Christopher Lauer™
Become Chancellor or Die Tryin’ / Your boos mean nothing, I've seen what makes you cheer …
53.554
Followers
1.251
Following
438.733
Tweets
457,2
Avg Engagement
1.030
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Schmidtlepp'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:2009-07-22
- Verification:No
- Location:Berlin, Germany
Data Summary
- Tweets Analyzed:3.243
- Avg Likes per Tweet:36,3
- Avg Retweets per Tweet:420,9
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.243 tweetsThe user's tweets consistently receive high engagement, indicating a strong and active community. Their content is both liked and shared frequently, suggesting a loyal and interactive audience.
36,3
Avg Likes/Tweet
420,9
Avg Retweets/Tweet
117.609
Total Likes
1.364.974
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
128
75th Percentile
65.930
Top Tweet
8,54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
8,9%
Original
25,3%
Replies
61,7%
Retweets
4,1%
Quotes
0,0%
Threads
0,4%
With Media
56,1%
With Links
11,4%
With #Tags
85,6%
With @Mentions
5,4%
With Emojis
164
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2,83
Reply/Original Ratio
0,07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76,0%
Weekday Posts
24,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.243 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 2.001 retweets (62% 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 3.243 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 10.000 followersSchmidtlepp's audience appears to be politically aware and socially engaged, likely in Germany. They are interested in satire, political analysis, and current affairs.
Below Average
Audience Quality
37,5%
Suspicion Index
100,0%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100,0%
Empty Bio
100,0%
<10 Tweets
0,0%
Mass Following (>2K)
0,0%
New (<90 days)
0,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,8%
No URL
100,0%
<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.
20.201.512
Total Potential Reach
32
Median Follower Reach
172
75th Percentile Reach
6,7%
>1K followers
0,7%
>10K followers
0,2%
>50K followers
0,1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0,0%
Creators
0 accounts
0,0%
Consumers
0 accounts
100,0%
Dormant
10.000 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):
0
Verified Followers
0.0% of total
669
Protected Accounts
6.69% of total
6 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 |
|---|---|---|---|
| @JohnCena | 14.094.028 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Matt_VanDyke | 514.452 | Founder | veterans, training, supplies |
| @EvanKirstel | 350.177 | Tech Influencer | Tech, B2B, Social media |
| @olex_scherba | 267.451 | - | - |
| @curaffairs | 159.789 | Journalist | politics, commentary, analysis |
| @MartinThuer | 150.640 | Journalist | Journalism, Travel, Opinions |
| @madverse | 137.191 | Poet | poetry, Dada, Surrealism |
| @concodanomics | 113.012 | - | - |
| @AhmedBaba_ | 107.809 | Journalist | Politics, Journalism, Democracy |
| @Anwalt_Jun | 90.526 | Lawyer | IT-Recht, Hasskriminalität, QuatschJura |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5.674
Followers With Bio
4.326
Followers Without Bio
56.74%
% With Bio
43.26%
% 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 3.243 analyzed223.055
Combined Engagement
0
Total Likes
223.055
Total Retweets
44.611
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @blockbuster: A friendly reminder that when you used to rent videos from us. We didn’t care who you shared it with… As long as you returned it on time. @netflix
RT @ShouldHaveCat: https://t.co/W5ZB23I7w1
RT @ProgressBar202_: 2023 is 50% complete. https://t.co/dmqYnnxfHA
RT @jzux: wish there was a daily rate limit on my thoughts
RT @MickJagger: I’m so saddened by the passing of my wonderful friend Tina Turner. She was truly an enormously talented performer and singer. She was inspiring, warm, funny and generous. She helped me so much when I was young and I will never forget her. https://t.co/TkG5VrdxXO
Key Insights & Takeaways
The user frequently shares political satire and commentary on German politics They engage with their audience through humor and sharp observations Their content often highlights social and political issues with a critical tone
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53.554
- + 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 @Schmidtlepp reveals an well-established Twitter presence with 53.554 followers. The account demonstrates a conversation-first approach, averaging 457,2 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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