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Personalization
Thematic personalization
Shape your creative and message to appeal to each target — using Shopify
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's also using Shopify, Thematic personalization predictions can be a real game-changer for your store. Essentially, these predictions help you figure out what kind of message and creative content will resonate best with each of your target audiences. This means you can tailor your Shopify store's design and marketing messages to better match what your customers are looking for. It's a subtle way to connect more meaningfully with your shoppers, potentially making their experience more engaging and increasing their likelihood to stick around and make a purchase. It's just a smarter, data-informed way to use your resources more effectively.
- Step 1
Connect your data sources
Use the link below to connect Shopify 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 Shopify
Finally, deploy your prediction with the link below. - Step 6
Deploy to Shopify
Create a deployment target using the Shopify 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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