Attribution & Analytics
Dreamdata
Dreamdata is a B2B revenue attribution platform that stitches together fragmented sales and marketing data to show what actually drives pipeline and closed revenue. It collects ad clicks, website sessions, CRM deals, and product signals, joins them by account and contact, and builds full customer-journey timelines across long B2B buying cycles. Marketers use it to compare channels, campaigns, and content on a revenue basis rather than last-click leads, and to push modeled audiences and conversion signals back to ad platforms so bidding optimizes toward pipeline instead of cheap form fills.
What it does
Dreamdata builds a complete, account-level picture of how B2B revenue is created. It ingests data from ad platforms, web analytics, CRMs like HubSpot and Salesforce, and product or sign-up events, then resolves identities so anonymous web visits, leads, and closed deals connect into one journey per account. From that timeline it runs multi-touch attribution models that credit channels, campaigns, and individual pieces of content by their contribution to pipeline and revenue, not just first or last touch. It also activates the data, sending qualified audiences and revenue-weighted conversion events back to Google, Meta, and LinkedIn so ad algorithms optimize toward deals instead of low-quality form submissions.
Where it fits
It sits between your CRM, web analytics, and ad platforms, turning scattered touchpoints into revenue-based attribution and feeding pipeline signals back into bidding.
Core features
- Account-level identity resolution across web, ads, CRM, and product data
- Multi-touch attribution models built for long B2B sales cycles
- Full customer-journey timelines from first touch to closed revenue
- Audience building and activation to Google, Meta, and LinkedIn
- Revenue-weighted conversion signals fed back to ad platforms
- Native integrations with HubSpot, Salesforce, and major ad channels
Best for
- B2B and SaaS marketers measuring pipeline, not last-click leads
- Teams running multi-touch campaigns across long buying cycles
- Marketing ops connecting CRM revenue to ad spend
Beginner notes
- Get CRM deal stages and won/lost data clean first — attribution quality depends on it.
- Start with one clear question, like which channels source pipeline, before exploring every model.
- Use the free plan to validate tracking and identity stitching before committing to paid activation.