Free live webinar for e-commerce managers, directors, and owners.
Ads keep getting pricier, and doubling your budget doesn't double your sales — we'll show you how to combine profitable retention with effective acquisition using your own LTV data.

The live AI data analysis battle test.
ChatGPT, Claude, Gemini — tested head-to-head on real e-commerce data. Watch the recording on demand.
Webinar for e-commerce managers, directors, owners, and C-level executives

Free webinar for e-commerce managers, directors, and owners.
Customer analysis: LTV, CAC, RFM, cohorts and AI in one framework. Watch the recording on demand.
For e-commerce managers, directors, owners, and C-level executives

Free webinar for e-commerce managers, directors, and owners.
Automate your reporting — make decisions in 10 minutes, not after a week of waiting. Watch the recording on demand.
For e-commerce managers, directors, owners, and C-level executives

Dear manager, director, owner, or simply a team member of an IdoSell store.

You run an online store, and like most e-commerce businesses, you’re likely facing a major challenge - one you might not even be aware of. But because you’re using the IdoSell platform, fixing it could be easier than ever before.

The business bottleneck was analytical chaos, i.e., manual work:

The team spent a huge amount of time manually combining data from various systems just to create simple reports (e.g., a summary of marketing expenses).

When you hear the term "Data Warehouse" or "BigQuery," two thoughts probably cross your mind. First: "This is the technology I need to connect data and scale my business." Second: "This sounds like a Google invoice I won't have control over."

Is your analytics built of straw, sticks, or brick? We use the Three Little Pigs metaphor to reveal critical e-commerce data mistakes. Discover why "black box" systems and simple Looker Studio plugins fail at scale, and learn how to build a durable data foundation on Google Cloud with WitCloud.

Waiting a week for a crucial ROAS report? This article dissects how data chaos, human silos, and manual reporting paralyze e-commerce businesses — and what automation looks like in practice.

The new data standard for e-commerce stores operating across multiple markets.
PL, DE, CZ, RO – one framework, full business visibility. Watch the recording on demand.
A dedicated webinar for managers, directors, owners, and C-level executives

Simple and fast analysis of Google Analytics 4 data in BigQuery thanks to the WitCloud platform. Session tables, marketing channel attribution and more.

When interacting with Google Analytics 4 GA4 data in BigQuery, we managed to encounter various difficulties that are worth knowing about in advance, before many hours have passed on a detective attempt to overcome them.

Exporting Google Analytics 4 GA4 data to Google BigQuery allows you to protect us against data loss and bypass many limits and restrictions waiting for us in the panel or API connection.