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Dreamdata Connect B2B Marketing Activities to Revenue

What is Dreamdata?

Dreamdata provides a comprehensive B2B go-to-market data platform designed to connect marketing activities directly to revenue outcomes. It automatically gathers and structures data across various touchpoints, offering businesses a unified view of their customer journeys. This allows for a clearer understanding of how different channels, campaigns, and content contribute to pipeline generation and overall revenue.

The platform enables detailed performance analysis through data-driven attribution models, helping marketing teams identify the true return on investment (ROI) for their initiatives. By tracking interactions and utilizing intent signals from multiple sources, including first-party tracking and integrations like LinkedIn ads and G2, Dreamdata helps prioritize sales and account-based marketing efforts towards high-potential accounts. It also facilitates the creation and activation of custom audiences by syncing data back to advertising platforms.

Features

  • Customer Journey Mapping: Provides interactive timelines showing every touchpoint for each account.
  • Performance Attribution: Utilizes data-driven attribution models to measure the revenue impact of channels, campaigns, and content.
  • Revenue Analytics: Delivers detailed reporting on revenue, ROI, ROAS, and CAC.
  • Intent Data Revelation (Reveal): Identifies buying signals from first-party tracking, LinkedIn ads, G2, and other sources.
  • Audience Hub: Allows creation of custom audiences from go-to-market data and syncs them with ad platforms like LinkedIn and Google Ads.
  • Data Platform: Offers robust data collection, modeling, tracking, and numerous integrations (CRM, ad platforms, marketing automation).
  • B2B Benchmarking: Compares company performance against industry benchmarks based on size and ad budget.
  • Unified Ad Spend Reporting: Consolidates ad spend data across multiple platforms.

Use Cases

  • Measuring the ROI of marketing campaigns.
  • Understanding the complete B2B customer journey.
  • Attributing revenue to specific marketing channels and content.
  • Optimizing ad spend based on performance data.
  • Identifying and prioritizing high-intent accounts for sales outreach.
  • Creating targeted audiences for ad campaigns.
  • Improving alignment between marketing and sales teams.
  • Reporting marketing's impact on pipeline and revenue to stakeholders.

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