Running an online store means that you must also be able to track and evaluate every sale and event occurring on your website. Releva was born in the data world and although we offer extensive monitoring on our Analytics menu → Dashboard, it is unthinkable not being able to track Releva’s performance in Google Analytics.
Below you will find instruction on how you can accurately monitor user behaviour and sales attribution in Google Analytics (GA4) for Releva, through the Exploration feature.
After opening GA4, the first step would be to open the Explore menu located on the left side of your screen:
The Explore menu will open all of the Exploration options GA4 offers you
Monitoring the Recommenders and Banners #
Once there, click on the square with the + sign to create a new Blank exploration:
The Blank Exploration option will allow you to have full control over all of the options
Upon the new page loading, you’ll be greeted by a blank Exploration. We’d advise you to write a name for the Exploration itself, so it’d be easier to find it amongst your other Explorations:
Write a unique name which will allow you to easily find the Exploration at a later date
When ready, click on the plus (+) sign on the right side of the Segments section:
Once you do so, a side modal will open allowing you to choose from a number of options. For our case, choose Purchasers:
Doing so, you’ll be presented with the below filter pre-populated for you. What you’ll additionally need to do is click on the button “And“ below the filters:
Click on the “Add new condition“ drop-down menu:
When the drop-down menu expands, type the keyword page as shown on the screen below and choose Page path + query string and screen class:
Afterwards, click on the + Add filter button located on the right:
Leave the condition to be contains and at the bottom field type one of the below values based on what you’re trying to track:
- Releva Recommenders – rlv_rid
- Releva Banners – rlv_bid
Once ready, click on the button Apply to save your selection and move to the next step.
Your filters should look like the ones below. If they do, click on the Save and apply button located at the top-right corner:
In the second row, you’ll find a menu called Technique which will allow you to visualise the data differently. We recommend you choose User Explorer as it’ll show you the information in a clear way:
The end result should look similar to this (with different numbers and data of course):
Monitoring Emails #
Monitoring the emails is similar to the ones for Recommenders and Banners with a few twists in the settings of the Exploration. As usual, begin by creating a brand-new Exploration:
The Blank Exploration option will allow you to have full control over all of the options
Once the empty Exploration loads, do enter a unique name for it so it would be easier to find it amongst your other Explorations:
Write a unique name which will allow you to easily find the Exploration at a later date
Once you’ve created a unique name, click on the plus (+) icon on the right side of the Dimensions section:
When the side menu slides over, in the search bar at the top type in the keyword “session“ and from the results below make a selection on “Session campaign“ as it’s shown on the screenshot and click on the Import button located at the top right corner:
Now, you’ll need to select which metrics you’d like to be displayed. In order to do so, click on the plus (+) icon on the right side of the Metrics section. Similar to the Dimensions section, you’ll have a sliding panel where you’d be able to select every metric you want to be shown.
The end result should be similar to the screenshot below, where each of the metrics you have selected are displayed:
Click on the “+ Drop or select dimensions“ in the Rows section and select the only option present which will be “Session campaign“:
Now that all of this preparation is done, all that’s left is to select which of these metrics will be used and visualised in the graph on the side. In the second column, you’ll find a subsection with Values. Here you have two options: You can either drag and drop the Metrics to the Values section or simply click on the button “+ Drop or select metric”. Whichever method you choose to add them, do go an select which of the metrics you will use for the visualisation on the right side.
The end result should look like this:
If you have multiple campaigns you would like to track and have them compared, you can utilise the Filtering functionality to do so. Simply scroll to the very bottom of the second column where you will find the Filters section. Once again, you will have the option to either drag and drop or simply click on the button “+ Drop or select dimension or metric“.
When you click on the button, select “Session campaign“:
Doing so will add additional options in the Filters section which we will make use of now. For “Select match type“ select “contains“ and when you click on “Enter expression”, here you can choose the campaign you would like to filter by.
In addition to this, instead of selecting one from the drop-down menu, you can simply write partially the name of the campaign you are attempting to track. This way, if you are tracking the performance of emails as part of an A/B test, you would be able to see each of the emails separately.
When ready, click on the Apply button:
Sharing your Explorations #
Every Exploration you create will be personal to you and nobody will be able to view them at first. If you’d like to share any of them, you can do so by clicking on the three dots at the right side of the Exploration and choose Share:
Please note, if you choose to Share a particular Exploration, it’ll be share with everyone that have access to this Google Analytics account. The access itself will be read-only mode so they won’t be able to make any changes.
You are all set! Once you complete the above steps you can now monitor the traffic assisted by Releva in the respective Segments.
Feel free to share your feedback or let us know what else you would like to know about Releva at support@releva.ai!
