Product Introduction

1. Knowledge is a person-level sales intelligence platform that analyzes behavioral data and psychometric profiles to identify in-market buyers and optimize sales strategies. It tracks prospect activities across 7,000+ websites and applies personality models like DISC, RIASEC, and OCEAN to generate actionable insights for sales teams. The platform enables users to prioritize high-intent leads and provides tailored coaching for customer engagement.
2. The core value lies in transforming cold outreach into targeted conversions by combining real-time intent signals with psychological profiling. It eliminates guesswork in lead prioritization by revealing prospects’ research patterns, competitor comparisons, and buying signals. Sales teams gain predictive analytics to anticipate customer needs and align outreach strategies with individual behavioral tendencies.

Main Features

1. The Buyer Journey feature tracks prospects’ digital footprints across 4 billion data points, including specific websites visited and time spent on competitor comparisons. It identifies buying signals such as repeated visits to pricing pages or technical documentation downloads. This enables sales teams to engage prospects at precise decision-making stages with contextually relevant messaging.
2. Psychometric profiling integrates DISC (Dominance, Influence, Steadiness, Compliance), RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, Conventional), and OCEAN (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism) models to assess prospect personalities. The system calculates compatibility scores up to 97% by analyzing communication styles, risk tolerance, and decision-making patterns. Sales teams receive actionable recommendations to adapt their negotiation tactics and presentation styles accordingly.
3. AI-powered conversation recommendations generate real-time scripts for cold calls, emails, and meetings based on prospect profiles. The system suggests data-driven talking points, such as emphasizing ROI metrics for compliance-focused buyers or highlighting innovation for openness-oriented prospects. It also provides warnings against ineffective approaches, such as avoiding vague statements with detail-oriented decision-makers.

Problems Solved

1. The platform addresses inefficient lead targeting by replacing demographic filters with intent-based scoring that prioritizes prospects actively researching solutions. Traditional CRMs miss 68% of high-intent buyers who don’t fill out forms, while Knowledge detects their digital research activities. This reduces sales cycles by 40% and increases meeting bookings by 5x compared to industry averages.
2. It serves B2B sales teams struggling to personalize outreach at scale, particularly in cybersecurity, enterprise software, and SaaS industries. Marketing leaders use it to align campaigns with verified buyer journeys, while sales managers leverage it to train reps on psychological engagement tactics.
3. A typical use case involves identifying a CISO researching cloud security benchmarks across Gartner, DarkReading, and competitor blogs. The platform alerts sales teams to this high-intent signal, provides the prospect’s psychometric profile (e.g., 0.8 Compliance score), and recommends emphasizing integration capabilities with existing tech stacks during outreach.

Unique Advantages

1. Unlike intent data platforms limited to firmographic signals, Knowledge combines behavioral tracking with clinical-grade personality assessments validated across 2.3 million buyer interactions. While competitors like Bombora track account-level trends, Knowledge provides individual-level insights showing exactly which employee researched specific product features.
2. The platform’s proprietary algorithm correlates online behavior patterns with psychological traits using machine learning trained on 12 years of sales conversion data. For example, prospects who read 3+ case studies within a week and visit compliance documentation pages score 89% higher in Conscientiousness traits.
3. Competitive differentiation comes from direct integration with sales workflows via Chrome extension and Salesforce app, delivering real-time profile alerts during prospect calls. The system reduces deal cancellation rates from 35% to 5% by ensuring messaging alignment with buyers’ subconscious preferences and documented research behaviors.

Frequently Asked Questions (FAQ)

1. How does Knowledge identify in-market buyers? The platform monitors prospects’ visits to 7,000+ industry-specific websites, including analyst reports, review platforms, and technical forums. It triggers alerts when a user views competitor pricing pages, downloads whitepapers, or spends 8+ minutes on solution comparison guides.
2. Can it integrate with existing CRM systems? Knowledge offers native integrations with Salesforce, HubSpot, and Microsoft Dynamics through API connections. It automatically enriches CRM records with psychometric scores and updates lead priority rankings based on real-time intent signals.
3. What data sources power the psychometric profiles? Behavioral data is aggregated from consented web tracking, while personality insights derive from machine learning analysis of communication patterns in emails, social media posts, and public professional content. The models are validated against 410,000 closed deals to ensure predictive accuracy.
4. How does the platform ensure data privacy? All behavioral data is collected through GDPR-compliant methods using anonymized identifiers until users opt into engagement. Psychometric profiles are generated without storing sensitive personal information, focusing solely on professional behavioral patterns.
5. What ROI can users expect? Clients report 74% of leads progressing to next-stage meetings within 14 days, with 7x pipeline generation compared to traditional prospecting. Enterprise users average $100M+ in identified opportunities quarterly through the platform’s intent scoring system.