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Mixpanel is the gold standard for iOS appanalytics. And the best way to see how is to try it in your app. 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).
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.
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.
Event tracking is how you know what’s happening in your mobile apps. It’s the primary technique used to capture usage information by product analyticsplatforms like Mixpanel. An event is something that happens in an app. When a user uses an app, they do stuff. Let’s unpack that, shall we?
When you’re in the early stages of launching a new app, you’ve already got an enormous number of challenges with little time and resources to get it all done. implementing product analytics) is something that can wait until your team is bigger, until you have more users, or until you have more money. Here’s why. You’re not too small.
So the last thing we want is to step on all of that by needlessly littering our views with event tracking calls to analyticsplatforms. The solution: Update the elegance of your event tracking approach to match the elegance of SwiftUI. Analytics code can balloon SwiftUI views. Decouple events from analyticsplatforms.
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.
Behavioral data enables companies to build better products and experiences for their customers. But collecting and harnessing that data means having the right stack in place to turn that data into decisions—to collect, model, and analyze it. How to build a Modern Data Stack for your business. Behavioral Data and Privacy.
No wonder the consumer investment team ended up digging into this trend by doing a market map report — the analysis led by Li Jin and including work from myself, Connie Chan, and others. The report covers things in more detail at the end, but that’s the tldr; from an investment standpoint. Thanks, Andrew.
It only takes a small amount of user friction to cause an app to hemorrhage users. And even apps that manage to remain sticky despite user friction will see their users struggle to find the intended value in all its features. Simply put: User friction can single-handedly sink an app’s usefulness. Here’s how.
No wonder the consumer investment team ended up digging into this trend by doing a market map report — the analysis led by Li Jin, Avery Segal and Bennett Carroccio, including work from myself, Connie Chan, and others. The report covers things in more detail at the end, but that’s the tldr; from an investment standpoint.
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