Stripe is a SaaS payment management tool. It is built to be an all-in-one payment solution for any business, whether that business offers an on-demand service, traditional product sales, or subscription-based services. Stripe’s tools are designed to help users with a variety of tasks related to running those businesses, including: issuing refunds, processing orders, and managing different subscriptions.
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.
Bring all your Stripe data to Amazon Redshift
Load your Stripe data to Google BigQuery
ETL all your Stripe data to Snowflake
Move your Stripe 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
Retrieve data from all your customer transactions, which provides basic details about the customer, such as their name, address, and email, in addition to data about the charge itself, such as if it was accepted, disputed, refunded, etc.
View or create data about new and existing customers, which allows you to track recurring charges, subscriptions, and multiple purchases. This can, in turn, help you to monitor a customer’s transaction history throughout their lifecycle with your company.
Retrieve any automatically recorded event that occurs on your account, whether it’s a charge, subscription, failed invoice payment, or anything else of note. This allows you to have current, up-to-date data about what is happening on your account at any given moment.
Monitor an invoice, which is created as part of a recurring payment on Stripe. This returns data on the charged amount, whether the invoice was successful, how many attempts the invoice has made to collect the money, and which subscriptions are linked to that invoice, if applicable.
Collect data on different subscription plans that you have, which includes the cost of the plan, how and when it is billed, and the plan’s trial period. You can then integrate the plan data with your subscription or customer data to get a deeper view of the sales performance of various plans.
Track which clients are subscribed to which plans, as well as when they subscribed, when they canceled, and how many users they are subscribed with. This field also allows you to track charges associated with those subscriptions so that you can monitor the revenue they generate.
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.