Metric StackDigitalChoose a package

Ecommerce service

Web Data Analytics

Connect collection, product analytics, cloud data and reporting around the questions your team needs answered.
Choose a packageView all services

What this covers

  • Tracking and data-quality review
  • Data flow and reporting design
  • Dashboards and attribution checks

Ideal for

  • Teams with fragmented reports
  • Businesses moving beyond spreadsheets
  • Marketers and product teams needing dependable answers

What should improve

  • Trusted definitions and cleaner data
  • A clearer view of journeys and channels
  • Reporting built for decisions

Data, made visible

See the whole picture in the data.

These examples show how traffic, behaviour, commercial results and reporting infrastructure can work together.

Illustrative examples · not client results

Traffic trends

A timeline makes shifts visible before a single headline number hides them.

10,000visits in Dec · example
JanFebMarAprMayJunJulAugSepOctNovDec

Device split

Compare the audience and the journey by device.

Mobile 6,200

Desktop 3,800

10,000 visits in this example

Acquisition channels

See which sources bring visits, then check their quality.

Organic42%Paid28%Direct18%Referral12%

ROAS and ROI

Keep ad revenue and profit measures separate.

Ad spend€12k
Attributed revenue€48k
4.0× ROASExample gross profit €18k · ROI after ad spend: 50%

Revenue attribution

A model assigns credit; it does not prove what caused a purchase.

€48k attributed revenue
Paid42%Organic33%Direct17%Email8%
Rounded shares from €20k, €16k, €8k and €4k.

From spreadsheets to answers

Choose the source, cloud platform and analysis tools that suit the client's stack.

Source filesExcel · Google Sheets
Cloud warehouseAWS · Azure · Google Cloud
▥BI reportsTableau · Power BI

Product event data can also feed Amplitude for journey and behaviour analysis.

Where this work helps

This service is useful when something needs attention but the cause is not clear.

  1. 01Website, product and sales reports disagree
  2. 02Excel or Google Sheets reporting has become hard to maintain
  3. 03Teams need to connect data sources to a warehouse and useful BI reports

How the work runs

From the first question to a tested improvement.

01

Set the questions

Agree the decisions the reporting needs to support and the definitions behind them.

02

Trace the data

Check collection, spreadsheet inputs, transformations, consent and source quality.

03

Build the flow

Connect the appropriate sources, warehouse and reporting tools for the existing stack.

04

Test and hand over

Reconcile key figures, document caveats and show the team how to use the reports.

Related Services

Other services that may help

All services
MeasurementGoogle Tag ManagerSet up and manage marketing tags without losing control of what fires, where or why.DevelopmentEcommerce DevelopmentFix storefront and checkout problems without breaking analytics or SEO.

Questions

Before we start

Do you only work with Google Analytics?

No. Depending on the project, we can work with GA4, Amplitude, Tableau, Power BI, Excel, Google Sheets and data platforms on AWS, Azure or Google Cloud.

Can you move reporting out of spreadsheets?

Yes. We can assess the current files and source systems, then design a suitable data flow into a warehouse and reporting layer.

Will analytics match the order system exactly?

Not always. Systems count and attribute activity differently. We explain the differences and agree which source should answer each question.

Explore related support

ArticleHow to build an ecommerce measurement plan people will actually useArticleHow to build an ecommerce KPI hierarchy that stays usefulEngagement exampleFixing unreliable ecommerce reportingSuggested starting pointMeasurement Foundation
Start small

Choose a package before committing to a larger project.

Choose a package