Report truncation at 2013 rows indicates your system’s Excel export function has a hard-coded limit slightly above 2000 rows, implemented to prevent export timeouts and memory overflow when generating large files.
Weekly order pattern reports are particularly susceptible because they create wide datasets with customers as rows and weeks as columns. Here’s how to analyze complete weekly patterns.
Analyze complete weekly customer order patterns using Coefficient
Coefficient eliminates this report truncation by accessing your customer order data through direct database connections rather than the limited Salesforce export interface. This provides complete weekly customer order pattern analysis without artificial row restrictions.
How to make it work
Step 1. Connect to customer and order objects directly.
Set up Coefficient to access your Salesforce customer and order data through API connections. This bypasses the export function that creates the 2013-row truncation.
Step 2. Apply custom date filtering for weekly patterns.
Pull specific week ranges for pattern analysis using Coefficient’s date filtering. Use dynamic filters that reference cells so you can adjust time periods without editing import settings.
Step 3. Import complete customer-week datasets.
Handle matrix data that includes all customers and their weekly order patterns. Coefficient manages wide datasets without the truncation issues that affect traditional exports.
Step 4. Schedule automated weekly pattern updates.
Set up weekly refreshes to continuously build pattern intelligence without manual export limitations. Use append functionality to create historical weekly trend analysis.
Build comprehensive customer behavior tracking
This solution transforms your truncated weekly customer order pattern analysis into a comprehensive, automatically-updating customer behavior tracking system that includes your entire customer base. Start tracking complete patterns with unlimited data access.