What is enhanced e-commerce?
Enhanced e-commerce in Google Analytics provides deep insights into the entire shopping journey, from product views to purchases, helping marketers optimize conversion funnels.
Key points
- Tracks the entire customer journey, not just final purchases.
- Helps identify friction points in shopping and checkout funnels.
- Enables granular analysis of product performance and promotions.
- Crucial for advanced audience segmentation and personalization strategies.
Unlocking deeper customer insights
Enhanced e-commerce is about more than just reporting numbers; it's about understanding behavior. By tracking specific events, you can uncover valuable insights into your customers' shopping habits. This level of detail helps you pinpoint exactly where users might be dropping off in their journey, whether it's on a product page, in the shopping cart, or during the checkout process.For instance, if many users view a product but never add it to their cart, it might signal an issue with the product description, pricing, or images. If they add it to the cart but don't complete the purchase, perhaps the shipping costs are too high, or the checkout process is too complicated. Enhanced e-commerce gives you the data to ask these specific questions and find the answers needed to make improvements. It also allows you to understand which internal promotions or product listings are most effective in driving initial interest and ultimately, sales.Key data points and how to use them
Enhanced e-commerce provides a wealth of data points that, when analyzed correctly, can lead to significant improvements.Product performance tracking
You can track how individual products or product categories perform. This includes knowing how many times a product was viewed, added to a cart, or purchased.- Identify popular items: See which products get the most views or additions to cart.
- Spot underperformers: Find products with high views but low conversion rates, suggesting a need for optimization.
- Understand trends: Track how product performance changes over time or with different marketing campaigns.
Shopping and checkout behavior funnels
This feature lets you visualize the steps users take from viewing products to completing a purchase. You can see the drop-off rates between each step in the funnel, which is incredibly useful for identifying friction points.- Shopping behavior: Tracks product views, add-to-carts, and initial checkouts.
- Checkout behavior: Monitors each specific step of your checkout process (e.g., shipping, payment, review).
Internal promotion and coupon code effectiveness
Measure the success of your on-site promotions, banners, and coupon codes. This helps you understand which offers resonate most with your audience and contribute to conversions. You can track views and clicks on internal banners, allowing you to optimize their placement and messaging.Refunds and returns analysis
Enhanced e-commerce allows you to track refunds and returns, providing a complete picture of the post-purchase experience. This data can help identify issues with product quality, descriptions, or customer service that might lead to returns.Advanced strategies for leveraging enhanced e-commerce data
For experienced marketers, the real power of enhanced e-commerce lies in applying advanced strategies.Audience segmentation and personalization
Use e-commerce events to create highly specific audience segments. For example, you can build an audience of users who viewed a specific product category but didn't purchase, or those who added items to their cart but abandoned it. These segments can then be used for targeted remarketing campaigns or personalized website content. Imagine showing a returning cart abandoner a special offer on the exact items they left behind.Attribution modeling refinement
By combining granular e-commerce data with information from other marketing channels, you can gain a more accurate understanding of how different touchpoints contribute to a sale. This helps you refine your attribution models and allocate your marketing budget more effectively across various campaigns and platforms.A/B testing and optimization
Enhanced e-commerce provides the metrics needed to effectively A/B test changes to your website. If you hypothesize that a simpler checkout form will reduce abandonment, you can track the checkout behavior funnel for both versions and quickly see which performs better. This data-driven approach ensures that every change you make is backed by evidence.Essential metrics for advanced marketers
Beyond basic sales numbers, advanced marketers should focus on:- Product detail view-to-add-to-cart rate: How many product page visitors actually add an item to their cart.
- Checkout abandonment rate by step: The percentage of users who leave at each stage of your checkout.
- Average order value (AOV): The average amount spent per transaction.
- Revenue per user: Total revenue divided by the number of unique users.
- Conversion rate by traffic source: Understanding which channels bring the most valuable customers.
Real-world examples
Optimizing a fashion retailer's checkout
A fashion e-commerce site used Enhanced e-commerce to discover a significant drop-off between the shipping information and payment steps. They streamlined the payment options and saw a 15% increase in completed purchases.
Boosting subscription box sign-ups
A subscription box company analyzed product list performance and found that users arriving from social media ads viewed fewer product details but added more items to cart when shown specific bundles. They adjusted their ad creatives to highlight bundles, improving their add-to-cart rate by 20%.
Common mistakes to avoid
- Incorrectly configuring the data layer, leading to missing or inaccurate data.
- Focusing only on overall conversion rate instead of analyzing individual funnel steps.
- Failing to segment data, missing out on insights specific to different user groups or traffic sources.