
Cargo
Cargo is a CDP for sales teams, providing access to qualified accounts.
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Introduction
Cargo is a modern CDP (Customer Data Platform) specifically designed for sales teams. It serves as a revenue architecture that enables sales reps to access qualified accounts in large quantities.
Key Features
Segmentation: Efficiently segment leads based on various criteria.
Enrichment: Enhance lead information by gathering data from multiple sources.
Lead Scoring: Assign scores to leads to prioritize and focus on high-quality prospects.
Lead Assignment: Distribute leads to sales reps based on territories or expertise.
Orchestration: Automate revenue operations and workflows.
Data Integration: Connect and control all tools and data in one place.
AI-powered Sales Copilot: Generate sales notes at scale for meaningful conversations with prospects.
Frequently Asked Questions
What is Cargo?
How to use Cargo?
Do I need to have a data warehouse to use Cargo?
Do I need to code stuff to use Cargo?
How could I use AI within Cargo?
What if there are tools Cargo does not support natively?
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Use Cases
- Scaling Sales: Provide sales reps with qualified leads at scale to maximize their productivity and effectiveness.
- Data Democratization: Abstract the data warehouse to make it user-friendly for non-technical personnel.
- Pipeline Growth: Utilize Cargo as a pipeline growth engine through its Customer Data Platform designed for sales teams.
How to Use
To use Cargo, sales teams can follow these steps: 1. Connect: Integrate all relevant tools and data into one centralized hub. 2. Segment: Easily segment leads based on various criteria such as demographics, behavior, or engagement. 3. Enrich: Enhance lead information by gathering data from different sources. 4. Score: Assign scores to leads based on their quality and likelihood to convert. 5. Assign: Distribute leads to sales reps based on their territories or expertise. 6. Orchestrate: Build automated workflows to streamline revenue operations. 7. Activate: Empower sales reps to focus on selling by automating revenue operations.