7 - Post Decision Pt II Flashcards
Customer lifetime value (CLV) and how it can be measured
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)
Method for calculating CLV
Churn method - net profit from a repeat customer over time, discounted to the present moment (done through excel)
How do managers use CLV?
To market to different customers and segments of customers
CLV Equation
CLV = m * L - AC
m component (CLV)
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
L component (CLV)
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
AC component (CLV)
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
Churn/defection rate
% of customers that leave each year
The higher the churn rate %, the lower the expected lifetime of customers (L)
Retention rate (RR)
1 - churn rate
% of customers that repeat business
CLV with retention rate equation
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 do managers use CLV?
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 can managers use CLV to make decisions about their customers?
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
Incentives (CLV)
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)
Upselling
Firms upsell their products/services due to CLV factors.
eg: starbucks rewards are generous = upsell drinks
tinder has high churn rate = upsell plans
Acquiring new valuable customers
Firms have to focus on segments of high CLV customers, advertise towards “lookalike audiences”
Can also use referral programs
Measuring satisfaction - surveys
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
Sample vs Population
Sample = sub-set of customers (eg: measuring 30 patients in 3 months)
Population = all customers (eg: 10,000 patients in 3 months)
Ideal sampling
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
Sample correspondence to population reality (2 factors)
Sample method
Sample size
Method to identify drivers of satisfaction (Q research)
Qualitative research, focus groups or interviews
Includes initially identified drivers
Regression equation
Overall satisfaction = a + b1driver1 + b2driver 2 + …
b = weighted importance of a specific driver
a = constant value of overall satisfaction
Drill down analysis
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
Expectation model
Consumer satisfaction is a function of consumer expectations and perceived product/service performance
Performance < expectations = disappointment
Performance = expectations = satisfaction
Performance > expectations = delight/high satisfaction
Importance - performance analysis
Using axis’ to gage the importance and performance of drivers or supplementary components of drivers
What drivers of satisfaction should firms focus on?
High importance and low performance drivers
5 benefits of satisfaction modeling
Comprehensive insights
Strategic focus
Detailed
Quantifiable
Benchmarking
Comprehensive insights benefits (satisfaction modeling)
Allows firms to study many drivers and outcomes of satisfaction
Strategic focus benefits (satisfaction modeling)
What the firm should focus on for maximizing satisfaction
Detailed benefits (satisfaction modeling)
Can apply to sub-segments, repeat survey over time
Quantifiable benefits (satisfaction modeling)
Objective, not subjective decisions about satisfaction
Benchmarking benefits (satisfaction modeling)
Compare satisfaction scores across subunits of hospital, segments of patients, competitors