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Personalization
Adaptive discounting
Offer your best promos to the customers who most deserve it — 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.
As a Faraday user who’s also on TikTok, you might appreciate how Adaptive discounting predictions could elevate your promotional strategies. Imagine being able to tailor your discounts based on how valuable each customer is, making your promos feel more personalized and effective. On TikTok, where trends shift quickly and audience engagement is key, understanding which promotion will resonate with each follower could help you drive better results. It’s about being smart with your offers, ensuring you’re giving the best deals to those who will appreciate and respond to them the most. This thoughtful approach could help you foster loyalty and boost conversions without having to overspend on blanket promotions.
- 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. 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 adaptive discounting 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 adaptive discounting 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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