What problem does Dreamdata solve for B2B marketers?
Dreamdata solves the problem of proving marketing's impact on revenue. It provides the most complete customer journey map and attribution to show exactly how marketing drives revenue, allowing marketers to present numbers they can stake their reputation on. 81% of the customer journey happens before sales engagement, and Dreamdata reveals this full path.
Who is the target audience for Dreamdata?
Dreamdata is specifically designed for B2B marketers. The platform empowers them to answer any question on marketing's impact with traceable numbers and to analyze the performance of all marketing activities automatically.
What key features or surfaces does Dreamdata offer?
Dreamdata offers features including scalable reporting, campaign optimization, audience targeting, and conversions sync. Its key surfaces are an interactive customer journey timeline, a revenue-generating performance analyzer for channels and campaigns, and an Audience Hub for creating and syncing precise audiences to ad platforms.
How does Dreamdata use AI?
Dreamdata uses an AI-driven attribution model to analyze marketing performance. Its AI engine also reveals hidden high-intent buying signals from go-to-market data and automatically notifies sales teams on Slack and Teams.
What is Dreamdata used for and in what situations?
Dreamdata is used for B2B marketing attribution, campaign optimization, and audience activation. It is used to see ROI and attribution of go-to-market activities, improve performance across marketing channels, build and sync dynamic ad audiences with AI, and feed enriched pipeline data back to ad platforms.
What is Dreamdata?
Dreamdata is a B2B go-to-market data platform that collects, models, and activates data to reveal customer journeys, attribute revenue, and optimize marketing efforts.