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238,271
Followers
633
Following
995,755
Tweets
5.9
Avg Engagement
415
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TYakultCP'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:2019-11-18
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1.8
- Avg Retweets per Tweet:4.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweets账号通过抽奖和互动活动提高用户参与度，平均点赞和转发量较高。内容以生活化和趣味性为主，鼓励用户转发和引用，提升曝光率。
1.8
Avg Likes/Tweet
4.0
Avg Retweets/Tweet
5,986
Total Likes
13,058
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
15,938
Top Tweet
0.02
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
0.5%
Original
99.5%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
100.0%
With Links
99.8%
With #Tags
99.4%
With @Mentions
99.8%
With Emojis
190
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
202.06
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
45.0%
Weekday Posts
55.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
Posting Patterns & Optimal Timing
Based on 3,250 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 followers主要受众为关注健康和美容的用户，尤其是对乳酸菌产品感兴趣的群体。同时，也吸引对促销活动和抽奖感兴趣的普通消费者。
Average
Audience Quality
20.9%
Suspicion Index
16.9%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.9%
Empty Bio
3.1%
<10 Tweets
20.3%
Mass Following (>2K)
0.0%
New (<90 days)
59.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
2.0%
<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.
19,159,743
Total Potential Reach
39
Median Follower Reach
205
75th Percentile Reach
8.0%
>1K followers
0.3%
>10K followers
0.0%
>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).
91.9%
Creators
45,948 accounts
5.0%
Consumers
2,496 accounts
3.1%
Dormant
1,556 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):
142
Verified Followers
0.14% of total
4,141
Protected Accounts
4.1% of total
5 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 |
|---|---|---|---|
| @k2smz | 457,077 | Singer | music, singing, audio engineering |
| @kingjim | 450,014 | Stationery Manufacturer | stationery, office supplies, news |
| @shinshoga | 190,077 | Entrepreneur | music, ginger, recipes |
| @taguchi90 | 165,315 | Baseball Player | baseball, sports, Tokyo Yakult Swallows |
| @virtualworks1 | 158,220 | Cognitive Scientist | brainwashing, cognitive science, virtual doctor |
| @CACAOCAT_ | 129,555 | Chocolatier | chocolate, cats, Hokkaido |
| @horahareta13 | 106,180 | Comedian | 阪神タイガース, ラジオ, お肉 |
| @ogawa_haru_ | 103,962 | - | - |
| @namco_prize | 102,235 | Prize distributor | Video games, prizes, entertainment |
| @hanebisho | 102,225 | Gift Specialist | Gifts, Family, Royalty |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
67,007
Followers With Bio
33,987
Followers Without Bio
66.35%
% With Bio
33.65%
% 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 3,250 analyzed17,716
Combined Engagement
4,908
Total Likes
12,808
Total Retweets
3,543
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
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Key Insights & Takeaways
账号通过抽奖活动提高用户参与度和关注量 内容以健康和生活化为主，符合目标受众兴趣 定期发布促销信息，增强品牌曝光和用户粘性
Strengths
- + Established follower base of 238,271
- + High community engagement through conversations
- + 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 @TYakultCP reveals an growing Twitter presence with 238,271 followers. The account demonstrates a conversation-first approach, averaging 5.9 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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