Risk-Aware Product Decisions in A/B Tests with Multiple Metrics
TL;DR We summarize the findings in our recent paper, Schultzberg, Ankargren, and Frånberg (2024), where we explain how Spotify’s decision-making [...]
TL;DR We summarize the findings in our recent paper, Schultzberg, Ankargren, and Frånberg (2024), where we explain how Spotify’s decision-making [...]
Spotify runs paid marketing campaigns across the globe on various digital ad platforms. Being efficient with our marketing budget is critical for maximizing the return on ad spend.
For the past decade, Spotify has used approximate nearest-neighbor search technology to power our personalization, recommendation, and search systems. These [...]
What is “Exclude from your taste profile”? Are you a parent forced to put the Bluey theme song on repeat? [...]
TL;DR: Spotify is releasing a new commercial product for software development teams: a version of our homegrown experimentation platform that [...]
This is part 3 in our series on Fleet Management at Spotify and how we manage our software at scale. [...]
This is part 2 in our series on Fleet Management at Spotify and how we manage our software at scale. [...]
TL;DR Since 2017, Spotify has been working to create a better listening experience for our users by creating algorithmically personalized [...]
TL;DR Sequential tests are the bread and butter for any company conducting online experiments. The literature on sequential testing has [...]
As the field of machine learning (ML) continues to evolve and its impact on society and various aspects of our [...]
TL;DR The core motivation for Spotify’s Client Platform (CliP) team is empowering and unblocking client developers and giving teams the [...]
TL;DR As part of Spotify’s goal to reach net zero emissions by 2030, we’ve made climate action one of our [...]
TL;DR Understanding algorithmic impact is critical to building a platform that serves hundreds of millions of listeners and creators every [...]
Introduction Building platforms is a hard business. Building platforms for discerning machine learning (ML) practitioners with bespoke needs and a [...]
What does it take to go from an idea for a new playlist, to shipping that playlist to Spotify users [...]
Machine learning is what drives personalization on Spotify. We may have a single platform with 381 million different users, but [...]
In Part I of this two-part series, we talked about the challenges we faced with the models we use to [...]
At Spotify, our goal is to connect listeners with creators, and one way we do that is by recommending quality [...]
Team purpose and pride — my team hit those high marks, but it was a long journey to get there [...]
What if, for some users, the very best Spotify is a little less Spotify? Spotify Lite started as an experiment [...]
So you’ve read Part I of our two-part series about the new Experimentation Platform we’ve built at Spotify, and now [...]
Like many of those in tech, we invest heavily in our cloud and data infrastructure. While seemingly routine, the ability [...]
The launch of Shortcuts, which now appears at the top of Spotify Home, is an important step forward in how listeners [...]
At Spotify, we believe strongly in data-informed decision making. Whether we’re considering a big shift in our product strategy or [...]