Dreamdata

Revenue Intelligence

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Total raised$80M
Last roundSeries B · $55M · Oct 2025
Founded2018
HQCopenhagen, Denmark
Upstream
Call recordings + CRM
Revenue Intelligence
Dreamdata
Revenue intelligence
Downstream
Forecast / coaching
Pricing tier:
$$ · from Starts ~$2,500/mo for mid-market

Analyst Take

Dreamdata is the most mature Series B in this Tier 2 batch — 7 years old, real customers, real product. The $55M round is conservative for the vintage, which suggests disciplined growth rather than blitzscale.

For GTM leaders: serious candidate if (a) you’re a B2B SaaS company with a data warehouse, (b) attribution matters to you at the budget-defense level, and (c) you’re outgrowing HubSpot’s native reports. Run a 60-day pilot — Dreamdata’s product is technically competent and the team is responsive at the mid-market scale.

The strategic question is whether attribution survives as a standalone category or gets absorbed by RevOps platforms. Dreamdata bets on standalone; the next 24 months decide whether that bet pays.

SWOT Analysis

Strengths

Strong product on the technical attribution math — handles long B2B cycles better than HubSpot/Marketo native reports. Danish/Nordic root keeps the team disciplined on capital efficiency. Real customer base in mid-market B2B SaaS — not just narrative.

Weaknesses

Attribution as a category is contested by every CRM vendor + Bizible + HockeyStack + Factors.ai. $55M Series B in 2025 is modest for a 7-year-old company — telegraphs slower growth. Geographic distance from US sales motion can make enterprise sales harder.

Opportunities

Attribution + AI agent layer ('here's why your pipeline missed') is a genuinely differentiated product. OEM into RevOps platforms looking for attribution depth. Vertical wedge in B2B SaaS specifically.

Threats

HockeyStack moving up-market with cleaner UX. Factors.ai consolidating the attribution + intent space. Every CRM vendor shipping 'good enough' attribution natively.

Fit Assessment

Best For

  • Series B+ B2B SaaS with 6+ marketing channels and long sales cycles
  • Marketing teams accountable for pipeline contribution at the channel level
  • Companies with HubSpot or Salesforce + a modern data warehouse

Worst For

  • SMB or product-led-growth companies where attribution is simpler
  • Teams without a data warehouse or willingness to instrument tracking properly
  • Companies looking for last-touch attribution only

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