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Customer targeting
Churn scoring
Know which customers are ready to churn while there's still time to save them — using TikTok
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 brand active on TikTok and you're worried about losing customers, churn scoring predictions from Faraday could really help you out. They can identify which of your followers or customers are more likely to stop engaging with your content or using your products. By knowing who's at risk, you can focus your efforts on re-engaging these users with targeted content or special offers. In the fast-paced world of TikTok, having this insight might make it easier to maintain your audience and keep your brand growth steady.
- Step 1
Connect your data sources
Use the link below to connect TikTok 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. These links 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 churn scoring pipeline and deploy to TikTok
Finally, deploy your prediction with the link below. - Step 6
Deploy to TikTok
Create a deployment target using the TikTok connection you created above. Or, get started by simply deploying to CSV.
Deploy your churn scoring 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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