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Shopify Order UTM to Baserow

This workflow automatically calls the Shopify API to retrieve the previous day's orders and customer UTM parameters daily, synchronizing the structured data to the Baserow database. This process not only addresses the cumbersome issue of manually organizing data but also achieves seamless integration of order and marketing data, helping e-commerce operators to analyze advertising effectiveness in depth, optimize marketing strategies, and enhance decision-making efficiency. It is suitable for e-commerce teams, marketing personnel, and data analysts.

Workflow Diagram
Shopify Order UTM to Baserow Workflow diagram

Workflow Name

Shopify Order UTM to Baserow

Key Features and Highlights

This workflow automatically calls Shopify’s GraphQL API daily to retrieve the previous day’s order data along with customers’ UTM parameters (such as campaign, content, medium, source, etc.). The structured order and marketing data are then synchronized and written into a Baserow database. It enables precise tracking of the marketing channel sources for orders, helping merchants gain deeper insights into advertising performance.

Core Problems Addressed

  • Shopify’s native nodes cannot capture the complete customer journey information, especially UTM parameter data.
  • There is a need to automate the organization and archiving of orders along with their corresponding marketing data to avoid tedious manual exports and statistics.
  • Seamless integration of marketing data with order data is required to facilitate subsequent data analysis and report generation.

Use Cases

  • E-commerce operators need to regularly monitor order conversions and revenue generated from various promotional channels.
  • Marketing teams want to analyze the ROI of different advertising campaigns through UTM parameters.
  • Data analysts require integration of Shopify order data with marketing data into a unified database for in-depth analysis.

Main Workflow Steps

  1. Scheduled Trigger: The workflow automatically starts every day at 00:00.
  2. Configure Shopify Subdomain: Set the Shopify store’s subdomain to ensure correct routing of API requests.
  3. Call Shopify GraphQL API: Query orders created the previous day along with customers’ first visit information and UTM parameters.
  4. Split Order Data: Break down bulk order data into individual order items for processing.
  5. Data Transformation: Extract and format fields such as order name, marketing campaign, content, medium, source, term, and order revenue.
  6. Campaign Existence Check: Filter out orders without valid campaigns to avoid writing invalid data.
  7. Write Data to Baserow: Insert the filtered orders and UTM data into the specified Baserow database table for easy management and analysis.
  8. No-Operation Branch: Perform no action on orders without campaigns to prevent errors.

Systems and Services Involved

  • Shopify Admin API (GraphQL): To obtain order and customer journey UTM parameter data.
  • Baserow: A cloud-based spreadsheet database used for storing and managing order and marketing data.
  • n8n Nodes: Multiple nodes collaborate to handle scheduling, data splitting, conditional checks, data transformation, API calls, and other automation tasks.

Target Users and Value

  • Shopify store operators and e-commerce teams who need to automatically collect and organize order marketing data.
  • Marketing personnel seeking data-driven support to optimize advertising strategies.
  • Data analysts who benefit from structured and real-time updated order and UTM data to enhance data insights.
  • Automation enthusiasts and technical operators who can leverage this workflow to quickly build data synchronization and integration solutions.

This workflow significantly simplifies the acquisition and management of Shopify order marketing data, achieving an automated closed loop from data collection to storage. It empowers e-commerce businesses to efficiently gain marketing insights and improve operational decision-making.