PATRÍCIA LEITTE 🔥
®Perfil Oficial da Patrícia Leitte 🎭 Insta 👉🏻@patricialeitteoficial📍Digital Influencer 📩[email protected] 📫
87,117
Followers
840
Following
10,164
Tweets
418.1
Avg Engagement
36
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PatriciaLeitte_'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: Mid-Tier (10K+)
- Account Age:2015-04-26
- Verification:No
- Location:Fortaleza
Data Summary
- Tweets Analyzed:3,169
- Avg Likes per Tweet:209.6
- Avg Retweets per Tweet:208.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,169 tweetsPatrícia's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Her content is well-received and often shared, contributing to her growing influence.
209.6
Avg Likes/Tweet
208.4
Avg Retweets/Tweet
664,374
Total Likes
660,540
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
1
Median Retweets
65
75th Percentile
113,705
Top Tweet
4.8
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
53.4%
Original
28.9%
Replies
9.6%
Retweets
8.2%
Quotes
0.0%
Threads
0.1%
With Media
41.5%
With Links
12.7%
With #Tags
48.6%
With @Mentions
25.2%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
0.86
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,169 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 303 retweets (10% 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 3,169 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 10,000 followersHer audience is primarily young adults interested in entertainment, humor, and celebrity culture. They are active on social media and enjoy interactive and light-hearted content.
Average
Audience Quality
24.6%
Suspicion Index
27.5%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
26.6%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
46.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.2%
No URL
17.4%
<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.
13,117,543
Total Potential Reach
66
Median Follower Reach
406
75th Percentile Reach
14.0%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.5%
Creators
5,650 accounts
16.9%
Consumers
1,690 accounts
26.6%
Dormant
2,660 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):
41
Verified Followers
0.41% of total
1,082
Protected Accounts
10.82% of total
4 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 |
|---|---|---|---|
| @taoquei1 | 2,036,072 | Influencer | opinions, respect, Brazil |
| @Damadeferroofic | 978,051 | - | - |
| @andreporci | 560,867 | Politician | Culture, Police, Telegram |
| @andrefernm | 450,387 | - | - |
| @VlogdoLisboa | 421,352 | Blogger | Journalism, Blogging, Christianity |
| @nataliadeodato | 328,640 | Reality TV Star | BBB22, banana, nuvens |
| @diferentonabr | 304,578 | Artist | Art, Fashion, Creativity |
| @adsonsrocki | 248,632 | - | - |
| @GugaGayer | 248,243 | Musician | No data provided. |
| @MussumAlive | 210,411 | Influencer | Cocktails, Creator, Reality TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,253
Followers With Bio
3,747
Followers Without Bio
62.53%
% With Bio
37.47%
% 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 3,169 analyzed323,365
Combined Engagement
274,572
Total Likes
48,793
Total Retweets
64,673
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
Mal sabem os que estão na casa que esse paredão não é entre eles lá, mas sim entre eu e o Nego Di pela coroa! 😂😂😂😂😂
Toma que é tua Nego Di 👑 https://t.co/gHGCnPMvFr
Estou em lua de mel, mesmo assim já tô me preparando pra passar a coroa! Hahaha 🤣
Continuo dizendo: quem cava a cova do irmão e cai destrói os corações. 😂😂😂😂😂
RT @juliette: "Você nunca mais vai se sentir sozinha na vida, Juliette. Isso quem diz são seus quase 24 milhões de seguidores nas redes sociais. Porque no pódio do público, você nunca saiu do primeiro lugar.” Sempre com ela, SEMPRE! CONSEGUIMOS! 😭🌵
Key Insights & Takeaways
Her use of humor and relatable content helps build a strong connection with her audience. She frequently references popular culture and reality TV, which aligns with her audience's interests. Her personal and candid posts increase authenticity and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 87,117
- + 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 @PatriciaLeitte_ reveals an well-established Twitter presence with 87,117 followers. The account demonstrates a content-creator strategy, averaging 418.1 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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