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noteの急成長を支えるデータ分析の舞台裏

04e48f2b6ea8f1abd6587a07713fdb8f?s=47 Go Ando
April 10, 2019

 noteの急成長を支えるデータ分析の舞台裏

2019.04.10に開催されたData Analyst Meetup Tokyo Vol.9の登壇資料です。

04e48f2b6ea8f1abd6587a07713fdb8f?s=128

Go Ando

April 10, 2019
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  1. ͷٸ੒௕Λࢧ͑Δσʔλ෼ੳͷ෣୆ཪ

  2. Data Analyst Meetup Tokyo Vol.9 ࣗݾ঺հ GO ANDO THE GUILD

    / UXɾUI Designer 1. SIer ͰΩϟϦΞελʔτ ɾ େن໛։ൃͰσεϚʔνΛଟ਺ܦݧ ɾ ւ֎ࣄۀ։ൃͰւ֎Ͱ੡඼ൃ۷ 2. ݕࡧΤϯδϯϕϯνϟʔ ૑ۀ ɾ ถࠃελʔτΞοϓͱڞಉ։ൃ 3. ಠཱͯ͠ΞϓϦσϕϩούʔʹ ɾ App Store ೔ຊ૯߹1ҐΛؤுͬͯ֫ಘ 4. THE GUILD ૑ۀ ← ͍·͜͜ ɾ U-NEXTσβΠϯސ໰ ɾ noteσʔλ෼ੳνʔϜ ɾ IBMʹങऩ͞Εͯऴྃ ɾ YAMAP CXO
  3. Data Analyst Meetup Tokyo Vol.9 ຊ೔ͷςʔϚ ͷٸ੒௕Λࢧ͑Δσʔλ෼ੳͷ෣୆ཪ

  4. 0 5,000,000 10,000,000 2014/4 2014/10 2015/4 2015/10 2016/4 2016/10 2017/4

    2017/10 2018/4 2018/10 1,059ສ ݄ؒΞΫςΟϒϢʔβʔ਺ͷਪҠ noteͷMAU͕1000ສਓΛಥഁʂ MAUͱձһొ࿥ऀ਺ͷ͜Ε·ͰͷਪҠ ձһొ࿥ऀ਺ͷਪҠ 0 500,000 1,000,000 2014/42014/112015/6 2016/1 2016/8 2017/32017/102018/52018/12 101ສ 2019.1 2018.1 2017.1 2016.1 2015.1 2019.1 2018.1 2017.1 2016.1 2015.1
  5. 0 5,000,000 10,000,000 15,000,000 2014/4 2014/7 2014/10 2015/1 2015/4 2015/7

    2015/10 2016/1 2016/4 2016/7 2016/10 2017/1 2017/4 2017/7 2017/10 2018/1 2018/4 2018/7 2018/10 2019/1 ݄ؒΞΫςΟϒϢʔβʔ਺ͷਪҠ 2019.1 2018.1 2017.1 2016.1 2015.1 1,311ສ
  6. None
  7. 0 5,000,000 10,000,000 15,000,000 2014/4 2014/7 2014/10 2015/1 2015/4 2015/7

    2015/10 2016/1 2016/4 2016/7 2016/10 2017/1 2017/4 2017/7 2017/10 2018/1 2018/4 2018/7 2018/10 2019/1 ݄ؒΞΫςΟϒϢʔβʔ਺ͷਪҠ ਂ௡$90ब೚ 1,311ສ 2019.1 2018.1 2017.1 2016.1 2015.1
  8. None
  9. 0 5,000,000 10,000,000 15,000,000 2014/4 2014/7 2014/10 2015/1 2015/4 2015/7

    2015/10 2016/1 2016/4 2016/7 2016/10 2017/1 2017/4 2017/7 2017/10 2018/1 2018/4 2018/7 2018/10 2019/1 ݄ؒΞΫςΟϒϢʔβʔ਺ͷਪҠ 1,311ສ ਂ௡$90ब೚ σʔλ෼ੳνʔϜൃ଍ 2019.1 2018.1 2017.1 2016.1 2015.1
  10. Data Analyst Meetup Tokyo Vol.9 ᶃ ٸ੒௕͢Δnote͔ͩΒͦ͜ඞཁͩͬͨσʔλࢪࡦ ຊ೔͓࿩͢͠Δ͜ͱ̎఺ ᶄ ΫϦΤΠλʔϑΝʔετͷҝͷσʔλ׆༻

