Often times google analytics can have big discrepancies to your ecommerce store data in shopify. Your shopify store data is likely the single source of truth for net revenue figures. Customer counts, and customer lifetime value (clv). Connecting this data with google analytics allows your to implement shopify attribution which helps you to understand how marketing contributes to: subscription acquisition (subscription d2c) if you are selling your product as a subscription it’s important to understand which marketing activities acquire customers and (b) which marketing activities bring the whales (customers with a high customer lifetime value).
Higher net margin contribution
New customer acquisition understanding how marketing impacts new customer . Acquisition helps you to understand where to. Spend less on advertising on existing customers. Net margin if you run an e-commerce store with 100s or 1000s Switzerland Phone Numbers List of skus understanding net margin impact helps you to . Optimize your campaigns towards higher net margin contribution. Net revenue depending on your industry or product it can happen that you have issues with returns. In this case a net revenue model will help you to understand which campaigns have high cancellations and spend less on them.
Google analytics and shopif
The goal of this how to post is to give you hands on samples and inspiration for joining your shopify and analytics data together to make net revenue. And net margin adjusted decisions in your marketing efforts. Shopify and google analytics in this example BQB Directory you’ll learn how to connect google analytics and shopify. You’ll need access to google analytics and shopify. Step 1: connecting your data connecting google analytics and shopify attribution. Shopify clv create a windsor.ai account and connect google analytics, shopify and your advertising data.