AUTOMATION ROI
15 Days to 4 Hours: The Keap Automation Case
January 03, 2026
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7 min read
15 Days to 4 Hours: The Keap Case
The Challenge
A business was spending 15 days per month manually processing data exports, transforming data, and importing into their CRM system (Keap).
The Solution
- Automated Data Pipeline: n8n workflows to extract, transform, and load data automatically.
- Python Logic: Custom business rules and data validation implemented in Python nodes.
- Keap API Integration: Direct API integration eliminating manual import processes.
- Error Handling: Comprehensive error logging and alert system.
Results
Process time reduced from 15 days to 4 hours per month - a 98% efficiency improvement. The business saved approximately $8,000/month in labor costs.