ML Discounts Project at Slack

Some details about the project I worked on at Slack..

Unlocking Growth through Data-Driven Discounts

As a member of Slack's growth team, I spearheaded the development of ML-Discount - an AI-powered solution to optimize pricing strategies. The goal was simple yet impactful: increase conversion rates by matching users with personalized discount offers.

The project unfolded in three acts:

First, data collection. I systematically A/B tested random discount amounts to gather insights into user behavior and price sensitivity.

Next, model training. Using this data, I built and evaluated various ML models to predict the optimal discount for each user. After rigorous experimentation, I arrived at an algorithm that outperformed random discounts.

Finally, deployment and validation. ML-Discount was released into the wild. Through continued testing, it proved successful in boosting conversions and unlocking new revenue opportunities.

At its core, ML-Discount illuminated how data and AI can be leveraged to understand customers and grow business. The project sharpened my instincts for identifying high-impact data solutions that merge analysis with action. Most importantly, it exemplified my passion for translating numbers into narratives that engage and compel.

Visit Slack: https://slack.com/