【公式】LINE：モンスターファーム
LINEの友だちから、モンスターが生まれちゃう。 新作スマホゲーム「#LINEモンスターファーム」公式アカウントです。 ゲームの最新情報をお届けします！ ダウンロードはこちら⇒https://apps.apple.com/app/id1606316865?mt=8
121,886
Followers
5
Following
946
Tweets
1,846.1
Avg Engagement
219
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MonsterFarm_L'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:2022-03-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:520
- Avg Likes per Tweet:404.7
- Avg Retweets per Tweet:1,441.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 520 tweetsThe account has a high average number of likes and retweets, showing strong audience interaction. Campaigns are a key driver of engagement, as they encourage followers to participate and share.
404.7
Avg Likes/Tweet
1,441.3
Avg Retweets/Tweet
210,469
Total Likes
749,478
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
184
Median Likes
69
Median Retweets
537
75th Percentile
20,994
Top Tweet
15.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
69.8%
Original
16.5%
Replies
8.8%
Retweets
4.8%
Quotes
0.0%
Threads
0.0%
With Media
84.6%
With Links
76.2%
With #Tags
13.1%
With @Mentions
61.5%
With Emojis
138
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.7%
Weekday Posts
18.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 520 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 46 retweets (9% 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 520 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 followersThe primary audience is likely gamers interested in mobile games, particularly those on LINE. The audience is also interested in promotions, giveaways, and new game features.
Good
Audience Quality
16.9%
Suspicion Index
19.0%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.3%
Empty Bio
9.4%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
41.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.1%
No URL
5.6%
<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.
16,046,857
Total Potential Reach
39
Median Follower Reach
178
75th Percentile Reach
5.7%
>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).
76.9%
Creators
38,464 accounts
13.6%
Consumers
6,821 accounts
9.4%
Dormant
4,715 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):
187
Verified Followers
0.19% of total
7,463
Protected Accounts
7.46% 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 | 457,455 | Singer | music, singing, audio engineering |
| @daaiicchhi | 282,783 | Farmer | Farming, Administration |
| @Morisuke08 | 271,022 | Actor | Actor, Planning, Video Editing |
| @LunyDoobles | 224,515 | - | - |
| @tosakomainada | 221,426 | Influencer | Science, Announcement, Instagram |
| @pAPPeSunflower | 180,512 | - | - |
| @virtualworks1 | 158,368 | Cognitive Scientist | brainwashing, cognitive science, virtual doctor |
| @xXAutumnIvyXx | 158,193 | Actor | Actor, Narrator, Werewolf |
| @dais_angen | 156,217 | Unknown | Alcohol, Movies, Sweets |
| @kemomimi_oukoku | 143,992 | Artist | Official art, Sheepbox, Booth |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,488
Followers With Bio
31,512
Followers Without Bio
68.49%
% With Bio
31.51%
% 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 520 analyzed99,220
Combined Engagement
15,411
Total Likes
83,809
Total Retweets
19,844
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
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★リリース記念キャンペーン★ ＼3日目／ 本アカウントをフォロー＆この投稿をRTすると抽選でAmazonギフトカード番号3000円分がその場で当たる！ さらに #目指せNo1ブリーダー をつけて投稿すると抽選でAmazonギフトカード番号10000円分が後日当たる！ ▼DLはこちら https://t.co/7HwW8ojjk3 https://t.co/BqiuOrTzRs
★リリース記念キャンペーン★ ＼2日目／ 本アカウントをフォロー＆この投稿をRTすると抽選でAmazonギフトカード番号3000円分がその場で当たる！ さらに #モンスターファームリリース をつけて投稿すると抽選でAmazonギフトカード番号10000円分が後日当たる！ ▼DLはこちら https://t.co/7HwW8ojR9B https://t.co/Bhsb1ssZJR
Key Insights & Takeaways
The account uses campaigns to boost engagement and attract new followers. Promotional content, such as giveaways, is a major part of its strategy. It focuses on driving traffic to its game's website and promotional pages.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 121,886
- + Strong original content creation
- + 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 @MonsterFarm_L reveals an exceptionally influential Twitter presence with 121,886 followers. The account demonstrates a content-creator strategy, averaging 1,846.1 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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