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Pocus AI-Powered Go-to-Market Platform for B2B Sales Teams

What is Pocus?

Pocus offers an all-in-one platform leveraging Artificial Intelligence to enhance go-to-market (GTM) strategies for B2B sales teams. It employs AI agents that operate continuously to monitor accounts, identifying and prioritizing prospects exhibiting buying intent. These agents provide reps with timely alerts, rich account and person-level insights, and context, eliminating hours of manual research and enabling focused engagement with the most promising accounts. The platform aims to streamline prospecting and account research, helping sales representatives cut through the noise and focus on genuine opportunities.

The system is designed to be tailored to each business, utilizing unique data and insights rather than generic signals. Pocus assists reps in planning their strategy and taking appropriate actions by offering intelligent guidance and suggested actions. This approach not only saves significant time for sales reps but also contributes to building a predictable revenue pipeline by surfacing valuable opportunities and increasing overall productivity. The platform supports various GTM motions, including product-led sales, warm outbound, customer success, converting website visitors, and leveraging job switchers.

Features

  • Pocus AI: Custom AI model fine-tuned to the business using internal and external data.
  • AI Agents: Monitor accounts 24/7 and alert reps to opportunities with context.
  • Automated Account & Prospect Research: Provides rich account and person-level insights, reducing manual research time.
  • Intent Alerts: Surfaces top prospects actively showing buying signals.
  • GTM Playbooks: Enables building and execution of data-powered go-to-market playbooks.
  • Strategic Prospecting Guidance: Offers helpful alerts, context, and suggested actions for reps.
  • End-to-End Prospecting Support: Recommends relevant contacts and assists in crafting compelling outreach messages.

Use Cases

  • Streamlining B2B sales prospecting processes.
  • Automating in-depth account research for sales representatives.
  • Identifying and prioritizing leads based on buying intent signals.
  • Implementing and scaling product-led sales (PLS) strategies.
  • Executing targeted warm outbound campaigns using real-time signals.
  • Enhancing customer success through proactive expansion and retention efforts.
  • Converting website visitors into qualified leads and customers.
  • Leveraging job change data to uncover new sales opportunities.
  • Boosting sales team productivity and efficiency.
  • Building a more predictable and scalable revenue pipeline.

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