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Personalization
Adaptive discounting
Offer your best promos to the customers who most deserve it — using Salesforce
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 who also uses Salesforce, integrating Adaptive Discounting predictions can make your life so much easier. Imagine seamlessly knowing how significant of a promotion each of your customers is worth, right within the Salesforce platform you already rely on. This means you can offer your best deals to the customers who truly deserve them, optimizing both your promotions and resources. It's a straightforward way to ensure your marketing efforts are hitting the right notes without needing to shuffle between different tools and platforms. It's just one more way to make your data work smarter, not harder, for you.
- Step 1
Connect your data sources
Use the link below to connect Salesforce 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 Salesforce
Finally, deploy your prediction with the link below. - Step 6
Deploy to Salesforce
Create a deployment target using the Salesforce 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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