Max
Card collector, @coldones jester, & @drinkgrog drinker. 1/2 Korean
948,178
Followers
1,020
Following
29,797
Tweets
1,554.5
Avg Engagement
507
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @maxmoefoe'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:2011-09-12
- Verification:No
- Location:succ
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:1,429.8
- Avg Retweets per Tweet:124.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsMaxmoefoe's tweets receive high engagement, with an average of 93,548 likes and 8,511 retweets per tweet. This indicates a highly interactive and loyal follower base.
1,429.8
Avg Likes/Tweet
124.7
Avg Retweets/Tweet
4,641,121
Total Likes
404,795
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
272
Median Likes
2
Median Retweets
1,043
75th Percentile
247,525
Top Tweet
1.64
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
5.3%
Original
89.6%
Replies
4.9%
Retweets
0.2%
Quotes
0.0%
Threads
0.2%
With Media
36.8%
With Links
0.5%
With #Tags
90.3%
With @Mentions
12.4%
With Emojis
51
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
16.91
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 159 retweets (5% 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 3,246 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 followersTheir audience includes fans of card games, pop culture enthusiasts, and followers of other Twitter personalities. The content appeals to a broad demographic, with a focus on entertainment and humor.
Average
Audience Quality
26.4%
Suspicion Index
30.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.6%
Empty Bio
34.2%
<10 Tweets
2.1%
Mass Following (>2K)
0.0%
New (<90 days)
66.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
23.1%
<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.
15,244,609
Total Potential Reach
8
Median Follower Reach
32
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
40.0%
Creators
19,982 accounts
25.8%
Consumers
12,920 accounts
34.2%
Dormant
17,098 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):
391
Verified Followers
0.39% of total
10,985
Protected Accounts
10.88% of total
3 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 |
|---|---|---|---|
| @WilburSoot | 3,577,533 | Entertainer | Music, Streaming, Geoguessr |
| @cinnamontoastk | 3,045,983 | YouTuber | Gaming, Comedy, Family |
| @ImagesAlbum | 1,868,876 | - | - |
| @JAYVERSACE | 1,647,075 | Entertainer | olorisa, obatalá, afrotunes |
| @weirddalle | 1,357,038 | - | - |
| @LeBronJames | 1,001,243 | - | - |
| @JaySwingler | 844,839 | YouTuber | pranks, challenges, comedy |
| @SleepSkee | 711,440 | Musician | Music, Independent, Artist |
| @bigtittygothegg | 559,926 | Adult entertainer | Goth, OnlyFans, Snapchat |
| @Veibae | 548,431 | VTuber | VTUBER, Illustrator, Rigging |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,993
Followers With Bio
36,006
Followers Without Bio
64.35%
% With Bio
35.65%
% 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 3,246 analyzed728,808
Combined Engagement
574,917
Total Likes
153,891
Total Retweets
145,762
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/WxIcx5W2pM
It’s morbin time https://t.co/6RjmhLKQHG
https://t.co/8DRAV2Awan
RT @RealGilbert: https://t.co/STHhfpVSKU
https://t.co/hqBWI4InnH
Key Insights & Takeaways
They maintain a consistent and active presence on Twitter, which helps sustain engagement. Their content often includes references to other accounts and popular culture, which likely drives interaction. They have a verified status of 0.4%, suggesting a mix of verified and non-verified followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 948,178
- + High community engagement through conversations
- + 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 @maxmoefoe reveals an exceptionally influential Twitter presence with 948,178 followers. The account demonstrates a conversation-first approach, averaging 1,554.5 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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