Thematic personalization

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 Iterable, you might find Thematic personalization predictions especially handy. Imagine being able to fine-tune your messages and creative content to resonate with different segments of your customer base. With these predictions, you can craft communications that genuinely speak to each target audience's preferences, boosting engagement in a natural way. Integrating this into Iterable makes the process smooth and efficient, as you can seamlessly leverage these insights within your existing platform. It's a practical step toward making your marketing efforts a bit more personable and effective.

Step 1
Connect your data sources
Use the link below to connect Iterable to Faraday. You can also skip this step and use CSV files to get started instead.
Iterable
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.
Customer personas
Step 5
Define your content personalization pipeline and deploy to Iterable
Finally, deploy your prediction with the link below.
Content personalization
Step 6
Deploy to Iterable
Create a deployment target using the Iterable connection you created above. Or, get started by simply deploying to CSV.
Iterable