ソフト９９コーポレーション【公式】
カーケア用品のソフト99コーポレーションです。カーケアに関する情報を中心にお届けしています。DMには対応していません。「クルマを愛するすべての人へ」スペシャルムービー公開中。https://www.youtube.com/playlist?list=PLwZG8H08pU1BkN-r5PpLTevvujOev7h-9&si=U
74,705
Followers
5,144
Following
43,632
Tweets
94.5
Avg Engagement
324
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SOFT99_PR'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:2010-03-02
- Verification:No
- Location:大阪市中央区
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:24.2
- Avg Retweets per Tweet:70.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,244 tweets平均每次推文获得约1000次点赞和250次转发，显示出一定的用户互动水平。
24.2
Avg Likes/Tweet
70.2
Avg Retweets/Tweet
78,639
Total Likes
227,812
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
51
75th Percentile
31,418
Top Tweet
1.26
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
27.4%
Original
55.9%
Replies
13.4%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
49.5%
With Links
9.0%
With #Tags
61.1%
With @Mentions
22.4%
With Emojis
97
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.04
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
98.1%
Weekday Posts
1.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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.
The 435 retweets (13% 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 3,244 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 followers目标受众为汽车爱好者和车主，尤其是关注车辆清洁与保养的群体。
Average
Audience Quality
26.4%
Suspicion Index
15.7%
Low-Quality %
96
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.4%
Empty Bio
4.3%
<10 Tweets
45.4%
Mass Following (>2K)
0.0%
New (<90 days)
55.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.4%
No URL
3.0%
<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.
7,952,693
Total Potential Reach
96
Median Follower Reach
371
75th Percentile Reach
12.9%
>1K followers
1.1%
>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).
90.8%
Creators
9,085 accounts
4.9%
Consumers
489 accounts
4.3%
Dormant
426 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):
56
Verified Followers
0.56% of total
546
Protected Accounts
5.46% of total
6 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 |
|---|---|---|---|
| @3COINS_news | 192,554 | Retail | New products, restock, store locations |
| @Fritolay_JP | 173,816 | Snack Manufacturer | Snack, Manufacturer, Campaign |
| @kohnan_official | 144,887 | Retail | DIY, Home Improvement, Camping |
| @irisohyama_info | 132,948 | Company | innovation, love, customer satisfaction |
| @tenkei_seika | 127,096 | Confectioner | sweets, confectionery, cozy |
| @gunze_jp | 122,189 | Apparel | Innerwear, Bras, Socks |
| @responsejp | 111,609 | Automotive News | Cars, Bikes, New Vehicles |
| @CRECIA_JP | 108,514 | Paper Industry | Tissue, Toilet paper, Giveaways |
| @Toei_kansai | 107,609 | Entertainment | Movies, TV, Events |
| @hanebisho | 103,527 | Gift Specialist | Gifts, Family, Royalty |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,167
Followers With Bio
2,833
Followers Without Bio
71.67%
% With Bio
28.33%
% 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 3,244 analyzed78,083
Combined Engagement
0
Total Likes
78,083
Total Retweets
15,617
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @kao_attackjp: 布団や毛布など大物を少し早く乾かす知恵として三角干しという手法があります。通気が良くなり、水滴も角になった部分に集まるので普通に干すより乾きやすくなります。これからもっと涼しくなり洗濯物も渇きにくくなると思うので、もし覚えていたらお試しください https://t.co/sX86D9eZR0
RT @wni_jp: ＜関東甲信、東海、九州南部が梅雨明け＞ 今日6月27日(月)、気象台から関東甲信地方、東海地方、九州南部地方の梅雨明けが発表されました。各地とも平年より早い梅雨明けで、梅雨の期間は史上最短を更新しています。 今年は猛暑や水不足等が心配な夏となりそうです。 https://t.co/SwcaFbz3qs https://t.co/M1LrhEmcwv
RT @wni_jp: 【梅雨入り発表】 今日5月29日(月)11時、気象台より九州北部地方・四国地方・中国地方・近畿地方・東海地方が梅雨入りしたとみられると発表がありました。 各地とも平年より一週間ほど早く、昨年と比べると二週間前後早い梅雨入りの発表です。 https://t.co/YCGDap8kfj https://t.co/yEhciJTvmp
RT @oscaaclove: Twitterのアイコンに突如現れた犬は、かぼすちゃんという名前の”Doge”というネットミームで世界的に有名になった柴犬です。殺処分される寸前だったところを引き取られた保護犬だそうです。昨年12月末は重病で危篤状態でしたが、無事回復しました。よかったです。 https://t.co/8F5HTi8Xki
RT @UN_NERV: 【梅雨の時期に関する関東甲信地方気象情報】 関東甲信地方は梅雨入りしたと見られます。
Key Insights & Takeaways
账号内容聚焦于解决车主日常遇到的清洁和保养难题，如刹车粉尘、车底污渍和雨天视线问题。 推文强调产品的高效性和对车辆的保护，以吸引注重实用性的用户。 通过提供具体产品解决方案，增强用户信任和购买意愿。
Strengths
- + Established follower base of 74,705
- + 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 @SOFT99_PR reveals an growing Twitter presence with 74,705 followers. The account demonstrates a conversation-first approach, averaging 94.5 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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