Compare Customer Order Trends Across Multiple Years
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Automate the comparison of customer order data across different years to identify trends and changes in purchasing behavior. This workflow provides insights into how your customers' order volumes evolve over time.
About This Workflow
This n8n workflow is designed to provide a clear view of how customer ordering patterns change year over year. It starts by querying your MySQL database to fetch order data for specific fiscal periods (e.g., 2003-2004 and 2004-2005). It then leverages the Compare Datasets node to intelligently merge and analyze this data, using customerNumber and year as key identifiers. The workflow highlights differences, commonalities, and changes in order counts between the specified periods, enabling businesses to understand customer lifecycle and identify shifts in engagement.
Key Features
- Automated Data Retrieval: Connects directly to your MySQL database to pull relevant order information.
- Year-over-Year Comparison: Precisely compares customer order metrics across distinct timeframes.
- Granular Analysis: Merges datasets based on customer ID and year for detailed insights.
- Trend Identification: Facilitates the understanding of changes in customer order frequency and value.
How To Use
- Trigger Workflow: Click the "Execute Workflow" button to initiate the data comparison.
- Configure First MySQL Node (Orders from 2003 and 2004): Ensure the
db4free MySQLcredentials are correctly set and the SQL query accurately selectscustomerNumber, calculates totalamountasTotal, counts orders asordercount, and extracts theyearfrompaymentDatefor the specified years. - Configure Second MySQL Node (Orders from 2004 and 2005): Similarly, set the credentials and adjust the SQL query to fetch order data for the subsequent year range.
- Configure Set Node (Change ordercount): This node is used to ensure the
ordercountfield is standardized for comparison. Verify theordercountfield is set to1. - Configure Compare Datasets Node: Set
multipleMatchestoall. Define the fields to merge by, ensuringcustomerNumberandyearfrom both datasets are matched.
Apps Used
Workflow JSON
{
"id": "4f890e49-4e90-44ef-be8d-6a0b18086ec5",
"name": "Compare Customer Order Trends Across Multiple Years",
"nodes": 18,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 4f890e49-4e90...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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