Measure what really converts, then prioritize what matters.
An e-commerce generates data continuously: traffic, carts, conversions, behavior. The problem is almost never the lack of data, but the decision you draw from it. Too often, you optimize on intuition, because tracking is polluted, reports are generic, and no one has time to read them.
We address the topic on three levels: properly configured tracking on your analytics tools, such as Google Analytics, a dashboard built for e-commerce around high-value metrics rather than generic reports, and machine learning trained on your own data, which makes your site more effective over time.
The principle is simple: decide on facts, not intuition. And because the data remains yours, it never leaves your e-commerce.
The telltale signs
When your data no longer serves you, it eventually shows
These are rarely emergencies: they are habits that set in. Here's what we observe at our clients before putting analytics back in place.
A Google Analytics report that no one opens
Tracking has been in place for months, the report is generic, and decisions are still made on intuition. The tool exists, but the data is useless.
A polluted data stream
Events sent twice or not at all, unfiltered bots, conversions counted twice: the figures are no longer reliable, and no one has time to check them by hand.
Decisions made on intuition
You launch the promotion because it's intuition, you move the product page because it's habit. And two weeks later, it's impossible to verify the real effect.
Generic metrics instead of the ones that matter
Bounce rate, page views, session duration: so many vanity indicators. What really determines the profitability of your e-commerce, you measure nowhere.
What we put in place
Three levels to move from intuition to facts
We don't stack tools: each level makes the next one more useful, and the rollout happens in the order you need it.
Properly configured tracking
Your analytics tools, finally reliable
We install and configure your analytics tools, such as Google Analytics, on a custom basis: events, conversions, segmentation, stream cleaning. The goal is simple: when a figure comes out of the report, we know exactly what it means.
E-commerce analytics
A dashboard built for e-commerce (in development)
Instead of generic reports, a dashboard designed for e-commerce: high-value metrics, the ones that influence your decisions, rather than vanity indicators. It's built on your business, not on a generic template.
Machine learning
A site that becomes more effective over time (in development)
Models trained on your own data learn what converts for you and make your site more effective over time. Your data remains yours: it never leaves your e-commerce.
Frequently asked questions
What clients ask us about analytics and conversion
The questions that come up most often before putting tracking and the dashboard back in place, and our answers.
