Before you act on churn, make “churn” part of the analysis.

Retention questions combine customer identity, activity, cohort entry, cancellation, contraction, and time windows. Spotonix exposes those choices so the responsible team can inspect the path behind the result.

Retention work starts with several valid definitions.

The business sees one question. The analyst sees identity resolution, event choice, cohort logic, time windows, and exceptions.

Customer identity

An account, user, workspace, and contract are not the same unit.

The selected entity changes which events and revenue belong to the customer.

Churn event

Cancellation, inactivity, contraction, and non-renewal describe different losses.

Each definition creates a different population and intervention.

Cohort window

Retention depends on when the clock starts.

Signup, activation, first purchase, and first paid period produce different curves.

A retention question can fork before the first query.

Resolve the highlighted concept, then evaluate whether the plan and evidence carry it through.

“Which customers are most likely to churn next month?”

Interpretation fork

Cancellation, inactivity, contraction, and renewal risk imply different labels and evidence.

“How is the new customer cohort retaining?”

Interpretation fork

Cohort entry and qualifying retained activity determine the curve.

“Which high-value customers are at risk?”

Interpretation fork

Revenue, margin, lifetime value, strategic tier, and growth create different segments.

Make the interpretation and answer basis part of the workflow.

01

Ask

Surface the business fork before execution.

When unresolved meaning can change the retention population and measure, Spotonix can ask instead of silently selecting a path.

02

Show

Expose the analytical plan and answer basis.

Inspect selected concepts, scope, filters, grain, generated logic or SQL when present, sources, and supporting artifacts.

03

Remember

Keep team-supplied meaning available.

Explicit terms can remain in workspace context for later analysis while their origin and the need for review stay visible.

The workflow still needs responsible people.

Spotonix can make interpretation and evidence visible. It does not establish causal impact, choose the intervention, or replace customer-domain review.

Risk ≠ cause

A pattern does not prove why a customer will leave.

Causal claims require an appropriate design and supporting evidence beyond a ranked output.

Segment ≠ action

A list does not choose the treatment.

Customer teams remain responsible for playbooks, contact policy, and the cost of false positives.

History changes

Late events and identity corrections can move the result.

Define backfill, cohort restatement, and review behavior for the workflow.

Bring retention questions with contested definitions.

Include cancellation, contraction, inactivity, cohort entry, account hierarchy, and late-arriving data in the 10-question evaluation.

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