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“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.”
Your Python lead scoring model is generating accurate predictions, but getting those scores back into HubSpot Professional requires building complex API integrations. Rate limits, error handling, and retry logic can take 10-20 hours to implement properly.
Here’s how to push your Python scoring results directly to HubSpot custom properties without writing API code.
Automate score updates to HubSpot custom properties using Coefficient
Coefficient handles all the API complexity, rate limiting, and error management automatically. Instead of building custom integrations, you can push thousands of lead scores to HubSpot in minutes with built-in batch processing and retry logic.
How to make it work
Step 1. Import your Python scoring results.
Generate a CSV from your Python model with contact IDs or emails and their calculated lead scores. Upload this file to Google Sheets or Excel, or connect it via Google Drive if your Python script outputs directly to cloud storage.
Step 2. Set up the HubSpot export configuration.
In Coefficient’s sidebar, select “Export to HubSpot” and choose the UPDATE action for existing contacts. Map your score column to your target HubSpot custom property (like “custom_lead_score”) and map your contact identifier column to email or HubSpot record ID.
Step 3. Add conditional logic for smart updates.
Create a formula to only update scores when they change significantly:. This prevents unnecessary API calls and focuses updates on meaningful score changes that impact sales prioritization.
Step 4. Schedule automatic score updates.
Configure exports to run hourly or daily, automatically pushing updated scores as your Python model generates new results. Coefficient manages batch processing efficiently, updating thousands of records without hitting HubSpot’s 100 requests per 10 seconds limit.
Step 5. Monitor and validate score updates.
Use Coefficient’s export logs to track successful updates and any errors. Set up Slack or email alerts to notify you when exports complete or if any issues occur during the update process.
Streamline your lead scoring workflow
Stop building complex API integrations to push Python scores to HubSpot. Coefficient automates the entire process with zero maintenance required, handling API changes and rate limits automatically. Start your free trial and connect your Python models to HubSpot today.
