Integrate Shopify with Codat
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.
Codat is an API that allows for seamless, straightforward integrations with accountancy and financial software systems. By simplifying the integration process, it allows users to take their mind off of ETL and shift their focus to improving their business and their core offerings.
Popular Use Cases
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
Bring all your Codat data to Amazon Redshift
Load your Codat data to Google BigQuery
ETL all your Codat data to Snowflake
Move your Codat data to MySQL
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Shopify's End Points
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.
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.
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.
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.
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.
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.
Codat's End Points
Add company entities and organize them by various properties, including contact details, company name, registration number, etc. Then, retrieve this information as necessary or integrate it with other relevant customer platforms.
Use the bills resource to integrate your billing and organize it based on various properties, including ID, status, issue date, and currency. You can also retrieve all bills for a company as necessary to ensure that your information is always accurate and comprehensive.
Keep a record of the reduction in amount owed to a company resource by a customer. This information may also be linked to an invoice in the underlying accounting platform.
Monitor data on any invoice that was sent to a client. This includes both basic details about the invoice and details about the current status of the invoice i.e. if it was sent, paid, disputed, etc. This data can help you get a clearer view of your expected revenue gains and losses, which can help you to run accurate predictive analyses.
Gather data about payments made on the invoices that you have sent to your clients. Use this data to track how much you are making from specific customers or during specific time periods. This will allow you to hone your marketing efforts and score leads more effectively.