Integrate Promoter.io with Shopify
Promoter.io generates a Net Promoter Score (NPS) for companies by sending their customers surveys and using the results to segment them into promoters, passives, and detractors. It can also evaluate written customer feedback - assessing it for positivity and negativity - and allow users to add relevant tags to customer responses. Users can then view an analytics dashboard in Promoter.io to track a company’s NPS over time and monitor the emergence of various response trends.
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 Promoter.io data to Amazon Redshift
Load your Promoter.io data to Google BigQuery
ETL all your Promoter.io data to Snowflake
Move your Promoter.io 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 Promoter.io With Shopify Today
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Promoter.io's End Points
Create or retrieve data about a contact, including their name, contact ID, email, and any attributes that have been assigned to them. Then, use those attributes to filter your NPS analytics so that they show company performance within a more specific set of parameters.
Set up an email campaign on Promoter.io by providing the name of the campaign, the dates it will run, and the contact list the campaign is being sent to. Then, specify whether to survey the entire contact list or only contacts that haven’t been surveyed yet. This will allow you to create specialized campaigns for the new recipients on your lists.
Retrieve customer feedback that Promoter.io has collected, including the contact information for the respondee, the score they chose, any comments they left, and whether those comments are positive or negative.
Create or modify a list of recipients that you wish to survey. You can choose to allow Promoter.io to automatically add contacts as you survey them, or you can integrate Promoter.io with an existing contact list that you wish to survey.
Personalize the email templates used for your survey campaigns by branding them with your logo, writing introductions to the survey questions, or specifying what products or companies the surveys are for.
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.