Explore the chapters:
- Introduction: Ecommerce Analytics: A Guide to the Most Popular Platforms and Tools
- Chapter 1: Ecommerce Data by Platform
- Chapter 2: Google Analytics and Enhanced Ecommerce Tracking
- Chapter 3: Social Media Advertising and Ecommerce: Facebook Ads vs. Instagram Ads
- Chapter 4: Email Marketing and Email Automation Tools
Introduction
Google Analytics is a data collection and marketing analysis tool offered by Google that aims to help businesses better understand the traffic coming to their websites, where they’re succeeding and where they need improvement.
With this robust set of reporting tools available to merchants at both paid and premium levels, businesses can better plan for the future by learning from past and present performance and trends. Google Analytics provides strong analysis across online channels like sites and apps, as well as ties into offline channels.
While Google Analytics certainly isn’t the only web analytics platform, one of its major advantages is that it’s compatible with other Google tools (like Google Ads and Search Console) and easy to use on a number of platforms.
In addition - and particularly relevant for ecommerce and multichannel merchants - Google Analytics offers a higher level of data aggregation called Enhanced Ecommerce, which allows for more granular analysis of an online business’s metrics to improve marketing strategy, planning, and growth.
What does Google Analytics measure?
Later in this chapter, we’ll cover the technical side of getting a site up and running with Google Analytics and Enhanced Ecommerce, but first - a quick overview of what Google Analytics measures on a basic level.
In the Google Analytics dashboard, there are a number of reports you can run to track specific information that can be customized to each individual site or business. There are five main categories of reports, which may be more or less important to a site owner, depending on the type of business.
Real-time
Real-time reporting allows you to see what’s happening on a website in an immediate time frame. These reports are generated and updated within seconds of activity on a website, and can be useful for a number of reasons.
This type of data is important if changes have been made to a site and an activity increase is anticipated - for instance, interaction with a blog post or marketing campaign that’s meant to spark interest or traffic. Real-time reporting is also crucial for big brands that constantly experience high levels of site traffic - meaning any small increase, decrease or change in performance could have a huge impact to the bottom line.
Audience
Audience reporting can provide a broad range of data about who is interacting with a site. With around 15 categories to choose from, these reports help merchants understand not only the demographics of the users on their site, but also additional information like the devices they’re using, where they are located, their flow through the site, and more. A wide array of metrics can help segment users and determine the best course of action for a business from an audience perspective.
Acquisition
Acquisition reports display how users are being led to your website - what source brought them to you? It’s incredibly useful when it comes to understanding which of your marketing efforts are working to drive traffic to your site. There are several channels included in Google’s acquisition reporting, including:
- Social media: Traffic from Facebook, Twitter, LinkedIn, YouTube, etc.
- Direct: Traffic that comes directly to your site by typing your URL into their browser
- Referrals: Traffic from blogs or other websites that link to you
- Organic search: Traffic from people who find you through organic search queries
- Paid search/display: Traffic from your paid search or display ads
Behavior
Behavioral reports are important in determining what people are doing once they visit your site. This can include what other pages they are navigating to, what they are clicking on, what they are purchasing, bounce rate, exit location and time spent on specific pages.
This is also where Enhanced Ecommerce comes into play. With this added plugin enabled on a site, a larger variety of data and analysis options are available - which opens up a lot of possibility when it comes to understanding and optimizing what your users are doing when they interact with your store.
Conversion
Conversion reports collect all of the data associated with completed events or transactions on a site. You decide what your conversions are - examples can include completed forms, trial sign-ups, email subscriptions or product purchases.
How does Google Analytics process data?
Google Analytics distinguishes between new and returning users using a unique ID assigned via cookie. If a user clears or blocks cookies from the site, Analytics will assign a new unique ID the next time that user visits the site. Something to note - this information cannot track across devices, so Analytics will count each device as a new user.
Looking at sessions - or periods in which the user engaged with the site - an initial site visit will start a clock, which will time out if the user is idle for 30 or more minutes. If there is a hit from this user after that period, a new session will begin.
A pageview hit is tracked when the user first hits the site, and then for each subsequent page they visit after that. Event hits are tracked when the user clicks something on the site that triggers an event (i.e., clicking a play button on a video), while conversion hits are tracked when users click something on the site that completes your conversion events.
