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What is LUV? How Mixpanel used Mixpanel to define the behaviors that drive customer love

Even in pre-COVID-19 times, it’s been held as dogma that loyal users are the core of any SaaS business. But beyond just being active, a product is made great by users who find enough value to form a habit around their usage of it. For loyal users of Mixpanel, for instance, performing on-the-fly product analysis is about as routine as a morning...

Metrics that matter to Primephonic: the KPI that drives product roadmap prioritization

To build a business model that can help your startup make waves in a crowded marketplace, consider Henrique Boregio’s approach: stop chasing “feature parity” and focus on creating something truly unique. As CTO at Primephonic, the Amsterdam-based music streaming service sometimes called “the Spotify of classical music,” Henrique Boregio has channeled...

The difference between product analytics and marketing analytics—and why you need both

This post is written by Semetis, a data-driven marketing agency located in Brussels, Belgium. Semetis works with different types of businesses, from start- and scale-ups to blue-chip clients, to help them grow and accelerate the digital side of their business. Here’s what you’ll learn:  To be successful, organizations need more data....

On skepticism and storytelling: How PMs can become more data-informed

For today’s post, we spoke with Rohit Gossain, who has held multiple product management and data science roles over the last decade with technology companies such as Shutterfly, OpenTable, Adobe, and Expedia Group.  Here’s what you’ll learn:  How to become more comfortable with analyzing data How to be sure that what you’re doing is actually...

The state of product analytics in 2020, and how to move forward

Sophisticated product teams that are able to merge business needs, user feedback and business objectives—all while proving ROI— are a rare find.  To learn more about how these teams work, we surveyed over 450 product managers, leaders, and UX designers from across the world to build our State of Product Analytics report in partnership with Product...

Q&A with Neil Rahilly, VP Product and Design, on product strategy, team composition, and customer feedback

As Mixpanel’s VP of Product and Design, and our former Head of Engineering, Neil Rahilly brings a blend of strategy, hiring, management, and career advice to those who want to push innovation at their companies forward. Distilling knowledge from multiple disciplines, this AMA session from Rahilly helps turn amorphous concepts in product management into...

Introducing the Mixpanel Modeling Layer: data superpowers for product teams

It’s easier than ever to collect billions of data points, but sheer volume doesn’t imply insight. Enter data modeling: the science of writing data in a way that efficiently yields insightful answers. Practically speaking, there is no perfect data model. To keep up with rapid growth, the most innovative product companies evolve their data model to answer...

Leading product teams as you grow

Leading a product team in a startup—where it’s basically you, or maybe you and one other person—is far different from leading a large product management team for a well-established company. Neil Rahilly, Mixpanel’s VP of Product and Design, walks us through how product management leadership priorities change as you move from startup through scale up...

Using quantitative and qualitative data to become a successful decision maker

When presented with dozens of options to serve the needs of users and stakeholders, product managers are uniquely empowered to make decisions. And as data scientist Cassie Kozyrkov puts it, “a ‘decision-maker’ is not that stakeholder or investor who swoops in to veto the machinations of the project team, but rather the person who is responsible...

Metrics that matter to AdStage: The framework to measure product success in ad tech

Ad networks like Google and Facebook are just as byzantine as they are powerful. And paid marketers are often at the front lines of making sense of this convoluted environment, expected to manage performance across dozens of ad networks, each of which have their own reporting standards, nomenclature, preferred ad formats, bidding strategies, and real-time...

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