Predictive Sales Analytics Company Launches Spyglaz

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Following the successful release of the beta version, San Francisco Bay Area company releases Spyglaz™—a predictive sales analytics platform that helps companies increase revenue from their existing customer base.

Spyglaz was founded in 2015 by a team of experienced professionals each with 15+ years of Fortune 500 and startup experience. The founding team’s mission is to simplify predictive analytics and deliver an easy and accessible service to companies of all sizes. Spyglaz uses proprietary algorithms to analyze patterns in prior sales data to identify leads that are most likely to result in a sale, including which product or service will most likely be purchased.

Why is Spyglaz a better solution than many predictive sales analytics offerings out there? Founder Neeraja Rasmussen explains:

“Leveraging Big Data isn’t always about multi-million dollar budgets and 5-year timelines. Market dynamics and the accelerated pace of technology means you, the CEO, CIO, or CMO, cannot wait for behemoth corporate projects to come to fruition while competitors claim your market share. Spyglaz is an agile, easily deployed, high utility platform that can impact your sales bottom line today.”

Spyglaz is simple to use as well as affordable. For $49.99 per month, customers get unlimited data uploads and 500 lead recommendations per month. Spyglaz also has an annual payment plan for $539.89 per year—a 10% savings compared to the monthly payment plan.

Please visit to learn more about the capabilities of Spyglaz.

To request an interview with Neeraja Rasmussen and/or a high-resolution JPEG photograph of Neeraja, please e-mail Spyglaz Customer Care at talk(at)spyglaz(dot)com.

About Founder: Neeraja brings 20+ years of business experience to Spyglaz. She has managed digital marketing, lead generation and marketing strategy for both Fortune 500 companies and startups. In addition to her expertise with channel optimization and data driven iteration, she has 10+ years' experience building and scaling global teams.

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Rafael Scott
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