Data Tracking Best Practices: View_Item

The act of viewing a product in an e-commerce store is important. It is a precursor for a visitor to turn into a customer.

Tracking and maintaining a clean data flow of view_item events is important for an e-commerce team for two main categories of use-cases.

In this guide, we will cover:

✅ what these use-cases are and how the view_item event relates to it.

✅ 8 common issues that can happen when implementing view_item events

✅ explanation of why should eCommerce teams track and maintain a clean view_item event data flow.

✅ a complete list of all recommended view_item event attributes in form of a Google Sheet!

Who might find this valuable:

👩‍💻 eCommerce BI Analyst who wants to track all data necessary for data analysis.

👩‍💼 eCommerce Marketing Automation Specialist who wants to capture all the data necessary for personalization use cases.

Who are we:

Datacop is a digital studio that helps eCommerce companies go from raw data to revenue 💰

We help eCommerce companies with the following:

👉🏻 Data Tracking best practices,

👉🏻 Data Movement across the organization with Data Pipelines,

👉🏻 Data Centralization with Data Warehouse,

👉🏻 Actionable Reporting,

👉🏻 Revenue Generating Use-Cases.

Over the last 6 years, we worked with 25+ eCommerce companies that generate between $10m - $300m in annual revenue.

If you would like to learn more about us, check out our website:
www.datacop.services