Lean Analytics: Use Data to Build a Better Startup Faster (Lean (O'Reilly))

The most important metrics will be around engagement.

Fortunately, the ecosystem provides an early warning mechanism of success (i.e., adoption)...by creating a large enough ecosystem, we can not only encourage a rapid rate of innovation but also leverage that ecosystem to identify success and then either copy (a weak ecosystem approach) or acquire (a strong ecosystem approach) that activity. This is

SaaS company offers software on an on-demand basis, usually delivered through a website it operates.

In this way, by the time you launch the MVP you’ll have a critical mass of testers

Your top priority is to build a core set of features that gets used regularly and successfully, even by a small group of initial users. Without that, you don’t have a solid enough foundation for growth.

Each group of users is a cohort — participants in an experiment across their lifecycle. You can compare cohorts against one another to see if, on the whole, key metrics are getting better over time.

if people don’t finish the last questions, you still have enough quantitative responses to generate results in which you can be confident.

Evaluating the Metrics You Track Take a look at the top three to five metrics that you track religiously and review daily. Write them down. Now answer these questions about them: How many of those metrics are good metrics? How many do you use to make business decisions, and how many are just vanity metrics? Can you eliminate any that aren’t adding

Open and click-through rates will vary significantly, but a well-run campaign should hit a 20–30% open rate and over 5% click-through.