  11. Data Analyst Meetup Tokyo Vol.9 ᶃ ٸ੒௕͢Δnote͔ͩΒͦ͜ඞཁͩͬͨσʔλࢪࡦ

  12. Data Analyst Meetup Tokyo Vol.9 ౰ॳͷ՝୊ • σʔλ෼ੳνʔϜൃ଍౰࣌ɺKPI͕ఆ·͍ͬͯͳ͔ͬͨ • ྔ͸௥͍ͬͯΔ͕ɺ࣭ʹؔ͢ΔࢦඪΛݟ͍ͯͳ͔ͬͨ

    • ͦΕʹ΋ؔΘΒͣٸ଎ʹεέʔϧ͍ͯͨ͠ ඇৗʹةݥ
  13. Data Analyst Meetup Tokyo Vol.9 ԿΛ࠷ॏཁKPIʹ͔ͨ͠ note ͷϛογϣϯ ʮͩΕ΋͕૑࡞Λ͸͡Ίɺଓ͚ΒΕΔΑ͏ʹ͢Δ͜ͱʯ

  14. Data Analyst Meetup Tokyo Vol.9 ԿΛ࠷ॏཁKPIʹ͔ͨ͠ KPI ᶃ : ૑࡞׆ಈ։࢝ͷస׵཰

    KPI ᶄ : ૑࡞׆ಈͷܧଓ཰ note ͷϛογϣϯ ʮͩΕ΋͕૑࡞Λ͸͡Ίɺଓ͚ΒΕΔΑ͏ʹ͢Δ͜ͱʯ
  15. ࡞ऀ͕ू·Δ ίϯςϯπ ͕૿͑Δ ಡऀ͕ू·Δ γΣΞ͞ΕΔ ೝ஌͕૿͑Δ ίϯςϯπ ͕ചΕΔ noteͷ੒௕Ϟσϧ by

    CXOਂ௡
  16. noteͷ੒௕Ϟσϧ by CXOਂ௡ ࡞ऀ͕ू·Δ ίϯςϯπ ͕૿͑Δ ಡऀ͕ू·Δ γΣΞ͞ΕΔ ೝ஌͕૿͑Δ ίϯςϯπ

    ͕ചΕΔ /FUXPSL&⒎FDU ωοτϫʔΫޮՌ
  17. Data Analyst Meetup Tokyo Vol.9 ωοτϫʔΫޮՌ • ن໛͕େ͖͍΄ͲϢʔβʔʹͱͬͯͷՁ஋͕େ͖͘ͳΓɺͦΕ͕ଞͷ ϢʔβʔΛҾ͖෇͚ɺن໛͕͞Βʹେ͖͘ͳΔϝΧχζϜɻ •

    Ұൠతʹ͸ɺωοτϫʔΫޮՌΛ࣋ͭαʔϏε΍اۀͰ͸ɺͦͷن໛ ͱՁ஋ͷؒʹڧ͍૬ؔੑ͕͋Δͱ͍ΘΕ͓ͯΓɺAmazon΍UberͳͲ ͕޷ྫͱͯ͋͛͠ΒΕΔɻ Network Effect
  18. UberͷωοτϫʔΫޮՌ ग़యIUUQTUXJUUFSDPNEBWJETBDLTTUBUVT

  19. Data Analyst Meetup Tokyo Vol.9 ෛͷωοτϫʔΫޮՌ • ਖ਼ͷωοτϫʔΫޮՌ͕ಇ͔ͳ͍৔߹ɺωοτϫʔΫޮՌ͕ٯํ޲ʹ Өڹͩ͢͠ɻ •

    ωοτϫʔΫͷ౷࣏ʹࣦഊ͢ΔͱɺωοτϫʔΫ͕੒௕͢Δ΄Ͳʹ࣭ ͕௿Լ͍ͯ͘͠ɻ • ϓϥοτϑΥʔϜͷ؅ཧऀͱͯ͠հೖ͢΂͖ϙΠϯτΛɺϦεΫΛ෼ ੳ্ͨ͠Ͱ໌֬ʹ͢Δඞཁ͕͋Δɻ Negative Network Effect
  20. Data Analyst Meetup Tokyo Vol.9 ωοτϫʔΫޮՌ͕΋ͨΒ͢ɺ͍҃͸ഁյ͢Δ̏ͭͷՁ஋ 1. Connection - ઀ଓੑ

    2. Content − ίϯςϯπ 3. Clout - Өڹྗͷ͋Δਓ
  21. Data Analyst Meetup Tokyo Vol.9 1. Connection - ઀ଓੑ Ϣʔβʔ͕૿͑ΔࣄͰɺϢʔβʔಉ࢜ͷ઀ଓੑ͕૿͑ଟ༷ͳ

