Infer Named a “Cool Vendor” by Gartner

Predictive Leader Powers Smarter Sales and Marketing by Pinpointing Buying Signals

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Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced it has been included in Gartner Inc.’s list of “Cool Vendors” in the “Cool Vendors in Tech Go-to-Market, 2015[i]” report. Vendors selected for this report are considered innovative, impactful and intriguing in providing applications that optimize technology marketing, sales or channel management.

Infer’s New Behavior Scoring Predicts Imminent Buyers with Unprecedented Accuracy

Press Release: New Relic Boosts Win Rates by Using Infer to Model Nearly 10 Million Monthly Marketing Automation Signals and Uncover Prospects Who Will Convert within Three Weeks

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced the general availability of its behavior scoring solution, which helps sales and marketing teams predict which prospects will convert in the next three weeks. Infer is the first company to extensively mine the full spectrum of detailed activity data that is summarized in marketing automation platforms, and use advanced machine learning and predictive analytics to produce highly accurate behavior scores. Already delivering results for several rapidly growing businesses like AdRoll, Chef and New Relic, Infer has generated over 30 million behavior scores for New Relic alone by modeling 47 million activity records.

Take a Listen to “Moneyball for Marketing”

This week our CRO, Jim Herbold, got a chance to sit down with B2B marketing thought leader, Glenn Gow, for his popular Moneyball for Marketing podcast.

Jim Herbold

Jim and Glenn talked about all things predictive – including marketing use cases for predictive intelligence, real world success stories, and four B2B barriers to predictive analytics adoption that are rapidly disappearing. Check out this excerpt from their lively discussion…

Glenn: Tell us an example of what companies are doing in the real world and how they’re taking advantage of predictive analytics.

Jim: Well, there’s an easy example I can speak to. I was the first customer of this company Infer when I worked at Box. When I was running sales at Box, I had the luxurious challenge of dealing with very large lead flows. We had a freemium aspect to the business. We also had a very vibrant free trial aspect to allowing people to get into our service pretty quickly. So, very large flows and leads, we’re talking tens of thousands and I could never afford to apply a lead qualifier to plow through all of those leads systematically over time. I needed a way to find the proverbial needle in a haystack and I started working with Infer.

Infer Helps Leading B2B Companies Accelerate Expansion into New Markets Using Predictive Analytics

Press Release: Companies Like Brightcove, Atlassian and Optimizely Leverage Infer Models to Predict Winning Customers across Multiple Regions, Products and Industries

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced that businesses such as Brightcove, Atlassian and Optimizely have used Infer’s “Lenses” solution to successfully accelerate expansion into new geographies, industries and products. Infer Lenses extrapolate market-specific predictive scores from existing Infer models, providing a faster and more accurate way for a company to identify top prospects in new markets.

“We’ve worked with countless companies from early stage to IPO and beyond, and have seen how they’ve expanded into new markets to grow their business,” said Vik Singh, co-founder and CEO at Infer. “With Infer Lenses, we leverage all of a company’s great learnings from other markets and tune their predictive scores so they are useful and actionable for a new region or industry, even if there’s no customer data there yet. This unique service is a huge breakthrough in helping companies scale, and it’s something Infer uniquely provides.”

Infer Lens

Where are You on the Path to Predictive?

Going into 2015, experts agree that predictive analytics will provide differentiation to companies in increasingly competitive markets. Now that these tools are readily available to businesses of all sizes, salespeople and marketers need to make the leap from being simply data-driven to being fully predictive-driven. So, where are you on this path?

As any organization grows, it naturally progresses towards greater data sophistication, which increases the efficiency at which you can operate. In sales and marketing, we typically see five levels of customer relationship management (CRM) and marketing automation (MA) maturity, and at each stage customer insight grows and automation increases:

Predictive Intelligence

The Rise of the B2B Predictive Marketer

Marketers have always been a curious bunch. Since Nielsen started conducting formalized surveys in the 1920s, there has been a long history of consumer-based market research that helped explain buyer personas, identify propensities to purchase, and explore the psychology behind the overall journey. Much later, and driven by the advent of the web, companies like Amazon, Target, Netflix, and Google took advantage of the explosion in new data-points to create robust recommendation engines using predictive analytics. The idea was to use statistical models examining historical behaviors to anticipate possible future actions. So if Pandora can suggest which musical artists a user is likely to enjoy based on listening patterns, why is the equivalent in B2B sales and marketing only coming into recent fruition?

