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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using Salesforce
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 relies on Salesforce, integrating Thematic personalization predictions could be a great move for you. By having these predictions right in your CRM, you can easily shape your messages and creative content to better connect with each target audience. It can help you understand what resonates with your contacts and leads, making your communications more relevant without a lot of extra effort. This way, your outreach can feel more personalized and effective, all while you continue using the tools you’re already comfortable with. It’s just a simple way to make the most of your data and your CRM.
- Step 1
Connect your data sources
Use the link below to connect Salesforce 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 content personalization pipeline and deploy to Salesforce
Finally, deploy your prediction with the link below. - Step 6
Deploy to Salesforce
Create a deployment target using the Salesforce connection you created above. Or, get started by simply deploying to CSV.
Deploy your thematic personalization 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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Skip the ML struggle and focus on your downstream application. We have built-in sample data so you can get started without sharing yours.