Google Analytics for E-Commerce

Google Analytics for E-Commerce 1

Google Analytics for E-Commerce:

A Step-by-Step Guide

Working with data is not about getting the right reports to analyze, it’s about asking the right questions and then making an informed decision based on the data.

It could be similar to the answer to the “final question about life, the universe and everything”, calculated by “Deep Thought” [in the Hitchhiker Guide to the Galaxy], being 42, but they didn’t know what to do with the answer without knowing what the question was.

Thankfully there are tools to help retailers and marketers answer these questions. Today we’ll go deeper into Google Analytics, the most popular Analytics tool for each.

Google Analytics (GA) gives you the ability to make better, reality-based business decisions for an e-commerce store.

Google Analytics will help you answer questions like:

 Google Analytics for E-Commerce:

How does my audience behave before and after buying the product for the first time?

Why do most visitors to my website bounce back or leave my site without buying a product or service?

How can I increase sales with the help of data provided by Google Analytics?

How long do visitors stay on my website?

How many visitors have already downloaded my guide to Google Analytics?

How many returning visitors have downloaded different eBooks from my site?

Do I have to completely renew my website or just make minor repairs?

Let’s go ahead and get some answers, do we?

Who are my visitors and where do visitors come from?

1. The public

 Google Analytics for E-Commerce:

Google Analytics for Ecommerce: The Ultimate Guide | Audience tab

Audience> Demographics

This report helps you determine the age and gender of people who visit your website. With this, you can also identify individuals who are likely to purchase your product. Allowing you to understand who is the target product.

Suppose you sell clothes. Audience data gives you a breakdown of age and similar categories toward your designs.

For example, if you have 63% of females and 23% of males are visiting your website. Age ranges with the highest number of sessions with a low bounce rate may indicate that the age group is working on your website.

We assume that you have high traffic from a certain demographic group. If there are no conversions, you can make sure that your website targeting is inaccurate.

Audience> Interests

As the name implies, interest is defined by taking into account patterns of consumption of user content, social activity, search history, etc.

There are three sub-categories under Interests:

Interests> Category affinity

It’s higher in the funnel, which means you need to target these visitors (potential customers, if you will) in order to increase your brand awareness.

This category will help you target new users that are relevant to your brand, effectively reduce costs and increase your return on ad spend (ROAS).

Interests> Market Segments

They may or may not have visited your website before but are more likely to convert compared to users in the Affinity Category report. These Market Segments are separated by the type of vertical market to which the average user belongs.

Interests> Other categories

It is, in a way, a grainy report for users who are not included in the above categories. If you sell sportswear, the Interests report tells you about the different interests of the consumer.

About how they are interested in travel / outdoor sports/health and fitness. This data will help you effectively target interest-based ads that are highly relevant to the consumer.

Audience> Geo

Geo or geography shows you where users come from [country, region, city] and what languages ​​they speak.

For example, if 85% of people living in Lyon consume French-language content, this will help you oversee the content of your ads. This will lead to traffic and as a result, improve the relevance of your website.

Audience> Behavior

It has three subcategories:

The behaviour reveals what the user does after landing on your website, ie the actions he takes on your website. This report will give you an idea of ​​how ordinary users interact with your website.

New vs return

This report helps you understand whether you have been able to reach other audiences, any new visitor (acquired by brand awareness campaigns) or managed to get a conversion from a user who has already visited your website, ie the returning visitor (brand recall).

Frequency and modernity

Lets you understand how many times a repeat visitor comes to your website on average.


 Google Analytics for E-Commerce:

Shows you how long visitors stay on your website and how many pages they see in each session. This will give you insight into whether your content needs tweaking, whether your site needs minor repairs, or if it needs to be completely renewed (with the help of conversion rate optimization).

Note: Returning visitors are likely to convert, so do everything you can to keep new visitors by subscribing to a newsletter or filling out a form and returning them back to your website.

Audience> Technology

This report gives you an idea of ​​browsers, operating systems, and Internet Service Providers (ISPs). It is not widely used in e-commerce activities but may have a specific purpose for companies that develop online tools or extensions.

