James Harrison
2x Super Bowl Champ • Super Bowl Record Longest INT-TD • 2008 DPOY • Steelers AllTime Sack Record • 5x ProBowl • 4x AFC Champ @deebogear @optimumefx @HeelsSTARZ
627,484
Followers
399
Following
7,336
Tweets
307.3
Avg Engagement
2,575
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jharrison9292'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:2010-12-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:243.8
- Avg Retweets per Tweet:63.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is relatable and often sparks discussion.
243.8
Avg Likes/Tweet
63.5
Avg Retweets/Tweet
780,213
Total Likes
203,179
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
3
Median Retweets
113
75th Percentile
66,766
Top Tweet
0.49
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
88.8%
Original
4.6%
Replies
4.4%
Retweets
2.2%
Quotes
0.0%
Threads
1.7%
With Media
92.8%
With Links
34.8%
With #Tags
31.8%
With @Mentions
31.4%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 140 retweets (4% 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 3,200 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 50,000 followersHis followers likely include sports fans, former teammates, and fans of his NFL career. The audience also includes individuals interested in his personal life and opinions.
Average
Audience Quality
28.6%
Suspicion Index
34.7%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.9%
Empty Bio
33.5%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
65.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
22.6%
<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.
33,400,294
Total Potential Reach
16
Median Follower Reach
82
75th Percentile Reach
2.9%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
43.7%
Creators
21,867 accounts
22.7%
Consumers
11,360 accounts
33.5%
Dormant
16,773 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):
682
Verified Followers
0.68% of total
10,335
Protected Accounts
10.23% of total
6 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 |
|---|---|---|---|
| @steelers | 3,747,717 | Sports Team | football, champions, Pittsburgh |
| @CMPunk | 2,670,943 | Wrestler | Wrestling, Coaching, Straight edge |
| @StephenAmell | 2,268,328 | - | - |
| @KameronBennett | 1,812,052 | DJ | Music, DJing, Booking |
| @JASMINEVILLEGAS | 1,546,202 | Singer | Music, Dreaming, Life |
| @RexChapman | 1,255,216 | Commentator | Basketball, Horse racing, Commentary |
| @PFF | 1,240,879 | Sports Analyst | NFL, NCAA, Analytics |
| @JDaIey | 1,227,897 | - | - |
| @WhistleBlitz | 1,156,317 | - | - |
| @wingoz | 992,637 | Sports Analyst | Sports, Podcasting, Quarterbacks |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,784
Followers With Bio
48,215
Followers Without Bio
52.26%
% With Bio
47.74%
% 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 3,200 analyzed235,867
Combined Engagement
173,275
Total Likes
62,592
Total Retweets
47,173
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
Me realizing why I had 150 text messages this morning. 🤯😂 https://t.co/KmfYilqpbG
That’s assault at the least... 6 months in jail on the street.. now add the weapon and that’s at least a year right?!
RT @unhealthytruth: Probably the best video about what happened in Pennsylvania/Ohio and it’s pretty mind blowing. https://t.co/VbG0kzplRs
Finally... A teammate that’s older than me!😂😂 tombrady @ Gillette Stadium https://t.co/khuaV0suw0
That's my quarterback. 💯 It was a privilege to be your teammate and a great honor to call you my brother. #BigBen #family https://t.co/Qenw2XQxuw
Key Insights & Takeaways
He frequently shares personal anecdotes and reflections, which resonate with his audience. His tweets often touch on legal and social issues, showing a broader interest beyond sports. He uses humor and emotional language to connect with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 627,484
- + 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 @jharrison9292 reveals an well-established Twitter presence with 627,484 followers. The account demonstrates a content-creator strategy, averaging 307.3 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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