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Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using HubSpot

You’ll need a Faraday account to use this template. It’s free to sign up and you can use sample data to start.

HubSpot logoIf you're a Faraday user who also uses HubSpot, integrating Adaptive discounting predictions into your workflow could make your job a bit easier and your promotions more effective. Imagine having a clear idea of how significant a discount you should offer to each customer directly within HubSpot. It could help you tailor your marketing efforts more precisely, ensuring that your best promos reach those who will appreciate them most. No need to guess who deserves what—let the data guide you. Plus, it’ll save you time and might even enhance customer satisfaction with more personalized offers.
  1. Step 1

    Connect your data sources

    Use the link below to connect HubSpot 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 HubSpot

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

    Deploy to HubSpot

    Create a deployment target using the HubSpot connection you created above. Or, get started by simply deploying to CSV.