Revenue Survey

2007 Revenue Days Recap

Below are sessions that were featured at Revenue Days this year. You can still access presentation slides to gain valuable insights on how to help boost your revenue by making the most of your current customer relationships while attracting profitable new ones!

Session #1 — How to create a full-scale, enterprise loyalty program

Rewards programs have long been one of the centerpieces of card loyalty strategies. However, most financial institutions have struggled to incorporate information on multiple customer relationships (including card products) into a loyalty program that cost effectively delivers the relevant rewards consumers desire. As a result, opportunities are being missed to build stronger, more valuable customer relationships.

Hear Julie Bohn and Molly Plozay from First Data as they discuss how to create a full-scale, enterprise loyalty rewards program. In this informative session, you will learn how to establish loyalty programs for all of your products and services…from credit and debit cards, to mortgage, installment lending, DDA and more…and at the same time cost effectively deliver more relevant reward programs to market.

Click here to request this presentation.

Session #2 — Grow revenue through more efficient customer acquisition and offer management

Continuously growing revenue is a function of two things: cost effectively acquiring new customers and getting more customers to profitably consume incremental products and services. With predictive analytics, you’ll be able to effectively segment markets to predict the most profitable customers to target. You’ll also be able to develop highly personalized offers to increase acceptance rates, minimize risk and lower outbound marketing and offer costs.

Hear Trevor Rubel, Chief Strategy Officer at Intelligent Results, as he shares real-life experiences working with large banks, telecoms and retail companies, on how to implement more effective acquisition and usage strategies. During this session, you’ll see examples of analytics in action and understand just how easy it is to integrate analytics with systems and processes you’re already using.

Click here to request this presentation.

Session #3 — Cross-sell additional financial products to existing customers

With intense competition in the financial industry, you are constantly looking for ways to increase your bottom line without “breaking the bank” to do it. You need to rely on your current cardholder base and determine the best way to use what you have — products, services, experience, technology, etc. Cross-selling other financial products and services to your customers can be key to increasing your revenue.

Chaun Heywood, a First Data expert in portfolio usage, retention and marketing, will show you how First Data can help you build a solution to cross-sell to your cardholders by leveraging analytics, rewards programs and communication tools.

Click here to request this presentation.

Session #4 — Leverage dynamic fees to increase portfolio revenue

First Data can help you uncover new revenue opportunities within your existing customer base. The objective is to provide you with the ability to assess, communicate and report on a wide variety of fees based on your business needs.

Michael Koenigsman, another First Data expert in portfolio usage, retention and marketing, will explain how First Data can help you generate additional revenue by creating new and innovative fees that can be automatically assessed to accounts for almost any customer behavior or action.

Click here to request this presentation.

To request one of the presentations above, please complete the following form.

Please choose which presentation(s) that you wish to request:

Session #1 — How to create a full-scale, enterprise loyalty program

Session #2 — Grow revenue through more efficient customer acquisition and offer management

Session #3 — Cross-sell additional financial products to existing customers

Session #4 — Leverage dynamic fees to increase portfolio revenue

form image
Please enter the value shown above: