Measurement Planning
Basket and merchandising analytics
Use product pairings, recommendation results, category routes and onsite search evidence to guide merchandising decisions.
Section
Measurement Planning
Measurement Planning
Choosing a guardrail metric for a store test
Choose store-test guardrails from plausible harms, with the right denominator, timing, data source and response rule.
Measurement Planning
Choosing store metrics from business decisions
Choose ecommerce metrics by linking each business decision to a counting unit, comparison, owner and action.
Measurement Planning
Comparing forecast demand with actual order patterns
Compare issued variant forecasts with qualifying orders, flag stock-constrained periods and read forecast errors within their limits.
Measurement Planning
Comparing product views with actual purchases
Compare product-view and purchase counts, identify when a viewer-to-buyer rate is possible, and investigate gaps without mislabelling the measure.
Measurement Planning
Defining a conversion experiment before changing the store
Write a store-test brief that fixes eligibility, assignment, the conversion formula, decision threshold and end rule before launch.
Measurement Planning
Ecommerce analytics operations
Set owners, review periods and change records that keep ecommerce reports useful as data and systems change.
Measurement Planning
Ecommerce dashboard design
An ecommerce dashboard should help a team decide what to do today and explain what happened after the numbers settle. Start with decisions, definitions and data …
Measurement Planning
Ecommerce experimentation
Plan an ecommerce experiment around a clear decision, eligible shoppers, one primary outcome, guardrails and a trustworthy result.
Measurement Planning
Ecommerce measurement planning
Plan ecommerce measurement around business decisions, clear metric definitions, source records and a review cycle.
Measurement Planning
Estimating customer value from observed purchase history
Reconstruct observed customer value from qualifying orders, a fixed time window, later adjustments and the original entrant count.
Measurement Planning
Grouping customers by first completed purchase
Define a completed purchase, resolve customer identities and assign first-purchase cohorts without confusing first-order date with payment confirmation.
Measurement Planning
Maintaining a dictionary of store metrics
Maintain metric formulas, owners and effective dates so report users can reproduce store figures and recognise definition changes.
Measurement Planning
Planning an analytics migration without breaking historical comparisons
Protect ecommerce trends during an analytics migration with saved definitions, overlap checks and clearly labelled breaks.
Measurement Planning
Product performance analytics
Compare product interest, purchases, retained sales, margin and physical returns with clear units, time periods and cost coverage.
Measurement Planning
Promotion analysis
Assess an ecommerce promotion through retained sales, contribution, customer and product effects, and an estimate of demand without the offer.
Measurement Planning
Removing metrics that do not inform a trading decision
Every daily dashboard metric should answer a question or trigger an action. If it only fills space, move it to a detailed report or retire it.
Measurement Planning
Separating leading indicators from confirmed outcomes
Product-page visits, add-to-cart events and checkout starts can warn of a change before sales settle. They are signals to investigate, not sales in another name.
Measurement Planning
Separating seasonal demand from promotional uplift
Build a seasonal baseline for an ecommerce sale, show uncertainty in estimated uplift and plan a stronger comparison for the next offer.