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
Smoozの開発舞台裏 @ BP Study 2016.11.11
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Yuichi Kato
May 16, 2017
Science
430
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Smoozの開発舞台裏 @ BP Study 2016.11.11
Yuichi Kato
May 16, 2017
More Decks by Yuichi Kato
See All by Yuichi Kato
スマホブラウザ「Smooz」のマネタイズで得た知見
maxkato
11
5.6k
Creating tools for the future
maxkato
0
3.2k
ブラウザアプリ『Smooz』を作る中で会得した WKWebviewの3つのTips
maxkato
6
2.5k
Other Decks in Science
See All in Science
Cross-Media Technologies, Information Science and Human-Information Interaction
signer
PRO
3
32k
[NLP2026 参加報告会] AI for Science まとめ / NLP2026
lychee1223
0
1.9k
力学系から見た現代的な機械学習
hanbao
4
4.3k
Testing the Longevity Bottleneck Hypothesis
chinson03
0
330
(メタ)科学コミュニケーターからみたAI for Scienceの同床異夢
rmaruy
0
250
大黒市で発生した大規模インシデント の ポストモーテムから読み解く、 記憶媒体消去の大切さ
shucho0103
0
190
20251212_LT忘年会_データサイエンス枠_新川.pdf
shinpsan
0
290
生成AI・プレプリント時代における 研究成果公開の再設計 ― トップカンファレンス文化はどこへ向かうのか / Redesigning the Dissemination of Research Outputs in the Age of Generative AI and Preprints — Where Is the Top-Conference Culture Heading?
ykiyota
0
27k
【論文紹介】Is CLIP ideal? No. Can we fix it?Yes! 第65回 コンピュータビジョン勉強会@関東
shun6211
5
2.5k
HDC tutorial
michielstock
2
720
なぜエネルギーは保存する? 〜自由落下でわかる“対称性”とネーターの定理〜
syotasasaki593876
0
190
Van Dare naar Durf
voginip
0
240
Featured
See All Featured
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9.1k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.5k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
230
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
55
3.4k
Code Reviewing Like a Champion
maltzj
528
40k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
860
How to Ace a Technical Interview
jacobian
281
24k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
290
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.3k
Un-Boring Meetings
codingconduct
0
320
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
340
Transcript
1 ΞεπʔϧגࣜձࣾɹՃ౻༤Ұ Smoozͷ։ൃཪ
2 1. Smoozͷ͝հ 2. ۀ·ͰͷಓͷΓ 3. ࠔ 4. ϩʔϯνɾάϩʔε 5.
ࠓޙ
3 Search Entertainment ݕࡧΛͬͱָ͘͠
4 ݕࡧ ใ
5 ݕࡧ ใ ʰߦ͖ࢭ·Γʱͷϒϥδϯά
6 ਅాؙΛݕࡧ מਖ਼༤Λݕࡧ ιʔγϟϧͰͷ Ԡ͕Γ͍ͨ מਖ਼༤ͷಈը ݟ͍ͨ ࢹௌʁ ڈͷେՏʁ 4NPP[ʹ͓͚Δϒϥδϯά
