Max Ehrich
Excited to share my new single on all streaming platforms 9/8 🥳 🎧 Click the link 👇💘 new movie 12/9 on Lifetime A COWBOY CHRISTMAS ROMANCE
410,967
Followers
48,203
Following
26,486
Tweets
770.4
Avg Engagement
556
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @maxehrich'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:2009-04-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,216
- Avg Likes per Tweet:742.7
- Avg Retweets per Tweet:27.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,216 tweetsTheir tweets typically receive a high number of likes and some retweets, suggesting a loyal and active audience. The engagement is consistent across their posts.
742.7
Avg Likes/Tweet
27.7
Avg Retweets/Tweet
2,388,604
Total Likes
89,099
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
4
Median Retweets
234
75th Percentile
53,984
Top Tweet
1.87
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
53.4%
Original
0.6%
Replies
24.5%
Retweets
21.5%
Quotes
0.0%
Threads
0.3%
With Media
67.8%
With Links
5.3%
With #Tags
29.1%
With @Mentions
31.7%
With Emojis
59
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.88
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,216 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 789 retweets (25% 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 3,216 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 seem to be interested in entertainment, including music and film. The audience appears to be engaged with both personal and promotional content.
Below Average
Audience Quality
40.2%
Suspicion Index
52.9%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.1%
Empty Bio
54.6%
<10 Tweets
12.1%
Mass Following (>2K)
0.0%
New (<90 days)
81.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.6%
No URL
39.7%
<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.
9,831,576
Total Potential Reach
10
Median Follower Reach
47
75th Percentile Reach
1.8%
>1K followers
0.3%
>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).
23.4%
Creators
11,712 accounts
22.0%
Consumers
11,007 accounts
54.6%
Dormant
27,281 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):
102
Verified Followers
0.1% of total
14,452
Protected Accounts
14.45% of total
2 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 |
|---|---|---|---|
| @babymulani | 715,524 | - | - |
| @BenSummers95 | 557,946 | Influencer | LGBTQ+, NSFW, 18+ |
| @aw4mf | 455,680 | Fitness Influencer | Fitness, NYC, Exclusive videos |
| @Hotaxel6 | 416,887 | Adult entertainer | None |
| @Arabianboyl | 297,131 | Adult Content Creator | KINK, HairyMen, Big Dick |
| @HerbertRSim | 246,827 | Investor | Economics, GeoPolitics, AI |
| @ShaunG | 230,890 | Radio Personality | Radio, Personality, Co-CEO |
| @19cmSM | 156,520 | Food Blogger | faceless, USA, no small talk |
| @DJL23CM | 142,658 | Fitness Trainer | fitness, bodybuilding, coaching |
| @Palermohot21 | 142,161 | Influencer | VIP, Hot, Palermo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
36,119
Followers With Bio
63,881
Followers Without Bio
36.12%
% With Bio
63.88%
% 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 3,216 analyzed177,490
Combined Engagement
169,109
Total Likes
8,381
Total Retweets
35,498
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Calvin’s or Hanes? https://t.co/c01uqgq7Tm
don’t waste the time I don’t have 🪐 https://t.co/7RPQtPEhSk
endorphins make u happy 🏋️♂️ https://t.co/1FOSFXftIo
have a blessed night 🙏 https://t.co/M7H7ASv8OO
sendin love 🫶 https://t.co/1vbQDKqC9x
Key Insights & Takeaways
They leverage personal anecdotes and humor to connect with their audience. Their content often includes promotional material for music and movies. They maintain a balance between entertainment and relatability in their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 410,967
- + 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 @maxehrich reveals an well-established Twitter presence with 410,967 followers. The account demonstrates a content-creator strategy, averaging 770.4 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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