Account-based attribution model
Unifies website activity and go-to-market data by account, ties touchpoints to revenue, and supports custom definitions for touchpoints, pipeline stages, and attribution logic.
Dreamdata
Freemium
B2B attribution and GTM analytics platform with account-based data and AI tools.
O que é Dreamdata?
Dreamdata is a B2B attribution and go-to-market analytics platform built around an account-based data model. It unifies website activity and go-to-market system data, connects touchpoints to revenue, and supports analysis from first interaction through closed-won business. Teams can define touchpoints, pipeline stages, and attribution logic to reflect their own operating model.
The platform combines attribution reporting with activation workflows and AI options. Users can analyze marketing impact, create audiences from go-to-market signals, sync offline conversions to advertising platforms, notify sales about engaged accounts, and ask questions about performance through the Analytics Agent or an MCP Server. A Data Warehouse add-on supports custom agents using Dreamdata's documented account-based schema.
Commercial scope matters: advanced Activation and the Data Warehouse are add-ons, and available features and volumes depend on the selected plan.
O que Dreamdata pode fazer?
Attribution and ROI reporting
Measures marketing impact with attribution models, revenue and content analytics, and reporting for metrics such as ROI and ROAS. AI-generated summaries help users review reports quickly.
Audience activation
Builds audiences from go-to-market data and syncs them daily to major advertising platforms. AI signals can identify high-intent accounts for sales follow-up.
Conversion syncs and notifications
Sends enriched pipeline data to advertising platforms as offline conversions and notifies sales teams about highly engaged accounts through Slack and Teams.
AI access to GTM data
The Analytics Agent answers questions in plain English and shows the report configuration behind results. The MCP Server makes Dreamdata data available in an existing large language model.
Data controls and maintenance
Includes event building, custom UTM mapping, scheduled data models, custom data sources, data cleaning, deduplication, standardization, and ongoing data testing.
Casos de uso
“Measure marketing contribution to revenue”
Marketing and revenue teams can trace activity across the B2B customer journey, compare attribution approaches, and review ROI or ROAS using shared definitions.
“Create revenue-focused advertising audiences”
Demand generation teams can use account and buying-intent signals to build audiences and send them to advertising platforms for more targeted activation.
“Route buying signals to sales”
Sales and marketing operations can identify highly engaged accounts from combined go-to-market data and deliver alerts in Slack or Teams while interest is active.
“Analyze performance with AI”
Marketers and operations teams can ask questions in plain English, receive a report, and inspect its metrics, filters, date range, and attribution configuration.
“Support custom GTM agents”
Data and analytics teams can use the Data Warehouse add-on and documented schema to build custom agents with control over how Dreamdata's account-based model is queried.
Perguntas frequentes
Is there a free Dreamdata plan?
Yes. Free costs $0 per month and includes foundational B2B analytics, company identification, an audience builder and Slack/Teams notifications. Listed limits are two months of user history, five seats, three stage models, two notifications and one sync. The free monthly tracked-user limit also applies.
What is included in the advanced plans?
Advanced offers custom pricing and volumes, advanced attribution, data controls and full onboarding with dedicated customer-success and technical support. Activation and Data Warehouse are add-ons, rather than every capability being included in the base package. SCIM is also an add-on; SSO and SAML are listed under advanced data controls.
Can Dreamdata be used with an existing large language model?
Yes. The MCP Server builds and analyzes reports in an existing LLM using Dreamdata’s account-based model and semantic layer. The native Analytics Agent works inside Dreamdata. Data Warehouse is an add-on for custom agents, with a documented schema rather than the semantic layer.
How does Dreamdata make AI results reviewable?
The Analytics Agent and MCP Server use Dreamdata's semantic layer for metric definitions and analysis. Users can inspect report configuration, including metrics, filters, date range, and attribution, to verify an answer.
Do I need a credit card to start?
No credit card is required to start Free or the trial. Free access is subject to the monthly tracked-user limit or an upgrade. MTUs are unique monthly tracked users across your go-to-market assets, such as websites and marketing automation systems.
Are AI questions charged separately?
The native Analytics Agent has no per-question charge or credits when it is included in your plan. MCP and custom Data Warehouse agents use your chosen LLM, so any token usage belongs to that separate setup; it is not covered by a blanket promise of free AI.
What does a team manage when building a custom agent?
Data Warehouse exports Dreamdata’s unified account-based model to your own warehouse. Setup and maintenance need data-engineering resources. Its documented schema guides queries, but your team owns the agent, verification and interpretation. For the native Agent or MCP, inspect reports in Dreamdata’s configurator rather than treating an AI answer as an automatic guarantee.
Informações rápidas
- Category
- B2B attribution and GTM analytics
- Primary users
- Marketing, revenue operations, sales, and data teams
- Core data model
- Account-based model connecting GTM touchpoints to revenue
- AI options
- Analytics Agent, MCP Server, and custom agents through the Data Warehouse add-on
- Free plan
- Available at $0 per month; usage and feature limits apply
- Website
- dreamdata.io
Análise de tráfego de Dreamdata
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 74
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