MOUNTAIN VIEW, CA --(Marketwired - May 11, 2016) - Starting today, Silicon Valley-based Natero will offer Software-as-a-Service (SaaS) businesses a unique customer success management (CSM) solution that uses an innovative predictive analytics engine to drive more proactive CSM outcomes.
Craig Soules, Founder & CEO of Natero, says that with Natero's predictive analytics component, all of the data collected about clients (from a variety of sources) can be combined using machine-learning: mathematical models that take predictive analytics to a whole new level. The result is proactive strategies that can't be defined with simple business logic. In a way, it's like predictive analytics on steroids.
Alan Schaffer, Director of Client Success at Blue Sky eLearn, a leading provider of SaaS-based learning technologies and a Natero client says, "Our goal is to retain and nurture our clients to ensure they continue to find value in our products. Natero shines by pulling in different types of data sets and applying powerful algorithms to give us deeper customer insight and valuable metrics. In turn, this helps us not only reduce churn but allows us to uncover feature opportunities our clients may not be utilizing."
"Using Natero, SaaS providers will know which of their customers are struggling and which are succeeding, allowing them to significantly increase customer retention and identify accounts that are ripe for expansion," Soules explains.
Natero pulls data from multiple sources but, unlike the competition, the platform can scale its real-time data collection without affecting its own performance (it will never "choke" on data and cause a system-wide slowdown, for example). Natero is also CRM-agnostic, another key differentiator regarding multiple data sources.
Natero's predictive alerting and depth of reporting is head and shoulders above its peers. While some other competitors talk about "predictive scoring," what they are actually saying is that they can help their SaaS clients construct health score models using a rigid, predetermined set of rules. Natero's unique machine-learning platform builds and improves models as new data arrives, offering models that automatically predict account behavior and generate actionable alerts for customer success teams.
"Our groundbreaking machine-learning engine will even notify CSMs what customer factors are triggering those alerts, which gives them a great starting point to drill into a client account and learn what is happening," Soules explains.
On the reporting side, Natero leverages every bit of a SaaS customer's data (from CRM, support and billing software) to provide highly in-depth segmentation and charting tools.
"Our primary goal is to empower customer success teams and their companies to become data-driven on an unparalleled level, which translates into a competitive advantage," says Garth Goodson, Natero's co-founder and CTO, adding that Natero clients do not need to be data experts, which is part of the beauty of the firm's value proposition. Rather, Natero collects the bulk of the data and combines and refines it so that it can put the results in front of a CSM in a consumable, actionable way.
Natero is a Silicon Valley-based Customer Success Platform for B2B SaaS companies. Founded in 2012 by veterans of big data, data science and distributed systems, Natero places actionable data directly into the hands of customer success teams through simple and intuitive interfaces, serving to maximize customer lifetime value, and improve products and processes. Natero is the only Customer Success platform to merge machine learning for predicting behavior and big data customer analytics into a single product. In 2014, the company raised $3.3m in a Series A from Merus Capital, Salesforce Ventures, Y Combinator and Andreessen Horowitz Seed. For more information, visit www.natero.com and follow @NateroEngine on Twitter.
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