MarketingBeginnerPreview
Customer Retention & Loyalty Programs
A practical, numbers-driven course on keeping the customers you already have. You will learn to measure churn and lifetime value, design loyalty and referral programs, and run re-engagement campaigns that pay for themselves.
For small-business owners, marketers, and customer success staff who want to reduce churn and grow revenue from existing customers.
Course content
Workbook & downloads
Put the course into practice — a printable workbook plus editable templates you can fill in and reuse.
Preview the workbook
This workbook turns the course into action for your own business. Work through one section per module, computing your real retention numbers, designing a loyalty program that fits your margins, and drafting the win-back and feedback systems you will launch. By the end you will have a complete retention plan backed by your own data, ready to put in front of your team.
Retention Metrics That Actually Matter
Compute your true churn, retention, and lifetime value figures so every later decision rests on real numbers.
Worksheet: Your Core Retention Numbers
Pull the figures from your sales or subscription data for the most recent full month and fill each field. Use the formulas from Module 1: retention rate = ((E - N) / S) x 100.
- Customers at start of period (S)
- New customers gained during period (N)
- Customers at end of period (E)
- Retention rate (%)
- Churn rate (%)
- Implied annual churn (%)
Worksheet: Lifetime Value Calculator
Enter your averages, then compute LTV using AOV x frequency x lifespan x gross margin (or the subscription formula). Finish by computing your LTV-to-CAC ratio and judging it against the 3:1 benchmark.
- Average order value ($)
- Purchase frequency per year
- Average customer lifespan (years)
- Gross margin (%)
- Customer lifetime value ($)
- Customer acquisition cost ($)
- LTV-to-CAC ratio
Exercise: Build Your First Cohort Table
Export your orders with customer ID and order date, then construct a cohort retention table in a spreadsheet and chart the curve.
- Which month-cohorts will you compare, and how many months of history do you have?
- At what month does your retention curve flatten, or does it keep falling?
- Do newer cohorts retain better or worse than older ones, and what changed between them?
Checklist: Metrics Foundation Ready
- Computed monthly churn and retention rate with N excluded
- Calculated LTV using gross profit, not revenue
- Calculated LTV-to-CAC ratio and noted whether it clears 3:1
- Built at least one cohort retention table
- Identified whether the retention curve flattens
- Chosen where the team will see these numbers monthly
Diagnosing and Reducing Churn
Find out why your customers leave, fix the involuntary losses, and accelerate the first-value moment.
Worksheet: Churn Driver Breakdown
Estimate or pull the share of churn from each source. Split involuntary from voluntary, then rank voluntary reasons by both count and lost revenue.
- Involuntary churn share (%)
- Top voluntary reason #1 and its lost revenue
- Top voluntary reason #2 and its lost revenue
- Top voluntary reason #3 and its lost revenue
- Most expensive churn reason by revenue
- Quickest churn reason to fix
Exercise: Design Your Cancel-Flow Survey
Draft a one-question exit survey with 5 to 7 mutually exclusive reasons plus an optional comment, and decide the save offer for each branch.
- What 5 to 7 cancellation reasons will you offer as choices?
- What targeted save offer matches each reason while protecting your margin?
- Where in the cancel flow will the survey appear so response rates stay high?
Exercise: Find Your Activation Event
Compare retained and churned customers' first-week behavior to identify the action that predicts retention, then plan to drive every new customer toward it.
- What early action did retained customers take that churned ones did not?
- How will you confirm this correlation holds across more than one cohort?
- What welcome sequence or onboarding nudge will push new customers to that action?
Checklist: Churn Reduction Set Up
- Enabled card-updater and a dunning retry sequence
- Added a one-click update-payment link
- Launched a cancel-flow exit survey with coded reasons
- Mapped a save offer to each top churn reason
- Defined the activation event from cohort comparison
- Drafted a welcome sequence that drives time-to-value down
Designing Loyalty Programs That Work
Choose a loyalty structure that fits your business, set reward economics that stay profitable, and add a referral channel.
