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Dreamdata
B2B revenue attribution and customer journey mapping platform.
What it does
Maps complete B2B customer journeys from first touch to revenue. Provides AI-driven revenue attribution models (multi-touch, linear, etc.). Identifies target accounts visiting your site through intent signals. Syncs offline conversion data to optimize digital ad spend. Builds precision audiences for LinkedIn and Google Ads based on revenue data.
Why it works
B2B Focus: Specifically designed for complex sales cycles with multiple stakeholders, unlike B2C analytics. First-Party Tracking: Uses a robust engine that works in a cookieless world. Revenue-Led: Moves beyond 'leads' to show exactly how much pipeline and revenue each marketing activity generates. Data Centralization: Pulls data from CRM, ad platforms, and web analytics into a single 'source of truth'.
Category: Marketing & Growth
Team Size: 26-100
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As of 2026
Marketing & Growth
Revenue: $1M-$10M ARR
B2B revenue attribution and customer journey mapping platform.
Overview
Dreamdata is a B2B revenue attribution platform that connects all marketing and sales data to provide a unified view of the customer journey. By revealing which channels and campaigns actually drive revenue, it helps B2B companies optimize their go-to-market strategies and accurately measure ROI across long, complex sales cycles.
Funding status: Funded
Revenue source: Subscriptions
Customer type: B2B
Pricing: Freemium
Tech stack: Go, Python, BigQuery, Google Cloud
Platform: Web
Integrations: HubSpot, Salesforce, LinkedIn Ads, Google Ads, G2
Founder story
Founded in 2018 in Copenhagen by Lars Grønnegaard, Ole Dallerup, and Steffen Hedebrandt. Having worked at high-growth startups like Trustpilot, they were frustrated that they couldn't prove which marketing efforts were actually making the company money. They built Dreamdata to finally answer: 'Which touchpoints led to this $100k deal?'
What it does
- Maps complete B2B customer journeys from first touch to revenue
- Provides AI-driven revenue attribution models (multi-touch, linear, etc.)
- Identifies target accounts visiting your site through intent signals
- Syncs offline conversion data to optimize digital ad spend
- Builds precision audiences for LinkedIn and Google Ads based on revenue data.
Who it's for
- B2B Marketers
- Revenue Operations
- Demand generation managers
- CMOs
Why it works
- B2B Focus: Specifically designed for complex sales cycles with multiple stakeholders, unlike B2C analytics
- First-Party Tracking: Uses a robust engine that works in a cookieless world
- Revenue-Led: Moves beyond 'leads' to show exactly how much pipeline and revenue each marketing activity generates
- Data Centralization: Pulls data from CRM, ad platforms, and web analytics into a single 'source of truth'.
Growth strategies
- Disrupted the market with a 'Dreamdata Free' plan, allowing small teams to access enterprise attribution tools.
- Targeted high- growth B2B companies that are scaling their paid ad spend.
- Leveraged deep content marketing and LinkedIn benchmark reports to build authority.
- Built native, deep integrations with HubSpot and Salesforce ecosystems.
Alternatives
Comparison overview
- Bizible (Adobe): The legacy enterprise giant; powerful but often seen as slow and hard to implement compared to Dreamdata.
- 6sense: Focuses more on 'top of funnel' and intent, while Dreamdata excels at deep revenue attribution.
- HockeyStack: A fast-moving competitor with a focus on simplicity and quick setup.
- Dreamdata is the choice for B2B teams who want enterprise-grade attribution with a modern, fast-to-value implementation.