Aaron Williams
#StayWavy🌊
96,587
Followers
1,178
Following
44,654
Tweets
709.5
Avg Engagement
581
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ajwilliams23'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:2010-11-08
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:3,173
- Avg Likes per Tweet:62.7
- Avg Retweets per Tweet:646.8
- Followers Analyzed:10,996
Engagement Analysis
Based on 3,173 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and support.
62.7
Avg Likes/Tweet
646.8
Avg Retweets/Tweet
199,032
Total Likes
2,052,279
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
28
75th Percentile
340,712
Top Tweet
7.35
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
21.3%
Original
52.9%
Replies
12.3%
Retweets
13.5%
Quotes
0.0%
Threads
0.4%
With Media
28.4%
With Links
16.6%
With #Tags
71.2%
With @Mentions
43.7%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.49
Reply/Original Ratio
1.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.9%
Weekday Posts
33.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,173 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 389 retweets (12% 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 3,173 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 10,996 followersTheir audience is primarily composed of fellow Buffalo Bills fans who appreciate their loyalty and enthusiasm.
Average
Audience Quality
23.8%
Suspicion Index
26.2%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.6%
Empty Bio
22.2%
<10 Tweets
15.6%
Mass Following (>2K)
0.0%
New (<90 days)
51.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
13.9%
<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.
28,918,862
Total Potential Reach
47
Median Follower Reach
224
75th Percentile Reach
7.0%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.5%
Creators
6,213 accounts
21.3%
Consumers
2,344 accounts
22.2%
Dormant
2,439 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):
112
Verified Followers
1.02% of total
955
Protected Accounts
8.68% 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 |
|---|---|---|---|
| @JohnCena | 14,093,020 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BuffaloBills | 1,706,992 | Sports Team | football, sports, Buffalo |
| @RexChapman | 1,253,780 | Commentator | Basketball, Horse racing, Commentary |
| @ZachBoychuk | 827,935 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @JerryRice | 687,049 | Athlete | Football, Author, Entrepreneur |
| @PlayersTribune | 642,424 | Sports Media | Sports, Olympics, Athletes |
| @TitusONeilWWE | 618,544 | Wrestler | WWE, Fatherhood, Entertainment |
| @Bridget | 490,978 | Podcaster | Reality TV, Beaches, Paranormal |
| @Moreno | 430,936 | Influencer | Business, Manager, Serious |
| @StevieJohnson13 | 318,062 | Athlete | Business, Fun, Adventure |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,756
Followers With Bio
4,242
Followers Without Bio
61.43%
% With Bio
38.57%
% 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 3,173 analyzed812,838
Combined Engagement
0
Total Likes
812,838
Total Retweets
162,568
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Wendys: Y’all keep asking, so here’s your chance. The people in charge say if you guys can get our tweet (this one right here) to 2 Million likes, they will bring SPICY CHICKEN NUGGETS BACK. Let’s freakin’ do this! https://t.co/qrtvWXjj9V
RT @StephenCurry30: Night Night https://t.co/fIMwW4eeSk
RT @IkoroduB: We love this song so much so we did our version, Please retweet😭🙏 till @RoddyRicch sees this https://t.co/leP92KOv2w
RT @theweeknd: album mode full effect https://t.co/ywnD18kF29
RT @theweeknd: we don’t deserve dogs.
Key Insights & Takeaways
They are deeply committed to their Buffalo Bills fandom and express a lot of emotional connection to the team. Their content is highly personal and expressive, showing a strong sense of community and belonging. They often use hashtags and emojis to enhance their messages and connect with like-minded fans.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,587
- + 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 @ajwilliams23 reveals an well-established Twitter presence with 96,587 followers. The account demonstrates a conversation-first approach, averaging 709.5 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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