By understanding and predicting CLV, PT Asuransi Mobil Sejahtera can make better decisions about how much they should invest in customer acquisition and retention, as well as how they can improve customer satisfaction to increase CLV.
This project creates a user-friendly customer lifetime value (CLV) prediction engine able to take in transaction data and return important CLV predictions with a high degree of accuracy for a merchant's entire customer base and individual customers over a selected period of time in the future.
Magento Klaviyo automated retention workflows
Product analytics dashboard that analyzes the full customer lifecycle — from discovery and conversion to retention and churn prediction — integrating customer analytics, unit economics, growth metrics, and predictive insights using Python, Streamlit, and Plotly.
Spark + Airflow + Streamlit pipeline for e-commerce lifecycle KPIs: activation, second order, funnel, cohorts, at-risk (S3/Glue-ready).
Klaviyo automation engine for scaling eCommerce retention
📧 Automate your Klaviyo email campaigns with this engine, streamlining strategy and execution for consistent, high-performing marketing efforts.
Customer Strategy & Retention Marketing + Growth Analytics Portfolio — lifecycle automation, deep cohort segmentation, ROI-led finance & e-commerce retention across gamified landing pages and multi-channel comms; improving reactivation and repeat behaviour via incentive economics + performance analysis, with an agentic AI workflow reducing effort.
Klaviyo Shopify automation with CRM workflows
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