Find where eligible shopping sessions leave the purchase journey
A RUSA case study for retail and e-commerce teams, connecting consented session events, cart changes, payment attempts, and completed orders for ecommerce checkout funnel.
Cart to checkout rate (%)
Checkout completion rate (%)
Payment attempt success rate (%)
Median checkout completion time (seconds)
THE CHALLENGE
A single conversion rate hides distinct checkout problems
Overlapping offers
Discounts cannot be attributed consistently to a promotion.
Missing cost context
Sales reports omit product cost and funded discounts.
Delayed returns
Returns occur after the promotion reporting window.
Stock constraints
Promotion performance is reviewed without product availability.
THE SOLUTION
Ecommerce Checkout Funnel Review Framework
Journey sequencing
Apply explicit rules for overlapping promotions and discount funding.
Margin calculation
Connect net sales, product costs, and allocated discounts.
Return linkage
Attach returned items to the original promotional sale.
Availability context
Review promoted stock and sell through alongside margin.
THE APPROACH
Session Boundary Design
Assign each sale to active offers using store, product, trading date, and approved overlapping-offer rules.
Discount Funding Allocation
Separate retailer-funded discounts from supplier contributions and document allocation across stacked promotions.
Promotional Cost Matching
Attach effective product costs to promoted order lines before calculating net sales and gross margin.
Late Return Attribution
Group payment outcomes by gateway, device, and recorded failure code while preserving successful retry paths.
Tracking Coverage Audit
Quantify missing stage events and consent exclusions before comparing conversion across channels.
Drop-Off Experiment Planning
Select specific device-stage problems for investigation and validate proposed changes through an appropriate experiment.
THE IMPACT
Stage visibility
Teams could isolate the point at which checkout is interrupted.
Cleaner counts
Repeated events could be excluded from funnel denominators.
Payment context
Gateway failures could be separated from voluntary abandonment.
Transparent coverage
Channel comparisons could show the effect of missing tracking.
Controlled review
Authorized teams could prioritize device-stage drop-offs and recurring gateway failures, with source evidence retained beside the review case.
Measurable evaluation
A pilot could establish baseline values for cart to checkout rate (%) and assess changes after approved actions. Observed funnel differences would support hypotheses for testing, not prove the cause of abandonment.
Explore Retail Promotion Profitability
Work with RUSA Analytics to connect sales lines, promotion calendars, product costs, discounts, and returns and create a governed workflow to review loss-making offers, overlapping discounts, and constrained promoted items. Start with a scoped concept or pilot and agreed success measures.
MORE WORK
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