The Yuhas Consulting Group is a consortium of professionals providing consulting services to a variety of commercial and non-profit clients. We pride ourselves in being able to translate the complexities of advanced mathematics to the needs of your organization.
Ben Yuhas, Founder
As a mathematician with extensive business experience, Ben Yuhas offers a unique blend of quantitative expertise and qualitative understanding of business practice. For over 25 years, Dr. Yuhas has been helping clients use data to generate revenue, save money and make better decisions. He has managed his own consulting firm since 1999 and serves clients in both the commercial and non-profit sectors. Dr. Yuhas has several publications and holds a United States Patent for a method of modeling.
Robin Pressman's background in political campaigns and issue advocacy connects the science of microtargeting with real-world campaign strategies. Before opening her own company in 2003, Robin served as senior associate at the polling firm Greenberg Quinlan Rosner Research. Pressman also has wide-ranging experiences designing and managing political, issue advocacy and grassroots campaigns.
As a mathematician with extensive business experience, Ben Yuhas offers a unique blend of quantitative expertise and qualitative understanding of business practice.
For over 25 years, Dr. Yuhas has been helping clients use data to generate revenue, save money and make better decisions. He has managed his own consulting firm since 1999 and serves clients in both the commercial and non-profit sectors.
Dr. Yuhas developed his technical expertise as an undergraduate in mathematics at the University of Chicago and as a graduate student at Johns Hopkins University. His PhD thesis on the use of neural networks for lip reading was featured in IEEE Communications and Discover magazines. Upon graduating, he joined Bell Communications Research (Bellcore) as a member of the technical staff.
He was recruited from Bellcore by AT&T Universal Card to direct advanced-analytics for credit modeling, and from 1995 through 2005, he held various positions in the financial services industry. In 2000, he was part of the launch team at Juniper Bank and served as the senior director of database marketing until the company was acquired by Barclaycard in 2004. Dr. Yuhas also provided strategic advice to financial service clients as a senior consultant at First Annapolis and as a principal within IBM Global Business Intelligence. In these various roles, he developed and executed data-driven strategies that impacted all stages of the customer life cycle, from account acquisition to management and retention.
The Yuhas Consulting Group (YCG) adapted Dr. Yuhas' experience in financial services to develop data-centric strategies in other verticals. YCG helps clients retain and deepen their relationship with customers by using detailed analytics to predict which individuals are most at risk of leaving and to identify the key drivers of attrition to mitigate the risk.
For political clients, YCG combines polling data with enhanced voter files to build models that predict voter behavior. YCG's models have been deployed in all 50 states and used by candidates for president, governor, senate and house, as well as a broad range of non-profit organizations. Dr. Yuhas worked on Barack Obama's 2008 presidential campaign, assessing, modeling and targeting the early vote programs, and on Election Day, he served in the war room, providing real-time targeting for get-out-the-vote activities. The Wall Street Journal profiled Dr. Yuhas' political work in a 2006 front-page article.
Dr. Yuhas lives in Baltimore with his wife, Jana, and his two sons, Max and Elek. He is on the board of the directors of the Ingenuity Project, a non-profit public-private partnership to prepare highly capable students in the Baltimore public school system to achieve national competitive levels in the STEM fields. He is also a longtime supporter of the Packard Center for ALS Research and was presented with the Center's first volunteer of the year award. In 2014, Dr. Yuhas was named as a mentor for the University of Chicago's Data Science for Social Good.
Whether you are selling credit cards or mobilizing voters, the goals are often the same – identify your audience and determine what will motivate them. To cut through today's cluttered world, you need to deliver the right message to the right individual at the right time.
We transform data into actionable information. Our custom solutions aim to help you, acquire new customers and then engage, motivate and retain them. A deeper understanding of your business enables you to optimize your operations by targeting your resources more efficiently.
We find patterns in data that help you identify and understand the drivers of behavior. This can reveal opportunities and expose deficits. We offer expertise in a broad array of statistical algorithms and experience across a wide spectrum of domains.
We build models to predict the behavior of individuals so you can anticipate their needs. These models can identify who is likely to purchase, vote or attrite. Models are a combination of art and science, whose success come from correctly formulating the problem, understanding the data and choosing the appropriate statistical algorithm.
We identify groups with similar behaviors or preferences, so you can design your products and strategies to better meet their needs. A deeper understanding of the customer allows you to tailor your communications to create a relevant, compelling conversation.
We help clients integrate data analytics into their day-to-day operations to increase their efficiency and effectiveness. Experimentation helps us identify the combination of analytics and actions that perform best and identify opportunities for improvement.
We have worked with a broad spectrum of clients, including:
"The modeling not only paid for itself within two months, but it is now saving us money each month in voter contact."
- Eli Il Yong Lee, Executive Director of Center for Civic Policy, New Mexico -
In 2009, YCG developed consumer segmentation for EMI Music. EMI now assesses opportunities by the size of the segment and the value that would be realized by moving those individuals forward in the life cycle, from awareness through to acquisition. In addition, the segmentation helps EMI communicate with its consumers by providing insights into artist, product and channel preferences.
