Intent data has become essential for B2B SaaS companies running account-based marketing programs. Intent signals reveal which prospects and accounts are actively researching solutions, evaluating competitors, or planning purchases. Rather than guessing when prospects are ready to buy, intent data provides visibility into buying signals. This guide identifies the best intent data providers for SaaS companies building ABM programs.
Account-level engagement scoring is a model that measures the velocity and quality of interactions from all employees at a target account across email, web, content, and events to surface accounts showing active buying committee activity and progression toward purchase.
Intent data has fundamentally transformed how UK B2B marketing teams identify and prioritise in-market accounts. In 2026, with stricter privacy regulations and evolving compliance frameworks post-GDPR, understanding how to leverage intent signals responsibly has become essential for revenue leaders across the UK enterprise market.
Predictive analytics uses historical data and machine learning to forecast future outcomes. In B2B, predictive analytics answers critical questions: Which prospects will close? Which customers will churn? Which accounts will expand? When should we reach out to maximize conversion?
Intent data is information about companies or people showing active buying interest in your product category. It captures signals that indicate someone is researching, evaluating, or preparing to purchase: keyword searches, content consumption, company announcements, hiring activity, or third-party research activity. Intent data answers the question every sales leader wants answered: "Which accounts are actually in the market for what we sell right now?"
Intent data has fundamentally transformed how UK B2B marketing teams identify and prioritise in-market accounts. In 2026, with stricter privacy regulations and evolving compliance frameworks post-GDPR, understanding how to leverage intent signals responsibly has become essential for revenue leaders across the UK enterprise market.
Intent data has fundamentally transformed how UK B2B marketing teams identify and prioritise in-market accounts. In 2026, with stricter privacy regulations and evolving compliance frameworks post-GDPR, understanding how to leverage intent signals responsibly has become essential for revenue leaders across the UK enterprise market.
Predictive analytics uses historical data and machine learning to forecast future outcomes. In B2B, predictive analytics answers critical questions: Which prospects will close? Which customers will churn? Which accounts will expand? When should we reach out to maximize conversion?
Predictive analytics uses historical data and machine learning to forecast future outcomes. In B2B, predictive analytics answers critical questions: Which prospects will close? Which customers will churn? Which accounts will expand? When should we reach out to maximize conversion?
Intent data is information about companies or people showing active buying interest in your product category. It captures signals that indicate someone is researching, evaluating, or preparing to purchase: keyword searches, content consumption, company announcements, hiring activity, or third-party research activity. Intent data answers the question every sales leader wants answered: "Which accounts are actually in the market for what we sell right now?"
Intent data is information about companies or people showing active buying interest in your product category. It captures signals that indicate someone is researching, evaluating, or preparing to purchase: keyword searches, content consumption, company announcements, hiring activity, or third-party research activity. Intent data answers the question every sales leader wants answered: "Which accounts are actually in the market for what we sell right now?"
Most account-scoring models are outdated. They rely on static firmographic data (company size, industry, geography) that changes rarely and misses the dynamic signals of buying intent. A modern scoring model blends firmographic fit with real-time intent signals and engagement metrics to predict which accounts are ready to buy now.