Logo: Dreamdata

Dreamdata

B2B revenue attribution and activation platform from Denmark: unified account journeys, multi-touch ROI, AI intent signals, and audience syncs to major ad networks.

Dreamdata is a B2B revenue attribution and activation platform operated by Dreamdata.io ApS from Copenhagen, Denmark. Founded in 2018, it unifies go-to-market data from websites, ads, CRM, marketing automation, and partner intent sources into account-level customer journeys.

It exists for marketing and revenue teams that need multi-touch influence on pipeline, not another pageview dashboard. Core surfaces include Customer Journeys, Performance Attribution, Reveal and AI Signals, and Audience Hub with daily syncs to major ad networks.

The concrete differentiator is that account-level B2B journey model with activation back into ad platforms. It is a Danish SaaS, not a cookieless website-stats tool.

EU HQ (Denmark)B2B multi-touch attributionAudience + ad activationEU data on GCPSOC 2 Type II (claimed)Free tier + custom paid

Shortlist Dreamdata when you need EU-headquartered B2B multi-touch attribution plus activation (audiences, offline conversions, sales alerts) on a unified GTM journey model. Skip when you only need privacy-first web analytics, require non-GCP or self-hosted residency, or primarily want third-party ABM intent graphs—consider Matomo/self-host analytics or ABM suites such as 6sense/Demandbase instead.

Key capabilities

Interactive timelines stitch web, ad, email, and CRM/sales stages into one account (and contact) view so marketing and sales share a single narrative of the path to pipeline. Built from first-party tracking (including cookieless account analytics) plus GTM stack integrations and partner intent (e.g. LinkedIn, G2). Completeness depends on which sources you connect and consent/tracking coverage.

Attribute pipeline and revenue across paid and organic channels with customizable models; break down ROAS/LTV by network and campaign. Offline conversion export can send pipeline outcomes back to LinkedIn and Google Ads campaign managers so bidding optimizes toward revenue stages, not only form fills. Advanced attribution depth sits on paid tiers; free history and volume limits apply.

Build audiences from unified GTM filters (web behaviour, firmographics, pipeline stage, engagement scores, AI signals) and sync daily to LinkedIn, Google, Meta, and Microsoft Ads. Vendor cites high LinkedIn company match rates versus typical list uploads. Free plan limits sync count; emails are encrypted before ad-platform handoff per product privacy docs—controllers remain responsible for lawful basis and platform consent settings.

AI scans connected GTM journeys to surface behaviours correlated with pipeline/revenue; you choose which signals feed a custom Engagement Score used in Reveal, audiences, and sales prioritization. Notifications to Slack or Microsoft Teams fire when the data model runs (typically daily—not real-time). Vendor documentation notes generative AI powered by Google Gemini for signal work—factor that into subprocessor and AI diligence.

Proprietary IP-to-company resolution (included on all plans per vendor) aims to identify anonymous company visitors even when cookies are declined; cookieless account analytics tracks engagement without storing PII for that mode. Vendor claims identification of up to roughly 80% of companies in marketing materials—treat as claimed performance, validate on your traffic mix. Complements CRM-known contacts rather than replacing consent management.

At a glance

HQ
Copenhagen, Denmark
Legal entity
Dreamdata.io ApS (CVR 39855224)
Founded
2018
Hosting
Google Cloud Platform, EU data centers (vendor)
Deployment
Cloud SaaS only (not self-hosted)
Commercial model
Free tier; paid Activation & Attribution (custom)
Open source
No

Best fit when

  • B2B marketing and RevOps teams that need account-level journeys from anonymous web through CRM pipeline stages
  • Orgs running LinkedIn/Google (and often Meta/Microsoft) ads that want offline conversion and audience reverse-syncs
  • Stacks centered on Salesforce or HubSpot plus multi-channel paid and content programs
  • Buyers who want a freemium proof path before committing to full Activation/Attribution packages
  • Teams evaluating European legal entity and EU-region storage claims alongside GCP infrastructure

Poor fit when

  • Requirements for self-hosted or non-Google Cloud residency only
  • Consumer or PLG product analytics without B2B account/CRM attribution needs
  • Procurement that forbids any US-group cloud or US AI subprocessors (GCP + Gemini in product AI path)
  • Need for sub-hour real-time sales alerting rather than daily model-driven notifications

Consider instead when

  • When: You only need privacy-first website analytics without CRM multi-touch revenue models

    Consider: Matomo (self-host or cloud) or lightweight EU analytics such as Fathom-class tools

    These do not replace B2B revenue attribution and ad offline conversions.

  • When: Primary need is third-party ABM intent graphs and account scoring rather than first-party journey attribution

    Consider: 6sense or Demandbase

    Compare intent coverage vs Dreamdata’s first-party stitching and activation focus.