What is Enhanced Ecommerce Tracking?
Ecommerce Analytics Tracking, or Enhanced Ecommerce, is a JavaScript plugin that provides an added layer of data collection, aggregation and reporting for Google Analytics accounts. It offers a more in-depth look at how a business is doing from a customer behavior perspective, as well as tracks specific product performance metrics. Enhanced Ecommerce measures how users interact with on-site marketing, product pages and the checkout process, but can also help measure specifics like:
- Clicks on a product link
- Views of product detail pages
- Impressions and clicks of internal promotions
- Adding or removing a product from a shopping cart
- Initiating the checkout process for a product
- Purchases and refunds
- Revenue generated by each product, as well as total revenue
- Total number of products sold, by group or individual/specific
- Rate of conversions
- Total transactions
- Number of unique purchases made
- Average price of products
- Average value of orders
- Number of days and sessions leading to a transaction
How does Google Analytics and Enhanced Ecommerce help merchants?
With all the data Google Analytics and Enhanced Ecommerce collects, merchants are able to customize their goals and performance reporting strategies in a number of important ways by looking at customer buying behavior, customer engagement funnels and individual and overall product performance. Successful analysis - and synthesis of insights - can lead to an overall increase in revenue, engagement, and clicks.
Customer buying behavior
Analyzing customer buying behavior at every stage of the funnel - before, during, and after purchase - is essential to understanding what people spend their money on, what their buying habits are, who your most valuable customers are, who’s most likely to be repeat customers and why, and more.
One benefit of using Enhanced Ecommerce Analytics is being able to understand a customer’s behavior before they buy, a unique opportunity for marketers and merchants. Customer behavior navigating the site, along with demographic data, can provide a picture of the customer before a transaction even begins - allowing you to better understand their motivations and make sure you’re providing them with the best experience possible.
Checkout and shopping behavior reports
Enhanced Ecommerce can efficiently visualize your marketing engagement funnel to determine the best path for turning potential leads into loyal customers.
Both the Checkout and Shopping Behavior Reporting functions show movement of customers through each stage of a process. Shopping Behavior will map out the flow of a customer through a site’s shopping experience, from the first click through final transaction. For the Checkout experience, the data visualization will show the customer’s experience with the checkout process specifically. This allows you to identify and optimize any breakage points that are preventing people from completing purchases - driving up your conversion rate.
Customer Acquisition
Determining the LTV of individual customers can help you identify and target high-value customer segments. Understanding those customers’ behavior and preferences – which ad campaigns and channels they respond to, which products they prefer, what offers or products originally encouraged them to buy the first time and more – can help you determine the right way to both attract more customers like them and keep those same high-value customers engaged.
Customer Engagement
Analyzing customers’ buying patterns and tendencies provides key information that helps you tailor offers and campaigns to them – whether that’s recommending related products they might be interested in, trying to upsell customers who are high spenders or offering discounts to value shoppers. It can also help merchants in the long term by understanding seasonal buying patterns, how likely customers are to make repeat purchases, how long they tend to go between purchases and more.
Customer Retention
In order to combat customer churn, you need all the information you can get at your disposal to encourage your customers to come back and shop with you again - rather than buying from your competitors. Customer behavior analytics will help identify patterns of churn and retention, and create paths of action to draw buyers back before they step away.
Product Performance
No matter what you sell, it’s important to keep track of what products are doing well, as well as what products may need to be updated or removed from your inventory. Analyzing product performance can offer insights into how to price your products more compellingly, offer a wider range or change your marketing campaigns and audiences for specific products based on the changing wants and expectations of your consumers.
Attribution
Understanding the value of each marketing channel and campaign is a critical component of making sure you are focused on channels that drive sales - and attributing sales to those channels and campaigns helps you measure their value so you can make sure you spend your marketing dollars wisely. Having Enhanced Ecommerce enabled allows for much more accurate attribution to specific ad campaigns and unique channels.
How do you start using Enhanced Ecommerce?
For an average website, in order to begin using Enhanced Ecommerce, familiarity with HTML and JavaScript code (or access to an experienced web developer who can help you set up tracking on a site) is essential. Getting started includes adding code to pages, as well as customizing it with specific JavaScript methods that will target the information that’s most important to the particular business. Note that the plugin will only work with Universal Analytics. If the site is still using Classic Analytics, make sure you update to Universal.
