Personalization

Adaptive discounting

Offer your best promos to the customers who most deserve it — using Facebook Custom Audiences

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 leverages Facebook Custom Audiences, Adaptive discounting predictions can be a neat addition to your marketing toolkit. If you've ever wondered about tailoring your promotions to match how much each customer is likely to engage, these predictions can help. They enable you to fine-tune your promos, ensuring that your most valuable potential customers see offers that are just right for them. This can make your ad spend more efficient and may help you build stronger relationships with your audience. It's a straightforward way to get a bit more strategic about your discounts without needing to overhaul your whole approach.

Step 1
Connect your data sources
Use the link below to connect Facebook Custom Audiences to Faraday. You can also skip this step and use CSV files to get started instead.
Facebook Custom Audiences
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.
Transaction
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.
Customers
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.
Forecasted spend
Step 5
Define your adaptive discounting pipeline and deploy to Facebook Custom Audiences
Finally, deploy your prediction with the link below.
Adaptive discounting
Step 6
Deploy to Facebook Custom Audiences
Create a deployment target using the Facebook Custom Audiences connection you created above. Or, get started by simply deploying to CSV.
Facebook Custom Audiences