Churn Diagnosis
Assigning owners to the root causes of customer loss
Turn a suspected customer-loss cause into a bounded issue with an accountable owner, evidence check, repair and review date.
Desk
Retention Analysis Desk
Examines the evidence Australian teams use to understand why customers leave or stay.
Retention Operations
Avoiding promotional messages before a service problem is resolved
Set a service-case promotion hold, recheck it near sending and release it after the agreed remedy is complete.
Cohort Analysis
Building cohorts from a meaningful first purchase
Define the first qualifying purchase, resolve identity and order-status edge cases, and document a cohort start date that colleagues can reproduce.
Churn Diagnosis
Checking whether product expectations match the purchase page
Checking whether product expectations match the purchase page: practical criteria and a clear evaluation process for marketing teams.
Churn Diagnosis
Churn research
Investigate apparent customer churn through interviews, purchase histories and findings that distinguish reported reasons from observed facts.
Cohort Analysis
Comparing retention across acquisition sources
Assign a consistent acquisition source, compare mature first-purchase groups and account for product mix before interpreting repeat-purchase differences.
Cohort Analysis
Comparing retention across products with different usage cycles
Compare product retention with appropriate buying opportunities, mature customer counts and clearly labelled follow-up windows.
Churn Diagnosis
Customer experience problems that reduce retention
A customer who does not buy again may have lost interest, bought elsewhere or had a disappointing first order.
Churn Diagnosis
Customer retention diagnosis
Diagnose a retention problem by defining eligible repeat purchases, checking buying cycles and investigating plausible causes before choosing an action.
Retention Operations
Designing a holdout for a retention campaign
Define the control treatment, assign customers once, check what the platform withholds and measure a campaign against its holdout.
Churn Diagnosis
Detecting customers trained to wait for a discount
Use purchase and promotion timelines to investigate discount waiting, then test whether another offer adds profitable orders.
Churn Diagnosis
Estimating the cost of an unresolved churn driver
Estimate contribution and avoidable costs at risk from a specific churn driver without treating association as proven lost sales.
Churn Diagnosis
Finding recurring delivery issues in lost-customer cohorts
Delivery trouble can damage a first purchase, but a low repeat rate alone does not show that delivery caused it.
Retention Operations
Following up after a delayed or damaged order
Verify a delayed or damaged order, give an accurate update, arrange the appropriate solution and confirm the outcome.
Churn Diagnosis
Grouping churn reasons into actionable categories
Build a clear churn-reason codebook, retain multiple reasons and unknowns, and connect each category to a practical check.
Churn Diagnosis
Identifying high-value customers with declining activity
Find historically valuable customers whose recent pattern has changed, while checking service and category context before outreach.
Churn Diagnosis
Interviewing former customers without a defensive sales pitch
Invite former customers to voluntary research interviews, ask neutral questions and handle complaints without defending a sale.
Retention Operations
Keeping an inventory of active retention tests
Record test ownership, assignment, live exposure, changes and follow-up so retention experiments can be operated and interpreted.
Retention Operations
Keeping retention segments interpretable for operators
Make retention segments understandable enough for operators to explain, maintain and safely act on.
Churn Diagnosis
Linking unresolved complaints to later inactivity
A complaint that is marked “solved” in a ticket system may still feel unresolved to the customer.
Churn Diagnosis
Measuring whether a resolved complaint restored trust
Separate remedy completion, customer feedback and later purchasing to assess a resolved complaint without overstating the result.
Retention Operations
Prioritising operational fixes before more retention messages
When customers repeatedly report the same problem, an extra discount email can create another order with the same failure.
Cohort Analysis
Reading cohort curves without confusing seasonality with churn
Check elapsed time, calendar season, curve calculation and cohort maturity before calling a drop in repeat purchasing churn.
Retention Operations
Reporting retained customer count alongside revenue
Define eligible returners and report their count, orders and net sales together so changes in customer reach and spending stay visible.
Retention Operations
Retention after a bad customer experience
Resolve a poor customer experience, confirm the remedy, pause unsuitable promotions and assess what happened afterwards.
Cohort Analysis
Retention cohort analysis
Build purchase cohorts with a clear return rule, compare customers at equal elapsed time, and investigate changes without treating inactivity as proof of churn.
Retention Operations
Retention dashboards
Build a retention dashboard that separates eligible customers, repeat orders, revenue, subscriptions and uncertain forecasts.
Churn Diagnosis
Retention experimentation
Plan retention experiments with a clear comparison, stable customer assignment and outcomes that account for contribution and purchase timing.
Cohort Analysis
Retention for low-frequency purchases
Plan useful post-purchase support, recommendations and relevant future sales for products customers buy only occasionally.
Retention Operations
Retention programme operations
Set up the operating records, contact checks, escalation owners and review decisions that keep a retention programme coherent.
Retention Operations
Retention segmentation
Build retention segments around purchase behaviour and a distinct next action, then check data quality and contact eligibility.
Churn Diagnosis
Retention versus loyalty: defining the business problem
Learn what repeat purchases can show, what loyalty requires beyond order data, and how to write a useful customer problem statement.
Retention Operations
Reviewing overlapping retention incentives
Check stacking, checkout outcomes, contribution and customer-facing claims when retention incentives overlap.
Retention Operations
Reviewing retention results after an operational change
Check whether an operational fix was delivered, compare later customer outcomes fairly and qualify any claimed retention effect.
Cohort Analysis
A Method for Segmenting Customers by Purchase Rhythm
Use observed reorder intervals to distinguish expected gaps from genuinely unusual inactivity.
Churn Diagnosis
Separating customer loss from naturally infrequent buying
Assess a quiet customer history against product buying opportunities, comparable purchase gaps and complete observation windows.
Churn Diagnosis
Separating price objections from weak perceived value
Use neutral questions and purchase context to distinguish an outlay barrier from a product or service value problem.
Churn Diagnosis
Testing a reported churn reason against lost-customer purchase histories
Build a customer timeline and distinguish records that support, complicate or cannot test a stated churn reason.