【公式】味ぽん@しあわせ、ぽん！
味ぽんの「しあわせ、ぽん！」プロジェクトについて呟きます。DMへの返信は行っておりません。期間限定運用の予定です（変わるかもしれません）。リプライはできないときがあります（でもちゃんと全部見てます！）。キャンペーン用アカウントなので、お問い合わせはこちらへお願いします！https://www.mizkan.co.jp/customer/group/customer.html
19871
Followers
16
Following
58965
Tweets
0,3
Avg Engagement
52
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ajipon_mizkan'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:2022-10-17
- Verification:No
- Location:愛知県半田市
Data Summary
- Tweets Analyzed:3250
- Avg Likes per Tweet:0,2
- Avg Retweets per Tweet:0,0
- Followers Analyzed:19445
Engagement Analysis
Based on 3250 tweetsThe account has average engagement with likes and retweets, indicating a moderate level of interaction. The content is primarily focused on food and personal experimentation.
0,2
Avg Likes/Tweet
0,0
Avg Retweets/Tweet
767
Total Likes
143
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
121
Top Tweet
0,01
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
0,2%
Original
99,7%
Replies
0,0%
Retweets
0,1%
Quotes
0,0%
Threads
0,0%
With Media
3,8%
With Links
99,3%
With #Tags
99,5%
With @Mentions
99,3%
With Emojis
137
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
463,0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
99,6%
Weekday Posts
0,4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3250 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 3250 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 19445 followersThe audience is likely food enthusiasts and those interested in culinary experiments. The content appeals to people looking for creative and easy-to-make recipes.
Average
Audience Quality
28,2%
Suspicion Index
12,3%
Low-Quality %
120
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24,1%
Empty Bio
0,7%
<10 Tweets
56,1%
Mass Following (>2K)
0,0%
New (<90 days)
58,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,1%
No URL
0,5%
<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.
34271027
Total Potential Reach
120
Median Follower Reach
513
75th Percentile Reach
17,4%
>1K followers
1,1%
>10K followers
0,1%
>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).
98,0%
Creators
19055 accounts
1,3%
Consumers
246 accounts
0,7%
Dormant
144 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):
9
Verified Followers
0.05% of total
313
Protected Accounts
1.61% 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 |
|---|---|---|---|
| @JohnCena | 14106604 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201304 | - | - |
| @mizkan_official | 325982 | Food Blogger | sushi, vinegar, recipes |
| @maxellJP | 199060 | Electronics | Within, Future, Analog |
| @shinshoga | 190179 | Entrepreneur | music, ginger, recipes |
| @mr_ito_club | 189019 | Baker | cookies, biscuits, events |
| @mbok_jp | 105432 | Auctioneer | auction, charity, horse racing |
| @Gyozakai_u | 81659 | Food Influencer | Food, Events, Merchandise |
| @hpglty | 66314 | Musician | music, nature, peace |
| @na2k1tty0219 | 62984 | Influencer | お菓子, クレーンゲーム, フォロー推薦 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14762
Followers With Bio
4683
Followers Without Bio
75.92%
% With Bio
24.08%
% 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 3250 analyzed511
Combined Engagement
423
Total Likes
88
Total Retweets
102
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
【33日目】 サバ缶（水煮） これは実は中の人がこの企画やる前からやっていたやつです。缶詰の水気を切って、そのまま味ぽんを入れます。食欲がない時とか、仕事で忙しい時によく食べてます。ほぼ調理要らずで楽です😊 #味ぽんと何かを漬けるぼくの100日間 https://t.co/PVacHbkwQj
【32日目】 クリームチーズ 某チーズを漬けてみました。映えないけどこれはうまい…赤ワインが欲しくなる美味しさ…。まるでブルーチーズみたいな濃厚さが感じられる一品に（言い過ぎ？）。この不思議な組み合わせにハマりそうです。 #味ぽんと何かを漬けるぼくの100日間 https://t.co/b79G3xJV4y
上司「この企画でフォロワー10万人いったらご褒美あげるよ」 ぼく「本当ですか！？（どんなご褒美なんだろう…）」 10万人…いけるのかな…🥱 #味ぽんと何かを漬けるぼくの100日間
【番外編】 会社のみんなには恥ずかしくて言えないのですが、アボカド…実は家で鬼リピしてます…。1ヶ月漬けてきて、今のところ暫定1位です…アボカドが逃げ切るのか…それとも強敵が現れるのか…🤔 皆さんは何が美味しそうだと思いましたか？😂 #味ぽんと何かを漬けるぼくの100日間 https://t.co/6hLs19EGbl https://t.co/k36cnHnLmm
【36日目】 ボイルイカ🦑 そのまま食べられるボイルイカを投入。ご飯に乗せて食べたくなる一品に生まれ変わりました。マヨネーズをつけたら箸が止まらず…すぐ食べきってしまいました…🦑 #味ぽんと何かを漬けるぼくの100日間 https://t.co/WYu70Vednp
Key Insights & Takeaways
The account is centered around a 100-day food marination project, showcasing daily experiments with different ingredients. It emphasizes simplicity and convenience, making the recipes accessible for busy lifestyles. The content is highly personal and interactive, encouraging audience participation and curiosity.
Strengths
- + Established follower base of 19871
- + 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 @ajipon_mizkan reveals an growing Twitter presence with 19871 followers. The account demonstrates a conversation-first approach, averaging 0,3 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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