The given statement belongs to "Uplift modelling" concept.
Explanation:
In analytical CRM Concept
Uplift modeling , customer segmentation and Website personalization are exist.
Uplift Modeling is an observational marketing method that forecasts the variance in the behaviour of consumers of a marketer's actions.
It splits the audience into groups that respond to the marketing camp against a control group based on the expected disparity.
Answer:
d. blind
Explanation:
The Johari window label is used to provide an explanation of the relationship between employers and employees. It gives an explanation of some psychological issues that inform the behavior of these two groups. The quadrant of the Johari window labeled <em>blind reveals what the employer knows about the employee, but the employee does not know that about himself due mostly to a lack of self-awareness.</em> This is the case between Billy and his employer who knows about his ability to pitch a deal, but which Billy is not so confident about.
The employer could help Billy overcome the problem of lack of self-awareness by encouraging him to reveal information about himself.
Answer:
$69.47
Explanation:
D1 = ($1.45*1.20) = $1.7
D2 = ($1.7*1.20) = $2.04
D3 = ($2.04*1.20) = $2.45
Value after year 3 = (D3*Growth Rate) / (Required rate-Growth Rate)
Value after year 3 = ($2.45*1.08) / 0.11-0.08
Value after year 3 = $2.646 / 0.03
Value after year 3 = $88.20
Current share price = Future dividend and value*Present value of discounting factor(rate%,time)
Current share price = $1.7/1.11 + $2.04/(1.11)^2 + $2.45/(1.11)^3 + $88.20/(1.11)^3
Current share price = $1.5315315 + $1.65571 + $1.7914189 + $64.49107
Current share price = $69.4697304
Current share price = $69.47
Answer:
0.5
Explanation:
Zscore = (x - mean) / standard deviation
Given the data:
X : 462 490 350 294 574
The second observation = 490
The mean and standard deviation of the data could be obtained using a calculator :
Mean = 434
standard deviation = 112
ZSCORE = (490 - 434) / 112
ZSCORE = 56 / 112
ZSCORE = 0.5
