MADDOX 마독스
SPREAD THE LOVE
33,359
Followers
3
Following
441
Tweets
1,152.0
Avg Engagement
147
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @xxmaddox'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:2018-12-10
- Verification:No
- Location:대한민국 서울
Data Summary
- Tweets Analyzed:401
- Avg Likes per Tweet:984.9
- Avg Retweets per Tweet:167.1
- Followers Analyzed:33,295
Engagement Analysis
Based on 401 tweetsThe average likes and retweets indicate a moderately engaged audience, with a focus on emotional resonance.
984.9
Avg Likes/Tweet
167.1
Avg Retweets/Tweet
394,944
Total Likes
66,992
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
212
Median Likes
25
Median Retweets
1,162
75th Percentile
20,397
Top Tweet
34.53
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
51.9%
Original
44.6%
Replies
3.2%
Retweets
0.2%
Quotes
0.0%
Threads
1.0%
With Media
35.7%
With Links
8.7%
With #Tags
50.6%
With @Mentions
36.2%
With Emojis
63
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 401 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 13 retweets (3% 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 401 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 33,295 followersThe audience likely appreciates motivational and heartfelt messages, possibly interested in travel and personal growth.
Excellent
Audience Quality
8.8%
Suspicion Index
9.7%
Low-Quality %
99
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
15.8%
Empty Bio
5.7%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
23.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.6%
No URL
3.6%
<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.
30,870,551
Total Potential Reach
99
Median Follower Reach
331
75th Percentile Reach
7.9%
>1K followers
0.2%
>10K followers
0.0%
>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).
87.0%
Creators
28,974 accounts
7.3%
Consumers
2,420 accounts
5.7%
Dormant
1,901 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):
6
Verified Followers
0.02% of total
5,607
Protected Accounts
16.84% of total
4 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 | 14,106,598 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,211 | - | - |
| @kqent | 358,573 | Entertainment | Music, Entertainment, Artists |
| @realgotvixx | 110,639 | Promoter | Kpop, Kdramas, Promoter |
| @sandorokis | 87,097 | Translator | Celine, translations, slow |
| @ATEEZUD | 78,017 | Fan Account | Kpop, Updates, Team |
| @kasey_hhh | 60,127 | Unknown | K-pop, Promise, Love |
| @gangschiele_ | 56,684 | Musician | gondry, hyukoh, concerts |
| @msiakpopfans | 55,290 | - | - |
| @whitewolfbkk | 48,722 | Trader | VIP, Alternative, 24/7 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,024
Followers With Bio
5,271
Followers Without Bio
84.17%
% With Bio
15.83%
% 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 401 analyzed67,360
Combined Engagement
56,320
Total Likes
11,040
Total Retweets
13,472
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
I actually didn’t believe this sentence but yeah, dreams do come true.
So grateful and happy to be here 🇪🇸❤️ Will try to soak in every single moment. Thank you so much🌹 https://t.co/8Fv3Osrx9u
🌹🇫🇷 https://t.co/ThTkFVN37Z
Flower you💐 https://t.co/mjTfbHfGkK
Thank you so much MADRID🇪🇸 Such a beautiful city🌹 (I stole the picture, sorry @Patt_1117) https://t.co/uzHMHWf1hX
Key Insights & Takeaways
The user emphasizes personal gratitude and emotional expression in their tweets. They share personal experiences and travel moments, indicating a focus on lifestyle and personal milestones. Their content is likely aimed at building a supportive and positive online community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 33,359
- + 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 @xxmaddox reveals an exceptionally influential Twitter presence with 33,359 followers. The account demonstrates a content-creator strategy, averaging 1,152.0 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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