まつやとり野菜みそ【公式】🍲
石川県のソウルフード「とり野菜みそ」を製造している株式会社まつや公式Twitter。 ＃まつやとり野菜みそ でツイートお願いします！！ ファンネームは #とりっこ 🍲 #北陸Twitter会 #栄光ブラザーズ 個別のご質問にはお答えいたしかねますので、ご了承ください。
73,768
Followers
1,620
Following
84,646
Tweets
14.4
Avg Engagement
228
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MatsuyaTori'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:2017-08-23
- Verification:No
- Location:石川県かほく市木津ハ14番地2
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:11.0
- Avg Retweets per Tweet:3.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account has a high average engagement rate with likes and retweets, indicating a responsive and interested audience. Campaigns and recipe posts are particularly popular and drive interaction.
11.0
Avg Likes/Tweet
3.4
Avg Retweets/Tweet
35,754
Total Likes
11,145
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
10,455
Top Tweet
0.2
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
3.3%
Original
90.8%
Replies
4.3%
Retweets
1.6%
Quotes
0.0%
Threads
0.0%
With Media
13.2%
With Links
5.8%
With #Tags
94.0%
With @Mentions
13.9%
With Emojis
33
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
27.31
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 140 retweets (4% 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 3,249 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 followersThe primary audience is likely food enthusiasts and residents of Ishikawa Prefecture interested in local cuisine. Followers are also interested in cooking tips and promotions.
Average
Audience Quality
24.4%
Suspicion Index
15.1%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.8%
Empty Bio
2.0%
<10 Tweets
35.2%
Mass Following (>2K)
0.0%
New (<90 days)
61.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
1.4%
<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.
7,637,362
Total Potential Reach
68
Median Follower Reach
315
75th Percentile Reach
12.0%
>1K followers
0.9%
>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).
95.0%
Creators
9,503 accounts
3.0%
Consumers
296 accounts
2.0%
Dormant
201 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):
59
Verified Followers
0.59% of total
231
Protected Accounts
2.31% 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 | 454,065 | Singer | music, singing, audio engineering |
| @AliceProject_mb | 359,382 | Idol | Music, Idol, Performance |
| @TANITAofficial | 327,671 | Company | health, wellness, technology |
| @massi3112 | 163,285 | Food Interpreter | food, interpreter, Japan |
| @ff_ajinomoto | 123,574 | - | - |
| @iamriki2010 | 102,548 | Unknown | N/A |
| @mabinogi_nexon | 97,706 | Gaming | Gaming, Online RPG, Sheep |
| @kamechan7407 | 93,685 | Mascot | Drums, Mascot, Cats |
| @miyabi02294470 | 89,208 | Dairy Farmer | dairy, milk, agriculture |
| @majuniah | 76,341 | Language Teacher | American English, Hearing skills, Channel creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,121
Followers With Bio
2,879
Followers Without Bio
71.21%
% With Bio
28.79%
% 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 3,249 analyzed12,702
Combined Engagement
4,461
Total Likes
8,241
Total Retweets
2,540
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
まつやプレゼントキャンペーン🎁 とり野菜みそは調味料としても大活躍！！ アウトドアでも便利なキャップ付きの とり野菜みそ＆ピリ辛とり野菜みそ350ｇ各1袋 抽選で5名様に #プレゼント 参加条件 フォロー＆ＲＴ 応募〆切 5/31 ＡＭ８時まで #懸賞 #キャンペーン https://t.co/YzawznW58k
石川県で大きな地震がありました。 弊社施設に影響はありませんでした。 ご心配頂いた皆さま、誠にありがとうございます。 ご報告だけさせて頂きます。
製造部Ｙのつぶやき とり野菜みそ鍋の作り方 ①水を入れた鍋に、とり野菜みそを溶かします。 ②具材を入れ、火にかけます。 ③煮立って肉に火が通ったら、とり野菜みそ鍋の完成です。 水の状態でみそを入れるがポイントです！！ ＃まつやとり野菜みそ https://t.co/yc5kgBs8lV
製造部Ｙのつぶやき 金沢駅で見たほっこりする動画 ほっこりしたら、イイねしてね^_^ https://t.co/pdTHCPcfVn
製造部Ｙのつぶやき #とりっこ の皆さま、東京の皆さま、おはみそ^_^ #公式朝ツイ https://t.co/XY3FPWlfKa
Key Insights & Takeaways
The account uses campaigns and giveaways to boost engagement and attract new followers. Content related to recipes and product usage helps educate followers and increase product appeal. Sharing updates about natural disasters and company status builds trust and community connection.
Strengths
- + Established follower base of 73,768
- + 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 @MatsuyaTori reveals an growing Twitter presence with 73,768 followers. The account demonstrates a conversation-first approach, averaging 14.4 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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