Wallapredict scans data points for class booking, attendance, payment activities, and other data points to generate member risk scores, and recommends targeted retention tactics
Walla has announced Wallapredict, an AI-powered tool designed to boost member retention by Boutique Fitness Studios and the franchise through early interventions.
Developed in Amazon Web Services (AWS), this new feature analyzes member behavior and provides a practical strategy before the client drops off.
Starting in beta mode, Wallapredict scans data points such as class booking, attendance frequency, purchase patterns, and payment activity to generate member risk scores, highlighting the root causes of reduced engagement and recommends target retention tactics. Studio operators can act directly on these insights.
“The era of reactions to member losses is over,” said Doug Hecht, CEO and co-founder of Walla. “Wallapredict doesn't just flag members who may leave, it shows why they should do what they should do next. It's like having a holding expert in their back pocket, it's equipped with AI, ensuring the community continues to grow and the business continues to grow.”
According to Walla, the beta program's studio has reported early success, making it easier for clients to outreach and more clarity about retention efforts. One early adopter described the tool as a “game changer,” citing its ability to exchange complex spreadsheets on a per-shall basis and automate messages to at-risk members.
Built on AWS infrastructure, Wallapredict offers secure data processing and scalability designed to support the growth of single location studios and multi-site operations. The launch marks the beginning of a broader AI strategy for the Walla boutique fitness market.
Walla, which manufactures business management software for Boutique Fitness Studios, raised a $8 million Series A round in 2022, bringing a total of $13 million in funding to its past $5 million seed round.
