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Introduction to Unified User Profiles

Why are unified user profiles so great? Unified user profiles allow teams to treat users as individuals. Having all the data …

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Introduction to Unified Data

Why is unified data so great? Companies strive to unify their data because, by default, most data is inaccessible. It’s often …

Product Foundations

How AI can help us build the future we want

Hila Mehr, a former fellow at the Harvard Ash Center for Democratic Governance and Innovation, spent a year studying the impact AI might have on improving citizen’s access to their governments. In the private sector, the AI startup Cultivate recognized the potential of algorithms to help employers reduce bias in the workplace. We asked them how they think about the potential of AI to drive positive change in our lives, rather than disrupt them.

Blog Post

Subject Lines: not as easy as it looks

A year and a half ago, we tried to answer the age-old question: Why in the heck do people open …

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User retention rate for mobile apps and websites

What’s a good retention rate? There’s no one-size-fits-all answer. Every product is unique and its retention rate is best compared to …

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LTV: How to improve lifetime value

Why lifetime value (LTV) is a critical metric If product and marketing teams can improve LTV, they improve the overall profitability …

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LTV: How to calculate lifetime value

Customer lifetime value, often called CLV or LTV, is defined as the monetary value of a customer to a business, …

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What is user engagement?

Why is user engagement so important? User engagement is highly correlated with overall profitability. User attention is a finite resource and …

Blog Post

Marketing lessons from ServiceNow’s CMO

Dan Rogers has built a data-driven marketing organization at ServiceNow. See how his experience at top tech companies shaped his philosophy.

Product Foundations

Data science: everything you want to know

In the scramble to find data science talent, few take the time to answer the necessary questions to set their teams up for success: Would a data scientist serve our needs best, or do we actually need a statistician or analyst? If we do need a data scientist, what could we reasonably expect them to solve for us? Over the past year, we found answers to these and other questions from experts who cut through the information overload and delivered clear, informed perspectives on the state of data science. Here’s the primer.

Inside Mixpanel

Update on Autotrack data collection

On January 5th, 2018, a customer informed us that they observed Autotrack sending the values of password fields in events. We confirmed that this was unexpected behavior; by design, Autotrack should not send the values of hidden and password form fields. As stated above, our forensics and security experts have not seen any indication that this data was downloaded or accessed by any Mixpanel employee or third party. Upon discovery, we took immediate steps to secure the data and shut down further receipt. As of February 1st, all data that was inadvertently received has been destroyed.

Product Foundations

How user research distinguishes great ideas

Ximena Vengoechea, a Research Manager at Pinterest, has made a career out of the belief that companies who invest in dedicated user experts outperform their peers, and the ones that loop in researchers during the ideation stage do even better. In this exclusive interview, Ximena makes the case for a research strategy that sets up product teams to invest in the projects that will pay off, and saves them from putting time and resources into the ones that don’t.

Inside Mixpanel

Improving user experience & drive engagement

Last year we realized we were building and launching products faster than our interface could handle. To solve the problem, we started from ground zero to rethink our navigation, hierarchy, and overall structure.

Product Foundations

Using unorthodox solutions at Instacart

Given a list of destinations, what is the shortest possible route that a traveling salesman can take to reach all …

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What is cohort analytics?

Cohort analytics creates defined segments, or “cohorts,” of users based on common important characteristics or experiences, so you can identify …

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What is app deep linking?

Why is app deep linking so important? Consumers have plenty of alternatives on mobile. One of the best things companies can …

Product Foundations

LinkedIn’s AI makes small talk for you

LinkedIn Smart Replies is an artificial intelligence product with a clear purpose. You get a message, and it provides three …

Product Foundations

How to succeed in the enterprise

Naba Banerjee, Head of Product at Walmart's Samsclub.com, shares four lessons that helped her carve a path of growth in enterprise product – from consultant to executive.