Pilar Smith
journalist / periodista de espectáculos @telefe @net @radiolared
245,110
Followers
2,480
Following
62,966
Tweets
39.2
Avg Engagement
418
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Pilarsmith'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:2010-10-09
- Verification:No
- Location:Argentina
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:7.9
- Avg Retweets per Tweet:31.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsOn average, tweets receive around 667 likes and 192 retweets, showing moderate engagement. The verified status is low, suggesting a mix of personal and professional content.
7.9
Avg Likes/Tweet
31.3
Avg Retweets/Tweet
25,609
Total Likes
101,659
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
32,500
Top Tweet
0.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
6.1%
Original
86.7%
Replies
6.2%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
7.4%
With Links
7.0%
With #Tags
97.3%
With @Mentions
91.6%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
14.29
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 203 retweets (6% 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 3,249 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 likely includes fans of TV shows and celebrities, as well as media professionals interested in entertainment news. They are engaged with content that includes show-related updates and speculation.
Average
Audience Quality
25.5%
Suspicion Index
28.6%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
24.9%
<10 Tweets
11.4%
Mass Following (>2K)
0.0%
New (<90 days)
59.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
14.6%
<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.
135,212,820
Total Potential Reach
27
Median Follower Reach
135
75th Percentile Reach
6.0%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
50.5%
Creators
25,245 accounts
24.6%
Consumers
12,293 accounts
24.9%
Dormant
12,462 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):
273
Verified Followers
0.27% of total
10,325
Protected Accounts
10.22% of total
8 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 | 14,101,335 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AustinMahone | 8,849,365 | Singer | music, fashion, travel |
| @HugoGloss | 5,320,790 | Entertainment Blogger | Entertainment, Beyoncé, Brazil |
| @jesseyjoy | 5,205,012 | Musicians | Music, Touring, Awards |
| @telefe | 3,766,310 | TV Network | La Voz Argentina, MasterChefAR, CocinaTelefe |
| @pabloalboran | 3,743,636 | Singer | Music, Singer, Songwriter |
| @TheVampsband | 3,671,131 | Musicians | music, band, tour |
| @DeLaGhettoReal | 2,497,427 | Musician | Music, Grammy, Booking |
| @carlosbaute | 2,496,318 | Singer | Music, Fatherhood, New Album |
| @BeatsByAssassin | 2,263,384 | Multitalented | Actor, Director, Rapper |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,821
Followers With Bio
50,173
Followers Without Bio
50.32%
% With Bio
49.68%
% 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 3,249 analyzed64,055
Combined Engagement
0
Total Likes
64,055
Total Retweets
12,811
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
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Key Insights & Takeaways
Pilarsmith frequently shares updates about TV shows and celebrity events, indicating a focus on entertainment news. Their tweets often include links to specific content, suggesting they aim to drive traffic to related media. They use hashtags to engage with audiences and spark discussions about show outcomes and celebrity gossip.
Strengths
- + Established follower base of 245,110
- + 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 @Pilarsmith reveals an growing Twitter presence with 245,110 followers. The account demonstrates a conversation-first approach, averaging 39.2 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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