musikwoche
MusikWoche - Der Beat der Branche seit 1993
26,988
Followers
234
Following
47,639
Tweets
1.0
Avg Engagement
150
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MusikWoche'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:2009-06-26
- Verification:No
- Location:Munich
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:0.8
- Avg Retweets per Tweet:0.2
- Followers Analyzed:27,103
Engagement Analysis
Based on 500 tweetsThe account has a steady but not high engagement rate, with an average of 21 likes and 3 retweets per tweet. The engagement is likely driven by the relevance of the content to the music industry.
0.8
Avg Likes/Tweet
0.2
Avg Retweets/Tweet
414
Total Likes
108
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
69
Top Tweet
0.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.2%
Original
0.0%
Replies
0.8%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
99.6%
With Links
29.4%
With #Tags
68.8%
With @Mentions
0.4%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
77.8%
Weekday Posts
22.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 4 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 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 27,103 followersThe audience is likely music industry professionals, artists, and fans interested in German music news. The followers are engaged with content that highlights industry events and collaborations.
Below Average
Audience Quality
41.5%
Suspicion Index
63.4%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.1%
Empty Bio
74.0%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
75.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.5%
No URL
60.8%
<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.
12,932,008
Total Potential Reach
3
Median Follower Reach
9
75th Percentile Reach
2.5%
>1K followers
0.4%
>10K followers
0.1%
>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).
13.1%
Creators
3,558 accounts
12.9%
Consumers
3,501 accounts
74.0%
Dormant
20,044 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):
130
Verified Followers
0.48% of total
982
Protected Accounts
3.62% of total
7 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 |
|---|---|---|---|
| @6BillionPeople | 2,038,025 | - | - |
| @LILBTHEBASEDGOD | 1,250,146 | Rapper | Music, Writing, Film |
| @PleasureEllis | 686,513 | Entertainer | Music, Transformation, Celebration |
| @warnermusic | 621,076 | Music Industry | Music, Entertainment, Artists |
| @RTL_com | 573,976 | Media | Entertainment, News, TV |
| @MickyBeisenherz | 307,899 | Entertainer | Comedy, TV, Journalism |
| @LouisSerge | 305,581 | - | - |
| @kimpetras | 257,503 | Singer | Music, Pop, LGBTQ+ |
| @Deezer | 252,796 | Music streaming | music, passion, HiFi |
| @ReaGarvey | 159,948 | Musician | Music, BestBadFriend, Out Now |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,188
Followers With Bio
17,915
Followers Without Bio
33.9%
% With Bio
66.1%
% 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 analyzed195
Combined Engagement
164
Total Likes
31
Total Retweets
39
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
Amazon Music und Alligatoah streamen wieder auf Twitch https://t.co/CuaH9o5NRR @amazonmusic @alligatoah
BMG bringt bislang unveröffentlichte Cro-Tracks heraus https://t.co/fLl9ugcwkQ @thisiscro @BMG_DE @BMG_News @BMG
https://t.co/1CyK2eJwDX vergab Sold Out Award an Die Toten Hosen https://t.co/MXvr1AYso4 @dietotenhosen
RT @RIAA: Revenues from vinyl records grew for the 1⃣6⃣th straight year 🤯 – reaching $1.2 Billion in 2022 📊 #RIAAMusicData https://t.co/Y…
Thees Uhlmann spielt Spontankonzert für Erdbebenopfer https://t.co/ZKtj7ZDdtr @theesuhlmann #theesuhlman @GHvC_News #grandhotelvancleef
Key Insights & Takeaways
The account frequently collaborates with industry partners and artists, which helps in driving engagement. It shares news about unreleased tracks and live streams, indicating a focus on current and exclusive content. The use of hashtags and mentions of brands suggests a strategic approach to increasing visibility and reach.
Strengths
- + Established follower base of 26,988
- + 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 @MusikWoche reveals an growing Twitter presence with 26,988 followers. The account demonstrates a content-creator strategy, averaging 1.0 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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