Data No One Else Has

Access unique data sets that will give you a competitive advantage

Most Comprehensive Algorithms

Save your data scientists’ time by using our industry leading algorithms

Fastest Growing Data Collection

Partner with a company that built the telecom industry’s most comprehensive data set.

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People ask us all the time

How Does Predictive Science Obtain Unique Data Sets?

Predictive Science focuses on specific industries and is constantly looking for data that can gives our customers a competitive advantage.  We regularly enter new data partnerships, and we’re always gathering new information and building feeds using our data science network.

What Types of Algorithms Do You Create?

Predictive Science runs a growing ecosystem of industry relevant data sets tied together by algorithms that help our customers make more accurate decisions and predictions.  Each new data set requires updates to industry models meaning our data scientists are constantly updating algorithms to improve predictive accuracy.

How Often Is Your Data Updated?

Our data sets are updated based on the frequency at which the data changes.  Most of our source data is updated in real-time, other data sets can be customized to be updated on a source-dependent schedule, or on demand.

How Can The Data Be Accessed?

Our data is best analyzed via the Predictive Science Marketing Platform, but we also provide an API and data export capabilities. You can analyze our data using Excel, Tableau, R, SAS, Python, or any other data science tool.

Do You Have Data For Industries Besides Wireless, Cable, Smart Phones?

Although we specialize in a few industries, most of our data and algorithms are industry portable and we quickly ramp up for new challenges.  We are selective about working with companies we know we can give a competitive advantage.

Companies We Monitor

Our Data Partners

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View Our Case Studies
Jaime Cavazos

As VP of Project Management, Jaime brings his experience in engineering and management to make sure that Predictive Science hits their product launch goals. Jaime has been with Predictive Science since its founding in 2013.

Prior to joining Predictive Science, Jaime worked for Dell as an Applications Manager, where he was responsible for integrating and developing applications across a variety of platforms. Previously, Jaime has worked with a number of large technology and marketing companies, including startups, with a variety of roles in design and engineering.

Steve Tedjamulia

Prior to Predictive Science, Steven was the founder and executive practice lead for Dell’s Digital Strategy and Innovation consulting practice. He also served as the director and co-founder of Dell’s digital and social commerce innovation labs, where he led strategic efforts in creating, experimenting, partnering, and launching digital and big data technologies.

Steven serves on the boards of Brand Innovators, Digital Strategy Innovation Summit, Chief Strategy Officer Magazine, and Tech Media. He also continues to advise Carnival Cruise Lines, VMware, and Verizon’s digital executives.

Allison Dancy

Allison is a proven executive with over 20 year’s experience in sales and marketing. As Vice President of Marketing she is responsible for the strategic direction and execution of all aspects of marketing.

Prior to Predictive Science she was Vice President of Marketing for Hearst owned CDS Global, the worldwide leader in business process outsourcing for the magazine publishing industry. There she oversaw all marketing functions and spearheaded a global rebrand, launched a new website, and created sustainable processes around public relations, content marketing, social media marketing, content marketing, demand generation, and corporate events.

Before CDS Global Dancy held a variety of leadership roles in sales, partner channels, strategic alliances, demand generation & marketing at companies such as Lotus Development, IBM, Dell, and OpenText/Vignette.

Ryan Haws

Ryan earned a law degree with honors from George Washington University, and has spent his career practicing intellectual property and technology law with a focus on computer software and electronics. He leverages his technical background and legal experience to help Predictive Science stake out leading positions relating to its technology.

Prior to joining Predictive Science, Ryan worked at two of America’s largest law firms advising Fortune 500 companies and startups on patents, intellectual property protection, trade secrets, technology licensing, negotiations, and complex litigation.

Before pursuing law, Ryan earned an electrical engineering degree from Brigham Young University and worked as a Systems Engineer and software developer for Lockheed Martin where he oversaw development and management of big data processing systems for the U.S. intelligence community.

Jamey Heinze

Jamey Heinze is Senior Vice President and CMO In-Residence at Predictive Science. In this role he leads the company’s new client engagement and business development activities, drawing upon and sharing insights gleaned from 25 years of sales and marketing experience across technology industries.

Prior to joining Predictive Science, Heinze served as Chief Marketing Officer at CDS Global, a subsidiary of Hearst Corporation and the worldwide leader in business process outsourcing for the publishing industry. There he implemented a comprehensive, closed-loop marketing engine and drove the company’s efforts to cultivate awareness and generate demand in emerging markets.

