Jetti - 2026 Pricing, Features, Reviews & Alternatives

Jetti is a revenue and retention reporting software platform designed for owner-operated gyms, fitness studios, and membership-based academies. The platform consolidates member data, attendance records, and billing information from disparate systems into a unified operational view. It addresses the common challenge of booking software, payment processors, and spreadsheets operating in isolation without communication. Jetti delivers enterprise-level insights without requiring manual compilation and analysis of data from multiple sources across the technology stack.

The platform features a comprehensive data integration system that accepts exports from gym management solutions and payment processors, requiring no formatting, column mapping, or data cleanup from operators. A deterministic scoring algorithm identifies members at risk by analyzing behavioral patterns such as attendance decline, payment failures, and engagement shifts. Each flagged member is accompanied by a plain-English explanation of the specific triggers. The system distinguishes raw revenue from actual monthly recurring revenue by accounting for refunds, prepaid memberships, and promotional adjustments. Performance segmentation and cohort retention analysis over time provide granular visibility into membership trends. A monthly rundown prioritizes action items by potential impact, ranks members in need of attention, and supplies draft communications ready for deployment.

Projection and goal-setting capabilities enable forward planning, and ongoing consultation is available through access to an analyst. A business assessment feature delivers a comprehensive evaluation and actionable plan before any commitment is required. Collaborative review sessions ensure operators understand the reasoning behind each recommendation, and a running tally tracks implemented actions alongside their measurable impact on key metrics.

Jetti operates as a layer atop existing gym management software without replacing core operational tools for scheduling, check-ins, and billing. A privacy-first architecture ensures all scoring is computed through deterministic mathematical models without AI inference, producing consistent results from identical data inputs. When AI is employed to interpret insights into plain language, member names are stripped and replaced with anonymized codes. Customer data remains isolated within individual accounts, is never shared with other businesses, is never sold, and is never used for AI training. A desktop application provides access to supporting resources such as a membership metrics handbook, retention benchmarks with cited industry data, and calculation tools for churn and pricing analysis.