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Mathematics Monster

Mathematics Monster✓

YouTube @mathematicsmonster Knowledge 📍 Japan
⚔ Compare ☆ Follow Own this channel?
🔄 Data last refreshed 18 hours ago
🤝

Make a deal with Mathematics Monster

🔒 Paid proposals held safely in escrow — released only when the work's approved.

🎬Integrated segment (60–90s)A 60–90 second integration inside a regular video — the clas… from $81→ ⭐Dedicated videoThe entire video is about your product — review, challenge o… from $172→ ⏱️Pre-roll mention (~30s)A quick shoutout in the first minute of a video — the afford… $56→ 🔗Description link + pinned commentYour link in the description and a pinned comment on every n… $20/mo→ 📢UGC licensing / whitelistingLicense my content for YOUR ad account — run my video or cut… $50/mo→ 📦Series sponsorship (3+ videos)An integration in each of several videos — a package rate ac… $319→ 🤝Collab videoWe appear in each other's videos — a value swap between chan… Swap→ 🎤Guest appearanceI join your video, podcast or event as a guest, co-host or i… $113→ 🎬UGC HireBranded content for your own channels & ads from $63→ 🎙️Podcast guest spotInvite Mathematics Monster onto your podcast (~45 min, remote) $85→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $75/hr→

Every booking is a normal escrow-protected deal.

Subscribers
56.3K
Total Views
12.9M
Videos
837
Channel age
11 yrs

Known for

ベクトル４：ベクトル・図形・座標の選択①《京都大2000年》12.3K views ベクトル４：ベクトル・図形・座標の選択①《京都大2000年》 確率１：確率の本質①《京都大2012年文系》10.9K views 確率１：確率の本質①《京都大2012年文系》 ベクトル５：ベクトル・図形・座標の選択②《一橋大1986年》9.8K views ベクトル５：ベクトル・図形・座標の選択②《一橋大1986年》 ベクトル10：垂線とベクトルの成分表示・外積の利用《東京理科大》8.5K views ベクトル10：垂線とベクトルの成分表示・外積の利用《東京理科大》

▶️ Featured Video

12.3K views
ベクトル４：ベクトル・図形・座標の選択①《京都大2000年》

🎯 Reach quality

Subscriber activation · Strong
10.1%
Share of subscribers who watch a typical recent video (avg views ÷ subscribers) — the real reach behind the subscriber count, and a quick check on whether those subscribers are still active rather than a vanity number.
Recent vs all-time
-63%
Recent videos average 5.7K vs an all-time 15.4K/video — recent uploads run below the all-time norm — much of the lifetime views sit in an older catalogue.

📈 Performance

Typical video
4.8K–6.4K views
Median 5.4K — the reliable floor a brand can expect, not just the headline average.
Upload rhythm
0.4× / week
Most active on Fridays — consistent output keeps an engaged, sponsor-ready audience.
5.7K
Avg views / video
99
Avg likes
15
Avg comments
0.4
Uploads / week
15.4K
Lifetime avg / video
228
Views / subscriber

💡 Facts

🗓️Joined YouTube in 2015 — 11 years ago.
🏆Ranked #15,785 among all influencers on SocialDB.
🎯Top Knowledge influencer — #889 in the niche.
👁️Averages 5.7K views per video.
📤Posts about 0.4× per week.
🚀Gained 100 subscribers in the last 7 days.
📍Based in Japan.

💚 Brand affinity

Estimated

Brands Mathematics Monster's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps Nebula Coinbase Shopify Robinhood Brilliant NordVPN Incogni Fiverr Webull

About

東京大・京都大・東工大・一橋大・早稲田大・慶応大・北海道大・東北大・筑波大・大阪大・東京医科歯科大・名古屋大・九州大・横浜国立大などの一流大学志望の受験生に向けた数学の授業です。 ホームページから体系的に全講座無料で受講できます。問題の印刷もホームページより可能です。

📸 Gallery

確率９：n数の和と倍数の確率《一橋大2013年》 確率８：n数の積と倍数の確率②《千葉大2012年》 確率７：n数の積と倍数の確率①《京都大1992年》 確率６：複合命題・ドーナツ型の確率《北海道大2008年文系》 確率５：余事象の確率《北海道大2006年》 確率４：取り出す順番と順列《北里大獣医学部2007年》 確率３：並べ方と集合《東北大1999年》 確率２：確率の本質②《一橋大2003年》

Recent videos

確率９：n数の和と倍数の確率《一橋大2013年》
1.5K views · 2 months ago
確率８：n数の積と倍数の確率②《千葉大2012年》
2.3K views · 3 months ago
確率７：n数の積と倍数の確率①《京都大1992年》
2.3K views · 3 months ago
確率６：複合命題・ドーナツ型の確率《北海道大2008年文系》
2.3K views · 4 months ago
確率５：余事象の確率《北海道大2006年》
2.7K views · 4 months ago
確率４：取り出す順番と順列《北里大獣医学部2007年》
3.3K views · 5 months ago
確率３：並べ方と集合《東北大1999年》
5.1K views · 6 months ago
確率２：確率の本質②《一橋大2003年》
4.8K views · 6 months ago
確率１：確率の本質①《京都大2012年文系》
10.9K views · 6 months ago
ベクトル24：空間ベクトルの応用④《名古屋大1996年》
4.8K views · 6 months ago
ベクトル23：空間ベクトルの応用③《東京大1993年文系》
4.1K views · 7 months ago
ベクトル22：空間ベクトルの応用②《京都大2011年》
5.2K views · 7 months ago

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Frequently asked questions

How much does Mathematics Monster charge for a sponsorship?
Mathematics Monster hasn't published fixed prices yet. Send a proposal through SocialDB and agree terms directly — your payment is held in escrow until the work is approved.
How do I contact Mathematics Monster for a brand deal or collaboration?
Send a paid deal or collab request right here on SocialDB — we notify Mathematics Monster, and once they accept, your payment is held safely in escrow and released when the work is approved. You don't need to track down an email.
How many subscribers does Mathematics Monster have?
Mathematics Monster has 56,300 subscribers on YouTube.

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