The model is instantiated, with the settings and imp objects.It configures settings for segmentation and tracking.The following (Jython) script works as following: Here is an example of full tracking process, using the easy image found in the first tutorial. Then we read the results in the Model object. So getting a working script is all about configuring a proper Settings object and calling exec* methods on a TrackMate object. It reads configuration information in the Settings object mentioned above and put the resulting data in the model. In scripts, we use it to actually perform the analysis taskscan help you follow manual modifications you would made in the manual editing mode, interrogate it, … but it is conceptually just a data recipient. Model ( ) is the class in charge of storing the data.There is 3 main classes to interact with in a script: I have tried to come up with a rational design though not always successfully. Since we are calling the internals of TrackMate, we must get to know a bit of its guts. The examples proposed on this page all use Jython, but can be adapted to anything. The most simple way to get started is to use the Script Editor, which takes care of the difficult & boring part for you (such as path). Shopify.TrackMate can also be used without the GUI, using a scripting language that allows making calls to Java. More details here.įor example, you can use the following format for your scripts on the order status page: (window, document,'script', ⚠️ After you add a post-purchase page script and verify that it's working properly, you also need to adjust your Order status page script to ignore events that are already captured by the post-purchase page script. Running the script within a sandbox ensures that the script is secure and is used for its intended purpose. The script runs within a sandbox and isn't included on the main page, meaning you aren't able to add code to this field to customize your post-purchase offer page(s). □The only HTML tag allowed in this field is. In addition to the initial checkout conversion, this field and your script can also track post-purchase offer conversion(s). To track the initial order conversion when the post-purchase upsell 1 page loads, to guard against buyer drop-off from Shopify Checkout to Order Confirmation page. This new field was added for the following purposes: To ensure you're capturing conversions properly for all orders, even for those that don't reach the Shopify "Order Confirmation" page, the new Post-purchase page additional scripts field has been added at the Settings > Checkout > Post-purchase page > Additional scripts section in your Shopify admin: For the native Shopify Google Analytics integration a " Completed Order" event fires for the initial purchase when the customer lands on the first post-purchase page.įor any other tracking service that utilizes the Order Confirmation page and a tracking script (like Google Adwords), the conversion event would instead normally fire when the Shopify "Order Confirmation" page is landed on and not on the first post-purchase upsell page. □For natively integrated tracking like the Shopify Facebook Pixel integration, the " Purchase" conversion event fires when the first post-purchase page loads, to report data about the initial purchase to Facebook. If a customer leaves your store on the post-purchase page, then no events on the order status page are tracked. If you require further assistance, you can post in the Shopify Community or hire a Shopify Expert.Ĭonversion tracking scripts placed in the Settings > Checkout > Additional scripts > Order status page field in your Shopify admin rely on the Shopify "Order Confirmation" page to be visited for the customer's order, so they can be fired and track the initial order conversion. □Zipify Support can’t help with modifying or editing post-purchase page scripts. It's highly recommended to use the Shopify article for full technical details about this new field and how to implement conversion tracking properly. Shopify's official help documentation on this new field can be found here. Example: Facebook Pixel for post-purchase offer tracking
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