Audience> Mobile

This report shows devices that drive valuable traffic: phones, mobile phones, tabs, or desktop computers.

This will also give you a good idea to make improvements to the website for different devices (page load time, web page formatting, desktop site load on your mobile phone, etc.)

Now that you understand your audience. You know who the target is. What language they speak, where they come from, and which device they use. Making it easier for you to sell your product or services.

The next section will help you understand which channel is converting the most for you and which channel leads new visitors to your website.

2. Acquisition

 Google Analytics for E-Commerce:

Google Analytics for Ecommerce: The Ultimate Guide Acquisition tab

Acquisition> All traffic

All traffic lets you dive deep into the total traffic to your website. The visitor can land on your web page from different marketing channels.

Google has created a hierarchy to track how a user lands on your site and can be broadly classified as follows:

Source: Origin of website traffic. Can be traced via utm_source parameter.

Medium: is the source of traffic. Can be tracked via utm_medium.

Channel: I am a group of different sources within the same medium.

For example, if I want to know how many people have reached the home page by reading this blog, I will create a custom tracking URL and add the relevant fields that I want to track.

The URL will look like this: blog & utm_medium = referral & utm_campaign = google_analytics or (short URL). You can add this URL to track any click, anywhere. You can include it on homepage banners, Google ads, social media referrals, and more.

Default Channel Grouping displays the sources from which users downloaded your site.

There are eight default sources:

1. Directly

Source / Medium → (Direct) / (None).

This is the number of users who typed the URL directly into the search bar and reached your website.

If you have many users coming as direct traffic at a low bounce rate and / or purchasing a service or product, it means you have a good brand recall.

2. Membership

Indicates the number of users who have accessed your website by “searching” on any search engine.

If you have a great deal of referral tracking, it means that you are displayed in the top 3 searches in SERP (search engine results page) and that your SEO game is in point.

Google / Membership, Bing / Membership, Yahoo / Membership.

3. Referral

Any traffic coming to your website via a URL added to any website, blog, forum, social media platform, comments, etc., is just referral traffic.

If you ask your friend to update a status about your website on Facebook, people who visit the website by clicking on the link in the status represent referral traffic. It will be displayed as “facebook/referral”.

4. Paid Search

Users who click on an ad after searching on a search engine contribute to Paid Search traffic. This will show how well your SEM Expert manages the account.

Note: Only limited to search ads.

Google / CPC (cost-per-click), bing / CPC

5. Display

Shows traffic coming from display ads (image or video ads on websites). Image ads are mainly used for brand awareness.

If you have high traffic with a high bounce rate or low average. Session duration, meaning one of these things:

Your ad may be irrelevant

Page does not exist (you may have to redirect to the new URL)

Product may not be available

Your pricing may be higher than your competitors

Note: The latter may apply to all channels with high and low bounce rate. Duration of the session

6. Social

Any traffic that comes through social media channels like Facebook, Twitter, Pinterest, etc. This traffic determines how well your brand controls your competitors.

If not, you’ll need to invest more time in social media activities, strategize on campaigning, and foster content that attracts users.

If at some point you reach a plateau for the organic social traffic you get, it’s time to step up your game and move on to advertising on social media channels like Facebook, Instagram, Twitter, Pinterest, Snapchat, etc. .

facebook / social, facebook / CPC etc.

7. E-mail

Traffic originating from newsletters, updates and promotional emails is contributed to the email marketing channel.

OSX Newsletter / Email

8. Other

The traffic source whose mean is traced either by custom marking parameters, utm_medium, or (not set).

All traffic> Treemaps

This is a hierarchical representation using nested rectangles. Each rectangle represents the secondary metric compared to the primary metric for all marketing channels.

It simply helps you visualize two metrics against each other to gain a comprehensive understanding of how they relate and how they affect each other.

If you see the image below, although paid search brings the third-highest traffic, it represents very low pages/sessions.

Google-Analytics report Treemaps

On the other hand, attribution being a very low contributor to traffic volume leads to higher pages/sessions, in other words, higher engagement. In this case, this report tells me where to pump or cut budgets.

