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.”
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.”
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.