chriSabin
79,332
Followers
1,367
Following
4,719
Tweets
153.6
Avg Engagement
341
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuperChrisSabin'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:2011-05-09
- Verification:No
- Location:Michigan, USA
Data Summary
- Tweets Analyzed:3,176
- Avg Likes per Tweet:92.1
- Avg Retweets per Tweet:61.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,176 tweetsHis tweets receive a steady amount of likes and retweets, indicating a loyal and active fan base. The engagement rate suggests a balance between personal content and wrestling-related updates.
92.1
Avg Likes/Tweet
61.5
Avg Retweets/Tweet
292,404
Total Likes
195,349
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
12
Median Retweets
83
75th Percentile
36,568
Top Tweet
1.94
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26.2%
Original
13.4%
Replies
49.9%
Retweets
10.5%
Quotes
0.0%
Threads
0.3%
With Media
67.9%
With Links
39.1%
With #Tags
69.1%
With @Mentions
4.6%
With Emojis
118
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,176 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 1,584 retweets (50% 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 3,176 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 primarily wrestling fans and followers interested in his career and personal updates. There is also a notable presence of fans who appreciate his storytelling and authenticity.
Average
Audience Quality
25.0%
Suspicion Index
21.8%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
18.9%
<10 Tweets
21.3%
Mass Following (>2K)
0.0%
New (<90 days)
58.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.0%
No URL
11.4%
<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.
21,501,297
Total Potential Reach
71
Median Follower Reach
232
75th Percentile Reach
7.0%
>1K followers
1.2%
>10K followers
0.4%
>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).
62.0%
Creators
6,197 accounts
19.1%
Consumers
1,909 accounts
18.9%
Dormant
1,894 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):
127
Verified Followers
1.27% of total
763
Protected Accounts
7.63% 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 |
|---|---|---|---|
| @RandyOrton | 6,303,165 | Wrestler | Wrestling, Family, Champion |
| @IAmJericho | 3,585,599 | Wrestler | Wrestling, Music, Comedy |
| @AEW | 925,701 | Wrestling | Wrestling, TNT, YouTube |
| @MariaLKanellis | 467,510 | Wrestler | Pro Wrestling, Impact Wrestling, Diverse Content |
| @zammit_marc | 385,797 | Filmmaker | Film, Acting, Producing |
| @realfredrosser | 365,367 | Wrestler | WWE, Fitness, Trailblazer |
| @garyhgoodridge | 362,934 | Fighter | UFC, Arm Wrestling, Mental Health |
| @MiaYim | 331,296 | Wrestler | Wrestling, Streaming, Voice Acting |
| @ImChelseaGreen | 325,756 | Wrestler | podcasting, stuntwork, wrestling |
| @AustinAries | 296,050 | Pro Wrestler | Pro Wrestling, Food, Health |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,777
Followers With Bio
3,223
Followers Without Bio
67.77%
% With Bio
32.23%
% 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 3,176 analyzed82,925
Combined Engagement
8,423
Total Likes
74,502
Total Retweets
16,585
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @MikeTyson: Seemed like a good idea to ride my daughter #milantyson #cyboard #hoverboard but guess not... https://t.co/Cjn4s22E5l
RT @muto_keiji: Twitter
RT @HamillHimself: This is an Internet emergency. Less than 48 hours left until the vote to kill #NetNeutrality. #BreakTheInternet to demand that Congress #StopTheFCC. Take action: https://t.co/AnDjaPOQPM via @IDLtweets
RT @dodo: What even ARE cats??? Happy #InternationalCatDay! 🐱 https://t.co/YZRdDJd0Iv
I’m a lucky guy. https://t.co/MVH0hR40yy
Key Insights & Takeaways
He frequently shares personal milestones and career highlights, which resonate with his audience. His content includes both humorous and heartfelt moments, which helps maintain a connection with followers. He often references specific wrestling events and rivalries, which appeals to dedicated wrestling fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 79,332
- + 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 @SuperChrisSabin reveals an well-established Twitter presence with 79,332 followers. The account demonstrates a content-creator strategy, averaging 153.6 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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