AD_99
Former Pitt Football Player #97 NFL D Lineman for the Rams #99
158,305
Followers
386
Following
4,327
Tweets
215.8
Avg Engagement
680
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AaronDonald97'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:2012-04-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,151
- Avg Likes per Tweet:60.7
- Avg Retweets per Tweet:155.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,151 tweetsHis tweets receive an average of 11,296 likes and 978 retweets, indicating strong audience interaction. The verified status of 0.7% suggests a mix of personal and professional followers.
60.7
Avg Likes/Tweet
155.0
Avg Retweets/Tweet
191,347
Total Likes
488,505
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
11
Median Retweets
98
75th Percentile
53,915
Top Tweet
1.36
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
6.9%
Original
12.8%
Replies
79.5%
Retweets
0.9%
Quotes
0.0%
Threads
0.7%
With Media
50.8%
With Links
34.7%
With #Tags
95.2%
With @Mentions
28.0%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.87
Reply/Original Ratio
0.01
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 3,151 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 2,504 retweets (79% 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 50,000 followersHis audience primarily consists of sports fans and former athletes interested in his journey. They engage with his content through likes and retweets, showing interest in his personal and professional updates.
Average
Audience Quality
26.9%
Suspicion Index
32.3%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.1%
Empty Bio
32.3%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
59.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.0%
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.
51,582,121
Total Potential Reach
23
Median Follower Reach
118
75th Percentile Reach
3.7%
>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).
46.3%
Creators
23,168 accounts
21.3%
Consumers
10,673 accounts
32.3%
Dormant
16,159 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):
722
Verified Followers
0.71% of total
10,891
Protected Accounts
10.78% 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 |
|---|---|---|---|
| @JohnCena | 14,100,929 | Wrestler | Wrestling, Motivation, Self-promotion |
| @1future | 7,681,237 | Rapper | Music, Freebandz, Future |
| @RealMikeWilbon | 4,704,041 | Sports Analyst | Sports, Analysis, Columnist |
| @RickWarren | 2,256,328 | Pastor | Faith, Purpose, Church |
| @JalenRose | 1,803,007 | Analyst | Basketball, Education, Media |
| @KennyHamilton | 1,790,445 | Manager | Music, Management, Entertainment |
| @peter_king | 1,784,413 | Sports Journalist | Sports, News, Analysis |
| @BarstoolBigCat | 1,644,900 | Sports commentator | Sports, Podcasting, Gambling |
| @overtime | 1,629,888 | Media | Sports, Entertainment, Lifestyle |
| @latelateshow | 1,554,686 | Entertainment | Entertainment, Comedy, Music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,148
Followers With Bio
39,849
Followers Without Bio
60.54%
% With Bio
39.46%
% 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 3,151 analyzed172,232
Combined Engagement
93,697
Total Likes
78,535
Total Retweets
34,446
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @Lakers: After 39 years, the NBA has a new #ScoringKing Salute, @kingjames. https://t.co/NSJqD1kobN
Officially a Pitt graduate 👨🏽🎓 https://t.co/3zPfadJ3XI
Mood https://t.co/PXGXCrjRgh
https://t.co/5FHgl3JxNk
RT @thechozen1_: They tried to cut bra mic off, he was talking too spicy 🔥 https://t.co/e6qDIVA4B7
Key Insights & Takeaways
He leverages his personal milestones, such as graduation, to connect with his audience. His content includes a mix of personal reflections and career updates, which keeps his audience engaged. He maintains a balance between sharing personal life and professional achievements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 158,305
- + 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 @AaronDonald97 reveals an well-established Twitter presence with 158,305 followers. The account demonstrates a conversation-first approach, averaging 215.8 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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