Dreamdata is a B2B revenue attribution and analytics platform that maps every marketing and sales touchpoint — from first anonymous web visit to closed-won — to provide accurate attribution of pipeline and revenue. It is built specifically for the complexity of B2B buying journeys: long cycles, multiple stakeholders, and dozens of touchpoints across months.
Product Overview
Dreamdata aggregates data from CRM, marketing automation, ad platforms, website analytics, and customer success tools into a unified customer data pipeline, then applies attribution models across the entire journey. Unlike last-touch or first-touch models that credit only one interaction, Dreamdata's algorithmic attribution distributes credit across every touchpoint in proportion to its actual influence. Revenue teams use it to answer questions like: which campaigns are generating the most pipeline? Which channels influence deals that actually close? And which content pieces appear in the buying journeys of the best customers?
Key Features
- Full-Funnel Attribution: Map every touchpoint from first anonymous visit to closed-won across all channels and systems.
- Multi-Model Attribution: Compare first-touch, last-touch, linear, time-decay, and algorithmic models side by side for any campaign.
- Unified Customer Journey: Stitch together anonymous and known interactions across web, email, ads, and CRM into a single account timeline.
- Pipeline & Revenue Analytics: Connect marketing spend and activity to pipeline created, influenced, and revenue generated — by channel, campaign, and content.
- Self-Serve Data Pipeline: Connect all marketing and revenue tools via pre-built connectors — no data engineering required.
Best For
B2B marketing and RevOps teams that need to prove the ROI of marketing spend, optimise budget allocation across channels, and provide accurate attribution reports to finance and leadership.
Pricing
Starter from $999/month; Business from $1,999/month; Enterprise custom. Annual billing.
Key Integrations
Salesforce, HubSpot, Marketo, Google Ads, LinkedIn Ads, Google Analytics, Segment, Snowflake, BigQuery
Pros
- Built specifically for B2B — handles long cycles and multi-stakeholder journeys
- Multiple attribution models in one platform
- Stitches anonymous to known journey without code
- Pre-built connectors — no data engineering needed
Cons
- Expensive for smaller teams
- Requires clean, connected data stack to deliver full value
- Algorithmic attribution is a black box — harder to explain to stakeholders
