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Enterprise Layer Intelligence
Categories/Sales Enablement/Booko
Booko

Booko

Founded by Arjun Saluja

Fill empty appointment and class slots using dynamic discounts and targeted incentives

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Booko to predict which class and appointment slots will go unfilled and automatically offer targeted discounts to fill them. It connects directly with booking systems like Mindbody and Mariana Tek to study your booking history, instructor trends, and customer demand patterns. When an open spot is at risk of staying empty, Booko shows dynamic pricing, class packs, or credit incentives directly in your regular booking flow. This lets fitness studios, medspas, and salons recover lost booking revenue without discounting full-price reservations.

What Booko does

Connect existing booking accounts via APIAnalyze historical class and appointment attendance dataPredict time slots likely to go unfilledGenerate dynamic discount percentages for off-peak timesSend targeted booking offers to specific customer segmentsAward membership credits and cashback incentivesTrack recovered revenue across multiple studio locationsPredictive modeling for empty appointment and class slotsAutomated dynamic discounts for slow time slotsIntegration with Mindbody and Mariana Tek systemsSupport for memberships, credits, and class pack incentivesDemand pattern detection across seasons and instructorsClear price tags showing original and discounted ratesDirect display of deals within existing booking checkouts

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

Mindbody, Mariana Tek

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Booko, appointment scheduling, dynamic pricing, fitness studio booking, Mindbody integration, class utilization, yield management, revenue recovery, medspa scheduling, discount incentives