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Data has fundamentally changed how we design and develop products, but there’s a difference between simply reacting to data points and applying the level of analytic rigor needed to yield meaningful results. Understand the role of data with nuance. That’s where data comes in. Here’s how.
You can spend all the time in the world devising a thoughtful, nuanced analytics strategy for your product analytics, but if your event tracking isn’t set up behind the scenes just how you need it, some (or all) of your data might be rendered far less helpful than you’d like. As they say—garbage in, garbage out.
Mixpanel is the gold standard for iOS app analytics. Integrating new frameworks can be work, not to mention risky for introducing bugs (especially if you’re already invested in some other analyticstool like Google Analytics). But this is especially true when it comes to tracking user events for analytics purposes.
It’s the primary technique used to capture usage information by product analytics platforms like Mixpanel. The first thing to wrap your head around is what is meant by an “event” in the context of mobile app analytics. Tools like Mixpanel allow your app to track events like these for all of your users. Knowledge is power.
So the last thing we want is to step on all of that by needlessly littering our views with event tracking calls to analytics platforms. Here’s how to harness the incredible product insights of an analytics framework like Mixpanel, while keeping your SwiftUI as clean and simple as it was meant to be. They add clutter.
implementing product analytics) is something that can wait until your team is bigger, until you have more users, or until you have more money. But, speaking from experience, I can ensure you that implementing product analytics from the go can be well worth it. With product analytics, you can know the difference. Here’s why.
One of those niches that’s become more valuable in recent years: product analytics. As data-driven product development continues to balloon in popularity, so does the need for accurate and sophisticated implementation of analytics tracking in software products. Spearhead a slick analytics implementation.
Product analytics is an ongoing effort. As new features are added to your products, so should new analytics events be added to your codebases. But different companies have different strategies for how and when they update their analytics implementations. Others wait to implement analytics until a later sprint all at once.
But first, you not only need a strong grasp of what user friction looks like, but you also need to be equipped with product analytics that can systematically identify its sources in your app so you can stamp it out. Detecting user friction with product analytics. Here’s how. What is user friction? That’s user friction.
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