    ίϛϡχςΟ͕ੜ·ΕαʔϏε͕׆ੑԽ͢Δɻ GOOD ࣭ͷ௿͍Ϣʔβʔ͕ೖ͖ͬͯͨ৔߹ɺͦΕͱܨ͕ͬͨطଘϢʔ βʔ͕ෆརӹΛඃΔɻnoteతʹ͸εύϜϢʔβʔ౳͕֘౰ɻ BAD
  22. Data Analyst Meetup Tokyo Vol.9 ChatRoulette 1. Connection ઓུʹࣦഊͨ͠αʔϏεͷྫ

  23. Data Analyst Meetup Tokyo Vol.9 1. noteͱͯ͠Ͳ͏Connectionͱ޲͖߹͍ͬͯΔ͔ 1. ҟৗ஋ͷ؍ଌɾݕग़ 2.

    εύϜϢʔβʔʹର͢Δੋਖ਼ɾקࠂ 3. அݻͨΔελϯεͷ໌ࣔ 4. ແ࣊൵ͳమṀ
  24. None
  25. Data Analyst Meetup Tokyo Vol.9 2. Content - ίϯςϯπ ΑΓଟ͘ͷίϯςϯπ͕ϓϥοτϑΥʔϜʹੜ·ΕΔ͜ͱͰɺ

    Ϣʔβʔ͕ଟ͘ͷίϯςϯπʹग़ձ͏ࣄ͕ग़དྷΔɻ Ձ஋ͷஶ͘͠௿͍ɺ·ͨ͸ϢʔβʔΛෆշʹͤ͞Δίϯςϯ π͕ྔ࢈͞ΕΔɻ BAD GOOD
  26. Data Analyst Meetup Tokyo Vol.9 2. Content ઓུʹࣦഊͨ͠αʔϏεͷྫ Myspace

  27. Data Analyst Meetup Tokyo Vol.9 2. noteͱͯ͠ContentͱͲ͏޲͖߹͍ͬͯΔ͔ 1. ਓྗͷ८ճʹΑΔ࣭ͷ޲্ 2.

    εέʔϧͷҝͷػցԽ΁ͷ౤ࢿ 3. ΩϡϨʔγϣϯɾύʔιφϥΠζ΁ͷ౤ࢿ
  28. Data Analyst Meetup Tokyo Vol.9 3. Clout - Өڹྗͷ͋Δਓ ϓϥοτϑΥʔϜͰϢʔβʔ͕ӨڹྗΛߴΊɺࣾձతͳελʔ

    ͕ੜ·ΕΔɻ Winner-Takes-All తͳݱ৅͕ى͖ɺελʔʹΞςϯγϣϯ͕ Ұۃूதͯ͠͠·͍ɺՁ஋ͷ͋Δίϯςϯπ͕ຒ΋ΕΔɻ BAD GOOD
  29. Data Analyst Meetup Tokyo Vol.9 3. noteͱͯ͠CloutͱͲ͏޲͖߹͍ͬͯΔ͔ 1. ϥϯΩϯάͳͲউऀ૪ୣͷ࢓૊Έͷഉআ 2.

    ৽نࢀೖऀ͕ຒ΋Εͳ͍ҝͷΩϡϨʔγϣϯ 3. ϚονϯάɾΞϧΰϦζϜ΁ͷ౤ࢿ
  30. Data Analyst Meetup Tokyo Vol.9 ·ͱΊ 1. ωοτϫʔΫޮՌΛ࠷େԽ͢ΔͨΊʹɺྔΑΓ΋ ࣭ͷॏࢹʹస׵ 2.

    ίϛϡχςΟͷ࣭ͷҡ࣋ͷҝʹੵۃతʹհೖ 3. εέʔϧͷҝͷΞϧΰϦζϜ΁ͷ஫ྗ͕࠷େͷ՝୊
  31. Data Analyst Meetup Tokyo Vol.9 ᶄ ΫϦΤΠλʔϑΝʔετͷҝͷσʔλ׆༻

  32. Data Analyst Meetup Tokyo Vol.9 ϢʔβʔཧղͷͨΊͷ෼ੳͷख๏ ఆྔ ఆੑ ҙࣝ ແҙࣝ

    Ξϯέʔτ ϩάσʔλ ؍࡯ ΠϯλϏϡʔ
  33. Data Analyst Meetup Tokyo Vol.9 ϢʔβʔཧղͷͨΊͷ෼ੳͷख๏ ఆྔ ఆੑ ҙࣝ ແҙࣝ

    Ξϯέʔτ ϩάσʔλ ؍࡯ ΠϯλϏϡʔ
  34. Data Analyst Meetup Tokyo Vol.9 ϩά͚ͩʹཔͬͨσʔλ෼ੳ Ϣʔβʔࢹ఺Ͱͷσʔλͷ޿͕Γ EMPATHY MAP CANVAS