You’ll need to add the required JavaScript code to web pages in order for the Enhanced Ecommerce plugin to load - JavaScript is used to collect ecommerce data. Once you do that, turn on Enhanced Ecommerce in Google Analytics settings. Once that’s enabled, additional ecommerce reports will show up alongside your general reports in Google Analytics. However, the process may be a little easier if you use one of the primary ecommerce platforms. See below for instructions:
Plugin data types
Enabling the Enhanced Ecommerce plugin gives you access to a wealth of additional data about your website and customers. Below are several data types:
- Impression data represents information about a product that has been viewed, including product ID, name, collection, brand, category, variant, position, and price
- Product data represents individual products that were viewed and added to a cart, including ID, name, brand, category, variant, price, quantity, coupon code, and position
- Promotion data represents information about a promotion that has been viewed, including ID, name, creative (which campaign it was associated with), and position
- Action data represents information about an ecommerce-related action that has taken place, including ID, affiliation (the store or affiliation where the transaction occurred), revenue, tax, shipping, coupons, step (which step in the checkout process) and additional options (ie. selected payment)
- Product and promotion actions specify how to interpret product and promotion data that you send to Google Analytics, including click (a click on a link for one or more products), detail (product details), add and remove (to shopping cart), checkout, purchase, refund, and promo click (on internal promotion)
Data configuration rules
You can set up data configuration rules prior to data being processed. Once data has been processed, no additional configurations can be made.
- Data filters: Rules that Google Analytics applies during data processing. Set filters to include or exclude particular data, or modify the data during processing. Create measurement objectives and set them beforehand to align your reports with business needs.
- Goals: Measures goal completions, goal value and goal conversion rate to include in reports. Conversions and ecommerce transactions are credited to the last campaign, search or ad that referred the user.
- Data grouping: This can organize data in custom ways other than the standard Google Analytics reports, including channel grouping and content grouping
- Custom dimensions: Define a group of metric data that’s specific to your business and then apply that to your reports. This will be the secondary metric in standard reports and the primary dimension in custom reports or segments.
- Custom metrics: These can be collected for any standard dimension or custom dimension that can’t be measured by any predefined metric in Google Analytics.
I use a different analytics platform - should I still enable Enhanced Ecommerce?
You may not use Google Analytics as your primary reporting source of truth - most businesses have additional data sources they need to include, more complex reporting needs or additional customization requirements than Google Analytics provides. However, even if you’re using another business intelligence platform to connect your data sources (like Glew) you’re likely using Google Analytics as your source of web traffic - so adding to that data with Enhanced Ecommerce is still a good idea.
Doing so will allow you to push all the data we mentioned here into whatever platform you do use for reporting for additional visualization and analysis options (and, if it’s a business intelligence platform like Glew, connect it with multiple other data sources that impact your business, like additional advertising channels, inventory and fulfillment, customer loyalty and support, shipping and subscriptions and more). Want to see more? Start a free trial of Glew.
Summary: Google Analytics and Enhanced Ecommerce
Remember these key takeaways before chapter 3:
- Google Analytics is a free marketing analysis tool that gives businesses an understanding of the traffic coming to their websites and helps them identify opportunities for improvement
- Standard Google Analytics configurations provide reports on real-time website performance, audience, acquisition, behavior and conversions
- Enhanced Ecommerce tracking features are a more in-depth way to analyze additional layers of data about a business’s products and customers, with more customization
- It’s a feature available to any ecommerce merchant using Google Analytics
- Enabling Enhanced Ecommerce may require familiarity with HTML and JavaScript (or access to a developer) depending on your ecommerce platform
- Enhanced Ecommerce can provide greater insight into customer acquisition, buying behavior, retention, product performance and more
Explore the chapters:
- Introduction: Ecommerce Analytics: A Guide to the Most Popular Platforms and Tools
- Chapter 1: Ecommerce Data by Platform
- Chapter 2: Google Analytics and Enhanced Ecommerce Tracking
- Chapter 3: Social Media Advertising and Ecommerce: Facebook Ads vs. Instagram Ads
- Chapter 4: Email Marketing and Email Automation Tools