Manoel de Tezanos Pinto ⚽️
Me gusta el fútbol. Mucho. Hablo del #Balong en @YouTube, @deportes921 y @TNTSportsCL. Índice de seriedad de mis tuits: 45.6%
229,229
Followers
2,573
Following
54,956
Tweets
479.7
Avg Engagement
655
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ManuelDTP'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:2009-05-06
- Verification:No
- Location:Chile
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:167.7
- Avg Retweets per Tweet:311.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,242 tweetsHis tweets receive an average of 6,644 likes and 1,079 retweets, indicating a strong level of interaction. The engagement is consistent with his content style and audience interest.
167.7
Avg Likes/Tweet
311.9
Avg Retweets/Tweet
543,756
Total Likes
1,011,334
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
148
75th Percentile
90,228
Top Tweet
2.09
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
34.3%
Original
45.5%
Replies
17.8%
Retweets
2.5%
Quotes
0.0%
Threads
0.0%
With Media
35.8%
With Links
24.2%
With #Tags
65.4%
With @Mentions
6.9%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.33
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.8%
Weekday Posts
23.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 577 retweets (18% 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 3,242 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 is likely football fans in Chile, especially those interested in youth teams and league discussions. They are engaged with his content and follow his analysis and commentary.
Average
Audience Quality
29.2%
Suspicion Index
37.1%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.8%
Empty Bio
38.4%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
64.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
26.3%
<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.
29,510,397
Total Potential Reach
9
Median Follower Reach
51
75th Percentile Reach
2.8%
>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).
38.0%
Creators
18,999 accounts
23.6%
Consumers
11,793 accounts
38.4%
Dormant
19,208 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):
51
Verified Followers
0.05% of total
7,942
Protected Accounts
7.86% of total
6 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 | 14,100,296 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Cooperativa | 3,449,284 | News broadcaster | Podcast, Noticias, Voz |
| @thecliniccl | 2,159,678 | News Outlet | Reportajes, noticias, humor |
| @miguelhotero | 1,929,430 | Journalist | Politics, Journalism, Leadership |
| @soledadobrien | 1,317,847 | Journalist | working, mom, journalist |
| @officialmcafee | 1,126,206 | Entrepreneur | women, adventure, mystery |
| @giraltpablo | 1,023,339 | Sports Journalist | Fútbol, TV, Radio |
| @LeBronJames | 1,004,875 | - | - |
| @CSuiteConfess | 1,002,926 | Executive Coach | #MeToo, Executives, Navigating |
| @titopuccettic | 838,530 | Sports Journalist | fútbol, televisión, radio |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,063
Followers With Bio
46,930
Followers Without Bio
53.53%
% With Bio
46.47%
% 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 3,242 analyzed349,319
Combined Engagement
0
Total Likes
349,319
Total Retweets
69,864
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @UEFA: Following the medical emergency involving Denmark’s player Christian Eriksen, a crisis meeting has taken place with both teams an…
RT @ProjectLincoln: Ok. Who made this? It's genius. https://t.co/EkwG2RlDel
RT @ErlingHaaland: Everything you see any player doing, Pelé did it first. RIP ⚽️🤴🏿 https://t.co/SeW0z1hQTm
RT @StephenKing: https://t.co/pVxCI86csy
RT @petercrouch: Incredible from Mbappe but I was doing this shit in 2006 https://t.co/eaRIH90Fgc
Key Insights & Takeaways
His tweets often focus on Chilean football and related controversies. He frequently comments on youth teams and their performance. He uses a mix of serious and casual language, reflecting his personal style.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 229,229
- + High community engagement through conversations
- + 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 @ManuelDTP reveals an well-established Twitter presence with 229,229 followers. The account demonstrates a conversation-first approach, averaging 479.7 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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