Dreamdata Secures $55 Million Series B to Expand AI-Powered B2B Marketing Analytics and Activation

Dreamdata, the Copenhagen‑based B2B marketing analytics and activation platform, has secured US $55 million in a Series B funding round, solidifying its position in the go‑to‑market technology space. The round was led by PeakSpan Capital, with participation from returning backers including InReach Ventures, Angel Invest, Curiosity Venture Capital and Crowberry Capital.

Dreamdata’s mission is to deliver a unified revenue‑centric platform for B2B marketers, combining attribution, analytics and activation to turn fragmented marketing data into actionable insights. With this latest funding, the company says it is poised to accelerate development of its analytics and activation layers and expand into new geographies in response to increasing enterprise demand for AI‑driven marketing infrastructure.

Founded in 2018 by Lars Grønnegaard, Ole Dallerup and Steffen Hedebrandt, Dreamdata began life as a revenue attribution platform helping B2B companies understand which marketing and sales touch‑points drive pipeline and revenue. The platform aggregates data across advertising, website visits, CRM, email and first‑/third‑party sources to provide a single coherent view of the customer journey.

In its previous Series A round, Dreamdata raised approximately €7 million (or roughly US $6.2 million) led by Signals.vc and joined by InReach Ventures, Crowberry Capital, Seedcamp, Futuristic.vc and Preseed Ventures. With these injections of capital, the company has grown its product beyond attribution into what it describes as an activation layer—feeding audience orchestration, predictive insights and workflow automation into marketing operations.

The Series B injection comes at a moment when B2B marketing teams are under pressure to prove and optimise their contribution to revenue, while organisations embrace AI and data‑driven workflows. Dreamdata claims its platform helps address the fragmentation of data stacks that traditionally plague marketers — stitching together disparate channels into a more unified model and enabling real‑time action rather than just retrospective measurement.

With the new funds, Dreamdata plans to deepen its AI‑powered features, including predictive signals and automated conversion synchronisation across major ad platforms, reducing reliance on engineering teams while enabling marketers to orchestrate audiences and attribution more effectively. The company also intends to scale its operations globally, with focus on North America and broader enterprise use‑cases beyond its strong Nordic base.

The participation of PeakSpan Capital is a strong signal: the firm has a track‑record of backing go‑to‑market and SaaS‑scale companies and its involvement positions Dreamdata for growth at scale. The continuing support from InReach Ventures, Angel Invest, Curiosity Venture Capital and Crowberry Capital indicates sustained investor confidence in Dreamdata’s vision and execution.

Dreamdata’s technology is designed for modern B2B organisations that need to move beyond tracking last‑touch conversions toward understanding full journeys, optimising spend, and driving revenue through marketing. The platform’s shift from attribution to activation is a reflection of broader trends in martech where marketers are expected to not only measure but also influence pipeline and growth directly.

As a combined product and commercial platform, Dreamdata is now positioning itself as the “marketing revenue engine” for B2B companies — offering attribution analytics, audience orchestration and automated workflow triggers as part of its suite. Investors believe that this positioning, together with global expansion and AI‑led innovation, gives the company significant runway ahead.

The $55 million funding round elevates Dreamdata’s total capital raised to at least US $67 million since inception, putting it among the more well‑financially backed MarTech scale‑ups coming out of Europe. With increased resources, the company is set to accelerate its international growth, deepen its integration into large enterprise marketing stacks, and continue building the technology stack that allows B2B marketers to “own revenue” in the AI era.