Integrate FullContact with Shopify
By giving businesses a more comprehensive view of their customers in this way, FullContact allows them to provide a more personalized, accurate customer service experience without having to dedicate time to enriching customer data by hand.
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.
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FullContact's End Points
Provide FullContact with a customer’s email address, phone number, or Twitter handle to receive enriched customer data about them, including their name, location, demographic data (age, gender, etc.,) and social media accounts. Then, connect this data to your CRM to make your customer service and support more personalized and accurate.
Use a company’s name or domain to retrieve additional data about that organization, including their location, associated social profiles, and an array of other relevant company details. This helps ensure that you always have accurate information about the companies that you are interacting with, which can be useful for improving your future marketing, customer support, and lead scoring efforts.
Evaluate the validity of a contact’s email address and automatically correct the errors in it so that your customer data stays clean and accurate. In addition to correcting data entry errors, FullContact also returns additional data for the email address - including links to the contact’s “Person API” and “Company API” within FullContact - so that you can continue to ensure that all of your contact information remains synchronized, up-to-date, and accurate.
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.