Originating Author: Casey Carey, Director of Marketing, Google Analytics Introduction: Product Contribution Margin is one of the most important retail and ecommerce KPIs as it measures how different products and/or categories are contributing to cover the fixed expenses and the profitability of the business
#ShoppingCart #SitePerformance #Revenue #eCommerce #net #NetProductSales #LEVEL-EXPERT #TOPIC-ECOMMERCE #TOPIC-KPI
Use this as your primary objective in your A/B or MVT testing tool to test page layout, CTAs, and offers Evaluate by category and sub-category, you may need different or better product page designs for categories to improve add rate Evaluate by price range, you may need different or better product page designs for bigger price points to improve add rate #eCommerce #LEVEL-INTERMEDIATE #TOPIC-ECOMMERCE
With a Custom HTML Tag we can do the same configuration with a single GA4 Tag and a single trigger. But in the future Custom HTML Tag will delete and this is the (current) best way to spread this configuration (with GTM Template Gallery) Analysis Benefits: Settings the complete GA4 e-commerce (if you have already a good Google Universal Analytics Enhanced Ecommerce dataLayer configuration) Very limited numbers of GTM elements to set up GA4 Ecommerce Are you ready to take advantage of the power of dataLayer and custom Template in Google Tag Manager?
Analysis Recipe : ***This recipe provide Google Tag Manager codes but you can replicate for DTM, Tealium, etc*** 1
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Originating Author: Casey Carey, Director of Marketing, Google Analytics Introduction: The size, health, and composition of your customer file is one of the most important KPIs, especially for an ecommerce business. It provides an indication of the overall health of the business and provides a basis for understanding customer acquisition and retention costs, customer lifetime-value (CLV), and planning and resourcing customer service and logistics functions
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Originating Author: Dani Walter, Digital Analyst at Analytics Pros Introduction: For ecommerce sites, the most powerful & telling metric is conversion rate
See matching posts in thread - Careers Site Deep Dish with Google Analytics Enh...
Originating Author: Marc Richard Introduction: This recipe shows how to use Google Analytics (GA) Enhanced Ecommerce (EE) to measure job-level activity for your company's Careers Site.
Analysis Overview: The main goal of this analysis is to determine how well your ecommerce site is performing in terms of prompting users into the checkout process as well as getting them to commit to the checkout process once they’ve started it Analysis Benefits: This analysis will help you determine if there is room for improvement in either getting users to start the checkout process (i.e. on-site promotions, flash sales, etc) or complete the checkout process (i.e. removing or automating form fields) in order to improve the bottom-line conversion metric Analysis Recipe: Define the start of the checkout process for your business (i.e. add product to cart, view cart, click to enter payment information) Track a unique event (only one per session) when a user takes the initial action to start the checkout process as defined above Track a unique event (only one per session) when a user completes the checkout transaction Create a calculated metric for the Checkout Start Rate using ( sum of checkout start events) / (sum of site sessions) Create a calculated metric for the Checkout Completion Rate using ( sum of checkout completions) / (sum of checkout starts) Test changes on the website and evaluate in terms of lift in the corresponding indicator metric Potential Analysis Action Items: Once the calculated metrics have been set up, use them in conjunction with key segments to compare and contract checkout behaviors of different audience segments Vendor Specific Tips and Tricks: In Google Analytics, you can can capture all the checkout events and use Goals to de-duplicate the event actions to a single instance per session for the rate calculations Tags: ecommerce , google analytics, conversion rate analysis, checkout #eCommerce #Google Analytics #ConversionRate #VENDOR-GOOGLE #LEVEL-INTERMEDIATE #TOPIC-ECOMMERCE