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Customer targeting
Repeat purchase readiness
Know which customers are ready to buy again — using HubSpot
You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.
If you're using HubSpot to manage your customer relationships, having Faraday's Repeat Purchase Readiness predictions right there can be a game-changer. It helps you to easily identify which of your customers are most likely to make another purchase soon. This way, you can tailor your marketing efforts to reach out to those ready-to-buy customers with personalized messages or offers, enhancing your chances of winning repeat business. It's a simple but smart way to make the most of your HubSpot data, keeping your approach efficient and customer-focused.
- Step 1
Connect your data sources
Use the link below to connect HubSpot to Faraday. You can also skip this step and use CSV files to get started instead. - Step 2
Ingest your data into event streams
This allows Faraday to understand what your data means. This link will guide you through ingesting the data necessary to power this template. - Step 3
Organize your customer data
You'll create groups, called cohorts, that are the essential building blocks of Faraday and allow you to easily predict any customer behavior. - Step 4
Declare your prediction objectives
With your cohorts defined, it's easy to instruct Faraday to predict the necessary behaviors. Follow the docs with the link below. - Step 5
Define your repeat purchase scoring pipeline and deploy to HubSpot
Finally, deploy your prediction with the link below. - Step 6
Deploy to HubSpot
Create a deployment target using the HubSpot connection you created above. Or, get started by simply deploying to CSV.
Deploy your repeat purchase readiness predictions to . . .
Aurora (MySQL)
AWS Aurora Postgres
Azure SQL
BigQuery
Facebook Custom Audiences
GCS
Google Ads
Google Cloud SQL (MySQL)
Google Cloud SQL (Postgres)
Google Cloud SQL (SQL Server)
HubSpot
Iterable
Klaviyo
LinkedIn Ads
MySQL
Pinterest Ads
Poplar
Postgres
RDS (MySQL)
RDS (Postgres)
RDS (SQL Server)
Recharge
Redshift
Redshift Serverless
S3
Salesforce
Salesforce Marketing Cloud
Segment
SFTP
Shopify
Snowflake
SQL Server
Stripe
The Trade Desk
TikTok
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