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Personalization
Adaptive discounting
Offer your best promos to the customers who most deserve it — using Salesforce Marketing Cloud
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 Salesforce Marketing Cloud user and also tapping into Faraday’s predictive capabilities, you might find Adaptive discounting pretty handy. It helps you figure out how valuable each customer is when it comes to promotions, so you can offer the best deals to the ones who really deserve them. This can make your marketing efforts more efficient and personalized. By integrating these insights directly into Salesforce Marketing Cloud, you can seamlessly tailor your campaigns and deliver just the right promo to each customer, without extra hassle. It’s a simple way to fine-tune your strategy and get the most out of your marketing efforts.
- Step 1
Connect your data sources
Use the link below to connect Salesforce Marketing Cloud 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 Marketing Cloud
Finally, deploy your prediction with the link below. - Step 6
Deploy to Salesforce Marketing Cloud
Create a deployment target using the Salesforce Marketing Cloud 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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