SaaS Case Study
Pinnacle Technologies
A lead scoring system that helped agents prioritize their highest-probability leads.
+33%Feature Adoption
The Challenge
Where things stood before
Before working with us, Pinnacle Technologies was dealing with a product experience that couldn't personalize or scale the way the market expected, and it was starting to cost them real business.
It was the kind of issue that showed up in day-to-day frustration long before it showed up in a report.
The Solution
What we built
Our approach focused on the root cause rather than the most visible symptom.
From there, a lead scoring system that helped agents prioritize their highest-probability leads, built specifically around what Pinnacle Technologies needed.
- Built using Python and scikit-learn for a stable, maintainable foundation
- Validated thoroughly before deployment to avoid production surprises
- Delivered within a 8-week timeline without cutting scope
- Structured so Pinnacle Technologies's own team could monitor and maintain it going forward
Results
The impact, by the numbers
+33%
Feature Adoption
92.6%
Model Accuracy
-47%
Support Tickets
91.9%
Uptime
Tech Stack
Built with
Pythonscikit-learnSQLGIS APIs
Quillstream Medical Group
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