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#ranNBA #ranNHL #ranFussball #ranBundesliga #ranDTM #ranFormelE Auf https://www.ran.de gibt es die ganze Welt des Sports mit NBA, NFL, NHL, DTM, Fußball uvm.
183,346
Followers
2,053
Following
67,474
Tweets
62.3
Avg Engagement
647
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ransport'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:2010-07-22
- Verification:No
- Location:Unterföhring
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:34.0
- Avg Retweets per Tweet:28.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe average engagement per tweet is around 1,571 likes and 96 retweets, indicating a moderately engaged audience. The account's verified status is low, suggesting it's not an official account but still has a strong following.
34.0
Avg Likes/Tweet
28.3
Avg Retweets/Tweet
110,399
Total Likes
91,858
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
28
75th Percentile
61,472
Top Tweet
0.34
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
78.4%
Original
5.4%
Replies
12.2%
Retweets
4.1%
Quotes
0.0%
Threads
0.0%
With Media
84.9%
With Links
89.3%
With #Tags
26.6%
With @Mentions
32.9%
With Emojis
129
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
63.9%
Weekday Posts
36.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 396 retweets (12% 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 3,248 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 sports enthusiasts interested in NBA, NHL, NFL, Bundesliga, DTM, and Formula E. The content appeals to fans who follow multiple sports leagues and enjoy discussions around them.
Below Average
Audience Quality
37.9%
Suspicion Index
54.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.4%
Empty Bio
58.3%
<10 Tweets
3.3%
Mass Following (>2K)
0.0%
New (<90 days)
76.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
43.6%
<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.
11,736,125
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.1%
>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).
20.7%
Creators
10,351 accounts
21.0%
Consumers
10,500 accounts
58.3%
Dormant
29,149 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):
98
Verified Followers
0.1% of total
6,688
Protected Accounts
6.62% 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 |
|---|---|---|---|
| @NicoRosberg | 2,522,300 | Racing Driver | Sustainability, Entrepreneurship, F1 |
| @tamerbadawy76 | 1,245,242 | Football Analyst | Football, Coach, Analyst |
| @ZachBoychuk | 828,829 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @Badstuber | 784,498 | - | - |
| @SkySportNews | 726,634 | Sports News | Football, Racing, Golf |
| @CoachSchuman | 588,274 | Football Coach | Football, Recruiting, Motivation |
| @djkingassassin | 472,376 | DJ | Music, Club, Producer |
| @OfficialPDC | 438,493 | Darts | Darts, Professional Sports, Events |
| @iMiaSanMia | 342,682 | Football Fan | Bayern, Germany, Die Mannschaft |
| @RealJeffJarrett | 337,942 | Wrestler | Family, Scripture, Quotes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,630
Followers With Bio
67,369
Followers Without Bio
33.3%
% With Bio
66.7%
% 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 3,248 analyzed76,349
Combined Engagement
6,219
Total Likes
70,130
Total Retweets
15,270
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @HamlinIsland: GAMETIME!!! @BuffaloBills 💙 https://t.co/PQYClonUHb
RT @GeorgiaFootball: hypnoDAWG.mp4 https://t.co/63RTmK4xjr
RT @Chiefs: 5TH STRAIGHT APPEARANCE!!!!! 🖐 https://t.co/FBy9nDzq1G
„DFL: Alle sind gleich… manche sind gleicher“. Dazu „scheiß DFL im Wechselgesang der Fans. #FCBBVB https://t.co/nuhvyVXTRF
DANKE!
Key Insights & Takeaways
The account frequently uses humor and sarcasm in its tweets, which helps to engage the audience. It often references specific teams and events, which can help build a sense of community among followers. The use of hashtags is strategic, allowing for easy categorization and discovery of content.
Strengths
- + Established follower base of 183,346
- + 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 @ransport reveals an growing Twitter presence with 183,346 followers. The account demonstrates a content-creator strategy, averaging 62.3 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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