This article explains how you can track greenback user behaviour within your own Google Analytics (GA) reports.
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Variable name (8 Data Layer Variables) | Data Layer Variable Name | What it captures |
|---|---|---|
greenback.visitorId | preezie.trigger | How the journey was triggered (note, workflow = embedded) |
greenback.sessionId | preezie.workflow | The name of the journey |
greenback.page | preezie.selector | The name of the journey connector (aka a workflow selector) |
greenback.message | preezie.ref | The short version of the question |
greenback.products(array) | preezie.answer | The text of each answer the user gives |
preezie.productid | preezie.product.unique | The unique id of the clicked product in the results (as defined by your product feed attributes in the preezie CMS) |
preezie.position | preezie.product.position | The position the clicked product was ranked in the recommendation results |
preezie.productname | preezie.product.name | The name of the product that was clicked on. Note, you can add/change if you have other product attributes you need as shown in your data layer, e.g. price:   |
Now to join the above to Data Layer events, repeat the above steps 5 times but instead use variable type Custom Event - just ensure the variable names match these below:
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