Buyers research, compare and shortlist vendors long before they contact sales. Our predictive intelligence engine converts buyer signals into intelligence so your teams know who to prioritize, when to act, and how to engage.
Predictive Intelligence
Convert buyer signals into intelligence you can act on.
Intelligence across the buying journey
Our Predictive Models interpret buying signals across the Signalverse and analyze your historical CRM, MAP, first-party, and third-party intent data to identify repeatable patterns that predict:
- Which accounts are most likely to buy
- When to engage them
- Who to target
By converting anonymous research into actionable buying signals before a single form is filled, our predictive models give you the intelligence your teams need to answer the questions that matter most:
- Who should I prioritize?
- What should I say?
- When should I say it?
Align Your GTM Plays to Your Buyers Journey
Rather than relying on siloed data points, our Predictive Models provide you with an ICP fit, buying stage, and persona engagement for every account and buying group member, adapting over time as account behavior changes.
The result is a clear, shared view of account priority that marketing and sales can act on together.
When you know which stage each account is in, you can align your GTM motion accordingly, from top-of-funnel campaigns for accounts in early research to direct outreach and competitive plays for accounts approaching a decision.
When teams act on 6sense qualified accounts (6QA), the results* speak for themselves:
- 5% increase in opportunities created
- 18% increase in average opportunity value
- 15% increase in average deal value
- 13% increase in win rate
No more guessing what signals mean. Our predictive models give you the intelligence to engage buyers at the right moment, with the right message, across the right channels.
*Source: 6QA vs. Non-6QA opportunity performance, “middle 60” customer data set, 2025
Perfect your timing to win more deals
Instead of hoping to catch buyers at the right moment based on a single signal, we give you the intelligence to know exactly when and where to engage.
“Knowing which accounts are in-market has allowed us to shift and be more agile in our marketing strategy. 6sense helps us focus on accounts that will move the needle.”
Explore resources
A Guide to Pre-intent Data
Introduction Meeting your customers ahead of time Intent data is the key to modern B2B selling. It empowers marketing and sales teams to identify accounts that have started searching for solutions. By flagging accounts as soon as they begin their buying journeys, intent data helps revenue teams begin outreach sooner and win more deals. But […]
How To: Identify and Influence the Entire Buying Team
Introduction Selling and marketing are harder than ever. Old-school tactics are pushing modern buyers away, leaving revenue teams frustrated, inefficient, and unable to compete. In No Forms. No Spam. No Cold Calls, Latané Conant delivers the recipe for scalable, repeatable, data-driven sales and marketing strategies that work today. In this How To, we provide a practical, […]
Buying Intent: The Future of Sales & Marketing
Introduction Buying intent transforms sales and marketing by removing guesswork and revealing which accounts are likely to buy and what’s driving their decision-making. This guide will explain what buying intent is and how revenue teams can use it to reduce go-to-market waste and achieve higher ROI. Buying intent: What is it and why is it important? Fifty-seven to 70 percent of a […]
Ways Our Operations Team Turns 6sense Data into Action
Saima Rashid, SVP of Marketing & Revenue Analytics at 6sense, discusses the critical steps necessary to turn data into insights, and insights into actions. She discusses the need for transparency and accessibility to key performance indicators (KPIs) through a centralized dashboard, which Saima describes here. One of the key benefits of using 6sense Revenue AI […]
Account Identification Guide
Introduction How do you identify your target customers? Do you use data, or rely on generalized personas and guesswork? (Spoiler alert: Data gets better results.) In this guide, we’ll explain how identifying accounts effectively can provide actionable customer insights, reduce sales and marketing waste, and activate more personalized engagement. It’s hard to take an account-based […]
Frequently asked questions
What are predictive analytics in marketing?
Predictive analytics for marketing collects data to be analyzed using predictive models that identify ideal accounts, where they are in the buyer’s journey, and what contacts make up the buying team. Marketing uses these insights to effectively target buyers at the right time in their buying stages with the right message.
What are predictive analytics for sales?
Predictive analytics for sales collects data to be analyzed using predictive models that identify ideal accounts, where they are in the buyer’s journey, and which personas make up the buying team. Sales use these insights to effectively target buyers with the right message at the right time in their buying stages.
What are examples of predictive marketing analytics?
Some examples of predictive marketing analytics are ingesting intent data as a buyer researches on your website and after predictive modeling displaying the likely buying stage of that account. Another is taking historical data of how many interactions a certain buyer requires to move to the next stage in their buyers journey and using that insight to highlight buyers that likely need more marketing touches.
What are examples of predictive sales analytics?
Some examples of predictive sales analytics are ingesting intent data as a buyer researches on your website and after predictive modeling displaying the likely buying stage of that account. Another is taking historical data of how many interactions a certain buyer requires to move to the next stage in their buyer’s journey and using that insight to highlight buyers that likely need more marketing touches.