Aaron Nagler
Co-founder, @cheeseheadtv. 1/2 of @motel_men. Lotta ballgame left.
115,319
Followers
1,969
Following
310,441
Tweets
131.5
Avg Engagement
2,716
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AaronNagler'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:2008-10-24
- Verification:No
- Location:NYC
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:84.2
- Avg Retweets per Tweet:47.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received, with a focus on in-depth analysis and storytelling.
84.2
Avg Likes/Tweet
47.3
Avg Retweets/Tweet
273,517
Total Likes
153,752
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
74
75th Percentile
19,510
Top Tweet
1.14
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
14.5%
Original
42.5%
Replies
23.8%
Retweets
19.2%
Quotes
0.0%
Threads
0.2%
With Media
58.5%
With Links
15.5%
With #Tags
71.6%
With @Mentions
5.1%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.93
Reply/Original Ratio
0.81
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.2%
Weekday Posts
23.8%
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 772 retweets (24% 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 likely includes NFL fans, sports analysts, and individuals interested in player narratives and game strategy. The engagement metrics suggest a dedicated and active community of followers.
Average
Audience Quality
28.0%
Suspicion Index
38.4%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.8%
Empty Bio
34.9%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
53.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
24.1%
<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.
5,478,094
Total Potential Reach
22
Median Follower Reach
108
75th Percentile Reach
4.1%
>1K followers
0.5%
>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).
41.8%
Creators
4,176 accounts
23.4%
Consumers
2,339 accounts
34.9%
Dormant
3,485 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):
131
Verified Followers
1.31% of total
862
Protected Accounts
8.62% 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 |
|---|---|---|---|
| @SinghLions | 1,330,951 | Restaurateur | Food, Travel, Influencer |
| @newyorkgrimaldi | 183,343 | Chef | New York, Pizza, Food |
| @AlexMacielMusic | 173,441 | Musician | Music, Songwriting, Fashion |
| @jimrosecircus1 | 166,365 | Circus Performer | Circus performer, actor, author, music, @Suns, minimal carbon footprint |
| @KyleDHester | 133,065 | Actor/Filmmaker | Films, Anti-racism, Paganism |
| @travisa850 | 129,425 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @MelissaOnline | 122,209 | Entrepreneur | Entrepreneurship, Coffee, Action |
| @afowler06 | 110,429 | Professional Boxer | Boxing, Olympics, Professional Fighting |
| @exoticgamora | 97,980 | Activist | Human rights, Civil rights, Kindness |
| @KurtBenkert | 97,643 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,721
Followers With Bio
5,279
Followers Without Bio
47.21%
% With Bio
52.79%
% 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 3,249 analyzed60,701
Combined Engagement
0
Total Likes
60,701
Total Retweets
12,140
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @CardChronicle: Fake arguing with your coach to distract the defense before throwing a half-look pass for a reverse alley-oop to break a 92-92 tie in the final minute of OT in a Sweet 16 game at MSG might be the coolest shit I’ve ever seen https://t.co/10E8CJEvkW
RT @AdamSchefter: Confirming Aaron Rodgers’ report: https://t.co/XRhhd58Qm5
RT @actioncookbook: we do this for a matchup between two 3-8 AFC South teams https://t.co/sGptvFlp6n
RT @jasondashbailey: Twitter is, occasionally, still good https://t.co/3CG4mWUyk8
RT @historyinmemes: In 1985, the police sent free Super Bowl tickets to wanted criminals just to arrest them when they arrived to the stadium https://t.co/HhbyJRJKox
Key Insights & Takeaways
Nagler often shares news about NFL documentaries and player stories, which suggests a focus on narrative and behind-the-scenes content. He frequently mentions specific players and their performances, indicating a deep interest in individual player development and impact. His tweets often reflect on game moments and player strategies, showing a keen analytical approach to sports content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 115,319
- + 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 @AaronNagler reveals an well-established Twitter presence with 115,319 followers. The account demonstrates a conversation-first approach, averaging 131.5 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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