Predictive Analytics is the Future of Financial Marketing

Analytics has been at the core of retail bank marketing for decades. But despite the proliferation of data, the ability to effectively leverage insights for a personalized customer experience and enhanced profitability has remained elusive.

Given the tremendous advance in analytic tools available and the processing power generated by cloud-based architectures, the banking industry needs to take a major step forward to meet the expectations of an increasingly discerning customer base. In short, the industry needs to move from using data to build great internal report of past events to using data to build great customer relationships and experiences based on future needs.

It is clear that the industry must move away from the siloed approach that has always defined banking, toward a model where the focus is on customer needs. This advanced analytic approach has the power to reinvigorate the relationship with customers while increasing satisfaction, improving profitability and building trust at a time when large and small competitors are providing new customer-centric digital solutions.

A report from Aite Group, entitled Predictive Analytics: The Path to Competitive Differentiation, examines the state of marketing analytics, the data sources available, analytic techniques being applied, and how digital interactions with consumers will evolve in the future.

Most financial organizations realize they have a massive storehouse of data, but few know what data is important, or how to leverage this data for increased revenues and lower costs. And as channel proliferation increases, the ability to know what channels are the most effective and efficient to reach any individual consumer is getting more difficult. According to Aite Group, “FIs will have to figure out how to better insert themselves into a digital world and find unique ways to engage consumers in interactions based on their needs, life stages, aspirations, and account spending.”

Some of the market trends that marketing must take into account include:

At a time when customers are interacting with their financial institution through multiple channels, the explosion in consumer data can help banks and credit unions generate key insights that can respond to new market trends and changing consumer behaviors. This can help organizations create better products and personalized experiences which can increase revenues and decrease costs. The results from a predictive marketing perspective will improve the ability to pull consumers in rather than push products out.

In the past, marketing analytics focused on what had already occurred … similar to looking into a rearview mirror. Today, analytics provides the opportunity to look into the future … similar to a ‘financial GPS’ … anticipating consumer needs. This is what is expected by consumers becoming accustomed to the predictive capabilities of giants like Google, Amazon, Facebook and Apple (often referred to as GAFA).

According to FIS’ 2016 PACE Index, 56% of consumers anticipate at least one life event with financial implications in the next 36 months. Nearly 75% of Millennials expect such an event during the same period, including tuition payments, a house purchase or the purchase of a car.

Interestingly, only one-in-three U.S. bank customers surveyed ranked their primary financial institution as the first place they would turn for major life events that required a financial investment. That leaves at least twice as many customers who may consider an alternative resource, particularly when it comes to investing or retirement planning.

Despite the desire to use “big data”, most financial organizations have had limited skills, challenges dealing with data sources and silos, had limited budgets and/or lacked organizational support.