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Predictive Data Launches “Influencer Mapping” Solution to Help Marketers Jumpstart Influencer ROI

Austin, Texas, May 3, 2016Predictive Science, a big data, software and insights company focused on helping Fortune 1000 marketers discover data-driven, algorithmic solutions to their ROI challenges, has introduced a first-of-its-kind Influencer Mapping Solution that delivers custom-curated influencers mapped to the buyer’s journey and associated with attributable influenced revenues. The solution is designed to jumpstart influencer marketing strategies with an at-a-glance look at influencers, potential purchasers, actual and potential revenue impacts, allowing marketers to make the most profitable decisions.

The Predictive Science Influencer Mapping Solution combines big data, proprietary algorithms, and human verification to ensure the data is accurate and complete the first time, reducing wasted time and effort.

“Most Influencer solutions start with broad categories of lifestyle or interest categories and then identify individuals with lots of followers in those areas. This assumes that just because someone has a lot of followers, that they have influence. At Predictive Science we take a very different approach. We find actual customers who are talking about your specific product, brand or campaign and map the specific people who influenced them.

And we take it even a step further. We can tell you, by influencer, the amount of revenue they’ve directly influenced, as well as the demographic profile of those being influenced,” said Neal Varner, Predictive Science Lead Data Scientist and Influencer Product Owner.

“Our work with Fortune 1000 companies over the last several years has helped us hone our approach of using big data to help brands gain deeper insight and make more informed decisions about marketing, business, and competitive strategy.

At the end of the day, everything comes back to proving – and improving – the return on your investment. We start with this in mind when we build solutions. That’s the power of our Influencer Mapping Solution,” said Varner.

More information about the Predictive Science Influencer Mapping Solution is available at www.predictivescience.com/influencer-mapping.

 

About Predictive Science

Predictive Science provides big data solutions to Fortune 1000 marketers’ most pressing challenges. Using a powerful combination of big data, proprietary algorithms and a team of highly trained analysts, they are unmatched in their ability to turn complex data sets into simple views and stories to bring your audience to life.

Understanding your audience multi-dimensionally via behaviors, influencers, experiences, and interests allows you to chose the most appropriate messaging, programs, offers, and channels through which to engage with them.

Many of the largest companies in the United States have derived meaningful financial value from the Predictive Science range of solutions. Current engagements include accounts like Verizon and the NFL.

See more at www.predictivescience.com.

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.  

 

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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.

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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.

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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.

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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.  

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