  • When: You want similar B2B journey/attribution peers for a bake-off

    Consider: HockeyStack or CaliberMind

    Score ad match rates, offline conversions, EU entity/hosting, and DPA packaging side by side.

Jurisdiction & ownership

Legal entity
Dreamdata.io ApS (CVR 39855224), Kalvebod Brygge 39, 1560 Copenhagen
Governing law
Danish entity; confirm contract governing law on order form/DPA
US parent / control
No known US parent
CLOUD Act exposure (indicative)
Medium
Hosting / residency
Primary infrastructure: Google Cloud Platform with customer data in EU regions/AZs (vendor security + TOMs). Keys via Google Cloud KMS. Backups multi-AZ EU per TOMs. Product AI Signals document Google Gemini. Full public subprocessor table not fully crawlable outside Trust Center—confirm live list.

No known US parent; US office in New York is commercial presence. Indicative CLOUD Act exposure is medium because of US-group GCP (and Gemini AI path), despite EU entity and claimed EU storage. Not legal advice.

  • Independent security / no-logs auditNot applicable
  • ISO 27001Not found
  • SOC 2 / SOC 3Vendor claimed
  • GDPR / EU data protectionVendor claimed
  • +3

Considerations & known limitations

  • MediumUS-group cloud (Google Cloud) under EU storage

    Despite Danish HQ and claimed EU data centers, infrastructure and KMS are Google Cloud. Orgs with strict no-US-cloud policies need legal review of transfers, SCCs/DPF, and residual CLOUD Act risk.

  • MediumGoogle Gemini in AI Signals path

    Vendor Signals FAQ states generative AI powered by Google Gemini. Confirm what customer data is sent to Gemini, retention, and regional processing before enabling AI features.

  • LowFull subprocessor list not fully public in crawlable form

    Security page names GCP; Trust Center is the likely source for a complete subprocessor inventory but is portal-gated/JS-heavy. Request the live list and change-notification process in diligence.

  • LowIP-to-company identification rates are vendor claims

    Marketing cites up to ~80% company identification and high LinkedIn match rates. Validate on your traffic, geographies, and consent mix before forecasting pipeline impact.

  • LowModel-driven (typically daily) notifications

    Sales alerts are not real-time; they run with the data model cycle. Teams needing sub-hour alerting need a different workflow or complementary tooling.

Open questions for due diligence

  • What is the current full subprocessor list (email, support, analytics, AI) and which processing locations apply to our tenant?
  • Which exact GCP regions hold production and backups for EU customers today?
  • What personal data (if any) is sent to Google Gemini for AI Signals, and under which transfer mechanism?
  • Can we obtain the latest SOC 2 Type II report under NDA, and what is the audit period?
  • Which attribution models and history windows are included on Activation vs full Attribution packages for our MTU band?

Frequently Asked Questions

Dreamdata states that it runs on Google Cloud Platform, stores customer data in data centers within the European Union, and transfers data outside those locations only at the customer’s request. TOMs describe multi-AZ storage in EU regions, AES-256 at rest (Google Cloud KMS), TLS in transit, and backups under Dreamdata procedures. Confirm current regions and the live subprocessor list in the Trust Center during procurement.

Yes. Dreamdata publishes a Data Processing Agreement from its Legal page and states the DPA reflects GDPR requirements. Product docs (e.g. audience sync privacy) describe the customer as controller and Dreamdata as processor for processing done in the product. Review the current DPA PDF, SCCs/transfer language, and any order-form specifics before signing.

Dreamdata offers cookieless account-level analytics and IP-to-company resolution for anonymous company identification, and encrypts email addresses before sending them to ad platforms for syncs. Docs emphasize that you remain controller: you must have a lawful basis, accurate privacy notices, and respect platform consent settings. Using Dreamdata does not by itself create a new lawful basis for processing.

Dreamdata is freemium SaaS. A free plan supports self-serve onboarding with capped history, seats, stage models, notifications, and syncs (for example two months of user history and limited seats/syncs on the public pricing page). Paid Activation and Attribution packages use custom pricing with higher limits, full capability unlocks, and dedicated onboarding/CSM options. No credit card is required to start free until free volume limits are exceeded or you upgrade.

No. Vendor FAQs state notifications are triggered when the data model runs, usually once per day, and are delivered to Slack or Microsoft Teams when accounts match your audience and engagement criteria. That design favors accuracy and lower noise over sub-hour alerting.

SSO is available for Business plan customers (documented on the security and docs sites). Dreamdata is cloud SaaS only—not offered as self-hosted software and not open source. Data export portability to customer-chosen cloud storage (e.g. GCS, BigQuery, S3, Azure) is described in TOMs; Dreamdata’s own infrastructure remains on GCP.