Case Study
A SaaS marketing firm struggled with low conversion rates due to an unstructured lead qualification process. Their sales team was spending time on unqualified leads, reducing efficiency and ROI.
Our data team built an AI-powered predictive lead scoring system using behavioral data (email opens, click-throughs, and demo requests) and demographic attributes. The model ranked leads based on conversion likelihood, integrating directly into their CRM (HubSpot).
Python (Scikit-learn), Power BI, HubSpot API, PostgreSQL
AI-based lead scoring transformed manual processes into a data-driven system that improved focus and conversions.
Client Website:
https://twigs.cc/
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