Infer Launches New Predictive Behavior Scoring; Expands Sales Intelligence Capabilities

Press Release: Company Further Accelerates Product Innovation and Extends Open Ecosystem

Infer Inc., a leading predictive sales and marketing platform that helps companies win more customers, today announced several enhancements to its product portfolio. The latest improvements to Infer Glance, a sales and account intelligence application, as well as Infer’s new predictive behavior scoring for Salesforce Pardot, reflect the company’s strategy to continue deepening integrations with other enterprise systems. Infer’s open architecture makes it easy for sales reps and marketers to infuse predictive intelligence into their decision-making in order to close deals more quickly.

The significant product improvements we’ve made in 2016 reflect how we’re helping businesses reimagine automation through data science,” said Vik Singh, CEO and co-founder of Infer. “The market for AI solutions is rapidly expanding, and Infer fuels predictive adoption by serving as a guide that intelligently and continuously identifies revenue whitespace in a company’s funnel. In just a few years, I’m confident that every modern enterprise with a CRM system will also be leveraging predictive analytics and AI to supercharge its revenue growth.”

Infer Glance Sales Intelligence Powers More Productive Conversations

Infer Grows Partner Ecosystem to Help Marketers Build Best-In-Class Programs

We believe that predictive intelligence serves as the brain of the sales and marketing stack. As such, we partner with technologies all across the stack to make sure it’s easy for our customers to fully power any workflow with predictive for maximum business impact. Today, we’re happy to share that Infer has officially joined the Oracle Marketing AppCloud and Terminus ABM Cloud ecosystems — extending upon our long-term collaboration with companies like Salesforce, Marketo and others.

O_MarketingCloud_clr

 

The ABM Cloud for Salesforce partner program is helping marketers understand the MarTech software product landscape and select best-in-class tools across functional categories to implement account-based marketing programs at scale. Our integration with Terminus lets marketers measure the quality of their ABM programs in real-time, enabling them to quickly fine-tune messaging and channels for maximum effectiveness and efficiency.

Infer Named a 2016 CRM Market Rising Star

2016 CRM Market Rising Star

Infer is honored to be named a 2016 CRM Market Rising Star! The Market Awards aim to recognize leaders in the CRM industry, and are selected based on a composite score that includes revenue, company growth, market share, customer wins, reputation for customer satisfaction, depth of product functionality, and company direction. You can read the full write-up on Infer here, or below.

The Risks of Blending Customer Signals from Disparate Sources

Originally Posted on Data Informed

fit vs behavior

One of the more perilous steps in building a data model is determining the right signals to include. When it comes to business-to-business customer analytics, there’s a wide range of signals to choose from – a company’s business model, technology vendors, relevant job postings, public filings, social presence, website activities, marketing engagement, third-party intent data, and other attributes.

But some data scientists forget that all of these signals aren’t created equal, and they shouldn’t be treated the same.

Infer Releases New Predictive Behavior Scoring for Oracle Eloqua

Press Release: Deep Integration Between Marketing Automation and Predictive Solutions Helps Growing Companies Optimize Marketing and Sales

Infer Predictive Behavior Scoring for Oracle Eloqua

 

Infer Inc., a leading predictive sales and marketing platform that helps companies win more customers, today announced the most advanced predictive behavioral modeling solution for the Oracle Eloqua platform. Infer’s behavior scoring helps companies dramatically increase the impact of their sales and marketing programs by prioritizing business-to-business deals that are most likely to close quickly, and by continuously optimizing campaign effectiveness and pipeline velocity. After proven success with early customers, Infer is rolling out its updated behavior scoring solution for any company that uses the Oracle Eloqua marketing automation system.

Surfacing Gold from Nurture Programs with Predictive Behavior Scoring

Many companies that enjoy a healthy inbound lead flow push their top leads to sales reps, and send lower quality leads into a nurture database for marketing follow up. But as these archived leads accumulate, it becomes increasingly difficult for the marketing team to monitor all aging leads and find accounts that have re-engaged. One best practice is to add predictive behavior scoring that can model the full spectrum of activity data being collected by your marketing automation platform. With this insight, you can predict the likelihood of an outcome (e.g. conversion) within a set time period (e.g. next three weeks).

Over the years we’ve had the opportunity to work with amazing companies like Atlassian, Concur and Zendesk that are part of the movement shaping the future of predictive for sales and marketing. This playbook highlights how these companies are resurfacing gold out of nurture by identifying previously disqualified prospects that are worth another look.

predictive marketing behavior scoring

What’s the Difference Between Traditional and Predictive Behavior Scoring?

This is a question we get asked a lot. 

Instead of manually adding points for a given action, a predictive behavioral score mines the full spectrum of activity-data being collected by your marketing automation platform including every email click, website visit, and social engagement. Machine learning is used to weigh each signal appropriately in order to predict the likelihood of an outcome (e.g. conversion) within a set time period (e.g. next three weeks).

Learn the difference betweem tradition and predictive behavior lead scoring
To help explain these concepts in more detail we’ve put together a new eBook. Inside you’ll learn:

  • The six most common use cases for behavior scoring
  • Best practices for operationalizing your fit and behavior scoring
  • Why predictive behavioral models are more powerful than the scoring you’ll find in traditional marketing automation platforms

Download your copy here >