NFL Deutschland
Die #NFLFrankfurtGames 2023 waren eine einzige Party – DANKE, Football-Deutschland!
108,746
Followers
261
Following
17,492
Tweets
196.1
Avg Engagement
449
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NFLDeutschland'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:2016-09-02
- Verification:Yes
- Location:Deutschland
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:149.4
- Avg Retweets per Tweet:46.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,248 tweetsThe account consistently receives high engagement with likes and retweets, indicating strong fan interaction. The use of hashtags and emojis enhances the appeal and reach of the tweets.
149.4
Avg Likes/Tweet
46.7
Avg Retweets/Tweet
485,159
Total Likes
151,843
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
100
Median Likes
4
Median Retweets
205
75th Percentile
49,733
Top Tweet
1.8
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
80.3%
Original
12.7%
Replies
6.7%
Retweets
0.3%
Quotes
0.0%
Threads
0.1%
With Media
88.5%
With Links
42.6%
With #Tags
53.9%
With @Mentions
79.8%
With Emojis
130
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.2%
Weekday Posts
33.8%
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 217 retweets (7% 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 10,000 followersThe audience is primarily football fans in Germany, especially those interested in NFL events and local game experiences. The content is tailored to generate excitement and anticipation for upcoming games.
Below Average
Audience Quality
40.2%
Suspicion Index
63.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
72.3%
Empty Bio
64.2%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
74.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
54.7%
<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.
11,602,438
Total Potential Reach
2
Median Follower Reach
19
75th Percentile Reach
1.5%
>1K followers
0.2%
>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).
20.5%
Creators
2,049 accounts
15.3%
Consumers
1,533 accounts
64.2%
Dormant
6,418 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):
44
Verified Followers
0.44% of total
681
Protected Accounts
6.81% 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 |
|---|---|---|---|
| @Patriots | 4,683,013 | - | - |
| @AtlantaFalcons | 2,437,640 | Sports Team | Football, Atlanta, DirtyBirds |
| @MiamiDolphins | 1,236,051 | Sports Team | Football, Miami, FinsUp |
| @Colts | 1,228,996 | Sports Team | Football, Indianapolis, Fan |
| @scottzolak | 233,145 | Sports Analyst | Football, Radio, Business |
| @shomaristone | 230,998 | Reporter | News, Emmy Awards, Journalism |
| @michaelpreetz | 199,367 | Football Manager | Football, Sports, Management |
| @ProSiebenMAXX | 100,609 | TV Channel | TV, Entertainment, Anime |
| @sandy_carter | 90,363 | Agile Leader | AI, cloud, IoT |
| @IainRWhite | 70,263 | Political Analyst | #FBPE |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,774
Followers With Bio
7,226
Followers Without Bio
27.74%
% With Bio
72.26%
% 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 3,248 analyzed103,825
Combined Engagement
5,353
Total Likes
98,472
Total Retweets
20,765
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @BuffaloBills: https://t.co/4Fyd2JZVLb
RT @BuffaloBills: Damar Hamlin FaceTimed into our team meeting today to talk to players and coaches. What he said to the team: “Love you boys.” ❤️ https://t.co/8dorrWNaxt
RT @NFL: https://t.co/Q5xPxUZpxH
RT @NFL: For Damar. ❤️💙 https://t.co/2i4arElWPj
München ist sowas von bereit für die Seahawks! 💙💚 #NFLMunichGame https://t.co/JIH2BJcZgj
Key Insights & Takeaways
The account leverages local events and fan culture to build a strong community around NFL in Germany. It uses emotional and celebratory language to connect with followers and create a sense of belonging. High engagement suggests that the content is well-received and resonates with the target audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 108,746
- + 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 @NFLDeutschland reveals an well-established Twitter presence with 108,746 followers. The account demonstrates a content-creator strategy, averaging 196.1 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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