ELU
alchemist 🔮 founder @coolcats creator @ghostboylives 🎙 listen to my hip hop EP👇
71,297
Followers
3,027
Following
11,200
Tweets
4.8
Avg Engagement
174
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @evanluza'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:2016-01-18
- Verification:Yes
- Location:Austin, TX
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:3.6
- Avg Retweets per Tweet:1.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsHis tweets typically receive moderate engagement with likes and retweets, indicating a consistent but not explosive level of interaction.
3.6
Avg Likes/Tweet
1.2
Avg Retweets/Tweet
1,811
Total Likes
586
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
212
Top Tweet
0.07
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
5.4%
Original
91.2%
Replies
3.2%
Retweets
0.2%
Quotes
0.0%
Threads
0.2%
With Media
6.6%
With Links
0.0%
With #Tags
94.6%
With @Mentions
24.8%
With Emojis
50
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
16.89
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.0%
Weekday Posts
24.0%
Weekend Posts
Most Mentioned
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Content Strategy Analysis
Based on 500 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 16 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 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 50,000 followersHis audience seems to be interested in hip hop, pop culture, and interactive content.
Good
Audience Quality
15.1%
Suspicion Index
14.3%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.5%
Empty Bio
4.9%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
43.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
1.1%
<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.
33,910,925
Total Potential Reach
48
Median Follower Reach
143
75th Percentile Reach
5.0%
>1K followers
0.6%
>10K followers
0.1%
>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).
54.4%
Creators
27,182 accounts
40.7%
Consumers
20,353 accounts
4.9%
Dormant
2,465 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):
3,177
Verified Followers
4.06% of total
650
Protected Accounts
0.83% 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 |
|---|---|---|---|
| @RockstarGames | 15,490,165 | Video Games | Gaming, Publishers, Popular |
| @JohnCena | 14,105,757 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jaden | 7,970,430 | Activist | Activism, Social Justice, Equality |
| @mariobautista_ | 5,423,450 | Musician | Music, Mexico, Social Media |
| @DrakeBell | 4,338,484 | Musician | Music, NFTs, Crypto |
| @erdilyasaroglu | 3,759,143 | Cartoonist | Cartoon, sculpture, life |
| @selcukerdem | 3,426,033 | Cartoonist | Cartooning, NFTs, Art |
| @garyvee | 3,170,800 | Entrepreneur | Family, CEO, Investor |
| @6BillionPeople | 2,038,000 | - | - |
| @opensea | 1,993,002 | NFT Marketplace | NFTs, Marketplace, Discover |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
60,640
Followers With Bio
17,545
Followers Without Bio
77.56%
% With Bio
22.44%
% 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 analyzed573
Combined Engagement
346
Total Likes
227
Total Retweets
115
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @coolcats: We're excited to partner with @futureverse to bring new products and experiences to our community. A custom marketplace, 3D e…
gm, I hope you hop into today like charles https://t.co/swXJXPsku8
the real question is should Ghost Dog, @ghostboylives best friend be based off Charlie? 🤔 https://t.co/ME7Mux7w8U
gm from the follow train 🚂💨👋 drop a gm get a follow, if i’m already following then the gm is extra gm
guess who got a haircut today 🍗 https://t.co/2bMrvDfjYD
Key Insights & Takeaways
He uses interactive challenges like 'gm' to boost engagement and follower growth. He references other creators and collaborators, which helps build a sense of community. His content often blends humor, pop culture, and personal storytelling.
Strengths
- + Established follower base of 71,297
- + 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 @evanluza reveals an growing Twitter presence with 71,297 followers. The account demonstrates a conversation-first approach, averaging 4.8 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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