TABLE 1. Rakesh Patel – Vice President of CreditMatch – Experian Consumer Services
Title: Underbelly of Big Data
Description: This round table will focus on the use of data to empower consumers to make relevant, timely and educated decisions. We want to understand and have a healthy debate on core topics covering;
- At want point do you start creating consumer confusion because there is too much data?
- How do you know that analytics and/or data not play a part in driving consumer engagement?
- How much analytics is too much?
- At what point do consumers feel that we know too much?
- What is the best practice around consumer engagement and education?
- How do you use analytics to drive consumer experience (what are consumers doing within your experiences) to change the user journey or to funnel them down a specific path?
TABLE 2. Julie Wooding – FICO
Title: Evolution of Consumer Credit, Data and Credit Risk Models Over Time
Description: Over the last 10 years, we’ve seen a credit industry evolution: in terms of consumer credit use behavior, data sources available, as well as the development of credit risk models. Join us and learn more about our insights from the past and what we believe we’ll see in the future.
TABLE 3. Jack Hojnar – Head of Technology and Strategy, cbsi
Title: Presentation Topic: Recent Evolution in Credit Card Benefits
Description: When Citibank recently – and seemingly without warning – eliminated insurance benefits from some of its card portfolios, the marketplace was on fire. Consumers raged. News reports speculated. One question was on everyone’s mind: Are benefits going away?
cbsi’s Jack Hojnar will answer this question and more as he examines the history of benefits, the effect of the digital experience and increased social media presence to help bring clarity to the future of credit card benefits.
TABLE 4. Sam Kemmis – Travel rewards expert at NerdWallet
Title: Content personalization for CC holders: Why personalized content should matter to consumers and businesses.
Description: Matching the right content to the users who will find it interesting is hugely important, and not as difficult as many think. It doesn’t require machine learning algorithms to determine who will care about a new Amex lounge opening in LAX — it just takes some common sense (and the appropriate data). Users who fly out of LAX and have an Amex card (or are interested in the card) should be matched with that story, and no one else. Here Sam shares his previous experience with personalized Credit Card content, as well as ideas for the future.
TABLE 5. Jeannine Crooks – Publisher Acquisition & Development Manager with AWIN US
Title: Advanced affiliate marketing strategies
Description: By identifying new merchant opportunities, maximizing existing relationships, and taking advantage of the latest technologies, it is possible to grow affiliate marketing into a significant passive income opportunity.
Spending 15 minutes a day strategically placing or updating links can translate into significant passive income. Learn how to prioritize your time for maximum return.
TABLE 6. David Naffziger – CEO of BrandVerity
Title: Keeping Web Content Compliant: Top Strategies for Publishers
Description: In the credit card industry, monitoring for content compliance across the Web is extremely challenging — issuers change content and offers rapidly, while the expectation for publishers to keep up and remain compliant remains high. Join Dave Naffziger, CEO of BrandVerity, for a roundtable discussion on:
- Understanding issuer expectations of publishers
- Learning how to keep content compliant in a highly regulated environment
- Developing strategies for quickly identifying and updating content as compliance standards change
TABLE 7. Michelle Black – Founder of CreditWriter.com
Title: Experian Boost, UltraFICO, and Consumer-Permissioned Data
Description: In the last year, the credit world has seen the launch of 2 major consumer-permissioned data products from both FICO and Experian. Both products, UltraFICO and Experian Boost, represent an exciting new trend in the world of credit —consumers with more control over the information that appears on their credit reports and/or influences their credit scores.
Join us and learn more about how Experian Boost and Ultra FICO could potentially help millions of consumers to see positive improvement in their credit scores with the click of a button. We’ll also review some of the limitations of these pilot programs and talk about obstacles consumer-permissioned data products still have to overcome. Finally, we’ll discuss other companies that are trying to expand into the alternative data (or alternative credit scoring) space and what we hope to see in the future.
TABLE 8. Miranda Marquit – Personal Finance Writer
Title: How to Set Rates for Different Types of Articles – Great Info for both Writers and Publishers
Description: Different articles come with different requirements. If you’re trying to figure out how to set a rate for a credit card review versus an in-depth comparison, or if you want to know how to price a guide versus a “best of” roundup, this table session is for you. We’ll look at what to consider as you set a rate.
Miranda Marquit has been writing about money on the internet for almost 15 years. She’s written about almost every personal finance topic out there, including credit cards.
TABLE 9. Scot Rumsey
Title: ‘Credit Seekers’: Who are these 100 million US consumers, and are there any good products available to them?
Description: This round table will focus on the vast consumer demographic that has a ‘credit score’ under 660 OR no ‘credit score’ at all. This segment of the US makes up a consistently large and active group of consumers we call ‘Credit Seekers’.
What are the product options for consumers in this demographic? vAre the fees and interest rates being charged on products for this demographic warranted and/or fair? What aren’t issuers getting right? What is missing from the current products? Are there products that are either not available to this group or not yet created? With such a significant percentage of the US population residing in this demographic (~30% of US has a score under 660 or no score at all) what type of ‘innovation’ is needed?