Big Data Is A Retail Bank Marketing Mirage

Over the past week, I have reached out to many of my banking industry colleagues in the U.S. and abroad asking for examples of where 'big data' is being used effectively in retail banking. 

The response was underwhelming to say the least, as the majority of banking leaders provided examples of 'works in progress' or 'initial wins', with some of the most mentioned case studies being in the areas of risk and fraud prevention as opposed to marketing. 

In addition to a post on big data by Aite Group's Ron Shevlin on The Financial Brand, and widely covered discussions about 'big data hype' on blogs from Gartner and CapGemini this past week, most industry leaders believe banks need to focus on data close to home before expanding their pursuit of the next shiny object. To this end, a friend from the U.K. offered to provide a guest post on the topic from his perspective as a supplier to the financial services industry.

By Darren Oddie, CEO and co-founder of AGILEci

Consumer banking behavior is changing rapidly before our eyes. Will this changing consumer behavior mean that incumbent retail banking 'zombies' may become corpses walking the halls of banking, as energizing and engaging competitors take enlightened customers away from them?

I firmly believe that many retail bankers are operating on autopilot in an increasingly dynamic and complex environment. They are trying to understand, develop, deliver and manage new solutions with buzzwords such as cloud, big data, mobile, social, NFC and mobile wallets to name a few.

I'm going to highlight one of these trending terms within the context of retail bank marketing, and the mots de jour are 'big data'. 

Optimistic Forecast for FinTech Providers

A new report, being released today by the William Mills Agency, reveals that spending by financial institutions is recovering as the economy and industry rebounds. The tenth annual ‘Bankers as Buyers’ study shares indepth insights and research from more than thirty individuals and organizations regarding what technology, services and solutions banks and credit unions are expected to invest in 2013. 

This report is a compilation of viewpoints from many of the most influential research and fintech support institutions in the country and is available as a free download here.

In this year's report, IDC Financial Insights projected that technology spending is expected to increase to $57 billion, with much of the spending expected to occur in the ‘second tier’ of financial institutions ($1 billion - $10 billion) as opposed to the largest banks.

"As technology continues to be central to customer interactions and an improved customer experience, we are constantly reminded that technology in not a banking department, but is everywhere . . . including in the hands of consumers”, states Scott Mills, president of the Williams Mills Agency. “Demographic and behavioral changes, combined with changing technology preferences and the need for improved trust and brand loyalty will force banks and credit unions to evaluate the role of technology in the delivery of services", adds Mills.

Additional findings of this year’s ‘Bankers as Buyers’ report include:

• A total of 14,210 financial institutions make up today’s depository landscape, which is down 3.7 percent from 2011 according to the FDIC and CUNA.
• While much of the focus on payments technology is on mobile, organizations are also looking at improvements in online payments, ACH, P2P and prepaid cards to attract customers.
• Mobile banking gained a stronger foothold in 2012, as FIs strived to meet increasing consumer demand for anytime, anywhere financial services.
• Consumer mobile banking is now used by 33% of mobile consumers according to Javelin Strategy and Research.
• According to the 2012 KPMG Community Banking Outlook Survey, 47 percent of responding institutions identified regulatory and legislative pressures as the most significant barrier to growth over the upcoming year.

From Passbook to Mobile: The Evolution Of The Bank Account

"Some might argue that nothing replaces a face-to-face relationship. That assumes that a digital, mobile experience is inferior to face-to-face. And while that may have been true in the past, that's not going to be the case in the future. Welcome to the total disruption of retail banking".

By Brett King, Bestselling author of Bank 3.0 and founder and CEO of Movenbank.

In 2009, I was visiting the head of retail for a major retail banking brand headquartered in Asia, and with a growing presence in the Middle East. This was 2 years after Apple's phenomenal launch of the iPhone, and by this time the iTunes store already had close to 100,000 apps and had surpassed a billion downloads. 

People were clamoring to get the iPhone, with unlocked 'grey market' phones available everywhere you looked in Hong Kong, Dubai, Shanghai and Singapore, because to that point, Apple had not launched the iPhone anywhere outside of countries like the U.S. But sitting in this executive's office, you'd never realize it.

