Integrate Taboola with Shopify
Taboola is a discovery-driven content marketing service for both advertisers and publishers that is designed to offer visitors highly personalized external content while they engage with a publisher’s website. Taboola accomplishes this level of personalization through a predictive analysis engine that looks at a wide range of data points, including demographic data, browsing history, purchase history, etc. Then, it chooses and displays the discovery links that are most likely to engage those visitors, thereby increasing the likelihood of conversion.
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 Taboola data to Amazon Redshift
Load your Taboola data to Google BigQuery
ETL all your Taboola data to Snowflake
Move your Taboola 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 Taboola With Shopify Today
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Taboola's End Points
Manage the details of one or more of your ad campaigns, including the financial details - such as cost-per-click (CPC), spending limit, and daily cap - and preferred targets for the campaign i.e. publishers, countries, platforms, etc. This ensures that your campaigns are personalized for the audience most likely to engage them.
Retrieve performance reports that include advertiser-relevant data - such as CPC, impressions, total clicks, etc. - as well as publisher metrics, like detailed analytics on the revenue that is being generated by a page. This information allows publishers and advertisers to gauge how to best maximize their discovery-based marketing performance.
Request resources that can help set up a campaign on Taboola, including the supported regions and region codes, which platforms are supported, and a dictionary that lists all of the terms that can be used when requesting these resources. Then, use this information to customize a campaign that will provide more effective targeting.
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.