Automate your UTM campaign tracking: Shopify, n8n to Baserow
Campaign tracking is pivotal; it enables marketers to evaluate the efficacy of various strategies and channels. UTM parameters are particularly essential as they provide granular details about the source, medium, and campaign effectiveness. However, when this data is not automatically integrated into a centralized system, it can become a tedious and error-prone process to manually collate and analyze it.
Retrieving UTM data from Shopify and storing it in Baserow enables oy to do more with this data. For example you could build a campaign database in Baserow and automatically add campaign revenue to it using this workflow template.
This template will help you:
- Automatically retrieve UTM parameters from Shopify orders using the Shopify Admin API
- Process marketing data through n8n
- Store this data into Baserow, providing you with a dynamic, responsive base for campaign tracking and decision-making
This template will demonstrate the follwing concepts in n8n:
- use the Schedule trigger node
- use the GraphQL node to call the Shopify Admin API
- split larger incoming datasets into n8n items with the Split node
- transform the data structure with the Set node
- control flow with the If node
- store data in Baserow with the Baserow node
How to get started?
- Create a custom app in Shopify get the credentials needed to connect n8n to Shopify This is needed for the Shopify Trigger
- Create Shopify Acces Token API credentials n n8n for the Shopify trigger node
- Create Header Auth credentials: Use X-Shopify-Access-Token as the name and the Acces-Token from the Shopify App you created as the value. The Header Auth is neccessary for the GraphQL nodes.
- You will need a running Baserow instance for this. You can also sign up for a free account at https://baserow.io/
Please make sure to read the notes in the template.
For a detailed explanation please check the corresponding video: https://youtu.be/VBeN-3129RM
n8n Workflow: Automate Your UTM Campaign Tracking (Shopify to Baserow)
This n8n workflow is designed to automate the process of tracking UTM campaign data from a source (likely Shopify, given the directory name) and storing it in a Baserow database. It provides a flexible structure to handle incoming data, process it, and then persist it for analysis.
What it does
This workflow provides a foundational structure for data processing, including conditional logic, data manipulation, and integration with a GraphQL API and Baserow.
- Triggers on a Schedule: The workflow is initiated on a predefined schedule, indicating it's designed for periodic data collection or processing.
- Performs a GraphQL Query: It executes a GraphQL query, likely to fetch data from a source system (e.g., Shopify for orders, products, or marketing data).
- Splits Out Data Items: The results from the GraphQL query are then split into individual items, allowing for per-item processing.
- Edits Fields (Set): For each item, it allows for the manipulation and transformation of data fields, such as renaming, adding, or removing properties.
- Applies Conditional Logic (If): It includes an "If" node to introduce conditional branching, allowing different actions based on specific data criteria.
- Handles True/False Branches:
- True Branch: If the condition evaluates to true, the workflow proceeds to a "No Operation" node, which acts as a placeholder or a point where further actions could be added.
- False Branch: If the condition evaluates to false, the workflow proceeds to update or create records in a Baserow database.
Prerequisites/Requirements
- n8n Instance: A running n8n instance (cloud or self-hosted).
- GraphQL Endpoint: Access to a GraphQL API endpoint for data retrieval (e.g., Shopify GraphQL API).
- Baserow Account: A Baserow account with a database and table configured to store your UTM campaign data.
- Baserow API Token: An API token for Baserow to allow n8n to interact with your database.
Setup/Usage
- Import the workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- GraphQL: Set up a new GraphQL credential with the URL of your GraphQL API and any required authentication (e.g., API keys, headers).
- Baserow: Set up a new Baserow credential with your Baserow API token.
- Configure the
Schedule Triggernode: Adjust the schedule to your desired frequency for running the workflow (e.g., daily, hourly). - Configure the
GraphQLnode:- Update the GraphQL query to fetch the specific data you need (e.g., Shopify orders with UTM parameters).
- Ensure the query returns the necessary fields for your tracking.
- Configure the
Edit Fields (Set)node:- Map and transform the incoming data from the GraphQL query to match the structure required by your Baserow table.
- This is where you would extract and format UTM parameters (e.g.,
utm_source,utm_medium,utm_campaign).
- Configure the
Ifnode:- Define the conditions for your branching logic. For example, you might check if certain UTM parameters exist or if a record already exists in Baserow.
- Configure the
Baserownode (False Branch):- Select your Baserow credential.
- Specify the Database ID and Table ID where you want to store the data.
- Map the fields from the
Edit Fields (Set)node to the corresponding columns in your Baserow table. - Choose the operation (e.g., "Create" to add new records, or "Update" if you have a unique identifier to check for existing records).
- Activate the workflow: Once configured, activate the workflow to start automated tracking.
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