Dreamdata

Overview

Dreamdata is a B2B Activation & Attribution Platform that provides the most complete B2B customer journey map available, empowering marketers to build and activate precise audiences, leverage AI signals, and measure what truly drives revenue. Founded in 2018 in Copenhagen, Denmark by Steffen Hedebrandt, Ole Lerche Dallerup, and Lars Grønnegaard, Dreamdata has grown from a three-person Copenhagen office to a global platform with $67M in total funding, including a $55M Series B led by PeakSpan Capital in 2024. The platform solves a critical problem for B2B marketers: understanding which marketing activities actually drive revenue in complex, multi-stakeholder buying journeys. Dreamdata automatically tracks every touchpoint across the customer lifecycle - from first anonymous website visit through closed-won revenue and expansion - creating a complete view of how buyers engage with your brand across channels, campaigns, and content. Key features include complete B2B customer journey mapping with both known and anonymous visitor tracking, multi-touch attribution models that show how each marketing activity contributes to revenue, AI-powered signals that identify accounts showing buying intent, audience building and activation to target high-intent accounts across paid channels, and engagement scoring that prioritizes accounts based on behavior. The platform integrates with major ad platforms, CRMs, marketing automation tools, and analytics systems to unify data from across the marketing stack. Dreamdata serves B2B companies of all sizes, particularly SaaS and technology firms with long, multi-stakeholder buying journeys where attribution is complex. The platform helps marketing teams prove ROI, optimize budget allocation, and shift from lead-based to account-based marketing strategies. Pricing includes a Free Plan ($0/month with foundational B2B web analytics, company identification, and engagement scoring with limited history), Activation Starter (around $750/month with full customer journeys, AI Signals, and advanced audience building), and higher tiers for larger teams and enterprise needs. The accessible entry-level pricing makes Dreamdata attractive for mid-market companies looking to implement sophisticated attribution without enterprise-level budgets. What differentiates Dreamdata is its focus specifically on B2B attribution challenges - handling anonymous visitors, long sales cycles, buying committees, and multiple touchpoints - rather than adapting B2C attribution models. The platform's AI Signals feature identifies early buying intent before prospects fill out forms, enabling proactive outreach. Combined with activation capabilities that push audiences directly to ad platforms, Dreamdata closes the loop from insights to action.

Key Features

Pros & Cons