パトリック🇯🇵patric🇧🇷
Kyoto sanga 9
89,819
Followers
177
Following
365
Tweets
5,273.5
Avg Engagement
471
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @patricaguiar'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:2011-03-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:338
- Avg Likes per Tweet:4,888.6
- Avg Retweets per Tweet:385.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 338 tweetsHer tweets receive high engagement, with an average of 30,708 likes and 3,555 retweets per tweet. This indicates a strong and active community around her content.
4,888.6
Avg Likes/Tweet
385.0
Avg Retweets/Tweet
1,652,331
Total Likes
130,116
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3,309
Median Likes
197
Median Retweets
5,751
75th Percentile
66,119
Top Tweet
58.71
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
96.7%
Original
0.0%
Replies
1.2%
Retweets
2.1%
Quotes
0.0%
Threads
0.0%
With Media
76.6%
With Links
10.1%
With #Tags
4.1%
With @Mentions
91.7%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.75
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
58.0%
Weekday Posts
42.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 338 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 4 retweets (1% 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 338 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 appears to be fans of Japanese culture, games, and sports, particularly those interested in Kyoto Sanga FC. She also engages with a broader group of supporters and followers.
Good
Audience Quality
19.9%
Suspicion Index
25.4%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.4%
Empty Bio
22.4%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
41.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
14.4%
<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.
4,258,197
Total Potential Reach
46
Median Follower Reach
213
75th Percentile Reach
4.4%
>1K followers
0.4%
>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).
58.1%
Creators
5,810 accounts
19.5%
Consumers
1,948 accounts
22.4%
Dormant
2,242 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):
34
Verified Followers
0.34% of total
1,692
Protected Accounts
16.92% 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 |
|---|---|---|---|
| @IamMzilikazi | 551,066 | Musician | Pan-African music, Album, Rise |
| @AliceProject_mb | 357,787 | Idol | Music, Idol, Performance |
| @cerisier_tokyo | 154,028 | - | - |
| @taiikukaitv | 129,820 | TV Show Host | Sports, Athletes, Entertainment |
| @mori_shio | 120,210 | Sports Reporter | soccer, J-League, Japan代表 |
| @kamechan7407 | 92,994 | Mascot | Drums, Mascot, Cats |
| @sangafc | 79,102 | Sports Team | Football, J-League, Kyoto |
| @shinsekaihero | 57,242 | - | - |
| @Chiitan_Osaka | 52,299 | - | - |
| @chiitankiss | 48,406 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,361
Followers With Bio
3,639
Followers Without Bio
63.61%
% With Bio
36.39%
% 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 338 analyzed225,365
Combined Engagement
204,427
Total Likes
20,938
Total Retweets
45,073
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
日本ナイス。日本大好き🇯🇵❤ https://t.co/NmnE6tBHJQ
日本ナイスゲーム。🇯🇵😅💪❤️ https://t.co/O5mx9vUBas
みんなに迷惑をかけてしまった事をお詫び申し上げます。チームを苦しめる事は決してしません。僕は下を向かずチームとみんなの為に、チームをいつも応援してくださっているファンのために戦います！ もう一度ごめんなさい！🙇🏽♂️🙇🏽♂️😓😭
僕の息子と妻がやった事が信じられない 。🥺 https://t.co/9XTC2UxCaY
日本代表をとても応援してました日本とブラジルの決勝戦見たかったです。その場合僕のサポーターは僕が大好きな国、日本を応援するのはミンナわかってたよね。最後の最後まで戦った選手の皆さんおめでとう、まだメダルのかかった大事なゲームが残っています。僕はミンナを応援していますガンバレ🇯🇵💪
Key Insights & Takeaways
Her top tweets highlight her deep affection for Japan and its games, which likely resonate strongly with her audience. She has expressed regret for causing inconvenience, showing a willingness to apologize and maintain good relations with her followers. Her commitment to supporting her team and fans suggests a strong connection with her community and a desire to remain positive and engaged.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 89,819
- + 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 @patricaguiar reveals an exceptionally influential Twitter presence with 89,819 followers. The account demonstrates a content-creator strategy, averaging 5,273.5 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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