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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. One way of understanding this is that there is no single metric that can definitively tell you whether a product will or won’t succeed.
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.
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.
Without further adieu, here’s the a16z consumer team’s definitive analysis of the podcast ecosystem in 2019. As new tech platforms hit scale, we on the consumer team have been closely watching the future of media and the technology driving it — in all forms. You can subscribe to get more updates. Thanks, Andrew. Audioblogging?
Without further adieu, here’s the a16z consumer team’s definitive analysis of the podcast ecosystem in 2019. As new tech platforms hit scale, we on the consumer team have been closely watching the future of media and the technology driving it — in all forms. You can subscribe to get more updates. Thanks, Andrew. Audioblogging?
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