130930 Predictive Analytics Proving a Powerful Tool For Organizations

An increasing number of organizations across a myriad of industries are using predictive analytics to determine customer behavior and improve their overall success. Despite not having large analytic staffs, credit unions could benefit from using existing predictive analytics technologies to bolster their business and better serve members, a senior TruStageā„¢ executive told an Online Discovery audience Tuesday.

For more information: 
Phil Tschudy 608.665.7188 philip.tschudy@cunamutual.com
Rick Uhlmann 608.665.8940 rick.uhlmann@cunamutual.com

Oct. 1, 2013

Predictive Analytics Proving A Powerful Tool For Organizations
Gao Tells Online Discovery™ Audience Existing Member Data Can Be Modeled To Improve Results

MADISON, Wis. – An increasing number of organizations across a myriad of industries are using predictive analytics to determine customer behavior and improve their overall success. Despite not having large analytic staffs, credit unions could benefit from using existing predictive analytics technologies to bolster their business and better serve members, a senior TruStage™ executive told an Online Discovery audience Tuesday.

Simon Gao, vice president, TruStage consumer analytics, defined predictive analytics as a set of business intelligence technologies that uncover relationships and patterns within large volumes of data to predict future behavior and events.

“Do you ever wonder how Netflix has such great movie recommendations for you or how Target sends you just the right coupons? The answer is these companies, like many others, are predicting your behavior,” Gao said.

Predictive analytics is forward-looking, using past events to anticipate the future. Existing data is modeled to help business leaders make decisions more accurately, objectively and economically. Although credit unions could potentially gather a plethora of member information, Gao suggested the following information might be useful for credit unions to initially collect and model:

  • Most popular services used by members
  • Manner in which members are accessing your services – online, in-branch, at the ATM
  • Branch locations they are visiting and when

Gao said predictive analytics could help credit unions with marketing and risk management in particular. “In marketing acquisition, targeted programs are still the best way to go.  If your credit union is not doing individualized targeted marketing, you should investigate this approach.”

Predictive analytics can help credit unions create targeted cross-sell and up-sell offers. “It helps identify the most effective contact strategy to reach members and which products and services to offer to more effectively grow and retain members.”

Gao said the CUNA Mutual Group MemberCONNECT Program uses predictive analytics in the direct marketing of TruStage insurance to identify the best consumers to target. Such factors built into its modeling include propensity to respond, likelihood of conversion, persistence and lifestyle factors. “We test various models to identify what message or combination of messages is the best for a particular segment of consumers, so the creative tests would identify winning approaches with the biggest impacts.”

Consumers also benefit from predictive analytics through the receipt of more relevant and targeted offers, better products and services and cheaper prices through greater marketing efficiency.

Credit unions don’t need a large staff to take advantage of existing predictive analytics technologies. “You may not be able to do the modeling in-house, but you can purchase vendor products, similar to those you use with FICO credit scores in loan underwriting,” Gao said.

Most companies start by leveraging their existing analytics staff, as they have the best knowledge of existing databases. Gao said there are many predictive analytics consulting companies that can assist credit unions in getting set up.

Gao said predictive analytics is not a fad. “Organizations are already struggling with too much data. Predictive analytics is the most powerful solution to the ‘too much data’ problem, and it has proven to have an outstanding return on investment.”

Online Discovery is an annual conference sponsored by CUNA Mutual Group that attracts a national and international credit union audience of more than 1,300. This virtual, no-cost event helps credit unions remain relevant to members, manage compliance risk and drive growth. Attendees view sessions, ask questions, visit booths and network with peers from the comfort of a computer without expense or time away from the office.

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TruStage is a consumer marketing brand of CUNA Mutual Group, a company providing financial security and protection to credit unions and their members worldwide. With more than 75 years of true market commitment, CUNA Mutual Group’s vision is unwavering: To be a trusted business partner that delivers service excellence through customer-focused products and market-driven insight. More information about TruStage is available at www.TruStage.com.

TruStage insurance products and programs are made available through TruStage Insurance Agency, LLC and issued by CMFG Life Insurance Company and other leading insurance companies. CUNA Mutual Group is the marketing name for CUNA Mutual Holding Company, a mutual insurance holding company, its subsidiaries and affiliates.

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