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インハウスマーケター・事業責任者のためのWeb数値との向き合い方
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Google Analytics講座
1.
2018.08.23 Tue. Google Analytics Web MICIN
2.
3.
4.
5.
[ ] Web [
] Web
6.
7.
1. 5min 2. Web
5min 3. 20min 4. 30min
8.
Web
9.
Web Web CV UU = CVR
10.
Web
11.
Web 1. 100,000 2.
1,000 3. 800
12.
1. 100,000 2.
1,000 3. 800 Web 1% 80%
13.
Web 1. 100,000 2.
40,000 3. 800
14.
1. 100,000 2.
40,000 3. 800 Web 40% 2%
15.
Web 1. 100,000 2.
1,000 3. 10
16.
1. 100,000 2.
1,000 3. 10 Web 1% 1%
17.
Web SEO └ Yahoo,
Google └SNS Facebook Twitter Instagram └ Gunosy SmartNews └ASP a8 QR SNS └Facebook Twitter AB UX └ └ └ └
18.
Web
19.
20.
Google Analytics
21.
🤔
22.
23.
24.
Google Analytics
25.
1. Users 2.
Sessions 3. Page Views 4. New Visitor / Returning Visitor
26.
1 1 1
27.
1 1 2
28.
1 2 2 8/19
12:00 8/20 19:00
29.
1 1 2 8/19
12:00 8/19 12:25 ※ 30
30.
1 2 2 8/19
23:58 8/20 00:02 ※
31.
1 2 2 8/19
19:00 8/19 19:20 ※ A B
32.
3 3 5
33.
3 5 11 8/10
10:00 8/21 21:00 8/13 07:00 8/13 16:00 8/17 10:00
34.
3 5 11 8/10
10:00 8/21 21:00 8/13 07:00 8/13 16:00 8/17 10:00 PC PC PC
35.
New Visitor Returning
Visitor Returning Visitor 2 New Visitor
36.
New Visitor Returning
Visitor A B C 7 20 2 8 5 8 10 2 3 8 23 3 2 4
37.
7 20 8
23 2 :6 75% A B C 7 20 2 8 5 8 10 2 3 8 23 3 2 4
38.
8 5 8
23 1 :5 83% A B C 7 20 2 8 5 8 10 2 3 8 23 3 2 4
39.
=
40.
Web Web
41.
Google 2
42.
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43.
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44.
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45.
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provided) ….
46.
> Search Console> http://indianote.asia GA
47.
> > http://indianote.asia 3 30% …
48.
> > http://indianote.asia
49.
× http://indianote.asia
50.
http://indianote.asia
51.
http://indianote.asia
52.
1. / 2.
Desktop / Tablet / Mobile 3. / SNS / / Direct
53.
※ PC/TB SP PC/TB
SP 0.3% 0.25% 0.35% 0.28% SNS 0.23% 0.27% 0.36% 0.32% 0.05% 0.07% 0.12% 0.11% Direct 0.25% 0.25% 0.28% 0.25%
54.
※ PC/TB SP PC/TB
SP 0.3% 0.25% 0.35% 0.28% SNS 0.23% 0.27% 0.36% 0.32% 0.05% 0.07% 0.12% 0.11% Direct 0.25% 0.25% 0.28% 0.25%
55.
56.
57.
58.
59.
mobile / organic
60.
1. 2. 3.
61.
× × PC /
SP / TB × / SNS / / / × 7 / 30 / 60 / 90 × / / -> PV/SS
62.
63.
1. CVR 2.
3. 4. 5.
64.
case1: ex. 1
65.
LP 2018 3.8 ✈ 37,800 32,600 12,800
66.
1 2018 3.8 ✈ 37,800 32,600 12,800
67.
2018 3.8 ✈ 37,800 32,600 12,800 = ÷
68.
case1: ÷ ->
69.
case2: ex. 1
70.
2018 3.8 ✈ 37,800 32,600 12,800
71.
2018 3.8 ✈ 37,800 32,600 12,800 = ÷
72.
= ÷ = ÷
73.
…?? = ÷ = ÷ = × ex.
74.
case2: Step1 Step2 Step3
75.
case2: × × ×
… × ->
76.
case3: ex.
77.
case3: A B A B PC
78.
case3: A B A B PC
79.
case3: ex.
80.
case3:
81.
case3: →
82.
case3: Step1 Step2 Step3 Step1
Step2 Step3 Step1 Step2 Step3 Step1 Step2 Step3 →
83.
case3: Mobile × ×
× … × -> Desktop × × × … × -> Tablet × × × … × ->
84.
case4: ex. Web
85.
tabelog.com bouchonogasawara.favy.jptokyo-calendar.jp
86.
tabelog.com bouchonogasawara.favy.jptokyo-calendar.jp →PV/SS →
→CVR
87.
Web 3 TOP TOP TOP ContactAbout
88.
PV / SS
3~10 1~3 1~3 40%~70% 80%~90% 60%~80% 20~30 40~60 30~50 ※
89.
case4: ex.
90.
1 1 IT →
91.
× PV/SS ×
× × × -> × PV/SS × × × × -> × PV/SS × × × × ->
92.
case5: / / ×
×
93.
94.
95.
UI/UX 2015
96.
” ” 8/10 ~
17 → 8/18 ~ 24 PV / SS 3.21 → 3.31 55.5% → 55.6% 30.3 → 28.9
97.
case2~4 8/10 ~ 17
→ 8/18 ~ 24 PV / SS 3.21 → 3.31 55.5% → 55.6% 30.3 → 28.9 8/10 ~ 17 → 8/18 ~ 24 PV / SS 3.21 → 3.26 55.5% → 57.6% 32.3 → 28.7
98.
1. CVR 2.
3. 4. 5.
99.
Web
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