Category
Revenue Intelligence
Key features
Account-based customer journeys
Multi-touch performance attribution
Revenue and pipeline analytics
01 — Overview
What is
Dreamdata
Dreamdata is a B2B attribution platform that collects website activity and data from your CRM, marketing automation and ad tools, then organizes it by account to show how marketing drives pipeline and revenue. Marketers use it to map customer journeys, compare attribution models and report on campaign performance. It can also send enriched audiences and intent signals back to ad platforms, and an AI assistant answers plain English questions about marketing impact.
The verdict
B2B attribution that ties marketing to revenue
02 — Who it’s for
Ideal Customer Profile
Made for B2B marketers and marketing operations teams that run several tools and channels and need to prove marketing's contribution to revenue. Customers range from growing SaaS companies to large firms such as Finastra and Blackline.
03 — Capabilities
Key Features
Account-based customer journeys
Multi-touch performance attribution
Revenue and pipeline analytics
Ad audiences and intent signals
AI assistant for marketing questions
Warehouse data export
05 — Similar tools
Alternatives
06 — FAQ
Frequently Asked Questions
What is Dreamdata used for?
Dreamdata is used to measure how B2B marketing activity turns into pipeline and revenue, by joining website, CRM and ad data at account level and applying attribution models to it.
Who is Dreamdata for?
It is built for B2B marketing teams and marketing operations people who need consistent, trusted numbers on campaign and channel impact across a multi-tool stack.
Which tools does Dreamdata integrate with?
It connects to HubSpot, Salesforce and Microsoft Dynamics, marketing automation tools like Marketo, Pardot and Eloqua, ad platforms such as LinkedIn, Google, Meta and Microsoft Ads, and review sites like G2, Capterra and TrustRadius.
Can I get Dreamdata data into my own warehouse?
Yes. Dreamdata documents data destinations for BigQuery, and for Snowflake, Redshift and Databricks through an Amazon S3 export, using a published table schema.