Decompose what free shipping actually costs by comparing what customers paid against what carriers charged. This playbook finds the value bands where margin covers shipping and where it doesn't, replacing guesswork with a data-driven threshold.
Track how customers move between RFM segments to identify downgrades worth thousands per month. This playbook reveals when customers migrate between segments and when they need a Klaviyo trigger, whether that's a win-back or a nudge up.
This playbook demonstrates how to identify ecommerce products (SKUs) that correlate with higher customer lifetime value using statistical models, and then utilize that data to optimize acquisition campaigns with mathematically justified bid adjustments.
This playbook walks you through building an AI-powered CLV analysis system that reveals which customers drive long-term profitability. The LangGraph pipeline applies statistical models to predict behavior and delivers AI recommendations for optimization.
This playbook walks you through building an AI Flow that dissects ecommerce revenue drivers across a customer base. The LangGraph-based system breaks down top-line metrics into their component parts, identifies root causes, and delivers prioritized recommendations to improve performance
In this playbook, we will launch a personalization agent capable of generating revenue uplifts. The agent helps you map raw customer data to the recommended marketing experiences across email, website, and paid media.