In a 2012 assessment of EMI’s segmentation, Millward Brown concluded: “EMI has a good, strong segmentation that is effectively used throughout the business and is underpinned by strong analytics, a large amount of data and exceptional knowledge of the industry.”
YCG replicated the consumer segmentation strategy for Harper Collins Publishing in 2011.
In 2011, Dr. Yuhas received a grant from Johns Hopkins University as the principal investigator on a comparative effectiveness study. The study focused on Medicare beneficiaries diagnosed with Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig's disease.
The objective was to analyze the diagnostic and treatment information on Medicare claims to identify potential off-label impacts of drugs on survival rates. In the first phase, he identified candidate drugs based on statistical associations between their presence and longer survival times. In the second phase, he quantified the impact and computed the significance of these associations. Several classes of drugs were found to be associated with longer survival times among ALS patients.
In 2013, Dr. Yuhas received a second grant to continue this research.
Eli Il Yong Lee, executive director of Center for Civic Policy, New Mexico, shares his experiences with YCG:
We were intrigued about modeling but had never done it before and frankly, were a little terrified about the process. We also wanted to create a model that hadn’t been done before – a model for socially responsible voters, not a model for just one issue or characteristic.
Ben and Robin were exceptional. They put real thought into how to go about developing a socially responsible model and walked us through the process with great patience and clarity.
The results speak for themselves – our targeting was precise and effective. We saved tens of thousands of dollars because our phoners and doorknockers got yeses at a rate three or four times greater than with previous targeting methods.
Similarly, our radio and direct mail instantly became more cost-effective – for the same amount of money, we could now target many more people because we knew from first-hand experience that almost everyone we were reaching was in our target audience.
The modeling not only paid for itself within two months, but it is now saving us money each month in voter contact.
YCG worked with Planned Parenthood of Greater Iowa (PPGI) to improve the effectiveness of their outreach programs.
By leveraging existing polling data, they were able to develop models in a cost effective means. PPGI used these models to target their canvass operation, phone banking and house parties.
Chief public affairs officer Julie Stauch: “Volunteers reported that they had significantly fewer negative calls and in many instances, people were very friendly and receptive to our message. We also had significantly stronger supportive responses. As a result, we were able to add over 500 people to our contact list, in addition to identifying over 1,300 voters for our candidates.”
During the economic crisis, Minnesota voters overwhelmingly voted for a constitutional amendment to increase their taxes to invest in clean water, habitat conservation, parks, trails and the arts. It was the largest state-level conservation initiative in U.S. history, increasing the investment in clean water, natural areas, cultural legacy, and parks and trails by about $290 million a year for 25 years.
Working with Robin Pressman, YCG developed models to identify amendment supporters as well as likely activists and donors for Conservation Minnesota. Conservation Minnesota used these models to target key swing audiences with direct communication. The campaign also used the models to identify supporters who were more likely to skip the ballot question. Other models predicted which constituents would open email communications, allowing Conservation Minnesota to expand its email at less than half the previous costs.
“Key targeting of voters and message development was critical to the success of this initiative,” said Conservation Minnesota director Paul Austin. “The microtargeting developed for the campaign will pay dividends in years to come as constituent groups continue to use the data to build their memberships, target constituents on key legislative issues, and focus legislators on the issues their constituents care about.”
YCG has extensive experience working with financial services companies. Using data-driven solutions, we have helped our clients:
YCG combines polling data with enhanced voter files to build models that predict voter behavior. Once built, these models can help you choose individuals who are likely to have the behavior in which you are interested. These models help campaigns find supporters beyond traditional constituencies and identify softness within the base.
While polling often aims to find messages that have wide appeal to a broad class of voters, YCG aims to find specific messages that will appeal to specific individuals so that campaigns can better focus and prioritize voter communications.
For a political campaign, traditional targeting identifies individuals by party registration or precincts by their historical vote. For example, they would target those precincts where over 65% had voted for their candidate’s party in the past. In Virginia, there is no party registration and in 2005, there were not enough 65+% precincts. To address this unique challenge, YCG developed models to predict the probability of support and turnout for each individual on the Virginia voter file. Individuals could be targeted anywhere in the state with greater precision.
In 2008, YCG predicted the early vote for the Obama campaign using models that predicted the individual probabilities of support for each voter. Earlier in the same cycle, YCG help the Clinton campaign target voter contacts during the Iowa caucus and led the boiler room team predicting the final vote based on sampled returns from targeted precincts.
YCG worked with a software-as-a-service (SaaS) provider to increase renewal rates.
YCG analyzed the interaction of customer attributes (industry, size, location, revenue) and product usage (tenure, features purchased, extent of usage) to find patterns associated with at risk accounts. We found that those customers who used particular features more extensively were more inclined to renew their subscription. The solution was to better educate customers on these sticky product features and to invest in more upfront training. By better engaging the customer, our client was able to generate several million dollars in increased revenue associated with improved renewal rates.