7 ਅాؙΛݕࡧ מਖ਼༤Λݕࡧ ιʔγϟϧͰͷ Ԡ͕Γ͍ͨ מਖ਼༤ͷಈը ݟ͍ͨ ࢹௌʁ ڈͷେՏʁ 4NPP[ʹ͓͚Δϒϥδϯά
ʰҶͮΔࣜʱϒϥδϯά
8 ʰҶͮΔϒϥδϯάʱΛ ࣮ݱ͢Δ͘͠Έ 6* "* ιʔγϟϧ
ࢸۃͷλϒૢ࡞ ৽نλϒ Γସ͑ ด͡Δ
ࣗવݴޠղੳʹΑΔݕࡧ୯ޠ༧ଌ ಡΈࠐΈதʹݴޠղੳ ݕࡧ୯ޠΛ͓͢͢Ί
εϚʔτϒοΫϚʔΫ ίϝϯτ͕ಡΊΔ ϒοΫϚʔΫߘ λΠϜϥΠϯ
12
13 ڀۃʹͳΊΒ͔ͳϒϥδϯάମݧ
14 ݄ϦϦʔε 35,000μϯϩʔυಥഁ
15 ͳͥ৽͍͠εϚϗϒϥβ͕ ඞཁͳͷ͔ʁ ୭͕ຖ͏ΞϓϦ J1IPOFੜ࣌Ҏདྷɺେ͖ͳਐԽ͕ແ͍ ςΫϊϩδʔͷେ͖ͳਐา
16 12% 88% ࠃεϚϗϒϥβࢢɹ ສϢʔβʔ 600ສ Ϣʔβʔ σεΫτοϓɾϒϥβʢຊʣ ࢀߟ 12%
88%
17 ͜Ε·ͰͷϒϥβͷՁͷ࡞Γํ ϨϯμϦϯάΤϯδϯ Ճػೳ
18 4NPP[ͷՁͷΓํ ϨϯμϦϯάΤϯδϯ 8FC,JU ৽͍͠Ϣʔβʔମݧ User Interface AI ιʔγϟϧ
19 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
20 ݕࡧީิ ຊจநग़ ϥϯΫ͚ ؔ࿈୯ޠநग़ ͔ͪॻ͖ 63- ࣗવݴޠॲཧ ݕࡧ୯ޠϦίϝϯσʔγϣϯ
21 νʔϜ CEO / Engineer Engineer Designer ౬ઙలو ιχʔɾָఱͰϓϩμΫτϚ ωδϝϯτʹ̔ैࣄͨ͠ޙɺ
ಠཱɻ ݸਓͰ։ൃͨ͠TennisCore ͰAppleϕετΞϓϦΛड ɻ Ճ౻༤Ұ ࢁቌॏଇ University of Maryland, Baltimore Countyֶ࢜ɻ ໊ ݹେֶେֶӃʢଟݩཧʣ म࢜ɻήʔϜ։ൃ ɺϑϦʔ ϥϯεΛܦͯɺSmoozϓϩ δΣΫτࢀըɻ SNAPɺָఱɺϚωʔ ϑΥʔϫʔυʹͯɺଟ͘ͷ αʔϏεͷσβΠϯʹཱͪ ্͛ϑΣʔζ͔ΒܞΘΔɻ ݱࡏϚωʔϑΥϫʔυࣾʹ ۈ͠ͳ͕ΒSmoozϓϩ δΣΫτΛαϙʔτɻ
22 ۀ·ͰͷಓͷΓ
23 ΪʔΫগ
24 खͷͻΒͷ্ʹใΛͷͤΔָ͠͞
25 ιχʔͰੜ࢈ཧ
26 ։ൃɾ ϦʔυλΠϜ ൢചऴྃ ग़ՙ ։ൃ։࢝ ۚܕ ಋମ औΓ ྔ
N N-5 N-4 N-10 ಋମ TO N+10 N-1 ྔ࢈ ൃ ൃ
27 ݟࠐΈ ࣮ ྦྷܭ100ສ Πχγϟϧ 40ສ ઐ༻෦ ൃࡁΈ 50ສ ൢച࣮
30ສ ྫ͑ɾɾɾ
28 ઐ༻෦ࠩผԽϋΠϦεΫ ൚༻෦ίϞσΟςΟϩʔϦεΫ
29 ιχʔɾΤϦΫιϯͰاը
30 ࡾํྑ͠ϢʔβʔϑΝʔετ
31 ΠϊϕʔγϣϯͷδϨϯϚ
32 ָఱͰϓϩμΫτϚωʔδϟʔ
33 ਓͰ࡞ͬͯ̓ԯਓʹΛಧ͚Δ
34 ىۀՈಛผͳਓؒͰͳ͍
35 ݸਓ։ൃ TennisCore
36 Ξεπʔϧגࣜձࣾۀ ʙʣ
37 ϛογϣϯ ਓؒͷೳྗΛ֦ு͢Δ ະདྷͷಓ۩ΛΔ
38 4NPP[ͷཪ
39 ͍͔ؒͭ͘ͷϓϩμΫτΛࢼ࡞ ˣ Ϧηοτ ˣ ࢼ࡞࠶։ ˣ 4NPP[
40 νʔϜ่͕յͨͬͯ͠ɺਐΈଓ͚Δ͔͠ແ͍
41 J048,8FC7JFXͷ̏ͭͷ5JQT
42 डୗΛଓ͚Δ͔ɺࢿۚௐୡ͢Δ͔
43 ͷͮ͘Γϓϩηεͱπʔϧͷ߆Γ
44 اըɾσβΠϯ λεΫཧ վળ
45 ϓϩμΫτεϖοΫ λεΫνέοτ
46 ϓϩμΫτʹࠐΊͨࠢΛετʔϦʔʹ͢Δ
47 ϏσΦͱϓϩμΫτΛ༻ҙ
48 ϚεͰͳ͘ݸਓʹಧ͚Δ
49
50 App Store τοϓܝࡌ
51
52 όϒϧͷޙ
53 69վળ άϩʔεɾϋοΫ ࠂ άϩʔεϋοΫ άϩʔεͷߟ͑ํ 13 PMF
54 Ճओٛͱݮओٛͷόϥϯε
55 Value Proposition ग़ՙ࣌ ͷՁ Ճओٛ ݮओٛ
56 1 2 3 4 5 6 5.7ճىಈ/Day
57 13 27 40 53 67 80 71PV/user ϝχϡʔʹURLίϐʔɺ࠶ಡࠐ ͷϝχϡʔՃ
λϒͷݻఆɺӾཡཤྺɺ Ґஔใऔಘ
58 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
59 "QQFOEJY
1Ϧςϯγϣϯɹ8% up 7Ϧςϯγϣϯɹ7% up
61 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
62 "QQFOEJY
63 ͖ͭ͵͚ͨײಈΛͭ͘Δ
64 ΞϓϦνϟοτ αϙʔτ ฦ৴
65 Ξϯέʔτ Mixpanel Notification
66 ߋ৽௨ ϨϏϡʔ
ίΞ Ϣʔβʔ
68 ͖ͳϓϩμΫτͮ͘ΓΛͰ͖Δͤ
69 ࠓޙͷల։
70 ΤϯδχΞืूͯ͠·͢ʂ 3BJMTɺࣗવݴޠॲཧɺػցֶश J04ɺ"OESPJE
71 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
72 ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ɻ