Faraday is a predictive analytics platform designed to help businesses build and deploy consumer prediction models using their own first-party data combined with Faraday's proprietary consumer data. The platform enables teams to predict outcomes such as likelihood to purchase, churn, lifetime value, and lead conversion without requiring in-house data science resources. Faraday provides tools for audience segmentation, propensity modeling, and personalization, allowing marketers and growth teams to act on predictions across various channels. The platform is built around a no-code or low-code workflow, making predictive AI accessible to non-technical users. It connects to existing data stacks and marketing tools to operationalize predictions directly into campaigns and customer experiences. Faraday positions itself as a solution for companies that want to move beyond demographic targeting toward behavior- and outcome-based audience strategies.
Target audience and deployment
- SMB
- Mid-market
- Enterprise
- Cloud
- API
Key features
Use cases
- Predict customer purchase likelihood
- Reduce customer churn
- Segment audiences for targeted marketing
- Personalize customer experiences
- Score and prioritize leads
- Forecast customer lifetime value
Best for
- Marketing teams who need to target audiences based on predicted behavior rather than demographics
- Growth teams who need to operationalize AI predictions without in-house data science resources
- Analysts who need to build and deploy propensity models using first-party customer data
- Retention managers who need to identify and act on churn risk signals proactively
Integrations
Automation platforms
Zapier
CRM & sales
Salesforce, HubSpot
Developer
Segment
Databases
Snowflake, BigQuery, Redshift
Analytics & BI
Google Analytics
E-commerce
Shopify
Marketing
Facebook Ads, Google Ads, Klaviyo, Braze