Jim Nagy
Husband / Dad / Executive Director Reese's Senior Bowl / 18-year NFL Scout/ 6x Super Bowl participant (4x SB champ) / Michigan Alum
129,368
Followers
2,000
Following
22,483
Tweets
154.8
Avg Engagement
1,265
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JimNagy_SB'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:2018-08-16
- Verification:No
- Location:📍Mobile, AL
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:114.6
- Avg Retweets per Tweet:40.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is both informative and entertaining.
114.6
Avg Likes/Tweet
40.2
Avg Retweets/Tweet
372,290
Total Likes
130,731
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
6
Median Retweets
94
75th Percentile
49,746
Top Tweet
1.2
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
24.5%
Original
41.5%
Replies
26.6%
Retweets
7.4%
Quotes
0.0%
Threads
0.0%
With Media
53.6%
With Links
34.9%
With #Tags
87.5%
With @Mentions
27.4%
With Emojis
159
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.69
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 865 retweets (27% 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 3,249 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 followersHis audience includes football fans, scouts, and college players interested in NFL prospects. They engage with his content through likes and retweets.
Average
Audience Quality
24.0%
Suspicion Index
31.5%
Low-Quality %
51
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.3%
Empty Bio
28.6%
<10 Tweets
11.7%
Mass Following (>2K)
0.0%
New (<90 days)
45.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.9%
No URL
19.6%
<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.
10,487,452
Total Potential Reach
51
Median Follower Reach
221
75th Percentile Reach
7.3%
>1K followers
1.2%
>10K followers
0.2%
>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).
51.3%
Creators
5,132 accounts
20.0%
Consumers
2,004 accounts
28.6%
Dormant
2,864 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):
222
Verified Followers
2.22% of total
867
Protected Accounts
8.67% 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 |
|---|---|---|---|
| @LeBronJames | 1,005,125 | - | - |
| @CollinsworthPFF | 645,119 | Sportscaster | Football, Analysis, Podcast |
| @mkraju | 636,000 | Journalist | Politics, Chicago sports, Wisconsin Badgers |
| @heykayadams | 590,906 | Sports Analyst | sports, football, fantasy sports |
| @DougBaldwinJr | 542,469 | Athlete | Family, Improvement, Dedication |
| @EvanKirstel | 346,945 | Tech Influencer | Tech, B2B, Social media |
| @DilfersDimes | 331,844 | Football Coach | Football, Coaching, Leadership |
| @SatDownSouth | 316,609 | Sports Media | College football, SEC, Coverage |
| @Crazy_ButCute2 | 237,641 | Influencer | Nerdy, dirty, inked |
| @UMGoBlog | 225,503 | Sports Blogger | Michigan Football, UMGoBlue, Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,668
Followers With Bio
4,332
Followers Without Bio
56.68%
% With Bio
43.32%
% 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 3,249 analyzed83,786
Combined Engagement
31,376
Total Likes
52,410
Total Retweets
16,757
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
Have watched lots of @seniorbowl 1-on-1’s over the years, not sure we’ve ever seen this scissor move release. 👀 If you haven’t figured it out yet, Tank Dell is just different. #TheDraftStartsInMOBILE™️ https://t.co/jjVfMCI1gr
With 7-foot-5 reach & light feet like this, how are rushers supposed to get around Ohio State’s Dawand Jones? We’ve had numerous NFL scouts tell us he’s a better version of Chiefs 4x Pro Bowler Orlando Brown Jr. (and we agree). Sounds like 1st rounder. #TheDraftStartsInMOBIL
No QB has done more with less this season than Daniel Jones.
Someone in Cali please explain what else, besides football, people are doing on Saturday afternoons in the fall. Whatever it is, that’s what Saturdays in the winter, spring, and summer are for. https://t.co/vQbVuKucWQ
Key Insights & Takeaways
He provides unique perspectives from his experience as an NFL scout and Senior Bowl director. He often highlights unusual or impressive plays, such as the scissor move release. He uses humor and curiosity to engage his audience and spark discussion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 129,368
- + 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 @JimNagy_SB reveals an well-established Twitter presence with 129,368 followers. The account demonstrates a conversation-first approach, averaging 154.8 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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