This post is a part of the Growthzilla Book series, which is an online draft of the print edition that will be available in 2018.
A key part of the growth science methodology is iteration. It’s not enough to form one hypothesis, test it, and implement a change. If you stop short, you’ll be missing out on substantial optimizations that can add up to incredible gains to customer or revenue growth. The key is to keep experimenting in areas where previous changes have led to strategically significant gains.
You can either iterate on past experiments and try small variations or try the same kinds of experiments in other contexts. For example, let’s say that you try an experiment to get more people to click on the registration button on your website. In trying to increase the conversion rate on new customer registration on your web app, you don’t want to stop with just changing the color of the “Register” button to bright green. You also should double down on this line of thinking and test changing the button color to orange and red. Not only that, you might try very related experiments such as testing the label text. Perhaps you can try “Sign up” and “Get Started” instead of “Register.” And these iterations are only for one button. Not only that we haven’t even started talking about marketing and operations.
A great example of iterative experimentation leading to markedly higher increases in growth comes from a leading language learning platform, Duolingo. Gina Gotthilf, VP of Growth, recounted the story of how her team made huge strides in Duolingo’s customer engagement through iterative experimentation with their registration process.