Paulina García Robles
📺 ESPN HOST / SportsCenter / 🏐Voleibolista #7 Contacto: [email protected]
200,029
Followers
1,049
Following
25,883
Tweets
527.4
Avg Engagement
378
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @paugr'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:2009-04-23
- Verification:No
- Location:Mexico
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:117.9
- Avg Retweets per Tweet:409.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetspaugr's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content is often shared widely, especially when discussing major sports events or team performances.
117.9
Avg Likes/Tweet
409.5
Avg Retweets/Tweet
383,017
Total Likes
1,331,000
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
63
Median Likes
4
Median Retweets
157
75th Percentile
123,553
Top Tweet
2.64
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
77.5%
Original
1.9%
Replies
16.1%
Retweets
4.5%
Quotes
0.0%
Threads
0.0%
With Media
65.6%
With Links
36.6%
With #Tags
22.1%
With @Mentions
73.8%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 524 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 3,250 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 sports fans, especially those interested in football and volleyball. They are likely to be engaged with real-time sports updates and in-depth analysis.
Average
Audience Quality
33.9%
Suspicion Index
36.8%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.3%
Empty Bio
34.4%
<10 Tweets
18.8%
Mass Following (>2K)
0.0%
New (<90 days)
76.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
23.4%
<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.
37,361,074
Total Potential Reach
25
Median Follower Reach
105
75th Percentile Reach
3.0%
>1K followers
0.3%
>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).
44.3%
Creators
22,139 accounts
21.3%
Consumers
10,651 accounts
34.4%
Dormant
17,210 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):
127
Verified Followers
0.13% of total
12,103
Protected Accounts
12.1% 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 |
|---|---|---|---|
| @JohnCena | 14,099,990 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Faitelson_ESPN | 4,085,259 | - | - |
| @thibautcourtois | 3,562,770 | Goalkeeper | Football, Goalkeeping, Belgium |
| @jpedrerol | 1,828,153 | Sports journalist | Football, Sports, Journalism |
| @giraltpablo | 1,023,164 | Sports Journalist | Fútbol, TV, Radio |
| @ESPNMarioKempes | 685,711 | Sports Analyst | Soccer, Analyst, Commentator |
| @MrFuckinItAll | 642,512 | Influencer | Publicidad, Negocios, Instagram |
| @calbert57 | 618,958 | Sports Journalist | Soccer, Journalism, Olympics |
| @followersyacom | 494,489 | Social Media Manager | Social Media, Marketing, Descuento |
| @SoyCristianRey | 489,971 | Betting Advisor | apuestas, hobbies, asesor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,540
Followers With Bio
47,460
Followers Without Bio
52.54%
% With Bio
47.46%
% 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 3,250 analyzed413,130
Combined Engagement
0
Total Likes
413,130
Total Retweets
82,626
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @lukamodric10: Giving up is not an option.
RT @Cristiano: So happy to be back on the pitch, and on the score sheet!! And nice to see some old friends!👍🏼 https://t.co/qZqKGHsrVD
RT @Cristiano: https://t.co/OZJAW7HSJM
RT @realmadrid: 🏆 1956 🏆 1957 🏆 1958 🏆 1959 🏆 1960 🏆 1966 🏆 1998 🏆 2000 🏆 2002 🏆 2014 🏆 2016 🏆 2017 🏆 2018 🏆 2022 #CHAMP14NS
RT @Casemiro: He vivido la historia más maravillosa que jamás pensé. Espero volver algún día a la que siempre será mi casa. Ni en mil vidas…
Key Insights & Takeaways
paugr often highlights key moments in sports history and their significance. They frequently compare top football teams, emphasizing Real Madrid's dominance. Their content is highly engaging, with a focus on fan interaction and debate.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 200,029
- + 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 @paugr reveals an well-established Twitter presence with 200,029 followers. The account demonstrates a content-creator strategy, averaging 527.4 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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