• Audience Intelligence

    We bring your audience to life by adding new dimensions to your data more quickly and cost effectively than ever before possible

  • Audience Intelligence

    We bring your audience to life by adding new dimensions to your data more quickly and cost effectively than ever before possible

  • Audience Intelligence

    We bring your audience to life by adding new dimensions to your data more quickly and cost effectively than ever before possible

  • Audience Intelligence

    We bring your audience to life by adding new dimensions to your data more quickly and cost effectively than ever before possible

We help companies:

Build better Product Solutions

Refine personas & find missing personas

Precisely target via online & offline channels

Get real-time feedback on customers & prospects

Understand key influencers & interests

Out-perform the competition

Solutions

Persona Analysis

  • Correlated Interests to guide messaging & campaigns
  • Key influencers to shape strategy & promotions
  • Real-time virtual consumer panel

Offline Targeting Analysis

  • Retail location analysis including foot traffic and store reviews
  • Local & National event opportunities by persona



Find out more

Online Targeting Analysis

  • Social targeting
  • SEO/SEM targeting
  • Relevant local and national websites by persona

Market Assessment Analysis

  • Pricing analysis
  • Customer Experience by store
  • Competitive Dynamics
"74% of companies that over-perform on revenue growth create customer experiences based data driven insights"
– Insights 20/20

Questions we help you answer

Persona

Who is my target audience? What channels are best to reach them? What messaging will resonate the most?

Local

What is the customer experience of my retail stores in New York?

Cultural

How do I target Latinos in Chicago?

Innovation

What am I missing? What are my competitors missing?

Marketing Effectiveness

Why did my campaign not perform well?

Unique & proprietary data sets and patented technology deliver solutions unmatched in the industry

Human Intelligence Grid – using people where machines fail

Machine Learning & Data Science that scale

Virtual representative panels of consumers

CASE STUDIES

RESULTS

20%

Increase in new leads

5X

Higher conversion rate

$100M

Additional revenue

THE CHALLENGE

A Fortune 500 high tech customer realized they were sitting on valuable customer information in the form of transactional and community platform data, but they didn’t know how to capture and use the data to present more relevant, personalized offers.

THE SOLUTION

We integrated community data – authors, key influencers, social identities – with purchasing histories to get an in-depth understanding of customer behavior and preferences, and armed sales with a 360˚ view of their customers.

RESULTS

27

Additional trending terms identified

27.5%

Increased campaign impressions

8%

Attributable increase in revenue

THE CHALLENGE

A Fortune 500 high tech client was looking for a way to capitalize on their enterprise-level social programs to generate more interest, customer value, and return on investment from their social media marketing.

THE SOLUTION

We identified keywords, trending terms, and influencers missing from the strategy and pinpointed where, how, and when their audience wanted to hear from them.

RESULTS

49

Customers who switched to the competition

50K

Potential customer churn

$79M

Potential financial impact

THE CHALLENGE

A Fortune 100 telco client needed a strategy to respond to an attack campaign from a close competitor.

THE SOLUTION

We analyzed the overall impact of the competitor’s marketing efforts through customer intelligence and social listening. We reviewed several potential campaigns to predict outcomes, impacts, and effects on sentiment over time, and made recommendations for the best one.

Customers

Partners

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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