Integrate Performance Horizon with Shopify
About Performance Horizon
Performance Horizon is a SaaS marketing solution that facilitates the selective sharing of data between advertisers and publishers, allowing for better overall marketing performance. Since publishers have access to advertisers’ metadata, they can see which campaigns are most effective and work with the advertisers to create the most effective marketing solutions possible.
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 Performance Horizon data to Amazon Redshift
Load your Performance Horizon data to Google BigQuery
ETL all your Performance Horizon data to Snowflake
Move your Performance Horizon 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 Performance Horizon With Shopify Today
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Performance Horizon's End Points
Obtain data on publishers that are connected through Performance Horizon’s marketing network. This data includes the publisher’s name, ID, and website, as well as the region the publisher is located in and what types of promotion they offer. This data will allow you to gauge how well individual regions and methods are performing.
Retrieve data about a connected advertiser, including their contact information, advertiser ID, and payment data (such as the balance associated with that advertiser). This allows partners to see how marketing campaigns translate into conversions for the advertisers. It also allows them to see how much revenue those advertisers are generating for the publishers.
Get any campaign data that advertisers have made available to partners on the network, including campaign name and ID, how conversions are tracked, the conversion type that is tracked, and how publishers are paid for those conversions.
Create a job to handle large data requests on Performance Horizon and receive periodic updates on its progress. These updates include when it is estimated to be completed, what percentage of the job has been completed so far, and what its current status is.
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.