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Case Study

Predictive Lead Scoring for a SaaS Application

Client Challenge

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.

HiSoftio's Solution

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).

Technology Stack

Python (Scikit-learn), Power BI, HubSpot API, PostgreSQL

Results

43%
Improvement in Sales Conversion Rate
32%
Reduction in Average Lead Response Time
20+
Hours/Week Saved for Sales Team

Key Takeaway

AI-based lead scoring transformed manual processes into a data-driven system that improved focus and conversions.

Client Website:

https://twigs.cc/

You never achieve real success unless you like what you are doing.

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