Jamar Cain
IN THE PURSUIT OF HAPPINESS/ Denver Broncos
20,128
Followers
1,027
Following
274
Tweets
650.2
Avg Engagement
40
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @coachjcain'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:2013-02-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:244
- Avg Likes per Tweet:188.0
- Avg Retweets per Tweet:462.1
- Followers Analyzed:20,608
Engagement Analysis
Based on 244 tweetsCoach JCain's tweets consistently receive high engagement, indicating a loyal and active audience. The use of hashtags and links to external content also contributes to his interactive presence on the platform.
188.0
Avg Likes/Tweet
462.1
Avg Retweets/Tweet
45,881
Total Likes
112,758
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
18
Median Retweets
346
75th Percentile
46,885
Top Tweet
32.3
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
10.7%
Original
8.6%
Replies
59.8%
Retweets
20.9%
Quotes
0.0%
Threads
0.0%
With Media
65.6%
With Links
21.3%
With #Tags
80.7%
With @Mentions
25.8%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.81
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.2%
Weekday Posts
32.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 244 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 146 retweets (60% 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 244 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 20,608 followersHis audience appears to be primarily sports fans, especially those interested in football and college athletics. The mention of LSU and Sooner Nation suggests a strong connection to college football communities.
Good
Audience Quality
15.0%
Suspicion Index
11.7%
Low-Quality %
254
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
19.6%
Empty Bio
7.3%
<10 Tweets
25.8%
Mass Following (>2K)
0.0%
New (<90 days)
22.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.1%
No URL
3.8%
<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.
39,070,447
Total Potential Reach
254
Median Follower Reach
665
75th Percentile Reach
17.7%
>1K followers
2.5%
>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).
74.1%
Creators
15,269 accounts
18.6%
Consumers
3,839 accounts
7.3%
Dormant
1,500 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):
655
Verified Followers
3.18% of total
1,293
Protected Accounts
6.27% 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 |
|---|---|---|---|
| @Broncos | 2,771,629 | Sports Team | Football, Super Bowl, Champions |
| @JRsBBQ | 1,740,136 | Wrestling Commentator | Wrestling, Podcasting, BBQ |
| @ColinCowherd | 1,624,317 | Sports Commentator | Sports, Media, Investing |
| @LSUfootball | 959,568 | Football | Football, Champions, GeauxTigers |
| @DanielNewman | 813,697 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
| @TomPelissero | 563,471 | Reporter | NFL, Sports, Family |
| @DeMarcoMurray | 492,958 | Coach | Football, Coaching, Faith |
| @Moreno | 430,160 | Influencer | Business, Manager, Serious |
| @BruceFeldmanCFB | 370,410 | Reporter | College Football, Sports Reporting, Writing |
| @lolojones | 368,456 | Athlete | movies, Olympics, Jesus |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
16,568
Followers With Bio
4,040
Followers Without Bio
80.4%
% With Bio
19.6%
% 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 244 analyzed87,085
Combined Engagement
8,412
Total Likes
78,673
Total Retweets
17,417
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @TupacShakurLC: On this day 22 years ago, Tupac performed Dear Mama live for the first and only time. https://t.co/MfiqfHk8QQ
RT @IAmSteveHarvey: Believe in you 💪🏾
RT @LilTunechi: Roll tide??????? Nahhhh roll one tf up for dem Tigers!!!!!!!! It’s up!!! We litty. Lidia!!!! LilWeezyana State University l…
RT @KingJames: FACTS!!!! Love to see it
It’s been a fun ride Sooner Nation https://t.co/MNau7Bj3VF
Key Insights & Takeaways
He frequently shares team-related updates and personal reflections, which resonate well with his followers. His content often includes references to specific teams and events, indicating a deep connection to the sports community. The use of verified accounts and hashtags helps in building credibility and increasing visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 20,128
- + 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 @coachjcain reveals an well-established Twitter presence with 20,128 followers. The account demonstrates a content-creator strategy, averaging 650.2 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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