620,749
Followers
1,286
Following
11,414
Tweets
424.4
Avg Engagement
5,420
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MettaWorld37'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:2009-09-09
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:168.2
- Avg Retweets per Tweet:256.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsThe account maintains a steady level of engagement, with an average of 13,692 likes and 1,222 retweets per tweet. The content is often personal and emotional, which likely contributes to its engagement.
168.2
Avg Likes/Tweet
256.2
Avg Retweets/Tweet
544,438
Total Likes
829,450
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
3
Median Retweets
83
75th Percentile
109,306
Top Tweet
0.68
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
45.8%
Original
20.5%
Replies
25.5%
Retweets
8.2%
Quotes
0.0%
Threads
0.6%
With Media
44.3%
With Links
17.4%
With #Tags
72.5%
With @Mentions
13.0%
With Emojis
116
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 824 retweets (25% 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 3,237 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 followersThe audience appears to be interested in sports, particularly basketball, given the mention of Kobe Bryant. The content is casual and relatable, suggesting a younger, male demographic.
Average
Audience Quality
24.5%
Suspicion Index
24.3%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.6%
Empty Bio
20.5%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
58.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
13.0%
<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.
73,151,222
Total Potential Reach
46
Median Follower Reach
201
75th Percentile Reach
6.1%
>1K followers
0.8%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.5%
Creators
30,759 accounts
18.0%
Consumers
8,985 accounts
20.5%
Dormant
10,256 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):
1,221
Verified Followers
1.22% of total
12,538
Protected Accounts
12.54% 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 |
|---|---|---|---|
| @kobebryant | 14,696,001 | Entrepreneur | Basketball, Writing, Producing |
| @JohnCena | 14,105,411 | Wrestler | Wrestling, Motivation, Self-promotion |
| @paugasol | 7,164,649 | Basketball Player | Basketball, Travel, Twitter |
| @icecube | 5,655,180 | Rapper | Music, West Coast, Video |
| @llcoolj | 4,967,038 | Rapper | Music, Hip-hop, Entertainment |
| @LamarOdom | 3,567,091 | - | - |
| @jamesmaslow | 2,882,912 | Singer | Travel, Music, Fitness |
| @MannyPacquiao | 2,625,813 | Boxer | Boxing, Politics, Philanthropy |
| @nyknicks | 2,470,482 | Sports Team | Basketball, New York, Knicks |
| @Karabo_Mokgoko | 2,348,434 | Digital Entrepreneur | Digital Entrepreneur, Trendsetter, Globetrotter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,840
Followers With Bio
38,160
Followers Without Bio
61.84%
% With Bio
38.16%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed363,972
Combined Engagement
53,925
Total Likes
310,047
Total Retweets
72,794
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @kingsthings: https://t.co/x0Hl0X6vqU
RT @halleberry: 💔 https://t.co/O4wKKBgQwt
RT @POTUS: Moments ago I spoke to Brittney Griner. She is safe. She is on a plane. She is on her way home. https://t.co/FmHgfzrcDT
The best https://t.co/8vLoM41vPQ
RT @Lakers: Family is Forever 🖤 https://t.co/OkjOI6oplm
Key Insights & Takeaways
The user frequently shares personal reflections and emotions, which may foster a sense of connection with followers. The content often references sports figures like Kobe Bryant, indicating a strong interest in sports and legacy. The user's tone is casual and conversational, suggesting a focus on authenticity and relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 620,749
- + 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 @MettaWorld37 reveals an well-established Twitter presence with 620,749 followers. The account demonstrates a content-creator strategy, averaging 424.4 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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