Integrate Zendesk to Shopify

About Zendesk

Zendesk is a CRM platform focused on creating a better, more personalized service experience for your customers by providing targeted support based on their specific needs. Zendesk can also organize valuable customer data - including user information, customer service history, and support tickets - and store that data in one place for you to access at any time.

About Shopify

Shopify is an eCommerce platform that provides tools for both online and physical sales. On Shopify, users can set up an online store with pre-made themes. They can also accept payments from a variety of sources and use the analytics to look at their business’s sales trends. This can help them understand where they need to better focus their sales and marketing efforts.

Popular Use Cases

Bring all your Zendesk data to Amazon Redshift

Load your Zendesk data to Google BigQuery

ETL all your Zendesk data to Snowflake

Move your Zendesk data to MySQL

Bring all your Shopify data to Amazon Redshift

Load your Shopify data to Google BigQuery

ETL all your Shopify data to Snowflake

Move your Shopify data to MySQL

Integrate Zendesk With Shopify Today

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Zendesk's End Points

Users

Store data about all of your users - including customers, support agents, and administrators - and track the interactions that they have using Zendesk. Use this data to address common issues and create a better overall user experience.

Organizations

Sort your customers into organizations either manually or based on their email address. This can help you better understand your customers’ needs and more accurately assign support team members to them.

Tickets

Create support tickets from a range of sources, including email, social media, and other customers support interactions. Use these tickets to track customer usage trends, which will guide your support system moving forward.

Groups

Monitor group composition, group availability, and the kinds of support queries that specific groups are tackling and use that data to increase the efficiency of your support workflow.

Shopify's End Points

Abandoned Checkout

Track checkouts that were added to a customer’s cart but not completed as sales. This field includes data about the customer, the product and the reason for cancellation. It can help determine which products are most commonly abandoned at checkout and why, allowing you to run better predictive analyses about your future products and customers.

Customers

Retrieve basic customer information - such as ID, email, mailing address, and name - as well as data about customer behavior, such as the last order a customer made, their total amount spent or how many orders they have made with your company. You can then use this data to focus your marketing efforts towards specific customers or demographics.

Orders

Retrieve important data about an order request, such as customer contact information, the product ordered or the status of the order itself. Then, use this field to track important sales data like what products are being ordered the most or sales trends based on region or product price.

Products

Create any number of product groupings and view data ranging from the product name and product ID to how much the product weighs, when it was created and how much it costs. Then, use that data to track trends and understand what types of products have been successful and why.

Transactions

Track any exchange of money that occurs on Shopify, including completed sales, refunds and voided orders. This data can also track the actual revenue generated from your orders via their order ID’s, which will provide you with a sales-focused view of how well your business is performing.

Refunds

Capture data from any transaction where the money has been refunded to the customer or any transaction where an item has been returned after being ordered. You can then view details about how much was refunded, what products were returned and whether or not those products have been restocked. This information can ultimately help you understand which products are successful, which are not and why.