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Brief
Dreamdata

Dreamdata

Marketing Analytics & Attributiondreamdata.io

Dreamdata provides B2B companies with automated revenue attribution and analytics that connects marketing activities to actual revenue, enabling data-driven optimization of go-to-market strategies and improved ROI on marketing spend.

Last updated Jun 23, 2026 by the ATDb Editorial Team

Founded
2018
HQ
Copenhagen, Capital Region, Denmark
Connections
13

At a glance

Employees
51-200
Funding
$14M
13integrations

About

Emerging B2B-focused revenue attribution platform with strong presence in European mid-market

Dreamdata is a B2B revenue attribution and analytics platform founded in 2018 that specializes in helping B2B companies understand their customer journey from first touch to closed revenue. The platform automatically collects, models, and analyzes data from marketing, sales, and product tools to provide comprehensive attribution insights and revenue analytics. Dreamdata positions itself as a solution to the complex challenge of B2B attribution, where long sales cycles and multiple touchpoints make it difficult to understand what marketing and sales activities actually drive revenue. The company serves primarily B2B SaaS and technology companies that need to optimize their go-to-market strategies and prove marketing ROI. Dreamdata differentiates itself through its focus on B2B-specific attribution models, automatic data collection and modeling, and its ability to unify data across the entire revenue funnel. The platform has gained traction in the European market and among mid-market B2B companies looking for sophisticated attribution without enterprise-level complexity.

Business model

SaaS

Target market

Mid-Market

What they offer

  • Revenue Attribution

    Multi-touch attribution models specifically designed for B2B customer journeys, tracking all touchpoints from anonymous visitor to closed revenue

  • Customer Journey Analytics

    Visualization and analysis of complete B2B customer journeys across marketing, sales, and product interactions

  • Data Platform

    Automated data collection and unification from marketing, sales, CRM, and product tools into a single source of truth

  • Revenue Analytics

    Comprehensive analytics on pipeline generation, revenue performance, and campaign effectiveness

  • Account-Based Analytics

    Account-level insights and attribution for ABM strategies and enterprise sales motions

Key features

Automatic data collection and modelingB2B-specific attribution modelsAccount-based attributionMulti-touch attributionRevenue journey visualizationCampaign performance analyticsPipeline attributionAd spend optimizationCustom attribution modelsData warehouse integration

Use cases

Marketing ROI measurement and optimizationMulti-touch attribution for B2B campaignsPipeline generation analysisAd spend optimizationAccount-based marketing measurementSales and marketing alignmentCustomer journey analysisChannel performance evaluationContent marketing attributionDemand generation optimization

Customer segments

B2B SaaS companiesTechnology companiesMid-market B2B businessesEnterprise B2B companiesMarketing teamsRevenue operations teams

Tech & specs

Technology stack

JavaScript trackingCloud infrastructureData warehousingAPI integrationsETL pipelines

Security & compliance

GDPRCCPAISO 27001

Deployment

Cloud

API

Yes

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