Tadej Pogačar
bike rider
246,698
Followers
206
Following
330
Tweets
1,236.8
Avg Engagement
1,696
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TamauPogi'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:2016-09-06
- Verification:No
- Location:Slovenija
Data Summary
- Tweets Analyzed:313
- Avg Likes per Tweet:1,134.4
- Avg Retweets per Tweet:102.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 313 tweetsTamauPogi's tweets receive high engagement, with an average of 12,902 likes and 564 retweets, indicating a strong connection with their followers.
1,134.4
Avg Likes/Tweet
102.4
Avg Retweets/Tweet
355,063
Total Likes
32,050
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
198
Median Likes
10
Median Retweets
1,006
75th Percentile
24,661
Top Tweet
5.01
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
52.4%
Original
26.8%
Replies
14.1%
Retweets
6.7%
Quotes
0.0%
Threads
17.3%
With Media
64.5%
With Links
22.4%
With #Tags
69.6%
With @Mentions
51.8%
With Emojis
114
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.48
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
69.6%
Weekday Posts
30.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 313 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 44 retweets (14% 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 313 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 primarily consists of cycling enthusiasts and sports fans interested in professional racing and athlete experiences.
Average
Audience Quality
26.1%
Suspicion Index
38.7%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.7%
Empty Bio
31.6%
<10 Tweets
4.6%
Mass Following (>2K)
0.0%
New (<90 days)
54.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
22.8%
<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.
34,338,155
Total Potential Reach
21
Median Follower Reach
96
75th Percentile Reach
3.1%
>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).
48.2%
Creators
24,125 accounts
20.2%
Consumers
10,092 accounts
31.6%
Dormant
15,783 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):
461
Verified Followers
0.46% of total
10,282
Protected Accounts
10.18% 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 |
|---|---|---|---|
| @JohnCena | 14,105,701 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JoelEmbiid | 2,147,136 | Athlete | - |
| @UranRigoberto | 1,472,718 | Cyclist | Cycling, Professional, Athlete |
| @lis_tomasz | 1,085,987 | Journalist | Politics, Journalism, Optimism |
| @titopuccettic | 838,401 | Sports Journalist | fútbol, televisión, radio |
| @giroditalia | 783,061 | Cycling | Cycling, Italy, Passion |
| @mario_sabato | 599,586 | Sports Fan | Sports, Fan, Mario Sabato |
| @vincenzonibali | 566,719 | Cyclist | Cycling, Tour de France, Giro d'Italia |
| @MarioSuarez4 | 564,130 | Sports Business | Sports Business, Director Deportivo, Global Players Program |
| @tjcope | 547,589 | Sports broadcaster | Deportes, Entretenimiento, Radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,877
Followers With Bio
53,122
Followers Without Bio
47.4%
% With Bio
52.6%
% 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 313 analyzed89,558
Combined Engagement
71,822
Total Likes
17,736
Total Retweets
17,912
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
The pain is over 🥵 I had one last push in the TT and gave it everything. Congrats to Jonas and @JumboVismaRoad on a well deserved @LeTour victory.👏🏼👏🏼 Also thanks to all riders and staff @TeamEmiratesUAE for these last weeks. 🙏 Tomorrow we roll into Paris for one final go 🇫🇷 h
Heading into the rest day in yellow 😜💛🙌🏼 https://t.co/nytJYNHcmo
🤔😬 https://t.co/yeB1CEBS4Z
RT @nao_mac: 今回の表彰式は、自分でメダルとって、自分でかけるのね こんなご時世だから… でも？可愛いなぁと思ったシーンが 3位のポガチャルが『僕のこれだよね』と真ん中の金色のを取ろうとして IOC委員の方に思いっきり『Nooooooo!!🤣』って言われてる音声が…
Teamwork dreamwork 😍😍🙏🙏 Tomorrow another big fight 💪🏼👊 @LeTour @TeamEmiratesUAE https://t.co/ZYSPPZJAwN
Key Insights & Takeaways
TamauPogi often shares personal victories and emotional moments, which resonate well with their audience. They engage with fans by acknowledging their achievements and expressing gratitude. Their content is highly visual, often including links to videos or highlights of races.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 246,698
- + 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 @TamauPogi reveals an exceptionally influential Twitter presence with 246,698 followers. The account demonstrates a content-creator strategy, averaging 1,236.8 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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