Guides for store owners
who run on data
Practical posts on e-commerce analytics, data habits, and how to make better decisions — faster.
How to find your best customers before they find you
Most ecommerce businesses don't have a customer problem — they have a customer *identification* problem. Somewhere in your order history is a set of customers who are likely to buy again, refer friends, and stick around for years. The challenge isn't that they don't exist. It's that they look like everyone else until it's too late to act on it.
Why we built conversational analytics instead of another dashboard
Every analytics product seems to start the same way: a grid of charts. Revenue over time. Top products. Traffic sources. Conversion funnel. These dashboards are everywhere, and for good reason — they're a reasonable default view of a business.
Connecting Stripe, Shopify, and Meta in one place — what we learned
Ask three different platforms what happened with a single sale, and you may get three different answers. Shopify will tell you an order was placed. Stripe will tell you a payment was processed, possibly net of fees and minus a refund issued later. Meta will tell you an ad converted, attributed using its own model and window.
The weekly data ritual that takes under 10 minutes
There's a common assumption that being "data-driven" means spending hours every week buried in reports. For most store owners and operators, that's neither realistic nor necessary. What actually moves the needle is consistency — a short, structured check-in on a small number of meaningful metrics, done every single week, rather than an occasional deep dive.
Retention vs acquisition: where early-stage stores should focus
"Retention is cheaper than acquisition" is one of the most repeated pieces of ecommerce advice — and it's not wrong, exactly. But for a store with a small customer base and limited order history, the advice can be misleading if applied too literally. You can't retain customers you haven't acquired yet, and a retention strategy without enough volume to learn from doesn't have much to work with.