Predictive Analytics SaaS predicts subscriber behavior.
October 30, 2013 -
Offering customizable, open source Java solution, Software as a Service Tenant Analyzer predicts subscriber behavior based on flexible data model and predictive analytics engine. Program analyzes and predicts potential churn risk and rate for SaaS and E-commerce tenants, helping CFOs and CROs gain actionable insights, such as proper targeting of short term effort at retaining large, at risk tenants; and proper allocation of sales and marketing investments in best performing tenant segments.
|Original Press Release |
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SoftServe Launches SaaS Tenant Analyzer, a Solution for Predicting Subscriber Behavior
FORT MYERS, Fla. and LVIV, Ukraine, -- SoftServe, a leading global outsourced product and application development company, today announces the availability of its new Software as a Service Tenant Analyzer (SaaS TA), a quick start predictive analytics solution for C-level executives at Software as a Service (SaaS) and E-commerce providers.
The Subscription Economy is a new term used to describe high volume service fulfillment business models for SaaS and E-commerce companies. Predicting how subscription relationships develop over time is a key to forecasting revenue, retaining tenants, and targeting sales and marketing investments. The new SaaS Tenant Analyzer solution predicts subscriber behavior based on a flexible data model and a predictive analytics engine. SoftServe works closely with multiple customers in the SaaS and E-commerce vertical every day, and the intimate connection with dynamic online marketplace requirements helped drive the creation of this new solution.
The SoftServe SaaS TA analyzes and then predicts the potential churn risk and rate for SaaS and E-commerce tenants, helping CFOs and CROs quickly gain actionable insights such as:
-- Proper targeting of short term effort at retaining large, at risk tenants;
-- Proper allocation of sales and marketing investments in best performing tenant segments;
-- Overall risk of lost subscription revenue from specific and aggregate tenant churn.
The SaaS Tenant Analyzer is a customizable, open source Java application containing a browser UI, extensible data architecture, an API, and a self-learning, sigmoid type Support Vector Machine predictive analytics math model. SaaS TA reduces cost and accelerates time to market for implementing a state of the art predictive analytics solution tailored to any subscription economy business.
"SaaS TA addresses strategic, revenue related business issues for subscription economy companies," said Russell Hertzberg, VP of Technology Solutions at SoftServe Inc. "The SaaS TA meets E-commerce and SaaS requirements for predicting tenant retention and churn risk. These are C-level business issues, and this is a C-level analytics and data science offering to address these issues."
Contact us to schedule a demo of the SaaS Tenant Analyzer now!
About SoftServe Inc.
SoftServe (www.softserveinc.com), founded in 1993, is a leading global outsourced product and application development company dedicated to empowering businesses worldwide by providing end-to-end capabilities from product concept to completion. Leveraging our exclusive Abiliton(TM) approach to deliver predictable and reliable results, along with our IP accelerators, SoftServe is uniquely positioned to bring high-quality and high-performance products to market in record time. Utilizing Product Development Services 2.0 (PDS 2.0), we deliver proactive solutions in the areas of SaaS/Cloud, Mobility, BI/Analytics and UI/UX for industries including Healthcare, Retail and Infrastructure & Storage. SoftServe is a rapidly growing global company with 3,000 professionals and offices in North America, Western Europe, Russia and Ukraine.
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