Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
ゲームの「データ分析」とは(初級編)
Search
masahiro-yoshitachi
July 27, 2018
1
92
ゲームの「データ分析」とは(初級編)
ゲームのデータ分析でよくあるある話について
masahiro-yoshitachi
July 27, 2018
Tweet
Share
More Decks by masahiro-yoshitachi
See All by masahiro-yoshitachi
分析リーダーズトーク
yoshitachi
0
120
Featured
See All Featured
Building a A Zero-Code AI SEO Workflow
portentint
PRO
0
320
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
200
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
0
3.4k
The Cost Of JavaScript in 2023
addyosmani
55
9.5k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.9k
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
0
170
Practical Orchestrator
shlominoach
191
11k
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
0
440
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
200
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
34k
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
150
How GitHub (no longer) Works
holman
316
140k
Transcript
σʔλੳʹ͍ͭͯ - ήʔϜͷʮσʔλੳʯͱ(ॳڃฤ) - 2018.7.25(ਫ) at Eureka Data Analyst Meetup
Tokyo vol.7
ࣗݾհ • ٢ؘ ਖ਼ߒ(@chama_1219) • גࣜձࣾΧϓίϯ CS੍࡞౷ׅ ٕज़ݚڀ෦ ௨৴ٕज़ࣨ αʔ
Ϗεج൫νʔϜ • ݱࡏCSλΠτϧ͔ΒϞόΠϧλΠτϧ ·ͰͷσʔλੳۀΛ୲
ຊɺBIπʔϧͷબఆʹ͍ͭͯ ·ͤΜ
ήʔϜͷσʔλੳͱʁ • ήʔϜͷࢪࡦΛൺֱͯ͠ɺ ঢ়گΛѲ͠ɺͦͷޙͷΞΫγϣ ϯʹੜ͔͢ • ήʔϜӡӦΛίϯτϩʔϧ͢Δͨ Ίͷେ͖ͳࢦͱͳΔͷ
