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Shopify Analytics Mistakes To Know And Avoid
ONLINE
This is the FREE online-stream. You will learn how to deal with Shopify analytics bottlenecks and how to get clean, consistent data for better decision making with GA4, GTM, Triple Whale, Looker etc...
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What This Online-Stream is About?
It's all about Shopify marketing analytics. We’ll dive into the most common mistakes in marketing analysis on Shopify and, more importantly, how to avoid them. Whether you’re just starting with Shopify or consulting, this session will help you refine your analytics strategy and improve decision-making.
Introduction
We will briefly explain how different approaches for building an analytics for Shopify store..
Typical Mistakes
And how to avoid them.
Questions
Special time will be dedicated to answering questions.
Questions you want to ask
Oh you know what I am talking about...
  • Limited Customization of Shopify Checkout
    The tracking of advanced actions, such as custom metrics or precise traffic source attribution.
  • Attribution Challenges
    Shopify relies on last-click attribution by default. This approach can distort your understanding of channel performance, particularly when you’re running multi-channel campaigns. Channels like email marketing or retargeting may be underrepresented in reports.
  • Manual Event Tracking Setup
    Shopify tracks basic events (e.g., product views, add-to-cart, and purchases) by default. However, tracking custom events like newsletter signups, promo code usage, or form submissions requires manual setup.
  • Client side & server side discrepancies
    How to track better and how to avoid data leaks?.
  • A recording

    For revisiting the material
  • A slidedeck

    With all key concepts and step-by-step instructions
  • A surprise

    BigQuery SQL code examples for Shopify and GA4
Instructor
Alex Ignatenko
Founder, Analytics Leader @ add-2-cart.online
With over ten years of experience in product and marketing analytics, Alex help ecommerce companies earn more from each attracted user through a deep approach to traffic analysis and redistribution of the marketing budget. His mission is to enable data-driven decision making and effective experimentation for online businesses
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