LAZAR
https://www.youtube.com/lazarbeam
2,519,384
Followers
1,277
Following
14,010
Tweets
5,723.4
Avg Engagement
987
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Lazarbeam'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: Mega Influencer (1M+)
- Account Age:2014-09-24
- Verification:No
- Location:Sydney NSW
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:5,517.2
- Avg Retweets per Tweet:206.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsLazarbeam's tweets receive high engagement, with an average of 144k likes and 26k retweets per tweet.
5,517.2
Avg Likes/Tweet
206.2
Avg Retweets/Tweet
17,920,011
Total Likes
669,679
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,632
Median Likes
12
Median Retweets
5,450
75th Percentile
464,213
Top Tweet
2.27
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
15.9%
Original
81.9%
Replies
1.2%
Retweets
1.1%
Quotes
0.0%
Threads
0.2%
With Media
16.0%
With Links
1.4%
With #Tags
82.2%
With @Mentions
10.9%
With Emojis
64
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.15
Reply/Original Ratio
0.92
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 38 retweets (1% 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 3,248 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 heartfelt content, personal struggles, and real-life experiences.
Below Average
Audience Quality
38.6%
Suspicion Index
53.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.9%
Empty Bio
63.7%
<10 Tweets
1.0%
Mass Following (>2K)
0.0%
New (<90 days)
78.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.8%
No URL
46.5%
<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.
12,242,283
Total Potential Reach
2
Median Follower Reach
8
75th Percentile Reach
0.6%
>1K followers
0.1%
>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).
14.8%
Creators
7,383 accounts
21.6%
Consumers
10,776 accounts
63.7%
Dormant
31,841 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):
274
Verified Followers
0.27% of total
7,999
Protected Accounts
7.92% of total
1 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 |
|---|---|---|---|
| @RobGronkowski | 3,226,383 | Athlete | Football, Tampa Bay, Fitness |
| @Chunkz | 1,072,326 | Entertainer | Gaming, Business, Social Media |
| @CDawgVA | 891,403 | Voice Actor | Voice Acting, YouTube, Streaming |
| @albert12798 | 715,988 | - | - |
| @prest4n | 654,934 | Game Developer | Gaming, Puppetry, Clouds |
| @Earth_Updates | 634,600 | - | - |
| @noelitoflow | 472,972 | Inspirational Speaker | God, Jesus, Purpose |
| @yunggravy | 431,204 | Rapper | music, humor, fashion |
| @evanfong | 408,778 | Gamer | gaming, content creation, comedy |
| @jeffwittek | 373,417 | YouTuber | comedy, vlogs, haircare |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,570
Followers With Bio
61,429
Followers Without Bio
39.18%
% With Bio
60.82%
% 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 3,248 analyzed1,041,137
Combined Engagement
948,661
Total Likes
92,476
Total Retweets
208,227
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Fuck Cancer RIP Technoblade
I lost my grandmother to COVID while I was travelling. I am home now but won’t be returning to content as quickly as I thought. Much love ❤️
I have seen dreams face. Gorgeous man.
I told Speed I had industrial deafness from working construction so he barked at me for 3 straight minutes I have never felt so much pain https://t.co/3AtmzuV2aX
im bored and its Christmas so a random person who RTs will win $10,000 make sure to follow so I can message the winner 🎄❤️🎄❤️🎄❤️🎄❤️🎄❤️🎄
Key Insights & Takeaways
Lazarbeam often shares deeply personal and emotional stories that resonate with their audience. They have a strong presence in discussing health, loss, and personal growth. Their content is highly engaging, indicating a loyal and active follower base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,519,384
- + 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 @Lazarbeam reveals an exceptionally influential Twitter presence with 2,519,384 followers. The account demonstrates a conversation-first approach, averaging 5,723.4 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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