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Funnel analysis: How to find and fix conversion problems

Whether you’re trying to measure how effectively you’re acquiring users or trying to make sense of in-product user journeys, funnel analysis is a cornerstone of understanding campaign performance and product health. But before we get ahead of ourselves, let’s take a look at what funnel analysis even is and how Mixpanel can help you make the most of...

Identifying Growth KPIs that are leading indicators of product success

Imagine you run a lemonade stand. You meticulously track how many people purchase from your stand each week, because that’s how you make money. For the first two months, the number increased without fail. Then, as if you took a false step on your hike to profit, it started tumbling down the hill. What happened? And how did you not see it coming?...

Dark Mode in Mixpanel is here

For years, we at Mixpanel have gone all in on making light work of product analytics. Today, that ends. That’s because we’re happy to announce our new Dark Mode display theme is arriving in your dashboards, reports, and everywhere else you do your tooling inside of Mixpanel. Let’s take a look at how it works (and looks). How to enable...

Elad Gil on getting your metrics (and your story) straight to succeed in SaaS

Elad Gil spends a lot of time thinking about what makes SaaS companies work well. We sat down with the angel investor, startup founder, and business author to get his valuable thoughts on what it takes to hit the road to SaaS success in today’s changing world, including how to land on the best company metrics to watch at various growth stages and how...

How to build more complete and more accurate user profiles, faster

Your cloud data warehouse may secretly be your second most important product analytics tool after Mixpanel. It’s essentially a huge repository for clean, accurate, and actionable user data. The problem is getting that user data out and into Mixpanel so it can be put to use. This can be a big issue for many businesses: If your user profiles don’t...

Upsides to unshipping: The art of removing features and products

Teams are praised whenever they release a new feature (or product) to their customers. Imagine the internal ‘pat on the backs’ and recognition that occurred when Gmail fully launched dark mode for the mobile app, Figma released multi-account to switch between personal and work design spaces, or Apple announced their M1 chip. Employees on these teams...

Gokul Rajaram on why he doesn’t celebrate feature launches, and more

Gokul Rajaram has spent the last few decades leading product teams at world-class companies like Google, Facebook, and Square.  We sat down with Gokul, now on the executive team at DoorDash, for a frank discussion on building remarkable products, including:  The traits that the most successful product teams share Why your feature launches...

Less, but better: how focusing on UX helped us triple NPS in 18 months

Sometimes, the simplest path is the best path forward. With a renewed focus on our core user experience, we saw our NPS score triple in the span of 18 months—from 15 to 50—and we’re already feeling the impact of these changes across the company.   How? A relentless prioritization of UX-focused, product-led growth.  ...

How self-serve product analytics empowers teams to be data-informed (insights from ZipRecruiter, GoDaddy, RingCentral, and more)

Almost every company strives to be data-informed, which can lead to a tendency to collect product data in droves. But, too often, only a select few are given the ability to actually distill product data into real insights. What’s with this data gatekeeping? For starters, data isn’t always easily accessible to those who need it. Engineers, product...

New in Mixpanel: limitless segmentation with Lookup Tables

Product people love data. It gives us the confidence to make all kinds of decisions. With data, we can secure resources to build a feature, launch in new markets, or even change that lime green icon to mint green…. Anything is possible. But when these often critical decisions are based entirely on the data we have, versus the data we need, we might...

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