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

It has traditionally been difficult for companies to determine the addressable market or predict the right accounts to focus on in new regions or verticals because they have minimal or no customer history in those areas. As a result, many salespeople and marketers have to rely on gut instinct or carry over generalized predictions from an established market, rather than leverage more suitable predictions for the new market. Using Infer Lenses, companies gain different views into a single predictive model, including accurate lead scores that can inform all go-to-market efforts and ultimately help increase overall win rates and top-line revenue as their business grows.

“With Infer Lenses, we’ve been able to leverage our predictive model to rapidly expand into new markets around the world, even before we’ve amassed tons of local data to guide us,” said Chris Bondhus, director of demand generation at Brightcove. “In North America, EMEA, APAC and Japan, we can use Infer to figure out who our best-fit prospects are, and really focus our marketing and sales efforts.”

As a business accumulates more data, Infer can also build separate models to better support a product line, market segment, or geography. As an example, software maker Atlassian sells an instant chat service called Hipchat, developer tools including Bitbucket, and agile issue tracking software in JIRA. After analyzing the company’s data, Infer and Atlassian determined that it was most effective to deploy multiple predictive models, each with its own features and weightings which Atlassian augments with its internal data and processes.

“We’re growing quickly and need the ability to be able to accurately forecast our sales pipeline across different markets and products,” said Christopher Seaman, data scientist at Atlassian. “Infer has built us a set of powerful predictive models that we combine with proprietary signals and machine learning to generate insights about our marketing effectiveness and the characteristics of our customer base.”

About Infer

Founded in 2010, Infer delivers predictive business applications that help companies win more customers. It leverages proven data science to rapidly model the untapped data sitting in enterprises, along with thousands of external signals from the web. Customers include several large businesses and numerous high growth companies like AdRoll, Cloudera, Concur, New Relic, Nitro, Tableau, Xactly and Zendesk. Headquartered in Palo Alto, California, Infer is funded by leading investors, including Redpoint Ventures, Andreessen Horowitz, Social+Capital Partnership, Sutter Hill Ventures and Nexus Venture Partners.

Additional Resources

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.

Salesforce Analytics Cloud cropped

Jim Herbold Joins Infer as Chief Revenue Officer

Press Release: Predictive Pioneer Adds Former Box Sales Executive to Drive Hyper-Growth

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced the addition of former Box executive Jim Herbold as its chief revenue officer. Herbold brings deep enterprise sales expertise from his time as Box’s executive vice president of sales, where he grew the company’s revenue from under $1 million to well over $100 million in annual recurring revenue. Strengthening Infer’s executive bench, Herbold will help lead the company through its next stage of explosive growth.

Infer More than Doubles Headcount to Meet Exploding Demand for Predictive Sales and Marketing Applications

Press Release: Company Builds Out Customer Success Team to Help Unlock Revenue with Predictive Lead Scoring

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced a 130 percent increase in its employee base since the start of 2014. This year, Infer has brought on experts with deep, data-centric operations experience at leading consumer and enterprise companies in order to scale its powerful predictive lead scoring solution to thousands of companies.

Infer Customer Referral Program

At Infer, we’re always looking for innovative ways to spread the word and share our customer’s amazing success stories. So, if you know someone who could benefit from predictive lead scoring, tell them about Infer and explain why it’s a home run initiative.

Infer Referral Program

We’ve added some of our best customers through referrals, so in order to show our appreciation to customers who refer Infer, we’ve rolled out a fun program. If you make an introduction to a person or company who’d be a good fit for Infer, we’ll send both of you a pair of our custom Nike shoes.

Infer Grows Predictive Scoring Customer Base by 150 Percent Quarter-Over-Quarter

Press Release: Hyper-Growth Companies Leverage Infer to Power Data-Driven Sales and Marketing

Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced a 150 percent increase in its customer base over the past quarter. Infer is now computing thirteen million predictions every month for some of the fastest-growing companies on the planet, including new customers such as Cloudera, Mixpanel, Optimizely, Yesware and ZipRecruiter.

Customer Logos

“We’re organizing for rapid scale, and Infer’s predictive scoring is critical to our success,” said Matt Cooley, chief revenue officer at Mixpanel, a leader in mobile analytics. Rafael Alenda, vice president of online and brand marketing at software analytics company New Relic, added, “Infer scales nicely with our hyper-growth business. In short order, it has generated hundreds of thousands of predictions that have helped drive net new customers and revenue.”

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.

Announcing Infer Smart Signals™

Infer-Smart-Signals

Since we launched Infer, we’ve often been asked whether we’d reveal the awesome signals that go into our predictive lead scoring engine. Over these last three years, we’ve honed our core models and been relentless about finding new sources of data – striking partnerships, crawling the web, and amassing a library with thousands of unique signals. We’ve done all of this primarily to further improve the accuracy of our scoring. However, we recognize that these signals can be applied to lots of other sales and marketing use cases, so today we’re happy to announce the availability of our Infer Smart Signals™ service.

Infer Smart Signals give you a richer, fuller view of your prospects with details from our huge library of signals. You can add more insight into your leads, contacts, or accounts by pulling information that we’ve discovered to be highly predictive – like company size, technology vendors, web traffic, business model, industry, spam detection, etc. – right into your CRM or marketing automation systems.

Infer Delivers Glengarry leads

Pando Daily

Originally posted on Pando Daily by @mcarney

The movie “Glengarry Glen Ross” is famous for its desperate salespeople who fight over access to the premium Glengarry leads, knowing they’ll make the difference between success and failure. “These are the Glengarry leads. And to you they’re gold, and you don’t get them,” Alec Baldwin’s character taunts at one point. This scene may be a work of fiction, but a similar scenario plays out daily inside sales organizations around the world, although with far less transparency.

Leads don’t come in from marketing departments with handy ratings or categorizations that say, this lead has a 75 percent likelihood of turning into a sale, but this lead has only a 15 percent chance… Continue Reading