Sales teams were spending excessive time manually qualifying leads with no visibility into which prospects were most likely to convert. The absence of behavioral data and predictive signals meant sales reps wasted cycles on low-value outreach.
Sales representatives, sales managers, and revenue operations teams who needed real-time intelligence to prioritize outreach and improve conversion rates.
Designed an AI-powered lead intelligence platform built on Tableau, surfacing predictive lead scores, behavioral signals, and engagement trends. The platform interpreted multiple data sources and presented actionable, ranked recommendations to sales teams.
Product Manager responsible for requirements definition, user research with sales stakeholders, feature prioritization, and working with the data engineering team to define the AI scoring model inputs.
Expanding the platform to include natural language querying — letting sales reps ask questions like 'show me leads most likely to close this quarter' in plain English.