Predictive Analytics for Sales

Focus on the very best accounts and contacts to create sustainable revenue growth. 6sense Predictive Analytics for Sales fills your pipeline with in-market accounts that are ready to engage (and buy!) without wasting effort on low-quality leads, outdated lists, or cold outreach.

Generate high-quality
pipeline every time

Smartly focus your resources on ideal buyers to build pipeline that consistently converts to revenue.

Run circles around the competition

Uncover new opportunities just as they begin their buying journey — and before your competition even knows they’re in-market.

Accelerate sales cycles & deal velocity

Engage the right members of the buying team with personalized offers and campaigns that move deals forward.

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 contacts make up the buying team.

Combine the past and present to generate future growth

6sense’s predictive AI insights are based on historical opportunity data and real-time buying signals. That means they accurately identify accounts that are most likely to convert into customers.

6sense delivers an optimized 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.

Know who to engage

Ditch the low-quality leads. Access deep insights into buyer behavior to find the accounts that fit your ICP — and are ready to engage.

Scale your sales strategy

Turn arbitrary account selection exercises into a focused sales strategy across every region, vertical, and solution segment.

Control your pipeline

Hit pipeline and revenue targets by giving sellers a steady stream of qualified in-market accounts that meet your unique criteria.

Uncover brand-new business — and win it

6sense’s intent data and predictive AI modeling uncovers net-new accounts that are signaling buying interest.

And our daily prioritized lists of in-market accounts, trending people, and recommended actions ensure sellers always know what to do next.

In just three months, PTC sourced millions in net-new pipeline from 6sense-identified accounts.

6sense also helped PTC identify 1,200 net-new accounts and 1,000 qualified leads.

Prioritize the best accounts

Keep sellers focused with daily prioritized lists of accounts and contacts that are most ready to buy right now.

Let marketing handle it

Conserve sales resources by enabling your marketing team to warm-up accounts and engage the ones that are in early buying stages.

Refine over time

6sense's machine learning continuously optimizes the AI predictive models as your opportunity data set grows and improves.

Press 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.

Accurately gauge the team's effort

Measure how well the prospecting team is doing at engaging contacts to determine if that effort is enough to continually create open opportunities.

Become your buyer's bestie

Understand B2B buyers better than ever — and discover which ones are primed for contact — with 6sense's visibility into all revenue activities across the entire buying team.

Keep 'em moving

Keep your team moving opportunities forward with AI predictions and recommended actions based on buyer persona, recent activities, and account profile fit.

“6sense has done an amazing job at accurately matching anonymous signals to accounts in our system, uncovering opportunities that we would have otherwise not seen or been able to act on.”

Michael Lamb

Director of Marketing Technology, Mitel

“Now our sales teams are confident when calling on a prospect who knows who Marathon Health is. They understand the services that we provide, and they’re actually ready to have a conversation and talk about how our services can help the employee population.”

Troy Purdue

Director of Growth Marketing, Marathon Health

“If we know where a buyer is in their buyer journey and we use that information, it’s a lot more useful in meeting users where they are and getting them to engage with our brand. We’ve seen that convert a lot higher than just doing personalization for the sake of doing personalization.”

Erin O’Neill

Website Marketing Manager, Qualtrics

“My team is able to create focused 1:1 content and messaging, reaching the right buyer at the right time and accelerating the deal by continually pushing great content to that account and buying group in the sales cycle.”

Uran Kabashi

Global Demand Generation & ABM Manager, Aprimo

Predictive Analytics for Sales Features

Account Profile Fit Prediction

Discover how similar an account is to your ICP using firmographic and technographic factors that are continuously analyzed against historical opportunity data.

Account Buying Stage Prediction

Understand where each account is in the buying process and prioritize efforts on the ones showing the highest likelihood of opening or progressing an opportunity.

Account Reach Score

Answer the question, Are we doing enough to activate and convert this account? and quickly identify in-market accounts that require additional engagement.

Contact Fit Predictions

Select the best contacts to engage based on historical persona-based activity from successful opportunities.

Contact Engagement Predictions

Understand which contacts are engaged, how and when they are engaged, and where you have whitespace (no activity).

Model Test-Backing

Self-service back-testing reveals the effectiveness and data inputs for all of your company-specific predictive models.

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 what contacts 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 buyers journey and using that insight to highlight buyers that likely need more marketing touches.

Integrations built to centralize & maximize your tech stack

6sense integrates with a wide range of sales, marketing, and operations technologies.

Improve data, connect critical systems, build more engaging campaigns, and deepen the insights that live within your existing tech stack.