Predictive Marketing Analytics
Create predictable revenue growth by focusing on the best accounts and contacts. 6sense Predictive Analytics predicts where buyers are in their journeys and focuses your attention on those most likely to buy — without form-fills, sending spam, or wasting effort.
Know Who to Target, When, and Why
Align sales and marketing efforts with AI-driven predictions that identify ideal accounts, where they are in the buying journey, and what contacts make up the buying team. This creates actionable insights that fuel demand and accelerate deals.
Run unique plays for each buying stage
Use 6sense AI predictions to know exactly where your buyers are in their process to tailor outreach to their specific situation.
Remove the guesswork around timing, wasted efforts and asynchronous messaging to provide a better buying experience.
HighRadius increased engagement by 160% within 3 months of 6sense.
The team also saw a 40% increase in 6sense-qualified accounts.
Eliminate guesswork from lead scoring
Use real-time data about your buyers to understand their buying intent and current purchasing stage.
Ditch arbitrary lead scoring in favor of deep insights about buyer behavior that leads to better engagement and better results.
PTC sourced millions in net-new pipeline from 6sense-identified accounts in 3 months.
6sense also helped PTC identify 1,200 net-new accounts and 1,000 qualified leads.
Get into deals earlier — and close them faster
Get alerted to the accounts that are just beginning their buying journey and start engaging them sooner — before your competition even knows they’re in-market.
Build better relationships by delivering a personalized experience tailored to your buyers from the start of their process to the day they sign on the dotted line.
Showpad improves close rates by 289% using 6sense to prioritize its efforts.
Seventy-six percent of Showpad's qualified opportunities were sourced by 6sense.
“It was interesting and valuable to see 6sense’s ability to continuously machine learn and improve the predictive model as we clean and improve our dataset. That was definitely a differentiator for us.”
Sr. Manager, Marketing Operations, SailPoint
“When we went through Predictive Lead Modeling, we saw that 35% of our lead volume really converted less than 1% of the time. Those leads that Predictive Lead Scoring deemed As and Bs converted 2-3x the average.”
Vice President of Marketing Operations, Qlik
“Knowing which accounts to prioritize and invest more resources on 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
Predictive Analytics Features:
Frequently Asked Questions
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.
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.
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.
Ready to see 6sense in action?
Activate relevant and efficient audience targeting, with industry-leading account identification, intent data and predictive models.