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Auddia's Discovr Radio MVP Exceeds Expectations, Demonstrating Strong Artist Engagement in AI-Powered Audio Platform

By Editorial Staff

TL;DR

Auddia's Discovr Radio MVP delivers artists 500+ monthly plays and 60% profile clickthrough rates, offering a competitive edge in music promotion through guaranteed radio exposure.

Discovr Radio integrates AI to insert artist tracks into AM/FM streams during ad slots, then measures engagement through plays, profile views, and outbound link clicks.

This platform helps emerging artists connect with mainstream audiences, fostering discovery and supporting creative careers through measurable engagement beyond passive listening.

Listeners using faidr's Discovr Radio clicked artist profiles at triple expected rates, actively exploring music beyond just streaming tracks.

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Auddia's Discovr Radio MVP Exceeds Expectations, Demonstrating Strong Artist Engagement in AI-Powered Audio Platform

Auddia Inc. (NASDAQ: AUUD) has reported initial performance results from the first 30 days of its Discovr Radio MVP offering, with engagement levels significantly exceeding the company's original projections. The AI-first technology company launched Discovr Radio on January 20, 2026, beginning a limited MVP phase designed to measure listener engagement, validate performance metrics, and refine campaign optimization tools.

During the initial 30-day period, a select group of live tracks generated engagement that surpassed expectations across multiple metrics. Averaged across participating artists, the MVP results delivered more than 500 plays per artist per month and more than 20 external link clicks per artist. Among the early adopter group consisting of the first 15 artists on the platform, faidr listeners provided 491 profile views and 319 outbound link clicks, demonstrating active engagement beyond passive listening.

The average clickthrough rate for any Discovr artist's profile reached 60%, exceeding the company's phase 1 goal of approximately 20%. Artist profile views by faidr listeners are currently running at three times original expectations, indicating strong listener interest in discovering new artists through the platform.

Theo Romeo, Chief Marketing Officer of Auddia, stated that these early MVP results validate the company's belief that Discovr Radio can drive meaningful, measurable engagement for artists within a streaming radio environment. Romeo noted that the depth of interaction is particularly encouraging, with listeners exploring artist profiles and clicking through to external destinations at rates that exceeded initial expectations.

Discovr Radio integrates directly into the faidr listening experience, inserting artist tracks into AM/FM streaming feeds during traditional ad slots while preserving a seamless user experience. The MVP phase was structured to test both guaranteed play delivery and downstream engagement actions such as likes, profile visits, and outbound clicks. The platform is monetized by artists paying a subscription to guarantee their music is heard by listeners of mainstream radio stations, with early metrics supporting the value artists and labels expect to receive through their Discovr Radio subscription.

The company plans to continue refining its AI-driven placement capabilities, reporting tools, and artist onboarding processes as it transitions from MVP validation to broader commercial expansion. As faidr's user base grows, Discovr Radio is designed to scale accordingly. Auddia's proprietary AI platform for audio identification and classification aims to reinvent how consumers engage with audio content while providing new promotional opportunities for artists and labels seeking access to mainstream radio audiences.

For more information about the company, visit https://www.auddia.com. Additional details about the company's financial filings and forward-looking statements can be found through the SEC website at https://www.sec.gov or through the company's investor relations resources.

Curated from PRISM Mediawire

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Editorial Staff

Editorial Staff

@editorial-staff

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