Case Study: Habitable Predicts LTV for 40,000 Customers with Pecan AI

Habitable predicts LTV for 40,000 customers with Pecan

Habitable, a B2B analytics company, partnered with Pecan AI to help a large European job platform client. The client's challenge was prioritizing sales efforts across nearly 40,000 accounts without a data-driven method. Habitable itself previously relied on external data scientists, which limited their control, visibility, and ability to maintain consistent quality and timelines for their predictive work.

Using Pecan AI's predictive analytics platform, Habitable built an LTV model from the client's raw data without needing external experts. The solution delivered predictions for 40,000 customers with 85% accuracy, identifying 4,800 high-value accounts to prioritize. This enabled Habitable to gain full ownership of its predictive workflow and deliver tangible results for its client within one month.

Habitable