Padellicious provides padel clubs with a data‑driven loyalty platform that turns player activity into points, tiers, and rewards. The system lets clubs create challenges, send targeted notifications, and automate earn‑and‑cash programs for actions like court bookings, referrals, and reviews, helping increase engagement and revenue. It integrates club data to deliver real‑time insights and personalized incentives that keep players returning.
Funding
Funding not disclosed
Founders
Product
Problem
Padel clubs struggle to retain players and maximize court utilization because they lack a simple way to incentivize frequent bookings, referrals, and other revenue‑generating activities.
Solution
Padellicious provides a data‑driven loyalty platform that converts club activity into points, tiered rewards, and targeted challenges. Clubs can define earn‑and‑cash programs for actions such as court bookings, friend referrals, reviews, and streaks, while the system automatically awards points and updates player tiers. Integrated notifications deliver personalized messages to the right members at the right time, encouraging repeat visits and higher spend. The platform also aggregates club data to deliver usage insights, helping managers fine‑tune reward structures and improve overall revenue.
Target Audience
Primary customers are padel club owners and managers who want to increase member retention, court usage, and ancillary revenue through a structured loyalty program.
Features
- Point engine that assigns configurable points for bookings, referrals, reviews, and weekly streaks
- Tiered loyalty system (Silver, Gold, Diamond) with progressive perks such as advanced booking windows
- Challenge builder for custom, time‑bound player competitions to boost engagement
- Automated, targeted push notifications and email alerts to promote specific actions or rewards
- Dashboard analytics that visualize player activity, tier progression, and revenue impact
- Easy integration with existing club management software to sync booking and member data