I spoke about the impact that mobile and social media was having on consumer behavior, and how dominant apps would become in respect to the way consumers would do their banking over the next 3-5 years. I discussed the breakout success of Bank of America, the first bank in the US to launch mobile banking, with millions already using the bank's app daily to access their bank (and with 10,000 mobile users currently being added each day). 

This executive didn't buy my message. They insisted that nothing they were seeing was showing a shift in behavior. If anything, they believed the branch was getting stronger and the Gen-Y segment was just like any other demographic.

5 Bank Marketing Strategy 'Quick Wins'

With the start of a new year, financial institution marketers are under increased scrutiny to generate measurable returns on marketing investments. While it is important to focus on the 'big picture', moving  your organization forward to create long-term value, many institutions ignore 'quick wins' along the way that can build momentum. 

Winning organizations are advised to leverage a hybrid approach to marketing strategy prioritization, using short-term wins as milestones that are aligned with longer term objectives. When implemented correctly, quick wins have the added advantage of serving as clarion calls that signal deviations from the overarching roadmap to success.

Over the past few years, I have written several blog posts on specific bank marketing strategies for financial institutions looking to acquire new customers, improve product engagement, increase share of wallet, reduce attrition and enhance the customer experience. Some of the strategies are complex and are more difficult to implement, while others represent money that is left on the table if not initiated by a bank or credit union. 

The key is to effectively prioritize your strategies and implement those that meet your organization's goals while not burning unneeded resources.

Strategy Prioritization Matrix

A Strategy Prioritization Matrix (SPM) is an easy to use tool to quickly and easily identify those initiatives from a wish list that offer the highest return for the least amount of effort. This tool is especially useful for organizations that have more marketing initiatives than can be funded, or where human resources are limited (every financial organization I know).

The Strategy Prioritization Matrix quadrants include:

• Quick Wins (High Impact, Low Effort): These are the most attractive projects, giving you a good return for relatively low effort. Focus on these to build momentum and a strong ROI;
• Must Haves (High Impact, High Effort): While these provide strong returns, they take longer and use more resources, potentially crowding out viable 'quick wins'. While these are important, they only bring a return when complete. Set deadlines for completion but don't ignore their importance;
• Low Hanging Fruit (Low Impact, Low Effort): While tempting, don't focus too much on these unless they are creating a distraction to the accomplishment of either of the above. Do these in spare time, but put them to the side if a 'quick win' or 'must have' initiative comes along;
• Money Pits (Low Impact, High Effort): These strategies should always be avoided. Not only do they provide low returns, but they crowd out time that is better used on any of the other three quadrants.

Finding Serendipity in Big Data

Unexpected pleasantries always have a deeper impact. Like moments that surprise you as if a higher power had designed them just for you. The luck of making exciting discoveries by accident, love at first sight, coming across a childhood treasure at a yard sale, unintentionally coming across a precious memory or connecting with an insight that answers your dreams. These are moments that create internal warmth that can only come from unexpected joy.

Take, for example, a concert by your favorite childhood band, The Rolling Stones. Such an event has expectation, build up, and the experience of the moment. The joy is foreseeable. Now, imagine that you head to a local bar for a drink, and on that night a special guest is making an appearance. Without any prior notice, The Rolling Stones come on stage. Previously, such magical moments were only possible by two means. Organized by someone that knows you, or by fate. 

Guest Post By Scott Bales, Chief Mobile Officer, Movenbank

In today's digital world, it is possible for someone to know you well enough to create such experiences. This is because there has been an accelerated growth of data over the past five years, where every minute massive amounts of insight are being generated from every phone, website and application across the Internet.

In his post, ‘How Much Data Is Created Every Minute’ Josh James of Domo, dissects the world’s data creation in a unique infographic. Many innovative organizations have recognized the potential of this data, such as ESPN, which drives ESPN.com through Facebook open graph data to optimize the content a user experiences. Some financial organizations have also begun to tap into the potential of ‘big data’. In a world full of data to drive insight, however, there are still very few organizations that use all of the data at their disposal to enhance their offerings.