Spotify launches Reserved to give superfans early ticket access

· Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Media & Entertainment · Depth: Fundamental Awareness, quick

Summary

Spotify has launched "Reserved by Spotify," a new feature providing Premium subscribers aged 18 and older in the U.S. with early access to concert tickets. This system identifies an artist's top fans through streaming activity, reserving two tickets for them before general sales. Role Model is the first artist to use this service, with eligible fans receiving notifications starting June 23. The initiative, currently exclusive to Live Nation concerts and Ticketmaster sales, aims to combat ticket scalping by preventing bots from acquiring tickets for resale. Spotify will not charge fees on these transactions and plans to expand the program to more artists, smaller venues, and international users. The system also verifies user location to ensure proximity to the venue and encourages paid subscriptions and app engagement.

Key takeaway

For AI Product Managers developing loyalty programs, Spotify's "Reserved" model demonstrates how granular user engagement data creates exclusive value. You should explore integrating streaming or usage metrics to identify and reward your most dedicated users with unique benefits, like early access or personalized offers. This approach can boost user retention and encourage premium subscriptions, also addressing pain points like scalping in event-based systems.

Key insights

Spotify's "Reserved" system leverages fan engagement data to offer exclusive early concert ticket access, combating scalping and boosting subscriptions.

Principles

Method

Identify superfans via streaming activity, verify user location, then offer two reserved tickets through a personalized in-app notification for a limited window before public sale.

In practice

Topics

Best for: Product Manager, AI Product Manager, Director of AI/ML, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.