All traffic> Source / Medium

A list of all the different sources with their metrics is displayed to analyze specific marketing channels. The source and method you add can be used while shortening your links here.

All Traffic> Referrals

List all sources of referral traffic coming to your website. If you link to your website on a social media platform or as a comment on different websites, the traffic coming through that link will be referral traffic.

Acquisition> AdWords

For this particular report, make sure that your Google Analytics account is properly linked to your AdWords account. If they are not linked correctly, the data will not be filled or may be skewed.

When you link these two tools, data can flow in both directions and gain insight into your campaign and keyword performance with real revenue.

Get additional AdWords metrics like Bounce Rate,% New Visits, etc. and use Google Analytics remarketing features to reach customers effectively.

Further reading: 4 e-marketing remarketing strategies to improve your ROI

AdWords> Campaigns

Displays a list of your active Google AdWords campaigns.

AdWords> Treemaps

As we saw earlier, it’s a hierarchical representation using nested rectangles.

AdWords> Keywords

It’s a performance report to see which keywords worked for your AdWords campaigns.

AdWords> Search Queries

This is a list of all search queries that should lead visitors to your website through Google Search.

AdWords> Hour of Day

It refers to hourly measurements for today. The hour with the highest number of visits, the hour with the lowest engagement, etc. will tell you.

AdWords> Final URLs

The list of final URLs as specified in your AdWords campaigns.

Acquisition > Search Console

The Search Console report provides data about what the users see on the Search Engine Result Page (SERP) before clicking and coming to your website.

Search Console > Landing Pages

It helps you identify landing pages which have a high click-through rate (CTR) but have a low-quality score (QS), these are the pages that are not shown much often after searching on Google.

Search Console > Countries

Tells you which country/region/city has searched and visited your website.

Search Console > Devices

Search queries made through different kinds of devices, such as mobile, desktop, and tablet.

Search Console > Queries

Search queries that are made by the visitor before entering your website.

Acquisition > Social

Displays which social media marketing channels drive in the maximum traffic, along with the e-commerce conversion and goal metrics.

Social > Network Referrals

It gives you a list of all the social networks that have brought in traffic to your website.

Tip: You can scout for discussion/knowledge sharing platforms, such as Quora, or Reddit, and answer or add value to the questions being asked related to your niche.

This can help you potentially gain more engaging traffic. It may also lead to the purchase of your product or service as the users are referred to your website.

Social > Landing Pages

It’s a list of web pages the user has been directed to by clicking a link to your website on a social media platform.

It is the most important page of the user journey on your website, as it is the first page your user sees when they reach your website via any kind of source.

Make sure the top 5 landing pages have a high engagement capability.

Social > Conversions

Shows the number of conversions that have occurred. These conversions include both Goal conversions as well as e-commerce conversions.

Social > Plug-ins

These show how many times the visitor has clicked any social media buttons on your website.

Social > Users Flow

Shows the origin of the user journey. In other words, this flow graph will display the volume of traffic from different marketing channels, countries etc.

Acquisition > Campaigns

Gives you an idea of how your marketing campaigns are performing.

Campaigns > All Campaigns

Gives a list of all the campaigns, AdWords or custom campaigns.

Campaigns > Paid Keywords

It shows you keyword performance of your google ads, for e.g. which keywords have spent the most amount of money whilst not contributing to the total revenue.

Campaigns > Organic Keywords

These are all the keywords, paid and unpaid, that got the user to the website.

Campaigns > Cost Analysis

Shows the performance of non-Google channels provided you have the data that is ready to be uploaded.

Now that you’ve found out through which marketing channel the website traffic has come from, you will definitely be curious to know how the visitors behave on your website and which products, categories, or how many times a specific webpage has been viewed on your website. 

3. Behaviour

 Google Analytics for E-Commerce:

With this report, you will be able to understand how the visitors interact with your website and for how long does your website keep them engaged.

Behaviour> Behavior Flow

Shows the user journey after landing on a certain webpage of your website. This flowgraph will help understand the average user journey for your website and the percentage of drop-offs occurring.

