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Knowledge base

DataOrganizer specific use cases: how e-commerce teams use data to make decisions about assortment, marketing, and pricing.

E-commerce attribution: what your shop doesn't record about sales sources

E-commerce conversions and attribution: what is really known about sales sources

Merchant Center: where Google decides which of your products it will show

Google Merchant Center: why a shop needs it, how it works and how to feed it data

Product feed: what it is, how to manage it and how to split your catalogue

Why GA4, ad platform dashboards and your shop’s sales figures never agree

Why GA4, ad platforms and your shop never show the same numbers

You asked AI about your store. You got text that fits every store in the country.

Don’t know what to ask AI? These 10 questions work in any store.

Are you buying a calculator or a statistics machine? What happens when an LLM analyzes your data.

Don’t stop at the analysis. Ask for the next step.

The week’s results as a presentation. In one sentence.

From analysis to brief. Without retyping the numbers.

80% of revenue comes from 30% of the catalog. A look at product_pareto.

Revenue is growing. Profit – unknown. A look at product_cost.

Your assortment from a new angle. A look at product_name_tokens.

Customers speak through the cart. A look at product_affinity.

Why do you need an event log when analyzing your store’s data?

Have a question about your data?

Write or call us. We will show you how to build an e-commerce data warehouse with us, ready to work with the AI Assistant.

Write to us contact@dataorganizer.io Call us +48 571 460 217