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316.360
Followers
526
Following
127.025
Tweets
27,0
Avg Engagement
2.396
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DLF'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:2010-11-06
- Verification:No
- Location:Köln
Data Summary
- Tweets Analyzed:3.249
- Avg Likes per Tweet:22,2
- Avg Retweets per Tweet:4,8
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.249 tweetsDLF's tweets receive a moderate level of engagement, with an average of 817 likes and 93 retweets per tweet. The account maintains a consistent posting schedule, contributing to its overall reach and visibility.
22,2
Avg Likes/Tweet
4,8
Avg Retweets/Tweet
72.096
Total Likes
15.612
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
2
Median Retweets
24
75th Percentile
1.611
Top Tweet
0,09
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
76,4%
Original
20,1%
Replies
3,4%
Retweets
0,2%
Quotes
0,0%
Threads
0,0%
With Media
81,7%
With Links
20,2%
With #Tags
17,5%
With @Mentions
0,1%
With Emojis
174
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,26
Reply/Original Ratio
0,05
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
76,4%
Weekday Posts
23,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.249 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 109 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 3.249 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 is likely interested in politics, current affairs, and social issues, with a focus on Germany and European news. The account appeals to a broad demographic seeking reliable and timely news updates.
Below Average
Audience Quality
36,5%
Suspicion Index
54,8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63,8%
Empty Bio
56,0%
<10 Tweets
3,2%
Mass Following (>2K)
0,0%
New (<90 days)
73,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
91,9%
No URL
45,9%
<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.
24.025.965
Total Potential Reach
3
Median Follower Reach
22
75th Percentile Reach
2,2%
>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).
26,1%
Creators
13.074 accounts
17,9%
Consumers
8.951 accounts
56,0%
Dormant
27.975 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):
627
Verified Followers
0.62% of total
8.150
Protected Accounts
8.07% of total
4 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 | 14.103.255 | Wrestler | Wrestling, Motivation, Self-promotion |
| @banuguven | 2.523.223 | Journalist | News, Journalism, YouTube |
| @ralphruthe | 631.278 | Cartoonist | Autor, Musiker, Filmemacher |
| @GregorGysi | 488.611 | Politician | Politics, Berlin, Foreign Affairs |
| @carolinkebekus | 351.486 | Comedian | Comedy, Satire, Gaming |
| @BMG_Bund | 334.707 | Government Official | Gesundheit, Aktuelles, Bundesministerium |
| @berlinerzeitung | 311.802 | News outlet | News, Journalism, Berlin |
| @peteraltmaier | 303.796 | Politician | Politics, Economy, Energy |
| @_FriedrichMerz | 280.841 | Politician | Politics, Economy, CDU |
| @johnnjenga | 278.703 | Academic | Politics, Memory, Research |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41.027
Followers With Bio
59.972
Followers Without Bio
40.62%
% With Bio
59.38%
% 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 3.249 analyzed5.668
Combined Engagement
5.210
Total Likes
458
Total Retweets
1.134
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
+++ EIL +++ Verdi-Mitglieder stimmen für unbefristeten Streik bei der Deutschen Post
Bayern will Atomkraftwerke wie den gestern abgeschalteten Meiler Isar 2 in Landesverantwortung weiterbetreiben. https://t.co/IxzbR1dKU4
Für Herbert Grönemeyer ist "Gendern" notwendig. Beim Einsatz für mehr Frauenrechte müsse es auch sprachliche Veränderungen geben, argumentierte der Musiker. https://t.co/c6FzwG9Jek #Gendern #Frauen
+++ Eil +++ CDU-Spitze beschließt Parteiausschlussverfahren gegen Maaßen
+++ EIL +++ Der Internationale Strafgerichtshof hat Haftbefehl gegen #Russland|s Präsidenten #Putin erlassen. Mehr dazu in Kürze.
Key Insights & Takeaways
The account frequently covers major political and social developments, such as strikes and energy policy decisions. It includes a mix of news updates and commentary from public figures, such as Herbert Grönemeyer. DLF emphasizes in-depth analysis and context, positioning itself as a trusted source of information.
Strengths
- + Established follower base of 316.360
- + 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 @DLF reveals an growing Twitter presence with 316.360 followers. The account demonstrates a content-creator strategy, averaging 27,0 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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