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Digital analytics service
Complete ecommerce measurement from product discovery through checkout, purchase, promotion, and refund.
Measurement system
Problem this service solves
Incomplete ecommerce events make product performance, checkout drop-off, promotions, and revenue difficult to reconcile.
Common problems
Purchase or item data is missing, duplicated, or malformed
Checkout steps cannot be compared consistently
Analytics revenue does not reconcile sufficiently for decision-making
Technical scope
Every stage is documented and verified. Your team can see what is being implemented, why it is needed, and how it will be validated.
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Outcomes
Reliable revenue reporting
Clear funnel drop-off analysis
Better merchandising and campaign decisions
Consistent product-level data
Method
Review the setup, data flows, constraints, and business requirements.
Define the architecture, naming, ownership, and acceptance criteria.
Configure the solution in controlled environments and document changes.
Test data, consent behaviour, and critical scenarios before handover.
What you receive
Events, parameters, item fields, and business rules for each journey.
Approved storefront, cart, checkout, purchase, and refund measurement.
Evidence comparing analytics signals with representative commerce records.
Test cases, known edge cases, documentation, and maintenance guidance.
Quality control
Validation covers realistic user scenarios, relevant browsers and devices, consent states, and reconciliation of critical signals. Findings are documented, prioritised, fixed, and retested.
Technology
Limitations
Romania delivery
Review the Romanian service scope, nationwide remote delivery, and local market use cases.
Frequently asked questions
Shopify, WooCommerce, Magento, headless storefronts, and custom platforms can be supported. The approach depends on checkout architecture, dataLayer quality, consent, and available APIs.
Common causes include consent, blockers, duplicate events, missing transaction IDs, payment redirects, refunds, currencies, tax definitions, time zones, and reporting rules.
Test transactions, controlled environments, browser and network inspection, platform diagnostics, and order reconciliation are used. Production tests are planned and identified clearly.
Yes, where the storefront exposes dependable data. Item data, values, identifiers, and funnel continuity are selected around business decisions and then validated.
Next step
Share the commerce platform, checkout flow, payment providers, current dataLayer, and the reports that need to reconcile.
Analytics consultation
A short description helps us prepare a relevant conversation about tracking, reporting, or data integration.