Mauricio Pinilla 🇨🇱
Conductor de televisión, comentarista deportivo en radio y tv! @tvn @espnfutbolchile @deportes921
1,092,854
Followers
830
Following
15,825
Tweets
589.6
Avg Engagement
1,281
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pinigol51'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:2011-07-02
- Verification:No
- Location:Santiago, Chile
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:42.0
- Avg Retweets per Tweet:547.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsHis tweets typically receive thousands of likes and retweets, indicating a highly engaged audience. The content often generates significant interaction and debate.
42.0
Avg Likes/Tweet
547.6
Avg Retweets/Tweet
134,503
Total Likes
1,752,350
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
5
75th Percentile
553,735
Top Tweet
0.54
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
1.9%
Original
23.4%
Replies
74.7%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
17.7%
With Links
49.6%
With #Tags
99.2%
With @Mentions
48.2%
With Emojis
106
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
12.3
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
30.7%
Weekday Posts
69.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 2,389 retweets (75% 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 3,200 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 followersHis audience includes sports fans, Chilean citizens, and individuals interested in public discourse. He also reaches people who follow news and commentary on social media.
Average
Audience Quality
31.8%
Suspicion Index
39.9%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.5%
Empty Bio
47.1%
<10 Tweets
8.0%
Mass Following (>2K)
0.0%
New (<90 days)
65.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
34.2%
<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.
34,708,003
Total Potential Reach
7
Median Follower Reach
69
75th Percentile Reach
6.1%
>1K followers
0.5%
>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).
33.2%
Creators
16,611 accounts
19.7%
Consumers
9,846 accounts
47.1%
Dormant
23,543 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):
97
Verified Followers
0.1% of total
6,804
Protected Accounts
6.74% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,440,407 | Journalist | Football, Transfers, News |
| @Lafrangh | 888,651 | Influencer | Family, Motherhood, Parenting |
| @joseantoniokast | 761,723 | Politician | politics, law, conservative |
| @EASPORTSEsp | 669,145 | - | - |
| @iamdelafuente | 634,032 | Actor | Chileno, Actor, Padre |
| @followersyacom | 495,322 | Social Media Manager | Social Media, Marketing, Descuento |
| @Moreno | 430,212 | Influencer | Business, Manager, Serious |
| @alfombraroja_13 | 429,756 | Influencer | Tendencias, Moda, Belleza |
| @OnlyVikingos | 398,607 | Football Fan | Football, Real Madrid, Passion |
| @CagliariCalcio | 384,155 | Football Club | Football, Champions, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,362
Followers With Bio
43,637
Followers Without Bio
56.79%
% With Bio
43.21%
% 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 3,200 analyzed1,138,673
Combined Engagement
0
Total Likes
1,138,673
Total Retweets
227,735
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @Pele: A inspiração e o amor marcaram a jornada de Rei Pelé, que faleceu no dia de hoje. Amor, amor e amor, para sempre. . Inspiration…
RT @Cristiano: https://t.co/vRNVCoegOW
RT @FabrizioRomano: OFFICIAL. Cristiano Ronaldo joins Manchester United, official statement from club announces. He’s BACK. 🔴🇵🇹 #MUFC #Rona…
RT @ManCity: Manchester City can confirm that we have reached an agreement in principle with Borussia Dortmund for the transfer of striker…
Key Insights & Takeaways
He frequently discusses topics related to sports, law, and public policy, which indicates a focus on social and political issues. His tweets often include links to articles or videos, suggesting he shares news and commentary. He uses Spanish and includes Chilean flags and hashtags, indicating a strong national identity and local focus.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,092,854
- + 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 @pinigol51 reveals an well-established Twitter presence with 1,092,854 followers. The account demonstrates a conversation-first approach, averaging 589.6 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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