Understand how customers discover, buy and return your products.
Explore their journeys—and find your next ecommerce opportunity.
Brand A and B account for €10,000 of the €12,000 decline.
Product views held steady, but cart activity fell. Review their product experience, availability and traffic mix.
Explore journey analytics →5–18 Oct vs 19 Oct–1 Nov 2026. Store purchase value €100k→€88k. Brand A+B product views 10,000→10,000; cart events 1,800→1,440. Separate illustrative UK web-search index for “winter jackets”: 72→72 (0–100), same periods; refresh 9 Nov 2026. Search interest is not market demand. These observations do not prove why sales changed. Journey diagrams are separate illustrative before-purchase comparisons, not conversion funnels or an explanation of the sales decline. Search appears in 60% of Brand A journeys and 35% of Brand B journeys.
Fits into your ecommerce stack
Go beyond the headline number. Find where your team can make a difference.
See which products and shopping patterns deserve a closer look.
Explore returns analytics →28/100 vs 24/150 customer/SKU observations purchased 1–7 Sep 2026, with completed 30-day follow-up. Association, not cause.
Prioritise the products where buying interest fails to become a purchase.
Explore product opportunities →Three products account for €15,000 of €20,000 abandoned cart value, 19 Oct–1 Nov 2026. This is not guaranteed recoverable revenue.
Connect search, product views and size-guide use to cart additions and purchases for each SKU.
Explore shopping journeys →Illustrative product-viewing sessions for JACKET-01, 19 Oct–1 Nov 2026: 42 of 100 sessions that used the size guide subsequently added this SKU to cart, versus 18 of 100 sessions that did not use it. This association does not establish that the size guide caused the difference.
Compare how customers shop across brands. Follow discovery, cart activity and purchase behaviour to choose your next investigation.
Explore shopping journeys →Journey analysis connects how customers shop with what they buy and return. Take the next question wherever it leads—with ready-made reports or custom analysis built around your business.
Which new products are gaining traction—and which need attention?
Which products are being overlooked before shoppers even reach the cart?
What do customers who come back and buy again do differently?
Did our product-page or checkout experiment improve the outcome?
What do customers buy together, and what do they come back for?
What changed across our products, audiences or time periods?
Choose the events, audiences and outcomes that matter. We’ll help shape the analysis around your data.
Start with a free Revenue & Returns Diagnostic.
Schedule a briefing for your inbox. Go deeper in Claude with Stormly’s MCP connection.
The finding, the evidence and a next step.
Search appears in 60% of purchase journeys, compared with 35% for Brand B.
Review search results and product information. Compare similar audiences before choosing a test.
Keep asking. Stay connected to the evidence.
No. Its journeys with Search have €120 purchase value per journey, versus €132 without Search.
Brand A shows the opposite pattern. Compare each brand’s audiences and discovery experience.
Source: Shopping journey reportConnect Shopify in one click with our official app. Bring your existing tools—we’ll help you get the right data in place.
Explore all integrations →We agree the scope, review your available data and deliver
a short report your team can use.
Three supported findings with evidence and recommended next actions. We agree data, scope and timing before starting. If data cannot support three findings, we agree a narrower review or a data-collection plan. Any subscription or further work is a separate decision.