Peter Jennings
Building @LuckyTraderHQ @UnabatedSports @EstablishTheRun @TheSolverSports. Founded & sold @FantasyLabs @ActionNetworkHQ.
92,420
Followers
6,510
Following
25,500
Tweets
974.9
Avg Engagement
2,324
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CSURAM88'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:2012-10-12
- Verification:No
- Location:Denver
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:15.4
- Avg Retweets per Tweet:959.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,236 tweetsTheir tweets receive a high number of likes and retweets, showing strong audience interaction. They often share personal updates and opinions that resonate with their followers.
15.4
Avg Likes/Tweet
959.5
Avg Retweets/Tweet
49,712
Total Likes
3,104,957
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
33
75th Percentile
546,563
Top Tweet
10.55
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
12.6%
Original
42.4%
Replies
35.1%
Retweets
10.0%
Quotes
0.0%
Threads
0.3%
With Media
49.9%
With Links
3.5%
With #Tags
81.6%
With @Mentions
13.4%
With Emojis
107
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.36
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 1,135 retweets (35% 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 3,236 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 is primarily interested in sports, fantasy sports, and related topics. They engage with followers who are passionate about sports analytics and commentary.
Average
Audience Quality
23.2%
Suspicion Index
25.9%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
23.7%
<10 Tweets
18.2%
Mass Following (>2K)
0.0%
New (<90 days)
44.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.6%
No URL
16.6%
<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.
26,284,403
Total Potential Reach
69
Median Follower Reach
441
75th Percentile Reach
16.2%
>1K followers
3.8%
>10K followers
1.0%
>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).
57.6%
Creators
5,758 accounts
18.7%
Consumers
1,868 accounts
23.7%
Dormant
2,374 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):
720
Verified Followers
7.2% of total
536
Protected Accounts
5.36% of total
5 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 |
|---|---|---|---|
| @gabrielleydon | 1,165,168 | - | - |
| @igorlenterman | 654,234 | - | - |
| @joelcomm | 639,908 | Entrepreneur | NFTs, Internet, Author |
| @CryptoKaleo | 588,809 | Crypto Trader | Bitcoin, Crypto, Options |
| @IamMzilikazi | 550,605 | Musician | Pan-African music, Album, Rise |
| @DaveVescio | 538,372 | Actor | Movies, Art, Transformation |
| @MarioNawfal | 472,541 | - | - |
| @MissNicollet | 421,994 | Golfer | Golf, Fitness, Cars |
| @ladycryptook | 402,630 | Crypto Promoter | Management, Crypto, Blockchain |
| @niftygateway | 261,068 | Digital Art Marketplace | Digital art, collectibles, platform |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,472
Followers With Bio
3,528
Followers Without Bio
64.72%
% With Bio
35.28%
% 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 3,236 analyzed1,666,855
Combined Engagement
0
Total Likes
1,666,855
Total Retweets
333,371
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: 🚀💫♥️ Yesss!!! ♥️💫🚀 https://t.co/0T9HzUHuh6
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @OGBTC: Some real life stuff here. "Success isn't linear" by Yoann Bourgeois https://t.co/GQJj4ztXWM
Key Insights & Takeaways
They are actively involved in multiple sports-related ventures and brands. Their content often includes personal achievements and financial updates. They engage in controversial discussions, particularly around sports and gender issues.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 92,420
- + 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 @CSURAM88 reveals an well-established Twitter presence with 92,420 followers. The account demonstrates a conversation-first approach, averaging 974.9 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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