Shopify Abandoned Checkouts

This default pipeline can be used to request and retrieve details of your Shopify store Abandoned Carts in an incremental manner. A checkout is considered abandoned when a customer leaves the checkout after the first page without completing their purchase. Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Shopify data from the dropdown menu & Click Next

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline: Select Shopify Abandoned Checkouts from the dropdown
Prefix: Enter a prefix that should be used in naming the data set retrieved using this pipeline [prefix_tablename]

Default Parameters

Parameter Description Default Value

Parameter	Description	Default Value
Dimensions	Dimensions fetched from the Shopify platform.	`abandoned_checkout_url, billing_address, buyer_accepts_marketing, cart_token, closed_at, completed_at, created_at, currency, customer, customer_locale, device_id, discount_codes, email, gateway, id, landing_site, line_items, location_id, note, phone, presentment_currency, referring_site, shipping_address, shipping_lines, source_name, subtotal_price, tax_lines, taxes_included, token, total_discounts, total_line_items_price, total_price, total_tax, total_weight, updated_at, user_id`
Fetch Mode	Specifies the manner in which data will fetched from the Shopify API : INCREMENTAL fetches new records after the latest update.	Incremental

Dimensions

Dimensions fetched from the Shopify platform.

abandoned_checkout_url, billing_address, buyer_accepts_marketing, cart_token, closed_at, completed_at, created_at, currency, customer, customer_locale, device_id, discount_codes, email, gateway, id, landing_site, line_items, location_id, note, phone, presentment_currency, referring_site, shipping_address, shipping_lines, source_name, subtotal_price, tax_lines, taxes_included, token, total_discounts, total_line_items_price, total_price, total_tax, total_weight, updated_at, user_id

Fetch Mode

Specifies the manner in which data will fetched from the Shopify API : INCREMENTAL fetches new records after the latest update.

Incremental

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run: If scheduling is not required, you can use the toggle to run the pipeline manually.
Normal Scheduling: Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
Advance Scheduling: Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name: Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
Dataset Description: Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Notifications: Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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