Maximillion Cooper
#Gumball3000 #GumballLife
21,757
Followers
763
Following
10,395
Tweets
6.1
Avg Engagement
181
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MRGUMBALL3000'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:2010-04-16
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:3.1
- Avg Retweets per Tweet:3.1
- Followers Analyzed:22,187
Engagement Analysis
Based on 500 tweetsThe account has moderate engagement with an average of 24 likes and 4 retweets per tweet.
3.1
Avg Likes/Tweet
3.1
Avg Retweets/Tweet
1,531
Total Likes
1,540
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
4
75th Percentile
907
Top Tweet
0.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
97.0%
Original
2.2%
Replies
0.8%
Retweets
0.0%
Quotes
0.0%
Threads
18.2%
With Media
99.0%
With Links
68.2%
With #Tags
39.8%
With @Mentions
41.0%
With Emojis
139
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.02
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.6%
Weekday Posts
31.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 4 retweets (1% 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 500 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 22,187 followersThe audience appears to be interested in personal stories, family life, and celebrity culture.
Good
Audience Quality
16.0%
Suspicion Index
22.4%
Low-Quality %
89
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
13.6%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
27.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
70.9%
No URL
7.6%
<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.
110,952,277
Total Potential Reach
89
Median Follower Reach
283
75th Percentile Reach
8.7%
>1K followers
1.7%
>10K followers
0.6%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.0%
Creators
14,423 accounts
21.4%
Consumers
4,753 accounts
13.6%
Dormant
3,011 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):
314
Verified Followers
1.42% of total
2,985
Protected Accounts
13.45% of total
11 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 | 14,105,724 | Wrestler | Wrestling, Motivation, Self-promotion |
| @steveaoki | 8,126,031 | DJ | Music, DJing, Collaboration |
| @lilyallen | 5,116,760 | Singer | Music, Activism, Business |
| @tonyhawk | 4,508,541 | Skateboarder | Skateboarding, Family, Video Games |
| @redbullracing | 4,373,502 | Formula 1 Team | Formula 1, Racing, Pit Crew |
| @deadmau5 | 3,350,944 | Music Producer | Music, Gaming, Animals |
| @Variety | 2,909,810 | Entertainment industry | Entertainment, Business, Variety |
| @afrojack | 2,503,662 | DJ | Music, DJing, Producer |
| @THEREALSWIZZZ | 2,496,423 | Music Producer | Music, Art, Fashion |
| @MTVUK | 2,426,479 | Entertainment | Little Mix, HERSTORY, BRITs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,935
Followers With Bio
8,252
Followers Without Bio
62.81%
% With Bio
37.19%
% 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 500 analyzed1,481
Combined Engagement
109
Total Likes
1,372
Total Retweets
296
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @fosgoodwood: Absolutely incredible! The McMurtry Spéirling has just set the outright Hill record in an astonishing 39.14 seconds. #FOS…
RT @TheRealEve: #RuffRydersChronicles premieres NEXT WEDNESDAY at 10/9c, on @BET! @ruffryders https://t.co/Ab4WZmzy6x
RT @MBrundleF1: Miami track is great. Pitlane exits into T2 followed by multiple fast corners totally surrounded by hospitality suites and…
Very excited to share this news… we have a lil human on the way! ♥️ https://t.co/UuXrcOKR7F
Wifey and Gwen on The Voice tonight 🔥 @therealeve @gwenstefani nbcthevoice #eve #gwenstefani #lamb15 #thevoice https://t.co/aDHJV6AH2l
Key Insights & Takeaways
The user frequently shares personal milestones such as pregnancy and childbirth. They engage with celebrity content and public figures. They use hashtags to increase visibility and connect with their audience.
Strengths
- + Established follower base of 21,757
- + 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 @MRGUMBALL3000 reveals an growing Twitter presence with 21,757 followers. The account demonstrates a content-creator strategy, averaging 6.1 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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