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This article explains how you can track preezie user behaviour within your own Google Analytics (GA) reports.

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🚀 4 easy steps

1. Contact your Customer Success representative to turn on your ‘data layer’ preezie events

2. Create custom variables to pass what you see in the data layer into Google Tag Manager (GTM)

3. Create custom tags in GTM to pass the data to GA

4. Create the custom variables in your GA4 to use them in your reports

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• Depending on what action you performed you will see preezie events fired (full details) for:

  • preezie.load - fired everytime preezie widget is loaded

  • preezie.click - fired everytime someone answers a question

  • preezie.completed - fired everytime someone completes a preezie journey

  • preezie.results - fired when the first page of product results is shown

  • preezie.resultclick - fired everytime someone clicks on a product result

  • preezie.email - fired if someone submits their email address into the lead capture form

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🖇️ Step 2: Pass preezie data into Google Tag Manager (GTM)

2a. Create the GTM

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Data Layer Variables

This will allow any GTM tags to use the preezie data variables (as GA4 parameters) in various ways.

First go to your GTM account:

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• Repeat these 4 steps to create the other data layer variables needed:

Variable name (Data Layer Variable)	Data Layer Variable Name	What it captures
preezie.journey	preezie.workflow	The name of the journey
preezie.connector	preezie.selector	The name of the journey connector (aka a workflow selector)
preezie.questionref	preezie.ref	The short version of the question
preezie.answer	preezie.answer	The text of each answer the user gives
preezie.productid	preezie.product.unique	The unique id of your product in results (as defined by your product feed attributes in the preezie CMS)
preezie.

resultsThe products that were recommended on page 1

position	preezie.product.position	The position the product was ranked in the recommendation results
preezie.

productclick

productname

preezie.product.name

The name of the product that was shown or clicked on. Note, you can add/change

to

if you have other product attributes you need as shown in your data layer, e.g. price: Image Modified

• Now to join the above to Data Layer events, repeat this the above steps but instead use variable type Custom Event - just ensure the variable names match these below:

You now have your new variables, they should look like this:

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2b. Create the GTM triggers for you tags

In your GTM account, create these triggers before you create your tags:

preezie ‘load’ event

• Triggers > New

• Name: preezie.load

• Trigger Type: Custom Event

• Event name: preezie.load

• Save

Now repeat these steps for the other Triggers:

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🥽 Step 3: Create GA4 tags

Now you need to create tags to tell GA what event data is available. Each event fired contains parameters, you can choose which parameters you’d like to send to GA4 (full details).

3a. Tag set up

• In GTM > Tags > New

• Create and publish these tags with the below values:

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These events now need to be configured in GA4.

3b. Mapping your Custom events into GA4

Each GTM event will automatically fire into GA4 however you now need to set up the additional ‘values’ sent with each event. This means you’ll be also able to see things like answer text.

• In GA4 > Settings > Custom definitions

• Create custom dimension

• Add these values for these events:

Dimension name	Scope	Description	Event parameter *note, must match your GTM parameter names!
preezie_trigger	Event	How the preezie widget was triggered	journey_trigger
preezie_journey	Event	Which journey was loaded and clicked on	journey_name
preezie_answer	Event	The text of each answer the user gives	journey_answer

preezie_result

product_id	Event	The unique ID of the product as defined in your Admin > Database > Product attributes > Unique Image Added
product_name	Event	The

products that were seen and

name of the product shown or clicked
product_

name

position

Event

The rank position of the product in the preezie results

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• Engagement with preezie i.e. how many clicked on preezie when it was loaded?

• Which triggers are most engaging?

• Journey click through performance by preezie.journey name

• Trigger method (embedded workflow/embedded selector/cta/popup) i.e. how they saw that journey

• Which answers are the most popular for new users?

Definition guide

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preezie.load = any time the widget is loaded, this is like a page view and can happen multiple times on the same page if you have different triggers, e.g. embedded + CTA

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preezie.click = any click to the NEXT button on a question, i.e. they answered that question

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preezie.completed = clicking on GET RESULTS, i.e. they completed the last question and now see product results

<trigger method> =

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workflow_ OR selector_ i.e. it was embedded on the page

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cta_ i.e. triggered via a cta fixed to the side of the page or a custom link within your content

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exitintent_ i.e. appeared as an exit intent pop up

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A full event definition guide can be found here: Using the Data Layer with preezie

What’s next?

\uD83D\uDCCB Related articles

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• In GTM > Tags > New

• Create and Publish the below tags with these values:

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• How do preezie users convert over time? Is it same session or after several?

• Does preezie help new users stay on site and/or return to convert?

• etc.

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