Analytics and Marketing Intelligence

Ecommerce Analytics

Understand how customers move from product discovery to purchase - and where the ecommerce journey loses value.

Ecommerce data is distributed across the website, analytics, advertising platforms, product feeds, payment systems and order records. Teams optimise campaigns or products using incomplete revenue, funnel and customer evidence.

Why this matters

Ecommerce data is distributed across the website, analytics, advertising platforms, product feeds, payment systems and order records. Definitions can differ, returns may be missing and attributed revenue can be mistaken for incremental impact.

Teams optimise campaigns or products using incomplete revenue, funnel and customer evidence.

What Ecommerce Analytics involves

Ecommerce Analytics designs or improves the measurement system for product views, carts, checkout, purchases, revenue, refunds and relevant customer journeys, then translates the data into decision-ready reporting.

What the work can cover

The precise scope depends on the starting point and the decision to be made. The following areas are commonly considered in Ecommerce Analytics.

Commerce measurement plan

Define and test commerce measurement plan so stakeholders understand what the evidence measures, where it is limited and how it should inform action.
Product and transaction events

Address product and transaction events in the context of the wider engagement, connecting the work to the available evidence and the intended decision.
Checkout and funnel analysis

Examine the available evidence for checkout and funnel, then identify the issues, opportunities and decisions that should shape the next step.
Merchandising and customer reporting

Define and test merchandising and customer reporting so stakeholders understand what the evidence measures, where it is limited and how it should inform action.
Data quality checks

Address data quality checks in the context of the wider engagement, connecting the work to the available evidence and the intended decision.
Decision-focused dashboards

Define and test decision-focused dashboards so stakeholders understand what the evidence measures, where it is limited and how it should inform action.

When this is the right starting point

Retailers and ecommerce organisations that need reliable funnel measurement, product and campaign analysis, improved tracking or clearer commercial reporting.

It is less useful when there is no clear owner, insufficient access to the relevant systems or evidence, or no capacity to act on the findings. Discovery should confirm suitability before a wider programme is agreed.

How we approach the work

DSC adapts the detail to the organisation, but Ecommerce Analytics follows a controlled, evidence-led sequence.

Define the decisions and measures
Clarify the business questions, conversion events, reporting users, metric definitions and governance requirements.
Audit the current measurement estate
Review data collection, tags, consent behaviour, platform configuration, data flows, known gaps and historical constraints.
Design and implement the solution
Configure the agreed measurement architecture with controlled naming, validation rules, permissions and documentation.
Test and reconcile
Verify events, parameters, journeys, consent states and reports against expected behaviour using repeatable QA evidence.
Document, hand over and review
Provide a measurement map, ownership, change controls, reporting guidance and a route for ongoing quality review.

What you receive

The final scope is agreed around the decision rather than a fixed menu. A typical Ecommerce Analytics engagement may provide:

ecommerce measurement plan
event and revenue implementation review
funnel and product reporting
data reconciliation and QA
decision-focused dashboard or analysis framework

The proposal should state which items are included, the evidence and access required, who owns each review and what sits outside the agreed scope.

What success should look like

A more trustworthy view of ecommerce behaviour and performance, with clear definitions and an analysis process linked to commercial decisions.

Success means the agreed events, definitions and reports work as designed, discrepancies are understood and stakeholders can use the evidence more confidently. It does not make attribution causal.

Relevant client work

Relevant client work showing how this service area has been applied in practice.

Strengthening analytics and reporting for a complex professional-services organisation

An ongoing analytics engagement focused on data integrity, tracking, dashboard evolution and turning multi-channel performance data into clearer decision support.

Building an integrated digital growth model for a private second-level school

A joined-up programme spanning research and strategy, search visibility, paid acquisition, analytics and digital experience to strengthen the school's recruitment journey.

Building an integrated digital growth programme for a complex property proposition

A joined-up engagement combining research, search, paid media, digital experience and analytics to improve how a high-consideration property proposition could attract, inform and convert prospective buyers.

Frequently asked questions

What does Ecommerce Analytics involve?

Ecommerce Analytics designs or improves the measurement system for product views, carts, checkout, purchases, revenue, refunds and relevant customer journeys, then translates the data into decision-ready reporting.

When should an organisation consider Ecommerce Analytics?

Retailers and ecommerce organisations that need reliable funnel measurement, product and campaign analysis, improved tracking or clearer commercial reporting.

What will DSC need from our team?

Business questions, measurement definitions, platform and tag access, consent configuration, technical contacts, known discrepancies and the stakeholders who use the reports.

What will the engagement produce?

The exact outputs are agreed in the proposal. Typical deliverables include ecommerce measurement plan, event and revenue implementation review, funnel and product reporting, data reconciliation and QA, and decision-focused dashboard or analysis framework.

How should success be assessed?

Success means the agreed events, definitions and reports work as designed, discrepancies are understood and stakeholders can use the evidence more confidently. It does not make attribution causal.

Can DSC guarantee a specific commercial result?

No. DSC can improve the quality of diagnosis, planning, implementation and learning, but outcomes also depend on the organisation, market, budget, offer, platform behaviour and the way recommendations are implemented.

Review Ecommerce Measurement

Share the current situation, the decision you need to make and any constraints that matter. We will help determine whether Ecommerce Analytics is the right next step and what evidence would be required.

Review Ecommerce Measurement