Predictive Sales Analytics Software
It's like rocket fuel for your demand efforts.
Equip your team for stratospheric growth with AI-driven predictions that identify ideal accounts, where they are in the buying journey, and which personas make up the buying team.
Combine learnings from the past & present to accelerate future growth
Our AI predictions are based on years of historical opportunity data, combined with real-time buying signals, to identify accounts most likely to convert into customers.
6sense delivers an optimized B2B prospecting and selling experience by eliminating the guesswork around fit, timing, and disconnected messaging.
After using 6sense for three months, HighRadius increased its engagement by 160%.
The team also saw a 40% increase in 6sense-qualified accounts.
Uncover brand-new business — and win it
6sense’s intent data and predictive AI modeling uncovers net-new accounts that are signaling buying interest.
Our daily prioritized lists of in-market hot accounts, contacts with engagement trending up or down, and recommended actions ensure sellers always know what to do next.
In just four months, PTC sourced $18M in net-new pipeline from 6sense-identified accounts.
6sense also helped PTC identify 1,200 net-new accounts and 1,000 qualified leads.
Put the pedal to the metal
Dramatically reduce the average time to close a deal by hyper-focusing efforts on the accounts most likely to convert.
Further accelerate the deal by engaging the right members of the buying team with personalized offers and campaigns.
Showpad improved close rates by 289% after using 6sense to prioritize its efforts.
Seventy-six percent of Showpad's qualified opportunities were sourced by 6sense.
Predictive Analytics for Sales Features:
Frequently Asked Questions
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.
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.
“Knowing which accounts to prioritize is an ongoing challenge for SDR teams. With the buyer intent and predictive modeling insights from 6sense, the guessing game becomes a strategic game plan for our reps.”
Director of Sales Development, Ingeniux
“With 6sense, we are able to give sales priority, so they have time to spend on those accounts that have a higher intent to purchase. That drives efficiency.”
Chief Marketing Officer, Acronis
“Taking the guesswork out of sellers’ lives is probably the biggest win. They can now focus on qualifying prospects instead of trying to find prospects to qualify.”
ABM Manager, Storyblok
“The word is out that 6sense can help uncover and land deals, even help differentiate us with partners. We just kicked off a new competition in partnership with 6sense to award BDRs every two weeks for meetings booked using 6sense!”
Vice President of Marketing, Five9
Integrations built to centralize & maximize your tech stack
6sense already integrates with a wide range of sales, marketing, and operations technologies that your team uses everyday.
Connect critical systems, build more engaging campaigns, and deepen the insights that live within your existing tech stack.
Ready to see 6sense in action?
Activate relevant and efficient audience targeting, with industry-leading account identification, intent data and predictive models.