155,379
Followers
540
Following
98,276
Tweets
74.8
Avg Engagement
661
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AXE'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:2009-02-06
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:73.2
- Avg Retweets per Tweet:1.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsAXE's tweets receive moderate to high engagement, with an average of 702 likes and 110 retweets per post. Their content is well-received and often shared within their community.
73.2
Avg Likes/Tweet
1.6
Avg Retweets/Tweet
237,287
Total Likes
5,330
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
13
Median Likes
0
Median Retweets
53
75th Percentile
6,067
Top Tweet
0.48
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
2.6%
Original
96.9%
Replies
0.1%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
4.8%
With Links
0.6%
With #Tags
96.5%
With @Mentions
9.9%
With Emojis
28
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
37.42
Reply/Original Ratio
2.75
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
92.9%
Weekday Posts
7.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 4 retweets (0% 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 3,242 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 followersAXE's audience appears to be young and interested in internet culture, memes, and humor. They likely engage with a mix of casual and meme-savvy followers.
Good
Audience Quality
19.5%
Suspicion Index
18.2%
Low-Quality %
52
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.5%
Empty Bio
13.4%
<10 Tweets
13.6%
Mass Following (>2K)
0.0%
New (<90 days)
48.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.2%
No URL
7.9%
<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.
107,671,086
Total Potential Reach
52
Median Follower Reach
216
75th Percentile Reach
7.1%
>1K followers
1.0%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.6%
Creators
34,306 accounts
18.0%
Consumers
8,981 accounts
13.4%
Dormant
6,713 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):
993
Verified Followers
0.98% of total
11,763
Protected Accounts
11.65% 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 |
|---|---|---|---|
| @NBA | 43,060,900 | Sports Media | Basketball, Sports, Entertainment |
| @JohnCena | 14,101,220 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lilbaby4PF | 7,477,998 | - | - |
| @Quackity | 5,571,360 | Content Creator | Gaming, Comedy, Memes |
| @MTVNEWS | 4,998,921 | Entertainment | Entertainment, News, Social |
| @MetroBoomin | 4,145,543 | Music Producer | Music, Producer, Blessed |
| @Vevo | 3,971,384 | Entertainment | Music, Videos, Entertainment |
| @lolesports | 2,356,858 | Esports | League of Legends, Esports, Gaming |
| @BeatsByAssassin | 2,261,355 | Multitalented | Actor, Director, Rapper |
| @BillyM2k | 2,221,590 | Blogger | crypto, blogging, affiliate marketing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,274
Followers With Bio
33,715
Followers Without Bio
66.62%
% With Bio
33.38%
% 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 3,242 analyzed20,599
Combined Engagement
19,602
Total Likes
997
Total Retweets
4,120
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
@Kurrco side quest king back to reclaim his throne
to the moon 🚀👀 #doge https://t.co/S8g6eKrJDl
@Rap what do we do now
@Rap metro spider
@playboicarti YES 🧛🧛🧛🧛🧛🧛
Key Insights & Takeaways
AXE uses trending memes and internet references to connect with their audience. Their content often includes playful and humorous language. They leverage hashtags and links to drive interaction and traffic.
Strengths
- + Established follower base of 155,379
- + 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 @AXE reveals an growing Twitter presence with 155,379 followers. The account demonstrates a conversation-first approach, averaging 74.8 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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