Faraday prediction platform
No-code AI for growth, embedded in your stack
How Faraday works
Learn the basics
Security & privacy
We’ve got you covered
Responsible AI
Balance power with fairness
Product documentation
In-depth guides for every use case
Platform features
Everything you need to make your growth stack predictive
Powerful predictions
Propensity, persona, and forecasted spend
Integrations
Connected to 100s of popular tools
Built-in consumer data
Rich profiles of 300 million adults
Developer API
Predict programmatically
All product features→
Roles
Faraday for . . .
Customer acquisition
Data & analytics
Dev & engineering
Engagement & retention
Lead management
Marketing & growth
Popular prediction recipes
By use case
Churn scores
High spenders
Lead scores
Likely buyers
Persona assignments
Repeat purchasers
By destination
Aurora
Azure SQL
BigQuery
Cloud SQL
CSV
Facebook Custom Audiences
GCS
Google Ads
HubSpot
Iterable
Klaviyo
LinkedIn Ads
Lookup API
MySQL
Pinterest Ads
Poplar
Postgres
RDS
Recharge
Redshift
S3
Salesforce
Salesforce Marketing Cloud
Segment
SFTP
Shopify
Snowflake
SQL Server
Stripe
The Trade Desk
TikTok
Explore all prediction recipes→
Learn more
Product documentation
In-depth guides for every use case
Faraday Academy
Become a prediction pro in no time
Customer stories
Learn from the best
Our blog
Case studies, tips & tricks, and more
Talk to sales→

Predictions for developers

Fast, secure automated AI that just works

Predict customer behavior in a few lines of code

@fdy/faraday-js

const configuration = new Configuration({
  headers: { authorization: "Bearer YOUR_API_KEY" },
});
const faraday = new FaradayClient(configuration);
// upload orders, identify customers
await faraday.uploads.createUpload("orders", "orders.csv", file);
const cohort = await faraday.cohorts.createCohort({
  name: "Customers",
  stream_name: "orders",
});
// segmentation for personalization
const personaSet = await faraday.personaSets.createPersonaSet({
  name: "Customers",
  cohort_id: cohort.id,
});
// activation pipeline
const scope = await faraday.scopes.createScope({
  name: "Customers Scores",
  preview: true,
  population: { cohort_ids: [cohort.id] },
  payload: { persona_set_ids: [personaSet.id] },
});

Google Cloud SQL (SQL Server) predictions

Faraday prediction platform

How Faraday works

Security & privacy

Responsible AI

Product documentation

Platform features

Powerful predictions

Integrations

Built-in consumer data

Developer API

Roles

Faraday for . . .

Popular prediction recipes

By use case

By destination

Learn more

Product documentation

Faraday Academy

Customer stories

Our blog

Predictions for developers

Reference documentation

Product documentation

Developer chat

Predict customer behavior in a few lines of code

Google Cloud SQL (SQL Server) predictions

All Google Cloud SQL (SQL Server) recipes

Churn scores in Google Cloud SQL (SQL Server)

High spenders in Google Cloud SQL (SQL Server)

Lead scores in Google Cloud SQL (SQL Server)

Likely buyers in Google Cloud SQL (SQL Server)

Persona assignments in Google Cloud SQL (SQL Server)

Repeat purchasers in Google Cloud SQL (SQL Server)