The tracking codes used by Google Analytics can get a bit complicated, especially if you’re not a developer. I’ll do by best to explain in this article how it all works.

There are two eCommerce frameworks that you can use in Google Analytics – Standard Ecommerce and Enhanced Ecommerce. This article will discuss the background information along with some examples from Standard Ecommerce. If you are using Enhanced Ecommerce then you can go to the relevant article.

Essentially, if you are using the Google Analytics with Ecommerce turned on, you want to include transaction data with every transaction.

To do this, you will typically generate a post-transaction “thank you” page, which is intended to be seen by all customers as soon as they purchase. The tracking code will be placed on that page.

Ecommerce tracking is executed in three distinct steps.

Firstly, the website’s “server-side” code is responsible for working out the price, the quantity, the tax, shipping etc. (This is often written in PHP, but may be written in another language – it doesn’t really matter). This website code contains instructions that write the Google Analytics tracking code on to the HTML page, or alternatively it might just list all the data values so that it can be dynamically created in Javascript. Irrespective of which language is used to write the website pages, the Google Analytics Ecommerce tracking code will be written in Javascript because that is the language that Google Analytics uses to send data.

Once the thank-you page has loaded, the HTML page will have been rendered with a Google Analytics tracking code. This tracking code will be updated with all the values that the eCommerce server has sent to the page. The code will include a “send” command that will send the data to Google Analytics.

As the page is rendering the Google Analytics tracking code will execute and send the data over to Google Analytics. This is why it is important that the Google Analytics tracking code is placed as high up in the page as possible, in order for it to have the opportunity to finish executing before your website visitor closes their browser window.

Now lets look at how this is done with Google Analytics Standard Ecommerce framework. If you are using the Google Analytics Enhanced Ecommerce framework then skip to the relevant article.

The Google Analytics Standard Ecommerce tracking code is made up of two components, namely the Transaction data and the Item data.

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Transaction Data

The following table shows you the format for the Google Analytics Standard Ecommerce transaction data.

Google Analytics. Retrieved from https://developers.google.com/analytics/devguides/collection/analyticsjs/ecommerce

Here is a bit of a summary:

  • Transaction ID is a required field. This will be a generated ID made up of letters and/or numbers which will uniquely identify the transaction.
  • Affiliation an optional field, and is the name of your store. It is useful to include this if you have more than one eCommerce store sharing the same Google Analytics property, or if you have more than one department, each with its own shopping cart.
  • Revenue is an optional field. It tells you the total amount that your customers are paying for the transaction, irrespective of how many items are being purchased; I.e. it is the final total price. Google Analytics can determine the amount from the total revenue of the products if the revenue is excluded from the transaction.
  • Shipping and Tax are optional fields and may be added if you know these details.

Item Data

The following table shows you the format for the Google Analytics Standard Ecommerce item data.

Google Analytics. Retrieved from https://developers.google.com/analytics/devguides/collection/analyticsjs/ecommerce

Here is my summary about the item data:

  • The ID must match the transaction ID from the transaction (above).
  • Name is a required field that describes the human readable name of the product.
  • SKU is an optional field that uniquely identifies a product, i.e. it is a product code.
  • Category is an optional field that describes which product category this product belongs to.
  • Price is an optional field that lists the unit price for the product. While it is optional, it really should be included.
  • Quantity is a required field that lists how many of this product were purchased in this transaction. While it is optional it ideally should be included.

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Standard Ecommerce is reasonably straightforward, so you end up with a fairly simple piece of code that you can then enter on the transaction thank you page.

Important note: You will see examples of Standard Ecommerce code written for Google Tag Manager, as well as Google Analytics. These are very similar in format, with a few notable differences. Google Tag Manager code is pushed to the Data Layer, whereas Google Analytics code is pushed to Google Analytics directly. We won’t be covering Google Tag Manager in this article series, but Google Tag Manager is my area of expertise so please contact me if you require assistance with Google Tag Manager.

Here is what a completed tracking code would look like:

Step 1: Let Google Analytics know that we will be sending eCommerce data.

Step 2: Add the transaction data.

Step 3: Add the item data.

Step 4: Send it all to Google Analytics so that it turns up in your Google Analytics Ecommerce reports

Google Analytics.Retrieved from https://developers.google.com/analytics/devguides/collection/analyticsjs/ecommerce

Effectively adding tracking data to your thank-you pages will take a bit of getting your head around, especially if you don’t come from a developer background. It is well worth the effort to get it done however, as adding Ecommerce data to your Google Analytics reports will prove to be invaluable for your business.

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Success is in the numbers. But which ones?

Are you responsible for digital marketing? Learn more about how to collect and use the numbers for even better results.

SleepWise Clinic

Petra was instrumental in pulling all our clinic's web analytics into one easy to read, dynamic report that's accessible to me at any time, and works with our EXACT booking system.

This has allowed me to see, at a glance, what marketing initiatives are working, need tweaking, or changing altogether, saving me both time and money. I can't recommend her or her analytic services enough.

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