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Infer Raises $25 Million to Fuel Leadership in Predictive Intelligence

Press Release: Series B Funding from Redpoint Ventures Will Help Infer Meet Exploding Demand for Predictive Marketing and Sales

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced a $25 million Series B funding round led by inside investor Redpoint Ventures, bringing the company’s total financing to $35 million. Infer will use the funds to aggressively accelerate its mission of bringing predictive analytics to all types of sales and marketing organizations. Since the company’s launch just eighteen months ago, it has signed an impressive roster of enterprise customers – including AdRoll, Cloudera, New Relic, Optimizely, SurveyMonkey, Xactly and Zenefits – and grown revenue bookings 150 percent quarter over quarter.

Infer - Model Overview

“We’ve sparked a data revolution that goes way beyond lead scoring. Our predictive platform is helping enterprises achieve the same consumer-grade data intelligence as companies like Google and Amazon, and delivering big wins for our customers — like 4X conversion rates and 3X deal sizes,” said Vik Singh, co-founder and CEO of Infer. “Given our growth and leadership in the market, we were very fortunate to receive considerable VC interest from both outside and inside investors. We couldn’t be happier to further align Infer with a great partner like Redpoint so we can help every company out there drive its next phase of growth.”

Infer Joins New Salesforce Analytics Cloud Ecosystem to Advance Predictive-First Sales and Marketing Intelligence

Press Release: Infer’s predictive intelligence platform harnesses the power of Salesforce Analytics Cloud to give business users accurate, forward-looking sales and marketing insight on any device

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced it has joined the Salesforce Analytics Cloud ecosystem. Infer helps businesses predict and prioritize the highest potential sales and marketing prospects by using advanced data science and external signals from the web. Many fast-growing companies – including AdRoll, Box, New Relic, Optimizely and Xactly – already use Infer Scores inside of their Salesforce Dashboards to unlock revenue. Salesforce Analytics Cloud now empowers Infer’s customers with a whole new level of insight across the sales and marketing funnel.

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Your Dreamforce 2014 Reading List

DreamforceArguably one of the hottest cloud events of the year is quickly approaching, and like many folks we’re gearing up for another exciting Dreamforce in San Francisco this month. With lots of Salesforce-related buzz going around, including rumors of an Analytics Cloud announcement, we thought we’d share a reading list to help everyone get up to speed. Here are a few articles that will get you ready for some quality Dreamforce networking:

Marc Benioff’s leak of the imminent Salesforce Analytics Cloud announcement probably peaked your interest. Check out these thoughts from our head of marketing, Jamie Grenney, about whether this move will shake up the predictive space.

“Salesforce is putting the spotlight on the data-driven sales and marketing movement, and asking companies to re-imagine how they operate based on data. While rear-view analytics are great, they can be even better when complemented with forward-looking predictions.”

Salesforce’s recent acquisition of RelateIQ is sure to be another hot topic at Dreamforce. Read what our CEO, Vik Singh, had to say about it in VentureBeat. Feel free to share your thoughts below about whether Salesforce is really ready to integrate predictive capabilities.

“As the world moves to predictive, the big question is if these automation players can integrate predictive properly. Is Salesforce.com ready to make the hard trade-offs to support predictive-first by designing a system around data intelligence? Or will third parties be able to innovate faster outside the core?”

Vik also recently expounded upon the Predictive-First” revolution in TechCrunch, addressing how this new era of applications is changing enterprise software. His article is a great read for anyone following this space.

“By focusing on predictive as your key product differentiator, you can more easily prioritize a minimum viable product that is intuitive and powerful.”

Top 10 Data Science Thought Leaders Who Are Influencing Predictive Scoring

Top 10 Data Science Thought Leaders Who Are Influencing Predictive Scoring

In tandem with our recognition of the many experts contributing to today’s discussions around CRM, marketing technology and general marketing and sales best practices, we’ve compiled the following list of influencers in the world of data. We always enjoy hearing what these brilliant data science and predictive analytics thought leaders have to say.

  • Keith Bigelow, Salesforce SVP – Keith has a wealth of knowledge to contribute from his many years in the business intelligence space, so it’s no surprise that Salesforce has tapped him to lead its big data and analytics group.
  • Allen Bonde, Digital Clarity Group – And early proponent of data-driven marketing, Allen is a data scientist turned CMO turned analyst. He now works with clients to gain better market insight through what he calls “Small Data,” i.e. timely, meaningful insights derived from big data.
  • Jeff Hammerbacher, Cloudera founder & Chief Scientist – After building the first formal data science team at Facebook, Jeff is now a powerful advocate for bringing consumer Web data innovations like Hadoop into mainstream businesses.