Corey Clement
IG: yeroc_ | #AO1 | GOING FOR 6 | Former RB at Wisconsin |
117,250
Followers
497
Following
14,553
Tweets
500.7
Avg Engagement
295
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CoreyClement_6'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: Macro Influencer (100K+)
- Account Age:2010-05-26
- Verification:No
- Location:Glassboro Nj,
Data Summary
- Tweets Analyzed:3,151
- Avg Likes per Tweet:120.4
- Avg Retweets per Tweet:380.4
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,151 tweetsHis tweets consistently receive high likes and retweets, indicating strong community support and resonance with his messages.
120.4
Avg Likes/Tweet
380.4
Avg Retweets/Tweet
379,232
Total Likes
1,198,611
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
21
75th Percentile
210,893
Top Tweet
4.27
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
56.2%
Original
16.6%
Replies
25.3%
Retweets
2.0%
Quotes
0.0%
Threads
0.2%
With Media
22.2%
With Links
17.5%
With #Tags
51.5%
With @Mentions
21.4%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,151 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 797 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 3,151 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 9,998 followersHis followers likely include sports fans, former teammates, and supporters of Wisconsin football, with a focus on engagement through shared experiences and pride.
Average
Audience Quality
24.8%
Suspicion Index
27.3%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.9%
Empty Bio
22.9%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
57.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.9%
No URL
14.6%
<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.
16,136,465
Total Potential Reach
34
Median Follower Reach
139
75th Percentile Reach
4.6%
>1K followers
0.7%
>10K followers
0.2%
>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).
54.1%
Creators
5,405 accounts
23.0%
Consumers
2,302 accounts
22.9%
Dormant
2,291 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):
60
Verified Followers
0.6% of total
1,020
Protected Accounts
10.2% 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 |
|---|---|---|---|
| @dallascowboys | 4,368,647 | Sports Team | Football, Champions, Spanish Content |
| @JimmyKimmelLive | 2,099,905 | TV Host | Comedy, Entertainment, Fun |
| @Ravens | 1,852,860 | Sports Team | football, community, promotions |
| @AZCardinals | 1,146,238 | Sports Team | Football, Content Creation, Humor |
| @mkraju | 635,982 | Journalist | Politics, Chicago sports, Wisconsin Badgers |
| @Simonna | 504,661 | Actress | Film & TV, Singer, Veggie lover |
| @Moreno | 430,993 | Influencer | Business, Manager, Serious |
| @fcoxx_91 | 306,912 | Football Player | Football, Small Town, Dream |
| @kattgarcia___ | 271,133 | - | - |
| @Schultz_Report | 203,291 | Sports Analyst | Sports, Analysis, Podcasts |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,011
Followers With Bio
3,989
Followers Without Bio
60.11%
% With Bio
39.89%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,151 analyzed618,609
Combined Engagement
42,272
Total Likes
576,337
Total Retweets
123,722
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @FloydMayweather: 50 - 0
RT @Drake: #VIEWS Tracklist https://t.co/6KLbbgzFSm
RT @militaryl0ve: If you can’t retweet this, you don’t really have a heart. http://t.co/IXYzPCuz
RT @FastFurious: Family will be broken. Watch THE FATE OF THE FURIOUS trailer now. #F8 is in theaters April 14. https://t.co/DkXX4UBsOw
Philly .... philly ... philly ... that was all for you ! Thank you ... see you at the parade *drops mic *
Key Insights & Takeaways
Corey Clement's content is heavily focused on team loyalty and personal milestones. He uses humor and emotional expressions to connect with his audience. His engagement is driven by a mix of personal achievements and team-related content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 117,250
- + 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 @CoreyClement_6 reveals an well-established Twitter presence with 117,250 followers. The account demonstrates a content-creator strategy, averaging 500.7 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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