Flavia Pennetta
Twitter Official - Giocatrice di Tennis Professionista e innamorata del mio lavoro!!!!
385,149
Followers
290
Following
3,516
Tweets
438.0
Avg Engagement
1,110
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @flavia_pennetta'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:2011-12-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,136
- Avg Likes per Tweet:39.7
- Avg Retweets per Tweet:398.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,136 tweetsHer tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in her content.
39.7
Avg Likes/Tweet
398.2
Avg Retweets/Tweet
124,623
Total Likes
1,248,901
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
9
Median Retweets
78
75th Percentile
771,821
Top Tweet
1.14
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
39.4%
Original
21.7%
Replies
38.7%
Retweets
0.1%
Quotes
0.0%
Threads
0.1%
With Media
48.2%
With Links
19.9%
With #Tags
68.8%
With @Mentions
35.5%
With Emojis
96
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.1%
Weekday Posts
32.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,136 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 1,215 retweets (39% 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 3,136 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 tennis fans, followers of her personal life, and sports enthusiasts.
Below Average
Audience Quality
44.3%
Suspicion Index
65.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
73.2%
Empty Bio
70.5%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
86.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
58.2%
<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.
28,370,044
Total Potential Reach
2
Median Follower Reach
11
75th Percentile Reach
1.2%
>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).
16.3%
Creators
8,169 accounts
13.2%
Consumers
6,596 accounts
70.5%
Dormant
35,235 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):
99
Verified Followers
0.1% of total
3,978
Protected Accounts
3.98% of total
7 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 | 14,104,039 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,035,971 | - | - |
| @Radio105 | 1,377,643 | Radio Host | Music, Entertainment, Diversity |
| @JoeyBats19 | 1,049,123 | Baseball Player | Baseball, Philanthropy, Sports |
| @SABreakingNews | 950,587 | News Outlet | News, South Africa, Breaking |
| @chetempochefa | 556,804 | - | - |
| @roundbooty02 | 538,401 | Fitness influencer | Booty, Fitness, Glamour |
| @Clijsterskim | 476,737 | Tennis Player | Tennis, Mom, Fitness |
| @wefollowbackd | 457,146 | Football Blogger | Football, News, Sport |
| @YosefMel | 433,907 | Political Commentator | Trump, MAGA, Vinotintista |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
25,611
Followers With Bio
74,389
Followers Without Bio
25.61%
% With Bio
74.39%
% 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 3,136 analyzed1,127,842
Combined Engagement
4,437
Total Likes
1,123,405
Total Retweets
225,568
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: Four more years. http://t.co/bAJE6Vom
RT @kobebryant: Last night was the final chapter to an incredible story. I walk away at peace knowing my love for the game & this city will…
RT @andy_murray: Can't believe what's just happened!!!!!!!
RT @ABC: Teacher has unique handshakes with each student. "It was just one or two students and then it became contagious.” https://t.co/0Lr…
Tutti a casina 😍😍😍 Un nuovo inizio per NOI 3!!!! F❤️F❤️ F❤️ @fabiofogna https://t.co/yH1sGr09Ks
Key Insights & Takeaways
She frequently shares personal and emotional updates, which resonate well with her audience. Her content often includes family and relationship milestones, highlighting her personal life. She collaborates with other public figures, such as Naomi Osaka, which boosts her engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 385,149
- + 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 @flavia_pennetta reveals an well-established Twitter presence with 385,149 followers. The account demonstrates a content-creator strategy, averaging 438.0 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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