Orange Foul Pole
NY Mets fan
56,400
Followers
4,819
Following
10,657
Tweets
2,558.2
Avg Engagement
1,088
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @friedmanjon'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:2008-09-08
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,166
- Avg Likes per Tweet:31.8
- Avg Retweets per Tweet:2,526.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,166 tweetsThe account shows high engagement with an average of 7,349 likes and 1,799 retweets per tweet. The use of links suggests a focus on sharing multimedia content that resonates with followers.
31.8
Avg Likes/Tweet
2,526.4
Avg Retweets/Tweet
100,803
Total Likes
7,998,534
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
52
75th Percentile
278,264
Top Tweet
45.36
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
37.3%
Original
22.1%
Replies
30.5%
Retweets
10.0%
Quotes
0.0%
Threads
0.4%
With Media
36.6%
With Links
9.9%
With #Tags
50.4%
With @Mentions
2.6%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,166 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 966 retweets (31% 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 3,166 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 followersThe audience appears to be interested in sports, particularly baseball, and enjoys content that blends nostalgia with modern media. They also seem to appreciate thought-provoking quotes and creative content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
120
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)
67.8%
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.
189,553,575
Total Potential Reach
120
Median Follower Reach
495
75th Percentile Reach
17.9%
>1K followers
7.1%
>10K followers
3.4%
>50K followers
2.2%
>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
1,028
Protected Accounts
10.28% of total
11 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 |
|---|---|---|---|
| @MTV | 17,548,598 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,090,469 | Wrestler | Wrestling, Motivation, Self-promotion |
| @chrissyteigen | 12,772,651 | - | - |
| @enews | 11,809,606 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @MTVNEWS | 4,959,381 | Entertainment | Entertainment, News, Social |
| @amyschumer | 4,253,580 | - | - |
| @MCHammer | 3,140,785 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @LastWeekTonight | 3,033,093 | Comedy News | News, Comedy, TV |
| @Variety | 2,919,780 | Entertainment industry | Entertainment, Business, Variety |
| @benlandis | 2,820,590 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,901
Followers With Bio
3,099
Followers Without Bio
69.01%
% With Bio
30.99%
% 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 3,166 analyzed1,100,951
Combined Engagement
0
Total Likes
1,100,951
Total Retweets
220,190
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @BarackObama: Vote.
RT @romainrevert: Due to less air pollution the sky is so clear ! I can see the Universal logo ! https://t.co/EqiqIDL4JJ
RT @jdpoc: The actual people from *THAT* meme, 10 years on ... . https://t.co/SjW7PAwMbk
RT @maxbrooksauthor: A message from me and my dad, @Melbrooks. #coronavirus #DontBeASpreader https://t.co/Hqhc4fFXbe
RT @sarahcpr: How to medical https://t.co/0EDqJcy38p
Key Insights & Takeaways
The account frequently shares videos and links, indicating a preference for visual and interactive content. The use of quotes and references suggests an audience that values intellectual and nostalgic content. The high engagement levels imply a loyal and active follower base that interacts regularly with the content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,400
- + 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 @friedmanjon reveals an exceptionally influential Twitter presence with 56,400 followers. The account demonstrates a content-creator strategy, averaging 2,558.2 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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