)
Written by
Table of Contents
“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
NetSuite customer data sync frequency for real-time business operations is constrained by API limitations and performance factors that standard reporting can’t effectively measure or optimize.
This guide shows you how to determine optimal sync frequencies by testing actual API performance and understanding the technical constraints that affect real-time customer data operations.
Optimize sync frequency with performance testing using Coefficient
NetSuite’s native reporting can’t monitor sync frequency performance or identify optimal refresh intervals for business operations. Coefficient provides hands-on experience with NetSuite’s API constraints that helps determine realistic sync frequency expectations.
How to make it work
Step 1. Test API performance within NetSuite constraints.
Use Coefficient’s NetSuite integration to understand real-world API performance within the 15 simultaneous RESTlet call limit (plus 10 per SuiteCloud Plus license). Import customer records using Records & Lists to test how API constraints affect data retrieval speed and determine realistic sync frequency limits for your customer data volume.
Step 2. Analyze actual customer data change frequency.
Set up automated refreshes using hourly, daily, and weekly scheduling options to monitor how frequently customer records actually change in NetSuite. Use SuiteQL queries to track modification patterns with queries like “SELECT COUNT(*) FROM customer WHERE lastmodifieddate > CURRENT_DATE – 1” to determine whether real-time sync is necessary or if batch processing is sufficient.
Step 3. Monitor authentication and token refresh impact.
Track the 7-day OAuth token refresh requirement that affects all NetSuite integrations. This authentication overhead impacts sync reliability and demonstrates why continuous real-time sync can be challenging. Monitor import completion times to identify when sync frequency exceeds NetSuite’s performance capabilities.
Step 4. Align sync frequency with business operations.
Create timezone-based refresh schedules that align with business operations using Coefficient’s scheduling features. Test different sync frequencies to determine optimal customer data refresh rates, considering that the 100,000 row limit per SuiteQL query affects bulk sync operations and may require batch processing for large customer databases.
Build realistic sync strategies
Determining optimal customer data sync frequency requires hands-on testing of NetSuite’s API performance rather than theoretical planning. With practical performance insights and constraint understanding, you can build sync strategies that actually work for real-time operations. Start testing your sync frequency today.
