To help a sales team better prioritize potential customers, lead scoring identifies high-value customers.
To read more about building a lead scoring model from end-to-end, check out this blog.
Connect your model to data sources and destinations. A few of our integrations are below.
Source model input data from Amazon Redshift and write model inference results.
Update Mailchimp subscribers with model inference results.
Update Intercom companies and contacts with model inference results.
Source model input data from Snowflake and write model inference results.
Source model input data from Postgres and write model inference results.
Update Salesforce records with model inference results.