Copenhagen-based B2B revenue attribution platform, Dreamdata, has raised £3.3M (approx €3.6M) in a fresh round of funding. The round was led by InReach Ventures and Crowberry Capital, with participation from existing investors Seedcamp, Futuristic.vc, and Preseed Ventures.
How will the startup use the funds?
According to the startup, B2B companies have various departments, teams, and data silos, representing different revenue realities. This is where Dreamdata wants to make a difference.
“With this new funding, we will invest in further developing our platform and continue to open people’s eyes to the undisputed value a revenue attribution platform can bring to B2B companies,” says Dreamdata CEO, Lars Gronnegaard.
How does Dreamdata help your company?
The startup was founded in 2018 by Lars Gronnegaard, Ole Dallerup, and Steffen Hedebrandt. “In a nutshell, Dreamdata helps B2B companies repeat the success and stop wasting money,” says Lars Gronnegaard.
Dreamdata is a B2B revenue attribution platform that pulls together and cleans siloed commercial data sources before joining them together with behavioural data. By doing so, the company claims to provide a holistic reflection of the actual B2B customer journey and transforms it into an easy-to-digest, actionable analysis.
The platform helps demand generation and commercial ops professionals uncover which of their B2B go-to-market efforts are actually paying off and enables them to repeat the same.
How Dreamdata is solving the pain-points of B2B companies?
B2Bs operate in an incredibly complex world, as the decision making could take over months or even years. Currently, up to 69% of B2B ad spend is wasted on campaigns that fail to bring ROI.
Currently, B2B businesses are forced into using tools that are meant for B2C scenarios, hence there is a much-needed revenue attribution platform, claims the company.
The platform empowers companies to amalgamate a diverse range of data from a variety of currently siloed sources across the business and make more informed decisions. Dreamdata then joints the dots, simplifies the data, and builds a data set that makes sense for decision making in a B2B context.
A data set that’s actually meaningful in a B2B context provides simple, actionable analysis and answers vital B2B marketing questions including which campaigns and channels to stop or scale, what is the return on ad spend, and how long does it take to acquire new customers.
Dreamdata’s clients include public listed B2B companies, such as electronics company Jabra, and rapidly growing SaaS brands.
