alex lange
producer, actor, friend.
342,894
Followers
979
Following
5,944
Tweets
1,490.4
Avg Engagement
154
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alexmlange'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:2010-05-03
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:812.8
- Avg Retweets per Tweet:677.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,234 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often relatable and emotionally resonant.
812.8
Avg Likes/Tweet
677.6
Avg Retweets/Tweet
2,628,450
Total Likes
2,191,351
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
170
Median Likes
8
Median Retweets
1,086
75th Percentile
1,421,792
Top Tweet
4.35
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
36.8%
Original
55.2%
Replies
3.2%
Retweets
4.9%
Quotes
0.0%
Threads
0.7%
With Media
19.1%
With Links
2.7%
With #Tags
61.6%
With @Mentions
27.3%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.5
Reply/Original Ratio
1.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.3%
Weekday Posts
24.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 102 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 3,234 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 followers likely include fans of their work in entertainment and individuals interested in behind-the-scenes content. The audience seems to appreciate both personal and professional insights.
Average
Audience Quality
31.6%
Suspicion Index
34.5%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.3%
Empty Bio
47.3%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
73.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
30.7%
<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.
227,302,496
Total Potential Reach
5
Median Follower Reach
28
75th Percentile Reach
2.1%
>1K followers
0.5%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
27.7%
Creators
13,860 accounts
25.0%
Consumers
12,495 accounts
47.3%
Dormant
23,645 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):
303
Verified Followers
0.3% of total
7,774
Protected Accounts
7.7% of total
5 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 |
|---|---|---|---|
| @justinbieber | 113,068,814 | Singer | Music, Justice, Album |
| @MrBeast | 19,670,161 | YouTuber | Philanthropy, YouTube, Charity |
| @MTV | 17,684,676 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,103,329 | Wrestler | Wrestling, Motivation, Self-promotion |
| @shanedawson | 8,203,754 | YouTuber | Merchandise, YouTube, Comedy |
| @AndreaRussett | 6,801,155 | Influencer | Music, Freezing, Entertainment |
| @YouTubeCreators | 6,702,344 | Content Creator | tools, tips, inspiration |
| @rclbeauty101 | 3,250,724 | YouTuber | beauty, youtuber, video |
| @AaronCarpenter | 3,124,809 | Influencer | music, fitness, travel |
| @carterreynolds | 2,496,409 | Influencer | Instagram, Email, Contact |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,692
Followers With Bio
47,307
Followers Without Bio
53.16%
% With Bio
46.84%
% 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 3,234 analyzed2,070,830
Combined Engagement
228,793
Total Likes
1,842,037
Total Retweets
414,166
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: "No one is born hating another person because of the color of his skin or his background or his religion..." https://t.co/…
RT @MarvelStudios: Our hearts are broken and our thoughts are with Chadwick Boseman’s family. Your legacy will live on forever. Rest In Pea…
here's a picture of a puppy to brighten up ur day https://t.co/j5Kpqu1lvh
@BlankBiography homie won. free dinner and he dodged a bullet
RT @MrBenLHall: What do you wanna do after you retire? Me: https://t.co/4WaF0Y3OO3
Key Insights & Takeaways
They share personal and emotional content that connects with their audience They engage with fans by responding to their feelings and experiences They often highlight entertainment-related topics and personal interests
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 342,894
- + 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 @alexmlange reveals an exceptionally influential Twitter presence with 342,894 followers. The account demonstrates a conversation-first approach, averaging 1,490.4 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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