Lukas-Podolski.com
News von und mit Lukas Podolski. Schaut auch auf meine Homepage: https://t.co/zK7FnPQiEI Instagram: poldi_official
3,329,222
Followers
334
Following
9,213
Tweets
3,163.8
Avg Engagement
6,473
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Podolski10'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: Mega Influencer (1M+)
- Account Age:2009-01-27
- Verification:No
- Location:Zabrze, Polska
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:2,802.2
- Avg Retweets per Tweet:361.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsThe account has a strong average engagement with likes and retweets, indicating a dedicated and active audience. The content is well-received and shared across platforms.
2,802.2
Avg Likes/Tweet
361.6
Avg Retweets/Tweet
9,098,725
Total Likes
1,174,117
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
953
Median Likes
79
Median Retweets
2,528
75th Percentile
159,759
Top Tweet
0.95
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
64.8%
Original
3.5%
Replies
15.9%
Retweets
15.8%
Quotes
0.0%
Threads
0.2%
With Media
81.0%
With Links
69.8%
With #Tags
42.5%
With @Mentions
86.9%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.99
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.6%
Weekday Posts
35.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 517 retweets (16% 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 3,247 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 likely includes football fans, followers of Lukas Podolski, and people interested in sports news. The content also reaches individuals interested in personal expressions and social media engagement.
Average
Audience Quality
32.6%
Suspicion Index
40.0%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.8%
Empty Bio
42.1%
<10 Tweets
7.7%
Mass Following (>2K)
0.0%
New (<90 days)
72.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
28.1%
<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.
26,766,806
Total Potential Reach
13
Median Follower Reach
64
75th Percentile Reach
2.4%
>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).
32.4%
Creators
16,192 accounts
25.5%
Consumers
12,772 accounts
42.1%
Dormant
21,036 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):
190
Verified Followers
0.19% of total
8,638
Protected Accounts
8.55% of total
3 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 | 14,106,048 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Bundesliga_EN | 1,565,577 | Sports Media | Football, Soccer, Germany |
| @rewinside | 1,444,064 | Content Creator | Gaming, Comedy, Entertainment |
| @alpkirsan | 1,179,861 | TV Host | Comedy, TV, Entertainment |
| @dhayaalagiri | 654,789 | Comedian | Fashion, Travel, Food |
| @RIVALDOOFICIAL | 623,401 | Footballer | Christianity, Football, Awards |
| @Moreno | 430,220 | Influencer | Business, Manager, Serious |
| @KoltonRoman | 386,304 | Journalist | Futbol, Dziennikarstwo, Komentarz |
| @rzeczpospolita | 331,784 | Newspaper | news, Poland, daily |
| @Gunnersc0m | 327,263 | Sports Media | Football, Arsenal, Betting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,236
Followers With Bio
47,761
Followers Without Bio
52.71%
% With Bio
47.29%
% 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 3,247 analyzed472,114
Combined Engagement
425,438
Total Likes
46,676
Total Retweets
94,423
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
Schalke 0:4
Türkiye Cumhuriyeti’nin kurucusu Mustafa Kemal Atatürk’ü saygı, rahmet ve minnetle anıyorum. #Ankara #anıtkabir #atatürk 🙏🏻 https://t.co/KkYNfw09j0
London is red 🔴💪🏻 #FACupFinal #arsenal #afc #gunners
Afiyet olsun ❤️ #cimbom #thebest https://t.co/nHRDyCuPdb
#COYG 😎💪🏻 https://t.co/3gLVxF7xhr
Key Insights & Takeaways
The account frequently shares sports-related content, particularly football matches and personal expressions. It uses hashtags and links to drive traffic to external platforms like Instagram and a personal homepage. The content is emotionally engaging, often including expressions of respect and gratitude.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,329,222
- + 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 @Podolski10 reveals an exceptionally influential Twitter presence with 3,329,222 followers. The account demonstrates a content-creator strategy, averaging 3,163.8 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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