Before CDS Global, Heinze led global demand generation for OpenText/Vignette, and data services product management for Level 3/Broadwing. Earlier in his career, he worked with Xerox, Sprint, MCI, and Worldcom in a variety of direct sales positions.

An alumnus of Penn State University, Jamey graduated with highest honors.

Phil Matheson

Phil has worked as a software engineer, manager, and architect for the past 15 years. Prior to joining Predictive Science, Phil worked for 6 years at Cartera Commerce, Inc. where he was a key member of the engineering and management teams that built several high traffic web properties for the financial industry.

After joining Predictive Science in 2013 as a Senior Architect, Phil began building the core of what would become the Predictive Science platform. In 2015 Phil was promoted to Vice President of Engineering where he maintains a hands-on approach and works closely with the engineering team to code and architect the next generation of features on a daily basis.

Rod Whisnant

Rod has worked as a technologist, product executive, and entrepreneur for more than 20 years, holding leadership roles in companies ranging from startups to enterprise players.

Prior to Predictive Science, Rod led Product & Engineering for the Dell subsidiary, Marketvine, which developed innovative SaaS solutions for large retailers. As a result, he is named in four patents. Rod is also the founder and CTO of CrowdMesh, a startup in the social media analysis space.

Rod’s passion for delivering creative solutions to customer problems makes him a natural leader for product development in areas including SaaS, big data, social media and eCommerce.

Phillip Ulberg

Phillip brings 15 years of experience in media technology, systems engineering, and IT leadership to his VP Technology and DevOps role at Predictive Science.

Before joining Predictive Science, Phillip worked as a cloud infrastructure engineer for Allegiance, Inc. and principal systems engineer for DTI and spent six years as a systems engineer for the Walt Disney Internet Group.

Smartphone Company Uncovers New Personas and Increases Revenues with Predictive Science

A fortune 1000 smart device company used Predictive Science technology to discover personas for the launch of a new smartphone. Using Predictive Science technology, they identified new, feature conscious, non-smartphone user personas as well as ways to uniquely target them, increasing SEM campaign impressions by 27.5% and total campaign revenues by 8%.

Consumer Electronics Company Increases Top of the Funnel Results by Engaging with Influencers

A Fortune 100 consumer electronics company worked with Predictive Science to identify key influencers relevant to specific, primary keywords. Predictive Science helped the client partner with key influencers resulting in top ten placement in organic search results. Search rankings increased rapidly and in a targeted fashion.  Our client got comparable results while avoiding the time and expense associated with a traditional advertising campaign.  


Consumer Electronics Company Increases Leads and Conversions Through Improved Persona Targeting

Faced with the challenge of increasing year-over-year revenue by $100 million, a Fortune 100 consumer electronics company turned to Predictive Science for help discovering new leads to boost revenue.  Predictive Science identified new personas and optimal marketing channels to for each personal leading to a 20% increase in leads and 2-5% increases in conversion rates.

Leading Airline Uses Big Data to Identify the Financial Impact of Bad Customer Experiences

Using big data and an array of proprietary algorithms, Predictive Science scores customer experience in real-time, giving clients a dynamic “Net Promoter” style Brand Score. Predictive Science used this Brand Score to help a leading airline benchmark brand sentiment and model the potential financial impact of negative customer experiences. For one widely publicized issue, Predictive Science predicted that absent adequate response, the airline could experience a 19% drop in Brand Score with a related financial losses of $300,000 per day.

Consumer Electronics Company Increases Online Conversions By Optimizing the Shopping Experience

A large consumer electronics Client worked with Predictive Science to identify a set of most-attainable personas and shopping experience changes to help improve conversion for these personas.  Predictive Science helped the company increase online conversions by 12% increase email conversion by 33% for the targeted personas.

Telecom Company Identifies Competitors’ Disgruntled Customers to Increase Market Share

Over 90% of potential American customers have already selected a cell phone carrier, meaning switchers have become increasingly important.   A Fortune 10 wireless provider engaged with Predictive Science to analyze their competitor’s customer journey to identify disgruntled customers who were most likely to switch.  Predictive Science applied look-alike modeling techniques to identify switching patterns behind a potential 50,000 subscriber increase.