength #WelcomeToCanada
RT @netflix: We’re disappointed in the decision to gut #NetNeutrality protections that ushered in an unprecedented era of innovation, creativity & civic engagement. This is the beginning of a longer legal battle. Netflix stands w/ innovators, large & small, to oppose this
RT @CamCox12: Everyone should listen to this from Serena Williams. https://t.co/TF03dhpq2P
RT @bernabephoto: A man hits a very large, slow-moving, peaceful creature at close range with a high-powered rifle to help him feel like more of a man. Legal, endangered, threatened, or none of the above, it's still wrong and barbaric. Please RT if you think all trophy hunting sh
RT @KyleKorver: I've been trying to write this for a while. https://t.co/Qkt8aoVtdE
Key Insights & Takeaways
He leverages hashtags like #DubNation and #CelticsNation to build community and engagement. His tweets often include links to further content or events, encouraging interaction. He focuses on celebrating team wins and maintaining a positive, energetic tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 50,049
- + 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 @JonasJerebko reveals an well-established Twitter presence with 50,049 followers. The account demonstrates a content-creator strategy, averaging 436.6 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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