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Funnel Optimization with Predictive ML for E-commerce Platform
Project Overview
Challenge
An e-commerce platform with millions of monthly users faced major drop-offs between key funnel stages: Product view → Add to cart, Cart → Checkout, and Checkout → Payment completion. The team needed a predictive funnel analytics engine that could identify friction points across user journeys, trigger real-time nudges or offers, and personalize recovery tactics for high-risk users.
Our Solution
We deployed a predictive ML framework built on real-time funnel telemetry.
Drop-Off Detection & Feature Enrichment
Collected user session data across device, time, channel, and interaction depth. Engineered features like time-to-click, bounce probability, previous purchase history, and tagged drop-off points with funnel stage metadata.
Predictive Modeling
Trained classification models using Scikit-learn (Random Forest, Logistic Regression) with predictive output for likelihood of drop-off and reason scores. Segmented users by risk category: low/medium/high churn risk.
Intelligent Nudges & Experiments
Integrated outputs into frontend experience via API, triggered smart nudges including time-sensitive offers, trust badges, and payment help. Ran controlled A/B experiments for each nudge variant.
Dashboard & Feedback Loop
Built funnel heatmaps, uplift metrics, and nudge effectiveness reports. Re-trained models weekly with fresh engagement data for continuous improvement.
Results
+70% YoY Revenue Growth
Achieved significant year-over-year revenue growth from reduced drop-offs across the conversion funnel through predictive intervention.
+23% Conversion Uplift for High-Risk Cohorts
Delivered substantial conversion improvements for users identified as high-risk for drop-off through targeted ML-driven interventions.
3x Increase in Offer Redemptions
Achieved dramatic improvement in offer redemption rates when offers were ML-targeted based on user behavior and risk profiles.
Faster Experimentation Cycles
Enabled faster experimentation cycles across UX and product teams through automated A/B testing and real-time performance monitoring.
What Our Client Says
What used to be a blunt sales funnel is now a living intelligence system — we predict who needs help before they leave.