How to Build a Modern Ecommerce Data Stack

Introduction

As ecommerce brands grow, data becomes increasingly complex.

Information spreads across platforms such as:

Without a clear data structure, teams often rely on spreadsheets and disconnected reports.

A modern ecommerce data stack solves this problem by creating a single source of truth for customer data.

The foundation of the data stack is the ecommerce platform.

Many modern brands use Shopify, which captures:

However, ecommerce platforms rarely provide deep customer analytics.

The next layer consolidates data from multiple sources:

This layer structures customer and order data so it can be analysed properly.

The reporting layer provides dashboards and analysis tools.

Common tools include:

These tools allow teams to visualise data, but they depend heavily on well-structured underlying data.

Once customer insights are available, data can be pushed back into marketing platforms.

For example:

Platforms like Klaviyo rely heavily on being fed high-quality customer data.

Many brands encounter similar challenges:

These problems often appear once businesses reach £5–20m revenue, when marketing complexity increases.

To build a scalable data stack, brands should focus on:

When these layers are connected correctly, teams gain much clearer visibility into: