-
Notifications
You must be signed in to change notification settings - Fork 2
/
Answers
91 lines (44 loc) · 2.23 KB
/
Answers
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
######################################## WEEK-2 ##########################################
All answers are correct
When the managerial problem is ambiguous
Return on Investment is quite uncertain
For context-specific, at the moment surveys
All answers are correct
Cannot make causal claims
It is frequently used in social media data to quantify the valence of information
All answers are correct
Surveys
9,10
########################################### WEEK-3 ##########################################
Predicting when the customer will make her next purchase
MARS, CART
Customers are not truly random but appear to be “as if” random from an outsider observer’s perspective
Regression-like models are fine for a one-period-ahead prediction, but not beyond that horizon
Recency is the most predictive of the three
Share similar acquisition characteristics (e.g., time of acquisition)
Yoshinori would likely be more valuable
Bayesian Transformation of Yearly Data………..
Jane would likely be more valuable
All answers are possibilities
########################################### WEEK-4 ##########################################
Make a recommendation on an action that will optimize a goal
All answers are correct
The quantity of a product sold
A part of the model under the direct control of the firm && A choice that impacts the goal
Explain the relationship between actions and parameters to the goal
When the marginal cost is zero && When the marginal revenue equals marginal cost
We may give a different recommendation for different models
Discounts on a product brings more buyers now and makes buyers wait for discounts in the future
All of the above
Shows ads to people after they visited a specific website
########################################### WEEK-5 ##########################################
household-level scanner data from their home
Tracking customers across digital properties is difficult.
All of these answers apply.
Pop-up advertising
A lack of local distribution centers
Software that reads customer intonation
A customer who spends $100 per year, but has a 10% churn propensity per year.
None of these statements is always true.
Highest to lowest marketing effectiveness
All of these are correct