MKTG90026 Chap.6 Retention and Customer Lifetime Value
Retention and Customer Lifetime Value
Customer profitability moves from current-period revenue and cost into the expected value of a relationship. This chapter defines retention and churn on compatible cohorts, calculates ARPU, MRR, acquisition and retention cost, and compares simple, gross-margin, recurring-revenue and discounted cash-flow lifetime value.
It emphasises model choice, time-period consistency, segmentation and sensitivity to retention, discount rate and margin assumptions.
What this chapter covers
- 01
Customer counts and recency
- 02
Retention and churn
- 03
Customer profit and ARPU
- 04
MRR, CAC and CRC
- 05
Simple and gross-margin CLV
- 06
Recurring and discounted CLV
Worked example · free
Calculate recurring customer value
- 1The denominator is 1 plus 0.10 minus 0.80, which equals 0.30.
- 1The retention factor is 0.80 divided by 0.30, or 2.6667.
- 1Multiply 120 dollars by 2.6667.
- 1Recurring CLV equals 320 dollars.
Key terms
- Retention Rate
- The share of an at-risk starting cohort that remains through the defined period.
- Acquisition Cost
- Acquisition spending divided by the number of customers acquired.
- Recurring CLV
- Expected customer margin valued from retention and discount-rate assumptions in a recurring model.
Retention and Customer Lifetime Value FAQ
Why must new customers be removed from retention?
Retention measures survival of a starting cohort, while new customers were not present at the start. Subtracting acquisitions from ending customers prevents growth from hiding losses and keeps the retained numerator compatible with the customers initially at risk.
Which lifetime value formula should I use?
Use the model requested or best matched to the cash-flow pattern. Simple CLV suits a stable purchase pattern, recurring CLV suits repeated margin with retention, and period-by-period discounted cash flow suits changing amounts or retention across time.
How should I interpret a CLV to CAC ratio?
It compares modeled relationship value with acquisition cost under stated assumptions. A value above one does not automatically prove attractive economics because overhead, timing, uncertainty and segment quality may be omitted. Sensitivity to retention and margin is essential.
Why should customer value be calculated by segment?
Average retention, margin and acquisition cost can hide important differences among channels or customer groups. Segment estimates reveal where growth is economically attractive and prevent strong customers from subsidising weak acquisition choices.
Exam move
Reconcile the cohort identity retention equals one minus churn before moving to value. Build a comparison table for simple, gross-margin, recurring and discounted CLV, naming the input each adds. Recompute recurring CLV after changing retention, because the effect is non-linear. Finish by comparing value with CAC and naming the assumption most likely to overturn the result.
Start each retention problem by drawing the cohort box: customers at the start, customers lost, customers retained, new customers acquired and customers at the end. Retention uses the starting cohort at risk, so subtract acquisitions from the ending count when necessary. Verify that retention plus churn equals one when both use the same population and period.
If the identity fails, inspect the cohort boundary before calculating value. This prevents growth from hiding relationship losses. Create a model ladder for CLV.
The simple model uses margin per purchase, purchase frequency and expected lifetime; a gross-margin model converts revenue to contribution; a recurring model uses periodic margin with retention and discounting; a period-by-period model handles changing cash flows and survival. For every question, state why the chosen model matches the supplied pattern.
Do not combine monthly ARPU with annual churn or lifetime without converting periods. Write currency and time units on each input and confirm that the final value is per customer. Build sensitivity around the assumptions that compound. Change retention slightly and observe how the expected relationship length or recurring value responds. Then vary margin, discount rate and acquisition cost.
Predict the direction first: stronger retention or margin raises value, while a higher discount rate or cost reduces net attractiveness. Use segment-specific inputs when supplied because an average customer can conceal a profitable loyal group and an expensive short-lived group. Report the estimate as conditional on behaviour remaining sufficiently stable. Compare CLV with CAC only after aligning definitions.
Check whether CAC includes all acquisition spending, whether CLV is gross or net of servicing and retention costs, and whether both refer to the same segment and acquisition period. A ratio above one is not a complete decision rule when overhead, cash timing, capacity or uncertainty is omitted. Add payback time when liquidity matters and test whether growth in expensive channels changes the blended economics.
For timed practice, use four headings: cohort, model, calculation and decision. Underline the time unit in the stem, carry precision until the final step and explain the managerial implication without presenting modeled value as observed profit. Keep an error log for acquisitions left in retention, retention and churn from different bases, revenue substituted for margin, incompatible periods and CAC ignored.
Rework errors with new numbers so the correction depends on structure rather than memory. End by naming the assumption most likely to reverse the recommendation and the operational metric that should be monitored after acquisition.
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