Dreamdata, a Copenhagen-based B2B revenue attribution platform, has raised $55 million in Series B funding to accelerate its mission of helping marketers take ownership of their revenue in the age of artificial intelligence. The funding round underscores growing investor confidence in tools that bridge the gap between marketing performance and measurable business outcomes as enterprises increasingly adopt AI-driven solutions.
The Series B round was led by an international growth equity firm with participation from existing investors. The fresh capital will be used to enhance Dreamdata’s product capabilities, expand its AI and data infrastructure, and support its go-to-market expansion across Europe and North America. With this round, Dreamdata aims to scale its platform to enable B2B companies to better understand, predict, and optimize their revenue journeys.
Founded in 2018 by Steffen Hedebrandt, Lars Dige Pedersen, and Ole Dallerup, Dreamdata provides a comprehensive platform that connects marketing, sales, and customer success data to reveal the complete customer journey. Its technology allows B2B marketers to attribute revenue to specific channels, campaigns, and touchpoints, providing visibility into what drives conversions and long-term customer value.
In a statement, co-founder and Chief Marketing Officer Steffen Hedebrandt said that the funding validates Dreamdata’s vision to give marketers control over revenue accountability through transparent and actionable insights. He emphasized that B2B marketing has historically lacked clarity in connecting spend with outcomes, and that Dreamdata’s platform addresses this by using AI to unify data from multiple sources into a single source of truth for decision-making.
Chief Executive Officer Lars Dige Pedersen added that the company is witnessing rapid adoption of its platform among technology, SaaS, and enterprise clients looking to align marketing performance with business growth. He noted that Dreamdata’s AI models are helping businesses uncover previously hidden correlations between campaigns, buyer behavior, and sales cycles, allowing them to make data-driven decisions with greater confidence.
Dreamdata’s platform integrates data from CRM systems, ad networks, automation tools, and web analytics platforms to create a full-funnel view of the customer journey. By applying AI and machine learning, the system can identify which touchpoints contribute most to revenue generation and where marketing teams can optimize spending. The platform is designed to give B2B organizations the same level of transparency and measurement accuracy that consumer brands have long achieved through digital analytics.
The company’s approach to attribution focuses on demystifying complex B2B buying processes, which often span months and involve multiple stakeholders. Dreamdata’s platform quantifies each stage of engagement, from the first marketing impression to deal closure, allowing businesses to measure the true impact of their marketing investments. Its AI algorithms continuously refine insights, enabling marketers to focus on strategies that deliver the highest return.
According to the founders, the rise of generative AI and data-driven decision-making has created new opportunities for marketers to link creativity with accountability. Dreamdata’s platform supports this shift by providing predictive models that anticipate revenue trends, customer churn, and campaign performance. These predictive capabilities are helping B2B marketers move from reactive analysis to proactive growth planning.
The new funding will also accelerate Dreamdata’s efforts to build advanced AI-powered forecasting and automation features. These additions aim to simplify complex marketing analytics workflows and empower non-technical teams to extract insights without relying heavily on data science resources. The company plans to invest in expanding its engineering team and refining its integrations with major enterprise software platforms.
Dreamdata’s expansion plans include entering new verticals such as fintech, manufacturing, and healthcare, where data complexity and long sales cycles make revenue attribution particularly challenging. The company has already seen strong traction in the technology and SaaS industries, where marketing performance visibility is a critical factor for scaling growth.
Industry observers have noted that Dreamdata’s momentum reflects a broader trend in B2B marketing: the increasing demand for accountability and data transparency. As AI tools become central to marketing operations, platforms like Dreamdata are enabling companies to measure and optimize every interaction across the customer journey. Analysts have described Dreamdata as part of a new generation of martech startups that are moving beyond vanity metrics to focus on measurable, revenue-linked insights.
The company’s leadership has also reiterated its commitment to responsible and ethical AI usage. Dreamdata’s platform adheres to strict data privacy and governance standards to ensure compliance with regulations such as GDPR. By anonymizing and aggregating user data, the platform ensures that clients can analyze performance without compromising customer privacy.
Dreamdata’s growth trajectory has been strong, with the company reporting significant increases in customer acquisition and platform usage over the past year. Its clients include a mix of mid-market and enterprise businesses across Europe and North America. The company’s user base has grown steadily, driven by increasing pressure on marketing teams to demonstrate ROI amid tighter budgets and heightened competition.
With the Series B funding secured, Dreamdata plans to double down on product innovation, customer success, and global expansion. The founders believe that as AI continues to shape the marketing landscape, companies will need sophisticated, transparent tools to navigate this transformation. Dreamdata’s mission is to equip B2B marketers with the intelligence and clarity they need to connect every marketing effort to business growth.
As the line between marketing, sales, and analytics continues to blur, Dreamdata’s AI-powered approach to revenue attribution is positioning it as a vital enabler of next-generation B2B marketing performance. By bringing precision and accountability to marketing operations, the company aims to empower marketers to own the revenue conversation in the AI era.