NifMo@ニフティ公式アカウント
NifMo（にふも）@ニフティ公式アカウントです。新サービスやキャンペーン情報をお届けします。サービスでお困りの際はヘルプデスク（https://t.co/HrV9DT29nZ）までお願いします。
121,069
Followers
23,939
Following
30,405
Tweets
223.9
Avg Engagement
360
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NifMo_Official'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:2015-11-18
- Verification:Yes
- Location:東京都 新宿区
Data Summary
- Tweets Analyzed:3,208
- Avg Likes per Tweet:33.7
- Avg Retweets per Tweet:190.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,208 tweetsThe account has high average likes and retweets, indicating strong audience interaction. Promotional tweets with contests drive significant engagement and participation.
33.7
Avg Likes/Tweet
190.2
Avg Retweets/Tweet
108,051
Total Likes
610,111
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
27
75th Percentile
44,866
Top Tweet
1.85
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
22.8%
Original
67.8%
Replies
6.2%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
25.4%
With Links
12.8%
With #Tags
72.0%
With @Mentions
29.8%
With Emojis
68
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.98
Reply/Original Ratio
0.52
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
96.7%
Weekday Posts
3.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,208 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 200 retweets (6% 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 3,208 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 audience is likely interested in technology, internet services, and promotions. They are active users of Nifty's services and engaged with interactive campaigns.
Average
Audience Quality
22.7%
Suspicion Index
15.6%
Low-Quality %
80
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.0%
Empty Bio
1.6%
<10 Tweets
31.1%
Mass Following (>2K)
0.0%
New (<90 days)
57.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
1.1%
<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.
5,633,378
Total Potential Reach
80
Median Follower Reach
315
75th Percentile Reach
11.2%
>1K followers
0.7%
>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).
95.8%
Creators
9,583 accounts
2.6%
Consumers
256 accounts
1.6%
Dormant
161 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
142
Protected Accounts
1.42% 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 |
|---|---|---|---|
| @mer_uw1 | 127,749 | Traveler | Travel, Freedom, Exploration |
| @lkQDSNT1BhrOCHd | 114,960 | - | - |
| @KirakiramodeM | 71,019 | Fashion Blogger | Fashion, Beauty, Lifestyle |
| @okumura_yuuki | 58,777 | Consultant | Dieting, Buddhism, Consulting |
| @hy590322 | 45,799 | Salesperson | slot machines, sweepstakes, adult male |
| @digimomo2006 | 43,747 | Digital Marketer | anime, gaming, technology |
| @keiphotostudio | 34,345 | - | - |
| @investor0321 | 34,116 | - | - |
| @panna_lovely | 32,158 | - | - |
| @takanobu12345 | 31,270 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,001
Followers With Bio
2,999
Followers Without Bio
70.01%
% With Bio
29.99%
% 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 3,208 analyzed188,043
Combined Engagement
7,257
Total Likes
180,786
Total Retweets
37,609
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @YahooSearchJP: 3.11、検索は応援になる。本日、3月11日にYahoo! JAPANで「3.11」と検索すると、おひとりにつき10円が東北復興のために寄付されます。 #検索は応援になる #Searchfor311
RT @kantei: 新元号公表 https://t.co/pq1tJBk8Wp
RT @bamiyan_CP: ＼ 平成最後のお年玉！ ／ フォロー＆リツイートキャンペーン🌄 #バーミヤン からみなさんへお年玉！ 総勢20名様に3,000円分のお食事券プレゼント🎁 ■応募方法 ①@bamiyan_CP をフォロー ②この投稿をRT 〆切は1/14！ https://t.co/FVCHfibVab
＜お知らせ＞📢 新サービス「@nifty 光 WebLiko」リリース記念🎊 抽選でPS5を2名様へプレゼント！！🎮✨ 【参加方法】 1⃣@NifMo_Official をフォロー 2⃣この投稿をリツイート ⏰8/4木23:59まで #PS5 #ニフティ https://t.co/5QvPS4jKW1
RT @MLBJapan: 【 #侍ジャパン 】日本代表が王座奪還！！！ 2009年以来、3度目の #ワールドベースボールクラシック 優勝を果たしました👏👏👏👏👏👏 おめでとうございます🎉🎉🎉 https://t.co/KXlYzuKOOV
Key Insights & Takeaways
The account uses contests and giveaways to boost engagement and follower growth. Interactive elements like retweets and follows are key to campaign success. Promotional content is tailored to specific events and holidays, increasing relevance and participation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,069
- + 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 @NifMo_Official reveals an well-established Twitter presence with 121,069 followers. The account demonstrates a conversation-first approach, averaging 223.9 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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