68,757
Followers
278
Following
810
Tweets
4,569.8
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jeremyoff28'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:2012-02-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:807
- Avg Likes per Tweet:20.1
- Avg Retweets per Tweet:4,549.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 807 tweetsHis tweets receive an average of 293 likes and 227 retweets, indicating a moderately engaged audience. The content is well-received, with a focus on live and exclusive event coverage.
20.1
Avg Likes/Tweet
4,549.7
Avg Retweets/Tweet
16,250
Total Likes
3,671,574
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
7
Median Retweets
44
75th Percentile
3,656,464
Top Tweet
66.46
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79.6%
Original
10.9%
Replies
9.4%
Retweets
0.1%
Quotes
0.0%
Threads
1.5%
With Media
71.4%
With Links
24.0%
With #Tags
58.6%
With @Mentions
19.5%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.4%
Weekday Posts
11.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 807 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 76 retweets (9% 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 807 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 likely interested in entertainment, live events, and celebrity culture. They follow for real-time updates and behind-the-scenes access to media events.
Average
Audience Quality
28.1%
Suspicion Index
40.0%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.3%
Empty Bio
37.5%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
51.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
21.8%
<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.
7,639,451
Total Potential Reach
17
Median Follower Reach
72
75th Percentile Reach
2.5%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.4%
Creators
3,136 accounts
31.1%
Consumers
3,114 accounts
37.5%
Dormant
3,750 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):
17
Verified Followers
0.17% of total
731
Protected Accounts
7.31% of total
8 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 |
|---|---|---|---|
| @CapucineAnav | 1,038,489 | TV Personality | Tv, Radio, Chroniqueuse |
| @funradio_fr | 739,013 | Radio Host | Music, Entertainment, Radio |
| @B_Castaldi | 719,845 | TV Host | TV, Production, Animation |
| @PleasureEllis | 680,250 | Entertainer | Music, Transformation, Celebration |
| @LamineGuirassy | 364,267 | Journalist | media, journalism, broadcasting |
| @PatSebastien | 305,423 | Entertainer | Entertainment, Music, Comedy |
| @BrunoGUILLONOff | 294,248 | Animateur | radio, télévision, travail |
| @Sadenss | 268,999 | Philosopher | N/A |
| @supermegadrivin | 232,726 | Comedian | Comedy, Future, Marty McFly |
| @caroithurbide | 143,415 | TV Host | TV, entertainment, C8 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,172
Followers With Bio
5,828
Followers Without Bio
41.72%
% With Bio
58.28%
% 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 807 analyzed3,660,367
Combined Engagement
1,367
Total Likes
3,659,000
Total Retweets
732,073
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @yousuck2020: ZOZOTOWN新春セールが史上最速で取扱高100億円を先ほど突破！！日頃の感謝を込め、僕個人から100名様に100万円【総額1億円のお年玉】を現金でプレゼントします。応募方法は、僕をフォローいただいた上、このツイートをRTするだけ。受付は1/7まで。当選者には僕から直接DMします！ #月に行くならお年玉 https://t.co/cKQfPPbOI3
En mode #REDtour avec @MPOFFICIAL #ZenithParis 👏👏👏 bravo spectacle de ouf à voir très vite !!!! http://t.co/ASrapK4d0C
RT @cauetofficiel: Message de moi http://t.co/4sroeNqaPd
RT @gueguette_nrj: @booba je te prends quand tu veux
@Loris_Giuliano juste avant l'émission en mode @KeenvOfficiel @cauetofficiel @JulieOfficiel26 http://t.co/qk8elhFhCL
Key Insights & Takeaways
He frequently collaborates with other influencers and media personalities, which likely drives engagement. His content is centered around live events and celebrity appearances, suggesting a focus on real-time entertainment. He uses hashtags and links to promote events, indicating a strategy for audience interaction and event promotion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 68,757
- + 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 @jeremyoff28 reveals an exceptionally influential Twitter presence with 68,757 followers. The account demonstrates a content-creator strategy, averaging 4,569.8 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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