107,104
Followers
318
Following
1,944
Tweets
1,445.2
Avg Engagement
204
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Pedroporro29_'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:2015-01-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,790
- Avg Likes per Tweet:1,134.3
- Avg Retweets per Tweet:310.9
- Followers Analyzed:10,999
Engagement Analysis
Based on 1,790 tweetsThe user's tweets consistently receive high engagement, indicating a loyal and active fan base. Their use of hashtags and mentions of other clubs suggests a broader sports community interest.
1,134.3
Avg Likes/Tweet
310.9
Avg Retweets/Tweet
2,030,402
Total Likes
556,549
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
19
Median Retweets
1,323
75th Percentile
57,274
Top Tweet
13.49
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
29.3%
Original
14.9%
Replies
51.4%
Retweets
4.4%
Quotes
0.0%
Threads
0.0%
With Media
66.1%
With Links
21.7%
With #Tags
90.9%
With @Mentions
79.8%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.51
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,790 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 920 retweets (51% 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 1,790 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 10,999 followersThe audience appears to be football fans, especially those supporting Tottenham Hotspur, given the frequent mentions of the club. The user's content is likely shared by fans looking for updates and excitement.
Average
Audience Quality
24.2%
Suspicion Index
33.5%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.5%
Empty Bio
29.7%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
50.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
20.5%
<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.
2,646,623
Total Potential Reach
23
Median Follower Reach
116
75th Percentile Reach
3.3%
>1K followers
0.2%
>10K followers
0.0%
>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).
50.0%
Creators
5,503 accounts
20.3%
Consumers
2,231 accounts
29.7%
Dormant
3,265 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):
24
Verified Followers
0.22% of total
1,310
Protected Accounts
11.91% of total
4 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 |
|---|---|---|---|
| @minariboy | 184,253 | Football Commentator | MBC, tvN, football |
| @greg_jenner | 137,835 | - | - |
| @JamesOlley | 130,170 | Sports Journalist | Football, Writing, Awards |
| @mrt_510 | 55,234 | - | - |
| @retro_bowl | 48,168 | Game Developer | gaming, iOS, Android |
| @dermotmcorrigan | 45,972 | Sports Journalist | Football, Madrid, Writing |
| @Uherry14 | 41,115 | - | - |
| @dresetta | 32,636 | - | - |
| @VaiBhardwaj | 30,861 | - | - |
| @tiffaniafifa | 29,346 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,882
Followers With Bio
5,117
Followers Without Bio
53.48%
% With Bio
46.52%
% 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 1,790 analyzed228,424
Combined Engagement
40,579
Total Likes
187,845
Total Retweets
45,685
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @rolandgarros: Rafa-Garros 🇪🇸🏆 https://t.co/0iC9GYREvt
RT @CasillasWorld: #UnaVida http://t.co/yAPs1yJ9iQ
RT @albertordguezz: Me ha costado mucho entender que hay cosas que no dependen de mi por mucho que lo intente
I have arrived, to work, and may there be many victories and conquests! let's go guys .💙 #COYS @SpursOfficial https://t.co/r4FhGIKkH7
RT @SeFutbolFem: 🔝¡¡¡SOMOS CAMPEONAS DEL MUNDO!!! 🔝 ¡¡¡SIIIIIIIIII!!! ¡¡¡VAMOSSSSS!!! ¡¡¡SOMOS DE ORO!!!🥇 ¡¡¡Esto es HIS-TÓ-RI-CO!!! ¡¡¡El mayor hito del fútbol femenino español!!!👏🏻 ¡¡¡RT Y QUE SE ENTERE TODO EL MUNDO!!! #Campeonísimas 🇪🇸 - 🇲🇽 | 94' | 2-1 | #U17WWC | #Todas
Key Insights & Takeaways
The user is highly engaged with their audience and frequently shares positive, celebratory content. Their tweets often include emojis and hashtags, which likely contribute to their high engagement. They have a strong connection to Tottenham Hotspur and frequently reference the club's official account.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,104
- + 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 @Pedroporro29_ reveals an exceptionally influential Twitter presence with 107,104 followers. The account demonstrates a content-creator strategy, averaging 1,445.2 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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