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What is Koala?
Koala provides a sales intelligence platform leveraging agentic AI to enhance the efficiency and effectiveness of sales representatives. It focuses on helping teams prioritize the most significant engagement signals, qualify potential accounts, and manage interactions from initial contact through to closing deals. The platform achieves this by unifying diverse first-party and third-party data signals, drawing from over 30 signal sources and enrichment providers. This integration offers a comprehensive view of prospect activity and intent, eliminating data silos previously spread across various systems.
The system analyzes historical performance to identify successful sales strategies, allowing teams to encode these 'winning plays' for repeatable success and consistent lead follow-up. It presents AI-enriched and pre-qualified leads within a unified interface, organized by specific plays, enabling reps to focus their efforts more strategically. Furthermore, Koala incorporates AI-driven custom research capabilities and facilitates personalized outreach development, integrating with major Sales Engagement Platforms (SEPs) and allowing direct email sending from the platform, ensuring that sales interactions are both scalable and maintain a human touch.
Features
- Agentic AI: Powers lead prioritization, account qualification, and engagement management.
- Data Unification: Consolidates first-party and third-party signals from 30+ sources.
- Account Fit & Intent Scoring: Scores accounts based on fit and buying intent signals.
- Winning Play Identification & Encoding: Analyzes past successes to replicate effective sales strategies.
- Unified Lead View: Presents AI-enriched, pre-qualified leads in a single, organized interface.
- AI Custom Research Agents: Leverages AI to perform tailored research on leads and accounts.
- Outreach Strategy Coach (AI): Provides AI-driven guidance for developing compelling outreach messages.
- Integrations: Connects natively with CDPs, Warehouses, product analytics, CRMs (HubSpot/Salesforce), and SEPs.
Use Cases
- Prioritizing high-intent sales leads.
- Qualifying potential accounts effectively.
- Unifying disparate sales and marketing data signals.
- Identifying and replicating successful sales strategies.
- Streamlining lead management for sales representatives.
- Performing AI-driven research on prospects.
- Developing personalized and scalable sales outreach.
- Tracking buyer intent and website visitor activity.
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