If there are high drop-offs, you may want to check; if the page exists, product availability, or the product price as compared to your competitors. Basically, this flowgraph gives you an idea of the user experience on your website.

P.S. Drop-offs = bounces + exits

With this, you can find out which webpage has resulted in a higher percentage of drop-offs and perform optimizations accordingly.

Behaviour > Site Content

Gives you sub-reports on all the web pages on your website, like, how many people have viewed the web pages, or, how many people have exited your webpage without interacting (clicking, scrolling, hovering) with it (also known as Bounce Rate).

Site Content > All Pages

This gives you a list of all the web pages on your website with a breakdown of page views, entrances, exits, page value, etc.

Site Content > Content Drilldown

It groups web pages as page path levels. It is the same as the All Pages report, except, it is represented as a file-folder structure (similar to the way it is on a PC).

Site Content > Landing Pages

Shows the entry web pages of your website (visited through searches and/or referrals). There is a good chance that the most active landing page can have a higher number of sessions as compared to the homepage.

If a landing page has a high bounce rate or low average session duration, it means:

  • That the webpage doesn’t meet the expectations of the website visitors
  • It is not engaging enough to retain your visitors for a longer period

Site Content > Exit Pages

Gives you an exhaustive list of pages that have been exited the most. A low exit rate shows that the users are going to other pages of the website. Basically, an exit is attributed to the final page of the website, after which the user exits the website or navigates to another website.

Note: The main difference between bounce rate and exit rate is that bounce rate refers to the first page a user enters and exit rate refers to the last page.

Behaviour > Site Speed

Tells you how much time it takes for each of your web pages to load and compares it with the average page load time. This can have a huge impact on the bounce rate of your website.

Site Speed > Page Timings

It shows the avg. page load time in seconds for all the website pages.

Site Speed > Speed Suggestions

It gives you a fair idea on the number of optimizations to make for that particular webpage. It also provides a page speed score, which, if high, suggests that there is very little scope for improvement and vice versa.

Site Speed > User Timings

This can help you understand what affects the speed of your website.

Note: These timings are user-defined and can be referred to in the developer’s guide to understanding which codes actually slow down your website or you can just enter your website URL on PageSpeed Insights and get detailed reports for optimizations.

Behavior > Site Search

You can enable this option in Admin > View Settings and add a query parameter. The query parameter is a single alphabet that has been assigned by the web development team.

This will give you a list of all the searches performed by the user on your website in order to find a particular product. This can also help in deciding keywords for your search campaigns.

E.g., in this case, the parameter is ‘w’.

Behaviour > Events

Are interactions such as, clicks, video plays, downloads, and clicks, etc. that are tracked independently. It has the following components:


This is a broad category of events under which the events will be grouped. E.g. Videos, E-book Downloads.


This groups all the events under a common action. E.g. Click, Play, Pause.


With these, you can add additional information to the Event. E.g. “Guide to Google Analytics E-book”, where the Category can be “Downloads” and the action can be “Click”.


Assigns a numerical value to the tracked page object. E.g. An event is triggered and displays the value as ‘$1’ after the person has streamed the video for over a minute.

Pro Tip: Instead of going to the developers to embed an event code every time, you should check out the Google Tag Manager and link it to your Google Analytics account.

You can create your own events directly from the GTM tool. Another upside of having a GTM account is that it is way easier to shift to Enhanced E-Commerce[Recommended]

You can check out the Developer’s Guide to implement it for your website.

By now, you know who your visitors are, how did they land on your website, and their behaviour on your website.

Now, this is the part that each one of you has waited for, “How much money has my business earned? Which is the best-selling product on my website? How many times has my product been added to the shopping cart, but not purchased?

4. Conversions

 Google Analytics for E-Commerce:

Conversions > Goals

Goals are probably the most self-explanatory tab on this list.

Goals are the measurement of target objectives. Goals can have a monetary value which shows how much is that conversion worth for your business. Once a goal has been met, it is recorded as a conversion and can be viewed as a metric in various other reports.

E.g. submitting a form, purchasing a product, visiting a particular sequence of web pages etc.

