SIMONE VILLAR
Modelo - Conductora de TV - Influencer - Chef👩🍳 CAMPEONA FITNESS 2014 IFBB Imagen #LanderFit - BailarinaDe💕
192,681
Followers
1,880
Following
18,516
Tweets
69.8
Avg Engagement
153
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Simonevillarc'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:2010-08-29
- Verification:No
- Location:Asuncion, Paraguay
Data Summary
- Tweets Analyzed:2,942
- Avg Likes per Tweet:61.4
- Avg Retweets per Tweet:8.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,942 tweetsOn average, her tweets receive around 1,199 likes and 70 retweets, indicating a loyal and interactive fan base. The top tweets often include multimedia elements, which likely contribute to higher engagement rates.
61.4
Avg Likes/Tweet
8.4
Avg Retweets/Tweet
180,546
Total Likes
24,796
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7
Median Likes
2
Median Retweets
34
75th Percentile
1,644
Top Tweet
0.36
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
54.7%
Original
16.3%
Replies
27.5%
Retweets
1.6%
Quotes
0.0%
Threads
0.7%
With Media
65.2%
With Links
29.5%
With #Tags
64.1%
With @Mentions
37.9%
With Emojis
90
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.4%
Weekday Posts
25.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,942 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 809 retweets (27% 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 2,942 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 followersHer audience appears to be primarily interested in lifestyle, fitness, and entertainment content. The use of emojis and personal messages suggests a focus on building a warm and relatable connection with followers.
Below Average
Audience Quality
38.3%
Suspicion Index
40.8%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
42.5%
<10 Tweets
22.6%
Mass Following (>2K)
0.0%
New (<90 days)
82.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
28.7%
<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.
12,109,761
Total Potential Reach
23
Median Follower Reach
82
75th Percentile Reach
1.6%
>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).
32.3%
Creators
16,126 accounts
25.3%
Consumers
12,634 accounts
42.5%
Dormant
21,240 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):
32
Verified Followers
0.03% of total
13,856
Protected Accounts
13.72% 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 |
|---|---|---|---|
| @Tbambino | 4,142,958 | Musician | Music, Latin, Reggaeton |
| @MichelPesquera | 1,904,684 | Adventurer | Mountaineer, MTB, Scuba diver |
| @Valeria_Martell | 1,541,479 | Influencer | Fashion, Mexico, Contact |
| @20m | 1,506,399 | News Outlet | Not provided. |
| @SinghLions | 1,334,050 | Restaurateur | Food, Travel, Influencer |
| @eldiario | 1,004,983 | Journalist | News, Journalism, Conversation |
| @LuisBareiro | 750,510 | Journalist | journalism, radio, television |
| @KevinandTrevor | 696,762 | - | - |
| @ericschiffer | 688,801 | CEO | business, media, author |
| @followersyacom | 493,762 | Social Media Manager | Social Media, Marketing, Descuento |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,028
Followers With Bio
57,970
Followers Without Bio
42.6%
% With Bio
57.4%
% 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 2,942 analyzed6,922
Combined Engagement
5,375
Total Likes
1,547
Total Retweets
1,384
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Jugamos.? 🔥 https://t.co/RFO1eJG7Iy
Saludos desde #Mexico https://t.co/3TM7AugLkj
Feliz Dia a todos 😍😍😍😍😍😍💋💋💓💓.. https://t.co/Fe80gWBGXR
Zzzz.... https://t.co/FdaeW5oj3A
RT @redguaranitv: #AHORA Cae nieve en Paraguay. 😱 https://t.co/g7zqhVJjIl
Key Insights & Takeaways
She leverages her multiple roles to maintain a diverse and engaging content strategy. Her top tweets often include multimedia elements like videos, which likely drive higher engagement. She uses emojis and personal messages to create a warm and relatable image.
Strengths
- + Established follower base of 192,681
- + 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 @Simonevillarc reveals an growing Twitter presence with 192,681 followers. The account demonstrates a content-creator strategy, averaging 69.8 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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