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Ecommerce Performance Analytics

Turning ecommerce data into actionable insight through KPI frameworks, dashboarding, and funnel analysis that drive profitable decisions.

From Data to Direction

We audit your current analytics setup and design KPI frameworks tied directly to your commercial objectives. By mapping the gaps between what you measure and what you need to know, we build dashboards and reporting structures that surface the right data at the right level of detail — from executive summaries to real-time operational views.

Our analysis goes beyond surface-level reporting. We map conversion funnels to identify where drop-off occurs, run cohort analysis to understand how customer segments behave over time, and model lifetime value to inform acquisition spend. The result is a data practice that moves beyond describing what happened and starts informing what to do next.

How the process works

We begin with an audit of your current setup: which tools measure what, where data overlaps or is missing, and where tracking is unreliable. We then define the KPIs that actually steer the business and tie them to your commercial goals, so reporting answers real decision questions.

From there we build dashboards and reporting structures in layers, from executive overview to real-time operational views. We validate the numbers against your own sources, document definitions, and hand over a setup your team can use and maintain itself.

What is included

The delivery covers a review of your existing analytics setup, a KPI framework tied to your goals, and dashboards at the levels of detail your roles need. We set up conversion funnels, cohort analysis and lifetime value modelling, so you can see not just what is happening but why.

You also receive documented metric definitions and a clear reporting structure, so numbers mean the same thing across teams. This removes debates about whose figures are correct and frees up time to act on the insights.

Pitfalls we help you avoid

Most stores drown in numbers but lack insight. Too many dashboards, double counting between tools, and KPIs without ownership produce reports nobody acts on. We prioritise a few decision-driving metrics over a sea of data points.

Another common mistake is tracking that cannot be trusted after changes to consent, theme or checkout. We make sure your measurement is robust and documented, so data stays reliable as your Shopify store evolves.

Why Mercive

We work at the intersection of Shopify development and growth, so we understand both the data and the store it comes from. That means our analysis is grounded in how your store is actually built and what you can realistically change.

Our aim is a data practice that informs decisions rather than just describing the past. You get more than reports, you get a structure that helps you know what to do next.

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Frequently asked questions

It depends on your goals, but it usually comes down to conversion rate, lifetime value, average order value and funnel drop-off. We define the few metrics that actually steer your business rather than reporting everything.

Reporting describes what happened. Analysis explains why and points to what you should do. We build both, but prioritise insight you can act on, through funnel analysis, cohorts and lifetime value.

Yes. We start with an audit of what you already use and map the gaps between what you measure and what you need to know, before we build on it or simplify it.

Cohort analysis groups customers, for example by when they first purchased, and tracks their behaviour over time. It shows whether new customers become more or less valuable and qualifies your acquisition spend.