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A.I. Commerce Studio

Analytics and conversion

E-commerce analytics and conversion rate optimisation

Most online stores collect plenty of data, but little of it turns into decisions. We build clear reports and analyses that show where you lose customers and which changes have the greatest potential.

Conceptual outline of the work

01

Measurement audit

02

Fixes

03

Funnel analysis

04

Hypotheses and tests

Ways to work together
Analysis and dashboard projectMonthly analytics support
What you receive
An audit of measurement and data quality
First step
A short call to clarify your goals and the current state.

When you need it

Signs that your data is not helping decisions

  • It is unclear at which step customers leave.

  • GA4 is only partly configured or shows inconsistent data.

  • Product and stock decisions are made on gut feeling.

  • You do not know which website changes to test first.

Our approach

How we solve it

  1. Correct data

    We verify events and conversions in GA4 before drawing conclusions from them.

  2. Questions, not dashboards

    Every report answers a specific business question — where customers drop off and why.

  3. Change and verify

    We propose improvements and measure their effect, without promising percentages.

Analytics and conversion

What conversion optimisation includes

  1. Sales dashboards

    Key metrics for revenue, orders, average order value and margins in one place.

  2. Conversion funnel analysis

    Tracking the path from visit to order and finding the largest losses.

  3. Abandoned cart analysis

    Causes, patterns and specific measures to reduce abandonment.

  4. Product performance reports

    Which products sell, which are viewed without being bought and which tie up stock.

  5. Inventory analytics

    Signals for stock-outs, slow-moving items and seasonality.

  6. GA4 integration

    Correct setup of e-commerce events and conversions, and verification of the data.

  7. A/B test recommendations

    Prioritised hypotheses with the expected effect and how it will be measured.

  8. Customer journey improvements

    Specific changes to navigation, product pages and the cart.

Use cases

Where it helps in practice

Typical scenarios — every project starts from your own process and data.

  • Abandoned carts

    Finding the step where customers give up and the likely reasons.

  • Sales reporting

    One dashboard combining store, advertising and analytics data.

  • Tracking check

    Correct purchase events so your advertising data is right too.

Technical review

What we check in your measurement setup

  • E-commerce events in GA4

    Whether view_item, add_to_cart, begin_checkout and purchase are sent correctly and with values.

  • Missing and duplicate orders

    Comparing orders in analytics with the real orders in the platform for the same period.

  • Consent and measurement

    How the cookie banner affects the data and whether consent mode is configured correctly.

  • Funnel by device

    Where customers drop off on mobile compared with desktop.

  • Speed of key steps

    A slow cart or checkout often explains drop-off better than the design does.

What you receive from the analysis

  • An audit of measurement and data quality
  • A dashboard with the key metrics
  • A funnel analysis with prioritised recommendations
  • A testing and measurement plan

Ways to work together

  • Analysis and dashboard project
  • Monthly analytics support

Pricing is set once the scope is clear and is provided in a written quote.

Request a quote

Workshops and assessments

Consultant-led formats with a clear scope that we usually start with.

  • WorkshopScoped individually

    E-commerce Integration Discovery

    A workshop on the flows between the store, ERP, CRM, warehouse, payments and delivery: which data, which way, how often and who owns it.

How we work

How the analysis runs

Our full process

What we need from you

  • Access to GA4 and Google Tag Manager
  • Access to the platform's reports
  • Information about campaigns and seasonality
  • The business questions the data needs to answer
  1. Measurement audit

    Checking events, conversions and how they match real orders.

  2. Fixes

    Closing the gaps so that the data can be relied upon.

  3. Funnel analysis

    Finding the steps with the largest losses and their likely causes.

  4. Hypotheses and tests

    A prioritised list of changes and how the effect of each one will be measured.

Analytics and conversion

Frequently asked questions

Do we need GA4 to get started?

Not necessarily. We can start with the data from your store platform and gradually build reliable measurement.

Is the tracking GDPR-compliant?

We design measurement so that analytics tools only activate after consent where consent is required, and we recommend collecting as little data as possible. Compliance as a whole remains your organisation's responsibility.

Can you combine data from several sources?

Yes — data from the store, GA4, ad platforms, ERP or spreadsheets can be combined in one dashboard.

Related tools

Start with a quick self-assessment before we talk.

  • Available now

    Business impact

    AI ROI calculator

    Calculated only from your own numbers, with the formula shown and no assumed values.

    For:
    Finance and operations managers
    You get:
    An impact calculation from your own figures only, with the formula and assumptions shown.
    Time:
    about 4 min

Useful reading

  • SEO and organic growth

    Technical SEO audits, category and product optimisation, structured data and Core Web Vitals with measurable progress.

  • AI workflow automation

    Inquiry classification, CRM workflows, document processing and system integrations — with human approval where needed.

  • AI strategy & readiness

    A structured assessment of your store, data and processes that ends with a prioritised improvement plan.

Discuss this service with us

Describe your task and we will suggest a suitable scope and engagement model.

  • Written quote with a clear scope
  • Transparent milestones and timelines
  • Your data is used only to reply to you