Glenn Robinson III
University of Michigan to 8yrs NBA + Dunk Champ🏆
80,451
Followers
481
Following
6,331
Tweets
604.9
Avg Engagement
492
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GRIII'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:2011-06-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,127
- Avg Likes per Tweet:119.6
- Avg Retweets per Tweet:485.3
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,127 tweetsGRIII's tweets receive high engagement, averaging 13,195 likes and 4,486 retweets, indicating a highly interactive audience.
119.6
Avg Likes/Tweet
485.3
Avg Retweets/Tweet
374,022
Total Likes
1,517,597
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
9
Median Retweets
127
75th Percentile
351,150
Top Tweet
7.52
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
64.9%
Original
10.8%
Replies
20.6%
Retweets
3.6%
Quotes
0.0%
Threads
0.4%
With Media
35.5%
With Links
33.8%
With #Tags
48.7%
With @Mentions
16.9%
With Emojis
81
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,127 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 645 retweets (21% 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 3,127 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 9,998 followersThe audience appears to be a mix of fans of the NBA, college basketball, and individuals interested in personal achievements and humor.
Average
Audience Quality
23.3%
Suspicion Index
21.7%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.6%
Empty Bio
16.0%
<10 Tweets
22.2%
Mass Following (>2K)
0.0%
New (<90 days)
50.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.7%
No URL
9.9%
<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.
48,753,160
Total Potential Reach
82
Median Follower Reach
303
75th Percentile Reach
9.4%
>1K followers
1.8%
>10K followers
0.7%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.1%
Creators
6,708 accounts
16.9%
Consumers
1,691 accounts
16.0%
Dormant
1,599 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):
163
Verified Followers
1.63% of total
1,141
Protected Accounts
11.41% of total
7 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 | 14,098,021 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NBATV | 6,574,034 | Sports Media | Basketball, NBA, Sports |
| @sixers | 2,333,607 | Sports Team | basketball, Philadelphia, riffin' |
| @KameronBennett | 1,814,551 | DJ | Music, DJing, Booking |
| @TheSteinLine | 1,450,410 | Sports Journalist | NBA, correspondent, dad |
| @Pacers | 1,433,898 | Sports Team | Basketball, Indiana, Growth |
| @sherylunderwood | 1,322,483 | TV Host | Talk show, radio, sorority |
| @SacramentoKings | 1,253,460 | Sports Team | Basketball, Social Justice, Sacramento |
| @JDaIey | 1,246,241 | Owner | Esports, Gaming, Sponsorship |
| @TheHoopCentral | 1,193,074 | Sports Analyst | NBA, Analysis, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,641
Followers With Bio
3,359
Followers Without Bio
66.41%
% With Bio
33.59%
% 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 3,127 analyzed887,596
Combined Engagement
52,887
Total Likes
834,709
Total Retweets
177,519
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @BarackObama: Hi everybody! Back to the original handle. Is this thing still on? Michelle and I are off on a quick vacation, then we’ll get back to work.
RT @HunterKimmel: DO YOUR THING TWITTER. RT FOR FREE WINGS🔥🙌🏼😫 https://t.co/CO6BRH3jxM
RT @Zendaya: CALL IT WHAT IT IS. IT. IS. TERRORISM.
RT @kobebryant: On this day 18yrs ago the hornets told me right after they drafted me that they had no use for me and were going to trade me #thanku #lakers
Merry Christmas moms. You deserve it! https://t.co/6g3A4c01Ze
Key Insights & Takeaways
GRIII's content often includes personal milestones and humor, which likely drives engagement. The use of emojis and informal language makes the tweets relatable and shareable. The mix of personal and professional content helps maintain a broad and engaged audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 80,451
- + 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 @GRIII reveals an well-established Twitter presence with 80,451 followers. The account demonstrates a content-creator strategy, averaging 604.9 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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