Draymond Green
Forward for the Golden State Warriors by way of Michigan State and Saginaw Michigan... Owner of Performance Inspired Nutrition
2.072.181
Followers
897
Following
20.191
Tweets
3.187,2
Avg Engagement
4.958
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Money23Green'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: Mega Influencer (1M+)
- Account Age:2010-02-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.234
- Avg Likes per Tweet:2.832,7
- Avg Retweets per Tweet:354,6
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.234 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is engaging and often goes viral.
2.832,7
Avg Likes/Tweet
354,6
Avg Retweets/Tweet
9.160.847
Total Likes
1.146.704
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
113
Median Likes
33
Median Retweets
1.477
75th Percentile
229.385
Top Tweet
1,54
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
53,9%
Original
23,3%
Replies
11,1%
Retweets
11,8%
Quotes
0,0%
Threads
0,1%
With Media
29,3%
With Links
15,0%
With #Tags
57,6%
With @Mentions
17,8%
With Emojis
85
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,43
Reply/Original Ratio
1,06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71,6%
Weekday Posts
28,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.234 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 358 retweets (11% 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 3.234 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 is primarily sports fans and fitness enthusiasts. They are interested in both his athletic career and his nutrition business.
Below Average
Audience Quality
37,3%
Suspicion Index
53,8%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61,9%
Empty Bio
58,5%
<10 Tweets
2,6%
Mass Following (>2K)
0,0%
New (<90 days)
76,2%
Low Ratio (<0.1)
0,0%
New (<180 days)
94,8%
No URL
45,6%
<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.
9.447.507
Total Potential Reach
4
Median Follower Reach
20
75th Percentile Reach
1,5%
>1K followers
0,2%
>10K followers
0,1%
>50K followers
0,0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
22,4%
Creators
11.219 accounts
19,1%
Consumers
9.528 accounts
58,5%
Dormant
29.253 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):
478
Verified Followers
0.48% of total
9.629
Protected Accounts
9.63% of total
2 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 |
|---|---|---|---|
| @JAYVERSACE | 1.647.135 | Entertainer | olorisa, obatalá, afrotunes |
| @MarcGasol | 1.203.172 | Basketball Player | Basketball, Sailing, Wine |
| @NOH8Campaign | 801.975 | Activism | equality, bullying, discrimination |
| @solalexasch | 678.368 | Musician | Music, Travel, Tattoos |
| @Clijsterskim | 476.908 | Tennis Player | Tennis, Mom, Fitness |
| @theuniq | 383.904 | Media Personality | Discoveries, Stories, Videos |
| @CryptoBro100x | 381.416 | Cryptocurrency Trader | Trading, Promoting, Community |
| @Hotcandyj | 321.519 | Model | Modeling, Money, North Carolina |
| @Georg_Grey | 303.550 | - | - |
| @NejireeKun | 254.314 | Gamer | apex, anime, Lisa BP |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38.759
Followers With Bio
61.241
Followers Without Bio
38.76%
% With Bio
61.24%
% 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 3.234 analyzed977.655
Combined Engagement
790.366
Total Likes
187.289
Total Retweets
195.531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Man 3-1 sucks
Hold dat L sucka https://t.co/Hi3AytfZSk
It was for a funeral https://t.co/AhcKS3ZnrN
Getting ready for Game 7 tonight… 🔒in!!! Happy Father’s Day
Still wondering how this guy is running our country.... 🤔🤔🤔
Key Insights & Takeaways
He frequently shares updates about his basketball career and personal life. He uses humor and emojis to connect with his audience. He promotes his nutrition brand through his platform.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2.072.181
- + 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 @Money23Green reveals an exceptionally influential Twitter presence with 2.072.181 followers. The account demonstrates a content-creator strategy, averaging 3.187,2 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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