Integrate Facebook Ads with Shopify
About Facebook Ads
Facebook Ads generates valuable data that can help you better focus your marketing pursuits both on Facebook and in other advertising ventures. It provides you with tools to track your ad performance at all levels, from a single ad to a whole ad campaign and provides insights that can show you exactly how those ads are converting into actual sales.
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 Facebook Ads data to Amazon Redshift
Load your Facebook Ads data to Google BigQuery
ETL all your Facebook Ads data to Snowflake
Move your Facebook Ads 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 Facebook Ads With Shopify Today
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Facebook Ads's End Points
Facebook Ads Campaigns
Track data on your ad campaigns, including the Facebook campaign objective, duration, and status - as well as campaign and account ID's that will allow you to easily integrate this data with related data from other sources.
Facebook Ads Ads
View information about an individual ad, including what ad set it belongs to, the image used in an ad, and how much you are bidding for the ad's use. Then, use that data to track the overall advertising cost of this ad along with its individual performance within an ad set.
Facebook Ads Ad Sets
Monitor the performance of a collection of Facebook ads that share a single criteria and budget. This data includes the budgeted amount, what remains from your Facebook Ads budget, and how that ad set is targeted.
Facebook Ads Insights
See the ways in which your Facebook ads are turning into revenue for your business by tracking cost-per-click, number of conversions, and the type of conversions you are getting. Then you can integrate that data with your ad sets, campaigns, and accounts via their unique ID's.
Shopify's End Points
Shopify Abandoned Checkout
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.