Shopify personalization for hot & promising users

Enhance your Shopify store with intelligent triggers based on the shopping stage and cart abandonment models. Identify and target hot & promising users using Shopify apps.

Google Analytics
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Shopping Stage
Cart Abandonment
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Shopify

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Open Accessible Easy-to-use

Activate the MorphL - Shopify integration

Navigate to Integrations > Shopify and enter your Shopify domain name. This step will install the MorphL - Shopify app. Once the required permissions have been granted, MorphL will be able to associate product recommendations to each user visiting your Shopify store.

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Connect to Google Analytics

Connect your Google Analytics account and grant access to the required permissions. Once the account, property and view have been selected, MorphL will automatically configure the necessary custom dimensions (client ID and session ID) and will begin ingesting the data.

Generate Predictions

Once the shopping stage and cart abandonment models have been activated, MorphL will begin generating predictions (at the user level) which will be available in the dashboard and API.

Different thresholds can be used to define promising (medium shopping cart activity probability and medium cart abandonment) and hot users (high shopping cart activity probability and low cart abandonment).

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Identify & target hot and promising users on Shopify

At this point MorphL predictions are available in the Shopify store and can be used in two ways: (1) to customize the theme using metafields and (2) to segment and target your customers using tags.

For promising users a 10% discount code can be prompted to help them convert, while for hot users related products can be displayed for upselling purposes and increasing the average order value.

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