AI Marketing Automation

Problem Statement

Marketing teams were wasting budget on generic, untargeted campaigns that resulted in low engagement and poor conversion rates across digital channels. They struggled to manage fragmented customer data across email, social, and advertising platforms, making it impossible to create a cohesive, personalized journey. Campaigns were often one-off blasts rather than part of a strategic, automated lifecycle, leading to customer fatigue and high unsubscribe rates.

Our Solution

We engineered an AI platform that segments audiences based on behavioral triggers and automates multi-channel message delivery (Email, Push, SMS) for maximum impact. The platform uses Apache Spark to process massive amounts of event data from websites and mobile apps, building a 360-degree customer view. It employs machine learning models to predict customer lifetime value (LTV) and churn risk, enabling marketers to prioritize high-value segments. The platform includes a drag-and-drop workflow builder for marketers to create complex, event-triggered customer journeys without writing code.

Key Features

• Behavior-based Audience Segmentation using real-time event data.
• Automated Multi-Channel Campaigning across email, SMS, push, and in-app messages.
• AI-driven A/B Testing & Optimization that automatically selects winning variants.
• Predictive Churn & LTV Modeling for proactive retention campaigns.
• Integrated ROI & Attribution Tracking to measure campaign effectiveness.
• Personalized product recommendations within emails and on-site.
• Journey analytics to visualize and optimize the customer funnel.