7 - Post Decision Pt II Flashcards

1
Q

Customer lifetime value (CLV) and how it can be measured

A

Long-term (future) financial value of customer satisfaction/loyalty/repeat purchase
Can be measured based on past sales records (phone, internet, gym, credit cards, loyalty programs)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Method for calculating CLV

A

Churn method - net profit from a repeat customer over time, discounted to the present moment (done through excel)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

How do managers use CLV?

A

To market to different customers and segments of customers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

CLV Equation

A

CLV = m * L - AC

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

m component (CLV)

A

Contribution margin of customer. Represents the profit generated by a customer over the lifetime of their relationship with the business (includes both revenue generated and cost to serve them)
eg: customer buys $100 of goods, cost $20 to produce, m = $80

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

L component (CLV)

A

Customer’s lifetime. Represents the length of time that a customer is expected to remain with the business. Includes the time between customer’s first purchase and their last
eg: customer makes first purchase at age 25, and most recent at age 45. L = 20 years

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

AC component (CLV)

A

Acquisition cost. Represents the cost associated with acquiring the customer, including marketing and ad expenses
eg: business spends $500 on ads to acquire one customer, AC = $500

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Churn/defection rate

A

% of customers that leave each year
The higher the churn rate %, the lower the expected lifetime of customers (L)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Retention rate (RR)

A

1 - churn rate
% of customers that repeat business

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

CLV with retention rate equation

A

CLV = sum of t=1 (m * RR^(t-1)) - AC
Expected lifetime of a customer recalculated as probability x outcome summed across all possible outcomes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How do managers use CLV?

A

Can be calculated at the individual level as well as the segment level
eg: individual level - aeroplan account, segment level - diamond vs silver rank

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How can managers use CLV to make decisions about their customers?

A

Invest in the most valuable customers
Can be done through incentives, personalized service/offers, surprises, etc
Upgrade current unprofitale customers
Fire current unprofitable customers
Acquire new valuable customers

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Incentives (CLV)

A

Often results in high acquisition cost, high variable costs, high contribution margin, low churn
eg: Crypto black card (tons of cashback - AC, incentives like free prime - VC, high annual fee - high m, strong brand reputation - low churn rate)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Upselling

A

Firms upsell their products/services due to CLV factors.
eg: starbucks rewards are generous = upsell drinks
tinder has high churn rate = upsell plans

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Acquiring new valuable customers

A

Firms have to focus on segments of high CLV customers, advertise towards “lookalike audiences”
Can also use referral programs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Measuring satisfaction - surveys

A

Firms need to know what data should be collected, what drives satisfaction, what they can do to maximize satisfaction, and the benefits the firm can gain from satisfied customers

17
Q

Sample vs Population

A

Sample = sub-set of customers (eg: measuring 30 patients in 3 months)
Population = all customers (eg: 10,000 patients in 3 months)

18
Q

Ideal sampling

A

Random sample is more accurate and representative of total population. Sampling frame should list everyone in the population of interest. Should not include others and should not segment to represent population

19
Q

Sample correspondence to population reality (2 factors)

A

Sample method
Sample size

20
Q

Method to identify drivers of satisfaction (Q research)

A

Qualitative research, focus groups or interviews
Includes initially identified drivers

21
Q

Regression equation

A

Overall satisfaction = a + b1driver1 + b2driver 2 + …
b = weighted importance of a specific driver
a = constant value of overall satisfaction

22
Q

Drill down analysis

A

Detailed survey on supplementary parts of one driver
eg: quality of car repair
supps = clear explanation of price, clear explanation of condition, clear explanation of reparation, thoroughness of repair, all necessary tests performed as needed, time took to repair, correct diagnosis, etc

23
Q

Expectation model

A

Consumer satisfaction is a function of consumer expectations and perceived product/service performance
Performance < expectations = disappointment
Performance = expectations = satisfaction
Performance > expectations = delight/high satisfaction

24
Q

Importance - performance analysis

A

Using axis’ to gage the importance and performance of drivers or supplementary components of drivers

25
Q

What drivers of satisfaction should firms focus on?

A

High importance and low performance drivers

26
Q

5 benefits of satisfaction modeling

A

Comprehensive insights
Strategic focus
Detailed
Quantifiable
Benchmarking

27
Q

Comprehensive insights benefits (satisfaction modeling)

A

Allows firms to study many drivers and outcomes of satisfaction

28
Q

Strategic focus benefits (satisfaction modeling)

A

What the firm should focus on for maximizing satisfaction

29
Q

Detailed benefits (satisfaction modeling)

A

Can apply to sub-segments, repeat survey over time

30
Q

Quantifiable benefits (satisfaction modeling)

A

Objective, not subjective decisions about satisfaction

31
Q

Benchmarking benefits (satisfaction modeling)

A

Compare satisfaction scores across subunits of hospital, segments of patients, competitors