    ߟ͑Δ ݴ͏ʴ͢Δ ݟΔ ฉ͘ SEEING THINK & FEEL HEARING SAY & DO σʔλ෼ੳͷख๏ ఆྔ ఆੑ ҙࣝ ແҙࣝ Ξϯέʔτ ϩάσʔλ ؍࡯ ΠϯλϏϡʔ
  35. Data Analyst Meetup Tokyo Vol.9 ʮਓʯΛΑΓਂ͘ཧղ͢Δʹ͸ଟ֯తͳσʔλͷղऍ͕ඞཁ Ϣʔβʔࢹ఺Ͱͷσʔλͷ޿͕Γ EMPATHY MAP CANVAS

    ߟ͑Δ ݴ͏ʴ͢Δ ݟΔ ฉ͘ SEEING THINK & FEEL HEARING SAY & DO σʔλ෼ੳͷख๏ ఆྔ ఆੑ ҙࣝ ແҙࣝ Ξϯέʔτ ϩάσʔλ ؍࡯ ΠϯλϏϡʔ WHY? WHY? W HY? WHY? W H Y? W H Y?
  36. Data Analyst Meetup Tokyo Vol.9 ϩά͚ͩͰ͸൑Βͳ͍noteͷՁ஋ NPSͱͷ ૬ؔ܎਺ ຬ଍౓ ຬ଍౓

    ฏۉ 3.52 (N=499) ૬ؔ܎਺ 0.4 ৔ͱͯ͠ͷงғؾ͕ྑ͍ ֎؍ɾσβΠϯ͕ྑ͍ ಡऀ͔Βͷ൓Ԡ΍εΩ͕ྑ͍ ΤσΟλʔ͕࢖͍΍͍͢ ଟ͘ͷਓʹಡΜͰ΋Β͑Δ ༗ྉػೳ͕ྑ͍ 0.50 0.45 0.40 0.35 0.30 0.25 1 1.5 2 2.5 3 3.5 4 4.5 ౤ߘͷϋʔυϧ͕௿͍
  37. Data Analyst Meetup Tokyo Vol.9 ϩά͚ͩͰ͸൑Βͳ͍noteͷՁ஋ ॻ͘͜ͱָ͕͍͔͠Β งғؾ͕Α͍͔Β ࣗ෼ͷεΩϧΞοϓͷͨΊ උ๨࿥ͱͯ͠

    ՝ۚػೳ͕͋Δ͔Β σβΠϯ͕Α͍͔Β ࢓ࣄʹܨ͕Γͦ͏͔ͩΒܨ͕Δ͔Β ଟ͘ͷਓʹಡΜͰ΋Β͑Δ͔Β ΫϦΤΠλʔ໨ઢͷӡӦ͔ͩΒ      ॻ͘ཧ༝Top3͸ʮָ͍͠ʯʮงғؾʯʮεΩϧΞοϓʯ
  38. Data Analyst Meetup Tokyo Vol.9 ΫϦΤΠλʔϑΝʔετͷҝͷσʔλ׆༻ Ͳ͏ͨ͠Βʮָ͘͠ʯ૑࡞׆ಈΛଓ͚ͯ΋Β͑Δ͔ɺ Λਂ͘ཧղ͢ΔͨΊʹ͸ɺ ఆੑσʔλ͕ͦ͜noteͷ࠷ॏཁσʔλͰ͋Δɻ

  39. Data Analyst Meetup Tokyo Vol.9 ૊৫ԣஅతͳnoteͷσʔλ෼ੳνʔϜ ! " THE GUILD

    $ CEO % CXO Enginnering % & & ' Data Scientist Director ( ' CTO Designer %
  40. Data Analyst Meetup Tokyo Vol.9 noteʹ͓͚Δσʔλઓུ·ͱΊ ᶃ ίΞόϦϡʔɾϛογϣϯʹԠͨ͡KPIઃܭ ᶄ ྑ࣭ͳωοτϫʔΫΛҡ࣋͢ΔͨΊͷσʔλઓུ

    ᶅ ΫϦΤΠλʔϑΝʔετͷͨΊͷఆੑσʔλ׆༻ ᶆ ૊৫ԣஅతͳσʔλ׆༻ͷਪਐ
  41. noteͷ͜Ε͔Β Data Analyst Meetup Tokyo Vol.9 • noteͷσʔλ׆༻͸·ͩ·ͩൃల్্ • ΫϦΤΠλʔࣗ਎΁ͷσʔλͷఏڙ

    • ύʔιφϥΠθʔγϣϯ΁ͷ౤ࢿ
  42. σʔλαΠΤϯςΟετ೤྽ืूதͰ͢ * ಛʹػցֶशܥ * ಛʹࣗવݴޠܥ

  43. Thank You ! goando @