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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.

Salesforce Marketing Cloud logoIf 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.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Step 5

    Define your adaptive discounting pipeline and deploy to Salesforce Marketing Cloud

    Finally, deploy your prediction with the link below.
  6. 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.