There are five types of goals:

searching - google analytics for e-commerce

1. Destination

A specific webpage that loads. E.g. /thank-you.html. This kind of a goal helps to understand if the user visits a particular web page; it can be a product page, a category page, sale page, add to cart or a thank you page.

Example – If there are 76 page views for the thank you page, it means that there have been 76 purchases made from your website. (As the thank you page is loaded only after a product has been purchased)

2. Duration

Is a specific amount of time a user has spent on a specific page. You can also track the number of visits in a specified amount of time.

3. Pages/Screens per session

A specific number of pages or screens viewed. Similar to the duration goal, you can add a condition to track your pages/screens per session.

4. Event

Records an event when it is triggered. E.g. Clicking on the ‘Play’ button for a video.

5. Smart Goals

Are specifically made for AdWords advertisers for which each session via Google ads is given a score, and the best sessions will be translated into Smart Goals.

Goals > Goal URL

Gives a list of Destination goals that you’ve set with the number of goal completions and goal values.

Goals > Reverse Goal Path

As the name suggests, it gives the reverse order in which the goal was completed.

Goals > Goal Flow and Funnel Visualization

Furthermore, you can funnel these goals with a destination goal (it can be a destination page, ‘/thank-you.html’) and can View them under these reports.

Conversions > E-Commerce

This report gives you a complete idea of the user’s shopping behaviour along with the Marketing report which will be covered right after.

Shopping Behaviour

shopping - google analytics for e-commerce

Shows the journey of the users in terms of the number of sessions. This will give you an overall idea of the purchase behaviour on your website namely:

  • The number of sessions that have originated on the website
  • The number of sessions where a product has been viewed
  • Sessions that resulted in adding product(s) to the cart
  • Number of sessions leading to the checkout page
  • The number of sessions that have resulted in a transaction

No. of sessions → Sessions with product views → Sessions with add to carts → Sessions with Checkouts → Sessions with Transactions

This data can further be broken down into the type of users, devices, etc.

Checkout Behaviour

Check out - Google analytics for e- commerce

It shows how many sessions made by the visitors have resulted in completing their journey from adding the shipping and billing information, payment for the product/service, reviewing the order, and finally completing the purchase.

Billing & Shipping → Payment → Review → Sessions with Transactions.

You can further break down the data using segments or by metrics such as devices, users etc.

The checkout behaviour reports help you understand, how many times a certain product has been added to the cart, bought or how many times has the cart been abandoned. If there are many drop-offs you should look at optimizing your checkout process.

Few reasons for high drop-offs could be:

  1. The checkout process might have too many steps for buying a product on your website (which might be tedious for many users)
  2. The total cost of the purchase might be higher on your website than a competitor’s.
  3. High Shipping costs.

E-Commerce > Product Performance

Shows you the best performing and the highest revenue-generating products with additional metrics such as product revenue, average price, quantity, etc.

Under this report, you can click the shopping behaviour option right below the explorer tab and get a report of all the products’ shopping behaviour. Basically, it is more granular in the sense that you get the shopping behaviour for individual products in this report.

E.g. if you want to check out the cart abandonment rate for a pair of jeans that you’re selling, click on ‘Shopping Behaviour’ (right above the graph, next to ‘Summary’) and search for your product.

This will give you a cart-to-detail rate and buy-to-detail rate. These two metrics help you to identify which products have been added to the cart and how many times has the product been removed or abandoned.

Accordingly, you can “promote” certain products. If many users add a product and not buy it, there is a very high chance that the product is out-of-stock or the price is too high.

E-Commerce > Sales Performance

It displays the list of all the product sales along with the product revenue, tax, and shipping. The list is in terms of Stock Keeping Unit (SKU) IDs.

Product List Performance

This shows the performance of the products and the lists they belong to. They can be products that are “Recommended” (cross-selling and up-selling), or by searching them on the website or by any other means and are added to a custom product list.

Note: The revenue values for these reports may vary, as some have the product price, or the price after adding taxes, shipping and discounts.


Campaigns: Provides a complete e-commerce report of all the campaigns.

Internal Promotion: Initially to track the clicks on banners to promote products on the homepage marketers used event tracking and going through all the pain of checking code placement; Google now provides e-commerce performance data for banner ads on your website homepage with metrics such as clicks, CTR, transactions.

