Catherine Fulop
Catherine Fulop´s Official Twitter Site. Actriz Venezolana. SnapChat: catherine.fulop https://www.facebook.com/pages/Catherin… Contrataciones o propuestas
1,573,760
Followers
3,936
Following
106,100
Tweets
90.5
Avg Engagement
2,513
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @catherine_fulop'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:2010-06-17
- Verification:No
- Location:Buenos Aires, Argentina
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:14.9
- Avg Retweets per Tweet:75.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,222 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction and support.
14.9
Avg Likes/Tweet
75.6
Avg Retweets/Tweet
47,928
Total Likes
243,598
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
5
Median Retweets
25
75th Percentile
31,524
Top Tweet
0.06
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
8.0%
Original
7.6%
Replies
77.0%
Retweets
7.4%
Quotes
0.0%
Threads
0.0%
With Media
55.5%
With Links
43.9%
With #Tags
90.6%
With @Mentions
36.1%
With Emojis
106
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.8%
Weekday Posts
19.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 2,482 retweets (77% 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 3,222 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 includes fans of her acting career and individuals interested in her personal life and social causes.
Average
Audience Quality
30.8%
Suspicion Index
36.6%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.5%
Empty Bio
42.2%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
71.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
28.8%
<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.
36,185,361
Total Potential Reach
8
Median Follower Reach
49
75th Percentile Reach
2.2%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
34.9%
Creators
17,459 accounts
22.9%
Consumers
11,430 accounts
42.2%
Dormant
21,111 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):
105
Verified Followers
0.1% of total
11,092
Protected Accounts
11.09% 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 | 14,105,517 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TVN | 3,423,159 | Media | TV, noticias, entretenimiento |
| @jguaido | 2,661,749 | Politician | politics, Venezuela, engineering |
| @PauDybala_JR | 2,410,267 | - | - |
| @kevsho9 | 1,734,788 | Actor | actuar, kevin, me gusta |
| @emimernes_ | 1,513,000 | Model | Cats, Underground Music, Emilia |
| @MJDuzan | 1,396,209 | Periodista | journalism, YouTube, subscriptions |
| @Albert_Rivera | 1,198,072 | Politician | Politics, Freedom, Love |
| @giraltpablo | 1,021,802 | Sports Journalist | Fútbol, TV, Radio |
| @PabloAgustin | 982,228 | Influencer | Fashion, Lifestyle, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,362
Followers With Bio
43,638
Followers Without Bio
56.36%
% With Bio
43.64%
% 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 3,222 analyzed87,376
Combined Engagement
0
Total Likes
87,376
Total Retweets
17,475
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @FabrizioRomano: …and this is how AS Roma unveiled Paulo Dybala as new signing tonight, in front of their fans 🟡🔴 #ASRoma @OfficialASRo…
RT @pia_dmn: Quién este? Quiero que no pueda salir a la calle sin que le tiren el primer objeto cortante que encuentren en la via pública h…
RT @NicolasDarfe: Para mi, Dybala es el hijo de Scaloni que vino del futuro. En su línea temporal Francia salió campeón y Messi se lesionó…
RT @HistorieEnFotos: En Argentina hay una bonita costumbre de cuando un niño o niña no encuentra a sus padres en una zona pública, alguien…
RT @Matias_Gusso: Mirko y Marley Jajajajajaja https://t.co/krzYzpuQWr
Key Insights & Takeaways
She often shares emotional and heartfelt messages that resonate with her followers She promotes charitable actions, such as providing water for stray dogs She collaborates with other influencers and public figures to expand her reach
Strengths
- + Established follower base of 1,573,760
- + 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 @catherine_fulop reveals an growing Twitter presence with 1,573,760 followers. The account demonstrates a content-creator strategy, averaging 90.5 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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