Worksheet: Loyalty Program Blueprint
Decide your program model and its mechanics. Use your purchase frequency and margin from Section 1 to justify the choice.
- Chosen program type (points, tiers, paid, punch, value)
- Why this fits your frequency and margin
- Earn rule (how customers accumulate value)
- Reward rule (what they redeem and at what threshold)
- Platform or tool you will use
- Point expiry and any earning exclusions
Worksheet: Reward Economics Check
Run the earn-and-burn math to confirm the program is profitable. The net gain per customer should be positive after subtracting reward cost.
- Target reward rate (% of spend)
- Average annual customer spend ($)
- Reward liability per customer ($)
- Expected spend lift from program (%)
- Extra gross profit from the lift ($)
- Net gain per customer after reward cost ($)
Exercise: Design a Two-Sided Referral Program
Structure a referral offer that rewards both the advocate and the new customer while staying below your CAC.
- What reward goes to the referrer and what to the new customer?
- At what point does the reward trigger, and how will you verify a real purchase?
- At which peak-happiness moment will you ask loyal customers to refer?
Checklist: Loyalty Program Ready to Launch
- Selected a program model matched to frequency and margin
- Confirmed reward economics produce a positive net gain
- Set point expiry and margin-protecting exclusions
- Chosen a loyalty platform and configured earn/burn rules
- Designed a two-sided referral offer below CAC
- Planned the moment and channel to ask for referrals
Re-Engagement, Feedback Loops, and Measuring Impact
Win lapsed customers back, build a closed-loop feedback system, and prove the revenue impact of your retention work.
Worksheet: Win-Back Campaign Plan
Define your lapse windows from your average time between purchases, then plan the message and offer for each stage.
- Average time between purchases (days)
- At-risk window and its message/offer
- Lapsed window and its message/offer
- Dormant window and its final offer
- Tool or platform running the automated flow
- Suppression rule after the final attempt
Exercise: Stand Up Your Feedback Loop
Decide which survey metric fits each moment and how you will close the loop so feedback drives change.
- Where will you use NPS, CSAT, and CES across the customer journey?
- Who follows up with detractors, and within what time window?
- How will you ask promoters for reviews or referrals while they are enthusiastic?
Worksheet: Retention Impact Forecast
Model the revenue impact of a one-point churn improvement on your base so retention can earn budget.
- Current customer base size
- Current LTV ($)
- Target churn reduction (percentage points)
- New estimated LTV ($)
- Added lifetime gross profit across the base ($)
- Estimated program cost and resulting ROI
Checklist: Measurement and Loops Live
- Defined lapse windows from real purchase-gap data
- Built an automated win-back flow with escalating offers
- Chose NPS, CSAT, and CES placements across the journey
- Assigned detractor follow-up within 48 hours
- Built a retention dashboard with the core metrics
- Forecast the revenue impact and set a monthly review cadence
Your Action Plan
- Week 1: Compute your churn rate, retention rate, and LTV, and build a starter cohort table.
- Week 1: Turn on card-updater and a dunning retry sequence to stop involuntary churn.
- Week 2: Launch a cancel-flow exit survey and begin coding the reasons by count and revenue.
- Week 2: Identify your activation event and draft a welcome sequence that drives toward it.
- Week 3: Choose a loyalty model, run the reward economics, and confirm a positive net gain.
- Week 3: Configure the loyalty platform and a two-sided referral offer below your CAC.
- Week 4: Define lapse windows and build an automated win-back flow with escalating offers.
- Week 4: Place NPS, CSAT, and CES surveys and assign detractor follow-up within 48 hours.
- Week 5: Build the retention dashboard with the core metrics and set a monthly review day.
- Week 6: Forecast the revenue impact of a one-point churn cut and present the ROI to your team.
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