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Personalization
Adaptive discounting
Offer your best promos to the customers who most deserve it — using Snowflake
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 a Faraday user and also work with Snowflake, you'll appreciate how smoothly Adaptive discounting predictions can integrate into your data workflow. Imagine being able to directly tap into the power of Snowflake’s cloud data platform to understand which of your customers should receive your best promotions. By leveraging Faraday's adaptive discounting in Snowflake, you can make data-driven decisions about promotion targeting right from your single source of truth. This integration means less time spent on data wrangling and more time focusing on offering the right deals to the right customers. It's a straightforward way to enhance your promotional strategies with minimal fuss.
- Step 1
Connect your data sources
Use the link below to connect Snowflake 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 adaptive discounting pipeline and deploy to Snowflake
Finally, deploy your prediction with the link below. - Step 6
Deploy to Snowflake
Create a deployment target using the Snowflake connection you created above. Or, get started by simply deploying to CSV.
Deploy your adaptive discounting 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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