Dreamdata.io

We were part of driving Trustpilot forward to achieve high revenue growth, and in Trustpilot - as in many other B2B SaaS companies - growth was driven as a mix of marketing, product and sales activities. However, we struggled to create a common understanding across the business of the impact from the different parts of the organization. This meant that when we wanted to know what drove revenue we always ended up in silos. This was a data and tooling problem. If we wanted to know what drove our revenue we had to join data from our product and website tracking, from our marketing tracking, and from our CRM. We wanted something that enabled us to look at data from a holistic point of view and show how sales, marketing and product influenced revenue. And create a foundation to optimize all areas and their interaction towards revenue. We searched for a product that could do this, but did not find any. The tools we found focused on only one of the big silos of sales, marketing or product. Or they did not handle the complexity of the B2B buying journey where companies buy products but they are represented by multiple users. Very often tools that looked outside sales did not incorporate revenue - a crucial component when you want to know if your product and marketing activities are actually working and contributing. In the end we built our own tool to handle all the data and to be able to create holistic attribution models and lead scoring that looked across data. That tool became dreamdata.io. Team