Selected Template
Increase efficiency of user loyalty campaigns
Generic campaigns in predefined steps of the user journey do not raise the attention of all customers equally. With A/B testing, you can finetune the message, but it does not optimize the whole customer base, leaving individual needs unfulfilled.
With customer lifecycle management as an umbrella solution, you can increase campaign efficiency through campaign uplift modeling and other data analytics and ML solutions.
Benefits of Increase efficiency of user loyalty campaigns through the Aliz Intelligence Platform
Quick start on GCP with a ready-to-use code and project
Ready made data pipelines to transform GA360 events to features
Access and share features from a managed Feature Store
Track models with Managed Experiment Tracking and Model Registry service
Own the model and the data
Deploy model within Platform infrastructure for seamless and trouble-free operation
Insights through cusomer-facing dashboard
IAM: manage roles and permissions on user and domain level, or access with service account
Manage multiple environments (dev, testing, staging, etc.), trace activity and changes
Handle blueprint versions
Automatic PR update on new version (security patch)
Least privilege principle security (list of needed permissions to be able to provision it per blueprint)
Provisioning: infrastructure as a code included
About the solution
What are the benefits of Increase efficiency of user loyalty campaigns?
Increased revenue
Campaign conversions will significantly increase.
Optimized campaigns
Campaign conversions improve by performing A/B tests and optimizations.
Campaign customization
For increased campaign efficiency, add treatment options to your campaign, such as different messages/visuals, discounts, coupons, free shipping etc
What’s under the hood?
Things you don't have to care about!
Customer segmentation
Launch a campaign on any existing segment or create a custom campaign with the segmentation tool.
Initialize campaign uplift
Select your campaign in the uplift modeling solution. The model will learn the underlying patterns and suggest optimal variations for each customer in later initiatives.
Predictions
The model predicts which customers from your initial segment are worth nudging and with which activity.