SHOP — Marketing, SEO & GEO
E-commerce Intelligence
Your shop read through data — catalog, orders, competitor prices, funnel, product pages, margins. Know where you lose sales and what to fix.
An e-commerce store generates data everywhere: catalog, orders, traffic, abandoned carts, competitor price lists. Almost nobody cross-references them. We do — and that’s where the sales left on the table show up.
The analyses
- Funnel and conversion: where customers drop between visit, cart and purchase — and why.
- Competitor prices: your products compared with whoever sells the same things, detected automatically and repeatable over time.
- Product pages: which pages sell and which hold you back — content, images, structure, perception.
- Customers and retention: who buys once and who comes back, and what separates the two groups.
- Pricing and margins: where the price can rise without losing sales, and where it’s eroding margin.
How we work
Data flows in automatically — natively from Shopify, from other systems via exports or databases — into our analysis platform, which cross-references it and produces reports with actions ordered by impact. No theoretical slides: your numbers, practical decisions.
Frequently asked questions
Which platforms does it work with?
Natively with Shopify (catalog, orders, analytics, abandoned checkouts imported automatically). For other platforms or ERPs we work via exports or direct database connections — that's our bread and butter.
What comes out of an analysis?
A concrete report for each area — funnel conversion, weak product pages, prices out of line with monitored competitors, customers who never return, per-product margins. Each point with its recommended action, ordered by impact.
One-off or continuous?
Both. The first full snapshot finds the biggest holes; then periodic monitoring pays off — especially on competitor prices, which change every week.