Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in a way that catered to just one product. As the company began its path as a startup, it was convenient to keep the architecture simple and flexible to quickly adapt to change and align direction if needed to ensure business success.

Most agencies struggle with the same challenge: proving the value of their work to their clients and showcasing performance in an understandable way while ensuring internal processes are streamlined and optimized. You usually have no time to build complex reports across multiple platforms for every client. The data you need is scattered across different sources, and most of your processes require manual data collection and calculations.

Helping companies leverage their data to make better decisions and improve their performance is something we strive for at Databox. Until recently, this type of analysis has only been reserved for larger enterprises with dedicated teams and budgets for complex tools. Fortunately, recent innovations are reshaping this landscape.

Growing any business is difficult, but scaling a software as a service (SaaS) company is on a whole other level. Most SaaS companies struggle to achieve predictable revenue growth, while even public SaaS companies struggle to achieve profitability. To make a SaaS company successful, you can’t just change your software delivery model to the web and expect it all to work. You have to make thoughtful, data-driven decisions when it comes to your marketing, sales, and customer success operations.

We analyzed 50K+ data points to find the most important Google Analytics metrics. Here are the top 10, plus definitions for each metric and how to find them.