Here's how to think about analytics, the best way to choose metrics, different ways to use your data, and how to set yourself up for future growth.
Everyone loves their wall-mounted dashboards, but we rarely pick the right metrics to track. And tracking the wrong metrics is almost as bad as tracking nothing at all. Here's what you need to know about selecting actionable metrics.
Analytics can be overwhelming. You’re reading thousands of business articles on hundreds of business metrics. Your team is pushing you to collect mounds of analytics data. You’re trying to integrate the data to dozens of analytics and growth tools and their complex APIs. What is the point of it all?
Customer data is becoming useful in more and more tools—analytics, sending personalized emails, running A/B tests, etc. But this introduces some complexity in data management. Here are best practices in maintaining consistent and high-quality customer data, so you can focus on growing your business.
Product-market fit happens when a market buys the product you’ve built. All products and features need to find product-market fit in order to survive. This seems simple enough. Surely people know how to do this reliably? Surely Silicon Valley, startup accelerators, and business schools must have a repeatable method for building products that a market wants to buy? Nope. The reality is not so pretty.
Getting the right message to the right person at the right time requires that your tools are working off the right audiences. While 1:1 communication may be out of the question as you scale. It doesn't mean you can't engage users in personal and relevant ways. Check out this lesson to learn more about the audiences that every B2C and B2B company can use to guarantee high engagement.
There comes a day where your existing analytics tools won’t be able to answer your questions. But for a while, out-of-the-box analytics tools are all you need. When should you level up to SQL? When you hit one of these blockers.
Though the sharing economy is ushering us into a world of letting foreigners sleep in your bed, riding in cars with strangers, and generally eschewing the notion of “ownership,” we strongly believe that when it comes to analytics data, you should own it.