Root cause a sudden decline in retention among podcast fans using Ads

Problem Statement Description

Product context: Spotify is an audio streaming company; its products include music, podcasts, audiobooks, playlists, recommendations, creator tools, subscriptions, and ads.

Spotify has observed a sudden decline in retention among podcast fans who are exposed to ads. This segment includes listeners who regularly consume podcast content on the ad-supported experience, where advertising may appear before, during, or around podcast playback. Your task is to structure a root-cause investigation into why these users are returning less often or churning at a higher rate than expected.

Focus on how you would frame the anomaly, validate that the decline is real, and narrow down whether the issue is related to user behavior, ad experience, podcast content supply, personalization, platform changes, measurement problems, or external market factors. The investigation should be practical for a Spotify product team working across ads, podcast discovery, creator monetization, and listener retention.

The investigation should consider:

- How to define “retention” for podcast fans, including the time window, denominator, and comparison baseline

- How to segment the decline by geography, platform, subscription state, listener tenure, podcast genre, creator type, and ad exposure level

- Instrumentation checks to confirm whether retention, ad impressions, podcast plays, or user classification are being measured correctly

- Hypotheses around ad load, ad relevance, ad format, frequency, latency, playback interruptions, or changes in ad targeting

- Product or content changes that may have affected podcast discovery, recommendations, notifications, downloads, or episode availability

- External factors such as seasonality, competitor activity, major podcast catalog shifts, or changes in listener habits

- Evidence you would seek to prioritize likely causes and separate correlation from causation

- Short-term mitigations, longer-term prevention, and how you would monitor recovery

The goal is to demonstrate a clear, structured RCA approach that starts with validating the anomaly, then progressively isolates the affected user groups and product surfaces, and ends with actionable next steps for restoring retention without prematurely jumping to a single cause.