ӡӦͷίϯτϩʔϧͱ • ήʔϜͷӡӦɺৗʹʮݶΒΕͨϦιʔ εΛͲ͜ʹूத͢Δ͔ʯͱ͍͏બͷ܁ Γฦ͠ • ੳΛ͍ͯ͠ͳ͍ήʔϜӡӦɺબΛ ʮצʯʮܦݧʯʮڳʯʹཔΔ͔͠ͳ͍ ޭ/ࣦഊͷݪҼ૾͔͠Ͱ͖ͳ͍
ݱঢ়ͷήʔϜੳ ͲΜͳঢ়گ͔ʁ
ʮੳʯʹ͍ͭͯΑ͘ฉ͘ • DAU՝ۚARPPUຖݟ͍ͯΔ͠ɺेʮੳʯ ͯ͠ΔΑ • σʔλͰήʔϜͷ໘ന͔͞Εͳ͍Α • σʔλ৴༻Ͱ͖ͳ͍ɻϢʔβʔͷੜͷΛฉ͘ͷ͕Ұ൪ • ࠷ޙΧϯͱ͔ܦݧ͕ϞϊΛݴ͏ΑͶ
• ੳʹίετ͔͚ͯṶ͔Βͳ͍͠ʔ • ੳͬͯݴͬͯԿΛΕ͍͍ͷ͔ʁ
DAU՝ۚARPPUຖݟ ͯΔ͠ɺेʮੳʯ͍ͯ͠ΔΑ
ݱঢ়ɺݟ͍ͯΔ… • ʮӡӦϞσϧʯͰࢹ͍ͯ͠Δͷྫ ച্ %"6 ՝ۚ "3116 Y Y
%"6৭ʑͱߟ͑ΒΕΔ ৽ن66 طଘ66 ̏ϲ݄Ҏ্66 ̏ϲ݄ະຬ66 ෮ؼ66 ࿈ଓ66 ແ՝ۚ66 ՝ۚ66 ॳճ՝ۚ66 ̎ճҎ্՝ۚ66 ߴ՝ۚ66 ɹ՝ۚ66 ՝ۚͳ͠66 ՝ۚ͋Γ66 ՝ۚ՝ۚ66%"6 ՝ۚ66 ॳճ՝ۚ66 ɹ̎ճҎ্՝ۚ66 "3116ച্՝ۚ66 ՝ֹۚͷʮฏۉ୯Ձʯ Ͳ͏ͳ͍ͬͯΔͷ͔ʜ ภΓ͕ͲͪΒ͔ʹͳ͍ͷ͔ʜ
͜Ε͚ͩݟ͍ͯΔͱ᠘͋Δ • DAU = ৽نUU + طଘUU ʮDAU্͕ͬͯ·͢ʂʯ ˠ࣮֎෦ཁҼͰ৽نUU͕૿͚͑ͨͩ ɹ৽نͷϢʔβʔ͕ఆண͠ͳ͚Ε͙͢ʹݩʹΔ
• ՝ۚ = ՝ۚUU / DAU ʮ՝্͕͕ۚͬͨͥʂʯ →࣮DAU͕Լ͕͍ͬͯΔ͚ͩ ɹ՝ۚϢʔβʔͷݮ͍ͬͯΔɺͳΜͯ͜ͱ…
ूܭͰΘ͔Δ͜ͱ͔ᷮ • DAUɺ՝ۚɺARPPUɺશମѲͱ࣌ܥྻͰ ͷൺֱͷͨΊʹઌਓ͕ͨͪूܭ࣠ΛఆΊͨ શମΛݟΔʹྑ͍͕ɺৄࡉΘ͔Βͳ͍ • ࣌ܥྻͰൺֱ͠ɺʮͳͥʯ+ʮͲ͏͢ΕʯΛ୳ͬ ͯߦ͘ͷ͕ήʔϜσʔλͷੳ
݄ ݄ ݄ ݄ ݄ ݄ ݄ ݄
σʔλͰήʔϜͷ໘ന͔͞Εͳ͍Α • σʔλੳɺήʔϜͷʮ໘ന͞ʯΛ ਤΔͷͰͳ͍ • ঢ়گΛѲ͠ɺࢪࡦʹͭͳ͛ Δͷ͕ੳ
σʔλ৴༻Ͱ͖ͳ͍ɻੜͷΛฉ͜͏ • Ξϯέʔτੳͷ̍ͭͷख๏ɻ ୠ͠ɺϢʔβʔશһ͕ճ͢Δ͜ͱ ·ͣͳ͍ͨΊɺͲ͏ͯ͠ภΓ͕ൃੜ ͢Δ • ϢʔβʔͷߦಈϩάΛੳͨ͠ੜͷʮߦ ಈʯ΄Ͳਖ਼ͳͷͳ͍ͣʂ
࠷ޙΧϯͱܦݧ͕ϞϊΛݴ͏ΑͶ • ʮצʯͱʮܦݧʯͱʮڳʯͷ͢ ͘͝େࣄ ୠ͠ɺσʔλੳΛ͔ͯ͠Βͷํ͕߹ ΘٕͤͰྗΛൃش͢Δ
ੳͯ͠Ṷ͔Βͳ͠ʔ • ΞΫγϣϯʹܨ͛ΒΕͳ͍ੳʮṶ ͚ʹܨ͕Βͳ͍ੳʯ
ͱΓ͋͑ͣͬͯΈͨ͋Δ͋Δ • σʔλੳͨ݁͠Ռ͕ࡉ͔͗͢Δ • σʔλੳͨ͠ͷҙຯ͕͔Βͳ͍
͋Δ͋ΔʹͳΒͳ͍ͨΊʹ ੳඞͣʮԾઆʯΛཱͯͯߦ͏ 1. ঢ়گΛѲͯ͠ɺԾઆΛཱͯΔ 2. ݕূ͢ΔͨΊʹඞཁͳσʔλΛબఆ͠ɺἧ͑Δ 3. σʔλΛूܭɾੳ͢Δ 4. ੳͷ݁ՌΛղऍ͠ɺࢪࡦΛཱҊɾఏҊ͢Δ
ӡӦͰίϯτϩʔϧՄೳͳཁૉΛҙࣝ͢Δ
·ͱΊ • ʮσʔλΛूܭ͢Δ͜ͱʯ≠ੳͰ͢ • ੳඞͣʮԾઆʯΛཱͯͯߦ͍·͠ΐ͏ʂ • ΞΫγϣϯʹܨ͕ΔੳΛߦ͍·͠ΐ͏ʂ
Ҏ্