Tony Allen
Chicago Bred. 2008 NBA Champion. 6x NBA All-Defensive Team. 2004 Big 12 Player of the Year. #GNG
246,113
Followers
1,750
Following
31,377
Tweets
260.9
Avg Engagement
1,282
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @aa000G9'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:2011-03-07
- Verification:No
- Location:On the Grind.
Data Summary
- Tweets Analyzed:2,833
- Avg Likes per Tweet:84.3
- Avg Retweets per Tweet:176.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,833 tweetsaa000G9's tweets receive high engagement, with an average of 5,765 likes and 1,026 retweets per post. His content is well-received and widely shared within the basketball community.
84.3
Avg Likes/Tweet
176.6
Avg Retweets/Tweet
238,833
Total Likes
500,304
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
4
Median Retweets
59
75th Percentile
100,112
Top Tweet
1.06
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
41.8%
Original
24.0%
Replies
24.3%
Retweets
9.9%
Quotes
0.0%
Threads
0.1%
With Media
45.4%
With Links
16.4%
With #Tags
51.5%
With @Mentions
65.3%
With Emojis
57
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.5%
Weekday Posts
21.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,833 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 688 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 2,833 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 basketball fans and followers of NBA news. The content appeals to both casual fans and dedicated sports enthusiasts.
Average
Audience Quality
34.4%
Suspicion Index
44.0%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
44.7%
<10 Tweets
11.7%
Mass Following (>2K)
0.0%
New (<90 days)
73.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.9%
No URL
35.4%
<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.
62,811,221
Total Potential Reach
10
Median Follower Reach
85
75th Percentile Reach
3.1%
>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).
38.5%
Creators
19,239 accounts
16.9%
Consumers
8,430 accounts
44.7%
Dormant
22,331 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):
180
Verified Followers
0.18% of total
7,009
Protected Accounts
6.94% 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 | 14,101,228 | Wrestler | Wrestling, Motivation, Self-promotion |
| @DwyaneWade | 9,602,472 | Athlete | Fatherhood, Basketball, Philanthropy |
| @factsionary | 5,282,607 | - | - |
| @JaMorant | 2,703,813 | Basketball Player | Basketball, KaariJ, TrainedToGo |
| @incredibleviews | 2,116,497 | Influencer | Positive Vibes, Motivation, Inspiration |
| @6BillionPeople | 2,034,930 | - | - |
| @zlj517 | 1,985,520 | Spokesman | Geopolitics, Diplomacy, Communication |
| @SInow | 1,858,736 | Sports Media | Sports, TikTok, Instagram |
| @KameronBennett | 1,814,088 | DJ | Music, DJing, Booking |
| @Chris_Broussard | 1,437,804 | Sports Analyst | Sports, Media, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,795
Followers With Bio
61,203
Followers Without Bio
39.4%
% With Bio
60.6%
% 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 2,833 analyzed256,320
Combined Engagement
32,755
Total Likes
223,565
Total Retweets
51,264
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @SupremeDreams_1: UPS Orientations Gotta be like..😂😭💀 https://t.co/W0kctJgIzv
RT @FreakyTheory: http://t.co/a7t5PPZCiy
🤷♂️ https://t.co/OkIrovWUID
RT @FreakyTheory: http://t.co/NEdp7beWS0
RT @FreakyTheory: http://t.co/Za5XpY2JFF
Key Insights & Takeaways
He frequently shares congratulatory messages for player achievements, showing support for his peers. He often analyzes game moments, providing commentary on player decisions and game flow. He uses hashtags and mentions to engage with fans and honor legends like Kobe Bryant.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 246,113
- + 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 @aa000G9 reveals an well-established Twitter presence with 246,113 followers. The account demonstrates a content-creator strategy, averaging 260.9 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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