This will give you valuable insights such as the placement of your banners and how certain placements work and do not work for your website.

Order Coupon: It’s a list of all external promotions (discount coupons) such as a signing-up discount, store credit, users that have not returned after their first purchase etc.

This report will help understand which coupon codes work the most, which coupons generate higher revenue, and what offer can be launched next so that you can get the most out of your promotion.

Product Coupon: It’s a list of all the coupons that are applicable to specific products along with its product revenue, number of unique purchases, and average product revenue.

Affiliate Code: A list displaying all the affiliate websites that drive in sales by applying a coupon code.

E.g. If google refers service to users and asks them to use the “Google1M” coupon to avail a free one month pilot for ad services, the “Google1M” is the affiliate code.

Conversions > Multi-Channel Funnels

Multi-Channel Funnels > Assisted Conversions

Gives a list of assisting marketing channels, i.e. second-last marketing channel before making a purchase.

E.g. If the channel path for the conversion is Facebook → Referral (Quora) → Organic → Conversion, the assisted conversion is attributed to Referral (Quora).

Multi-Channel Funnels > Top Conversion Paths

This report gives unique conversion paths, i.e. journey from brand awareness to conversion.

E.g. A couple of unique conversion paths:

Facebook → Referral (Quora) → Organic
Paid Search → Instagram → Direct
Organic → Direct → Email

Multi-Channel Funnels > Time Lag

The report shows how many conversions resulted from conversion paths that were anywhere from 0 – 12+ days.

This report helps you understand, how long, on an average, does it take for a user to come on your website and purchase a product and usually how many touchpoints (marketing channels) does it require before a conversion takes place.

Multi-Channel Funnels > Path Length

Shows the number of interactions a user makes before initiating a session.

Conversions > Attribution

An attribution model is a set of rules which is used to determine how much credit is given to various marketing channels in the user journey.

E.g. If a user finds out about your website via Facebook ads, then after a couple of days, searches for the website on google and comes organically to your website to check out a product; a few days later the same user is shown a google ad and finally, a product is purchased.

facebook/CPC → google/organic → google/CPC

In the default attribution model, i.e., Last-click/Last Interaction will attribute 100% credit to google/CPC for that particular transaction. There are many default attribution models and you can check which one would work for your business under the model comparison tool report.

Attribution >Model Comparison Tool

Through this report, you can compare different attribution models, predefined or custom. This report shows the actual performance of certain neglected marketing channels.

There are seven pre-defined attribution models in Google Analytics:
(Consider the above example to understand the following models)

Last Interaction/Last-click

This is the default attribution model set by Google. In this case, the transaction will be attributed to Google/ CPC.

First Interaction/First-click

This model, as the name suggests, will attribute the transaction to facebook/CPC.

Time Decay

In this, all the channels will get some credit. The channel closest (in terms of time, days) to the transaction will get the highest credit of the ratio.
facebook/CPC, google/organic and Google/CPC will get 20%, 30% and 50% credit respectively.


Every channel gets equal credit for a transaction i.e. 33.33% each.

Last Non-direct Click (Assisted)

This channel attributes the transaction to the second-last marketing channel. In this kind of attribution model, the transaction will be attributed to google/organic.

Last AdWords Clicks

As the name suggests, the Last AdWords Clicks will always be attributed to the AdWords marketing channel. This option is great if the only paid marketing activity that you do is on AdWords.

Position Based

This attribution model gives the highest credits to the first and last interaction channels and distributes the rest amongst the other marketing channels. In this case, facebook/CPC and Google/CPC will both get 40% credit and the remaining 20% is attributed to google/organic.

This is a very important report because it will help you distribute the budgets fairly amongst your marketing channels in order to receive a better ROI.

Note: Facebook, on its analytics platform, uses the first-click attribution, but Google has a last-click model, which will skew the data if both the reports are compared.

This wraps up our post on Google Analytics for E-Commerce. Hope this guide helped you better understand the Google Analytics interface and make sense of the variety of data available on Google Analytics.

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