Getting Churn Data Has Never Been This Easy
If your business requires a deep, real-time understanding of consumer churn in the telecom industry, then you know how tough it is to obtain accurate, timely, and market-wide statistics. You’ve probably tried mashing together quarterly reports, sales data, surveys, and other disparate data sources to obtain your stats, but even then, understanding the precise flow of subscriber migration between service providers is virtually impossible at scale.
Our subscriber churn solution analyzes billions of digital signals daily, and finds subscribers who have switched their service provider/and or device. We output a continuous stream of churn events, identifying in each case both the previous and new service provider and device, without exposing consumer identities. The result is an easily-ingestible stream of churn insights that will power your marketing efforts and enrich your BI platforms.
Our Churn Event Data Points
Big Data, Big Benefits
The specific churn insights offered by our data solution are only made possible by adopting the latest technologies in big data computing and developing our own proprietary methods of collecting, structuring, and modeling the billions of data points we ingest daily. Our data science and development teams work with immense quantities of raw data from commercial-grade sources, all of whom have clear privacy policies and are fully authorized to distribute their data.
Our data stream is a unique and innovative solution for measuring telecom churn. No other churn data service covers as many subscribers and their actual switching activity, with such little elapsed time between the churn event and our detection of it.
5.2 Billion
DAILY DATA POINTS ANALYZED
160 Million
DEVICES TRACKED
5200000000
DATA POINT ANALYSIS RATE
Use Cases
Gaining access to live churn statistics can add incredible value to a variety of companies and teams that operate in and around the telecommunications industry. When you obtain a clear picture of the churn landscape, and are able to map the migration of subscribers between specific service providers, you’ll find yourself in a much better position to organize targeted marketing campaigns, or gain a competitive advantage, or forecast the performance of a stock in your portfolio.
About ThinkCX
Our Goal
Buried among the billions of digital signals that your customers and prospects produce daily are many subtle clues as to their next move as consumers. Our business goal is to find as many of those signals as possible and decode them for proactive outreach.
Our Mission
Our tech platform enables service providers to predict the behaviours of their prospects and existing customer base. Our mission is to become an indispensable partner that delivers both retention and acquisition benefits with a substantial ROI for our clients.
Our Technology
The patent-pending ThinkCX Predictive Intelligence Engine sits at the core of our solutions. It combines leading-edge data processing and machine learning methods into a highly sophisticated predictive analytics tool.
Aaron Nielsen – CEO and Co-Founder
Aaron is a 18-year industry veteran with an MBA in Finance and a well-earned reputation for driving technical innovation. He has founded ventures such as Agentix Solutions (acquired 2003) and BlueRealm Solutions (acquired 2006), and developed innovative solutions for brands like Best Buy and Amazon.com.
Ron Smouter – VP of Sales & Marketing and Co-Founder
Ron has 15 years of tech industry experience, in both sales and marketing. He has sold into C- and VP-level customers in large organizations such as Walmart and Best Buy. His MBA in Services Management has proved foundational in building both sales and customer service teams.
Supporting Cast
The founding team and employees at ThinkCX are supported by a highly capable and experienced Council of Advisors with deep technology experience and skills honed at industry leaders such as Microsoft, Amazon, Dell and Boston Consulting Group.
ThinkCX also benefits from a close relationship with Ryerson University, where a team of researchers are working with us on advancing the science of predictive analysis to the highest degree possible.
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