E-commerce
Store analytics that tell you what to do next
Most store dashboards are a weather report: traffic's up, conversion's down, good luck. Useful commerce analytics answer operator questions — what should we promote, what should we fix, where should the next dollar of effort go?
We wire measurement to the full funnel from first visit to repeat purchase: which channels bring buyers (not just visitors), which products anchor baskets, where checkout leaks, what a customer is worth over time versus what they cost to acquire. Numbers with decisions attached, not vanity charts.
Reporting arrives in operator language. A monthly summary you can read in five minutes: what sold, what changed, what we recommend. Best sellers to feature, underperformers to reposition or cut, the abandonment fix worth making next. The dashboards stay available for digging, but you'll never need them just to know how the store is doing.
Then the data feeds back into the store — that's the point. Merchandising follows what baskets reveal, promotions target what margins support, and every change we ship is checked against the number it was supposed to move. Stores that iterate on real data compound; stores that don't just age.
What this looks like in practice
- Full-funnel tracking from channel to checkout to repeat purchase
- Product-level insight: anchors, attach rates, and dead weight
- Customer lifetime value against acquisition cost by channel
- Plain-language monthly reports with concrete recommendations
- Changes shipped, then verified against the metric they targeted
The bottom line
The store that learns from its own data gets better every month. We set up the learning loop, not just the charts.
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