Gabriela Sabatini
Official twitter of Gabriela Sabatini
189,049
Followers
227
Following
2,510
Tweets
1,424.1
Avg Engagement
505
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sabatinigabyok'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:2015-04-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,379
- Avg Likes per Tweet:1,019.0
- Avg Retweets per Tweet:405.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,379 tweetsThe account consistently receives high engagement, suggesting a loyal and active audience. Personal and emotional tweets tend to drive the most interaction.
1,019.0
Avg Likes/Tweet
405.1
Avg Retweets/Tweet
2,424,312
Total Likes
963,655
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
65
Median Likes
32
Median Retweets
881
75th Percentile
125,947
Top Tweet
7.53
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
31.6%
Original
20.6%
Replies
30.1%
Retweets
17.7%
Quotes
0.0%
Threads
0.0%
With Media
58.9%
With Links
39.8%
With #Tags
84.8%
With @Mentions
72.3%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
0.59
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.3%
Weekday Posts
33.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,379 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 716 retweets (30% 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 2,379 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 includes fans and followers interested in her personal life and career. It also includes sports enthusiasts, particularly tennis players and fans.
Average
Audience Quality
21.7%
Suspicion Index
26.6%
Low-Quality %
56
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.8%
Empty Bio
14.1%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
48.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
8.3%
<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.
66,007,284
Total Potential Reach
56
Median Follower Reach
207
75th Percentile Reach
6.8%
>1K followers
0.9%
>10K followers
0.2%
>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).
67.9%
Creators
33,944 accounts
18.0%
Consumers
9,017 accounts
14.1%
Dormant
7,039 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):
222
Verified Followers
0.22% of total
11,845
Protected Accounts
11.73% 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 | 14,100,289 | Wrestler | Wrestling, Motivation, Self-promotion |
| @diegotorres | 4,392,670 | Cantante | Music, Songwriting, Acting |
| @AxelOficial | 3,929,369 | Singer | Singer, Author, Composer |
| @DiarioOle | 3,662,729 | Sports Journalist | Sports, News, Passion |
| @clarincom | 3,486,942 | News | News, Argentina, Journalism |
| @usopen | 2,306,570 | Sports Event | Tennis, Championships, August-September |
| @ClaMarchisio8 | 2,141,499 | Footballer | Calcio, Ambiente, Torino |
| @VarskySports | 2,063,779 | - | - |
| @As_TomasRoncero | 1,757,386 | Journalist | Real Madrid, Deportes, Periodismo |
| @Facundo_Arana | 1,641,798 | Actor | Actor, Music, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,108
Followers With Bio
43,891
Followers Without Bio
56.54%
% With Bio
43.46%
% 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 2,379 analyzed386,788
Combined Engagement
98,959
Total Likes
287,829
Total Retweets
77,358
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @rogerfederer: 🏆20. ❤️ https://t.co/WqUiSo3fd5
RT @gigi_soler: Para quienes no saben, me llamo Giselle Soler y me consagré campeona del mundo hace unos días. Quisiera aprovechar esta opo…
❤️ https://t.co/MoltM2aigt
No existen palabras para describir este momento, tristeza absoluta. Para mi serás eterno. Te adoro para siempre amigo❤️ Descansa en paz #GraciasDiego 💔🙏 https://t.co/GcTw1JNHgp
RT @facucampazzo: RT para que @LScola4 vaya a tokio...
Key Insights & Takeaways
The account often shares deeply emotional and personal messages, which resonate strongly with followers. Personal connections and tributes, such as those to Diego Maradona, generate significant engagement. Interactive content, like proposals to other athletes, encourages direct engagement and conversation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 189,049
- + 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 @sabatinigabyok reveals an exceptionally influential Twitter presence with 189,049 followers. The account demonstrates a content-creator strategy, averaging 1,424.1 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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