)
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.”
HubSpot’s native import limitations include API rate limits, file size restrictions, and processing timeouts that can derail your daily sales data operations when you’re dealing with high volumes.
Here’s how to work around these constraints using optimized processing techniques that keep your sales data flowing smoothly regardless of volume.
Bypass HubSpot import limits using Coefficient
Coefficient provides workarounds that bypass several key constraints through chunked processing and optimized scheduling. While HubSpot has strict throttling and processing limits, HubSpot integration through Coefficient handles these limitations automatically.
How to make it work
Step 1. Configure chunked processing to automatically split large datasets across multiple scheduled exports.
Instead of importing 50,000 records at once, set up multiple smaller daily imports throughout the day. Use Scheduled Exports to process data in batches of 5,000-10,000 records, staying well under HubSpot’s practical limits.
Step 2. Optimize field mapping to reduce processing overhead by importing only necessary fields.
Use Data Mapping to select only the fields you actually need for reporting and analysis. Fewer fields mean faster processing and reduced likelihood of timeout errors during large imports.
Step 3. Implement association efficiency by handling complex relationships within spreadsheets before export.
Use VLOOKUP formulas to resolve associations in your spreadsheet before export: `=VLOOKUP(A2,Contacts!A:B,2,FALSE)`. This reduces HubSpot’s processing load and prevents association-related import failures.
Step 4. Schedule imports during off-peak hours to avoid HubSpot system congestion.
Configure Scheduled Exports for early morning or late evening when HubSpot’s servers have less load. Use time zone awareness to optimize scheduling for your business location.
Step 5. Use UPDATE operations for existing records to reduce processing load.
Configure exports to UPDATE existing HubSpot records instead of creating new ones when possible. This reduces processing overhead and helps stay within rate limits while maintaining data accuracy.
Scale your sales data operations
These optimization techniques ensure your high-volume sales tracking stays within HubSpot’s limits while maintaining data freshness for reporting and analysis. Start optimizing your HubSpot import workflow today.
