Prospecting—Intelligent Farming Strategies

Finding new customers/members is essential to growth for any financial institution. Consider this; there are about 36 million consumers who might be convinced to switch financial institutions. The opportunity is out there. According to an online Harris Poll, 38% of consumers considered opening an account at their neighborhood bank or credit union, but only 5% said they might actually do it. Convincing them to switch to your institution is the challenge.

Prospects are out there and they are interested in switching to local banks and credit unions. To reach and motivate them, your offers must be timely and relevant in addition to websites being easy to find and navigate.

To SEO or SEM …

The first step for most consumers is usually an online search. There are 3.5 billion Google searches a day! And that grows about 10% every year. Search Engine Optimization (SEO) and Search Engine Marketing (SEM) have been around a while now. When implemented properly, there should be an increase in the quality and quantity of web traffic. SEO attracts organic traffic to your site and takes more time to build. But it is unique to your brand and message. And it’s free. SEM isn’t. For an established fee, SEM helps gain visibility and funnel traffic to your site. In its ideal form, your institution appears at or near the top of the search results page.

This is not an either/or proposition. They both increase traffic and brand credibility; they both need to be part of your marketing budget. SEO may take more time to ramp up, however, it’s more sustainable and not easy for competitors to imitate. On the other hand, SEM delivers faster results, scales easily and targets specific segments. Used together, they optimize your search strategy to drive more viable leads.

When developing your search engine strategy:

  • Determine keywords based on strengths
  • Create compelling, keyword-rich content
  • Tell your unique story
  • Think like a customer/member

Location-based Marketing

Mobile has disrupted everything by transforming customer experience and expectations. The one term tied to mobile is “on the go.” People are no longer attached to one place. Location-based marketing takes advantage of that mobility by delivering offers based on physical proximity.

Geo-fencing

Geo-fencing creates a virtual perimeter around a business solely to target advertising. When a compatible device enters the perimeter, it receives an alert and/or email. For example, if a potential lead is playing on their phone within a defined perimeter, the lead might receive targeted advertisements for other businesses within the geo-fencing zones.

  • Establishes virtual fences to give marketers incredible control over placement.
  • Utilizes a virtual barrier around a phone’s IP address.
  • Displays ads on a device within the pre-established area
  • Targets those entering and leaving the perimeter, regardless of whether the location is your own or that of another

Geo-targeting

Geo-targeting is more focused than geo-fencing. It delivers messages based on location, past purchases and data points like demographics and P$ycle. The more data you have, the more you know about your customer/member and the better you can deliver relevant messaging. Data sources and segmentation are essential for a successful geo-targeting campaign. Using an industry benchmark of 0.40%, financial institutions’ click-through rate (CTR) performances for geo-targeted mobile displays improved to 0.64%.

  • Find the right venues where your prospects are most likely to be
  • Exclude locations where your prospects are not likely to be
  • Use location-based keywords
  • Analyze data sources
  • Use segmentation

Beacons

Bluetooth beacons are discreet, wireless transmitters retailers place around their stores. When beacons detect a shopper’s Bluetooth enabled app, it sends a signal and the app is activated and the shopper receives relevant communications. For instance, in the retail world, someone browsing boys clothing could be alerted to a great sale on hoodies or sneakers. Financial institutions can set up branch beacons to enhance customer/member experience and deliver relevant offerings. Standard push notifications garner a 7.8% open rate; beacon notifications average a 22.5% open rate. This low-cost solution is an effective way to deliver relevant messaging to a targeted audience.

  • Improves in-branch conversion rates
  • Alerts customers/members to relevant targeted offers
  • Tracks and guides in-store movement

Responding to prospects.

You’ve optimized SEO and SEM strategy. You’ve expanded and enhanced location-based marketing. The leads are coming in. Wouldn’t it be great to engage in real-time while they are still actively engaged? We’ve all experienced it. Search for ACME Shoelaces, and shoelace ads and banners start appearing. Marquis enables similar prospect communication through WebTrax, a part of our DocuMatix on Demand digital product suite. But, instead of showing banners and ads, it sends emails and letters. It enables an automated, secure, non-invasive method to monitor traffic and make offers. Once a lead visits your site, WebTrax notes which pages are viewed, then automatically sends communications based on the pages visited. One Marquis client attributes over 50 accounts and $1 million in balances directly to WebTrax, with a 5.6% response rate over a 90-day tracking period.

When leads visit your site and opt in, they receive relevant, personalized offers they can relate to. It shows your bank or credit union is interested in them as unique individuals and understands their needs. This is key in attracting 58% of consumers who prefer community financial institutions, hopefully motivating them to make the switch and open an account.

Four Segmentation Models for Increased Sales, Deeper Relationships and Stronger Retention

Personalization is a marketing imperative. But it is virtually impossible without segmentation, or the grouping of members/customers with shared characteristics. Successful segmentation allows an institution’s understanding of members/customers to shine through marketing. It lets members/customers feel special and appreciated and is one of the primary retention drivers. Did you know 56% of consumers feel an increased loyalty to brands who understand and act on their personal preferences, priorities and differences?

Defining Segmentation Models

It can be confusing finding segmentation models that apply to financial institutions. Unlike the retail world, a returned product does not present an opportunity to delight the consumer. A closed checking or savings account could indicate that household will not be interested in future products and services. Financial institutions require more focused segmentation models.

When defining segmentation models, financial institutions need to consider opportunity and risk factors, the ability to cross-sell and the likelihood of account closure or balance diminishment. When you take into consideration the vast amount of data available to financial institutions, segmentation can deliver a deep understanding of your members/customers. The following segmentation models enable financial institutions to create winning campaigns founded on personalization. The right message is delivered to the right household at the right time.

Segmentation Model 1: Value Scoring

Value Scoring is an analytical approach that leverages information such as profitability, balances, tenure and product mix to help identify members/customers that drive value. Value Scoring allows you to rank households based on the value they bring to your institution, then compares and contrasts households based on profit, balances, tenure and number of unique products.

This is extremely helpful since losing one major household requires adding eight new average households to make up for the loss. By determining your most valuable members/customers, you can use the Value Score to guide your marketing strategies and nurture those top relationships.

Segmentation Model 2: Lifestage

To determine Lifestage, this model leverages demographic ingredients to provide further visibility into the member/customer based on their financial lifestage. After all, a college student has different needs than new parents. This model gives you the data you need to create campaigns targeted at members within various lifestages and their propensities for having a baby, taking a vacation or paying for a wedding. It enables greater insight on buying activities and behavior. This, in turn, helps craft solid member/customer profiles to inform and influence marketing campaigns.

Segmentation Model 3: Look-alike

Look-alike segmentation learns from those who engage, and finds those who fit a similar profile as the performers. Once you have your customer/member profile, you can evaluate it to find those who fit a similar pattern. For instance, Mary is a 40-year-old mid-income, married female with two children. One is 16. She recently took out an auto loan and each year she establishes a vacation savings fund. Kay is also a 40-year-old mid-income, married female with two children. But she doesn’t have an auto or personal loan. As Mary’s look-alike, offering her an auto or personal loan makes more sense than a credit card offer.

Profiling consumers based on a household’s relationship, lifestage and demographic data allows you to define target audiences based on those attributes and group them together. Then, your team can create offers that the group has a propensity for and potentially bump them into a higher value group.

Segmentation Model 4: Next Product

This is where art meets science, leveraging many of the aspects of the other segmentation models and is best used for point-of-sale channels. Purchasing patterns exist. What’s a hamburger without fries? Pizza without antacid? Analyze your data to determine who buys a specific product, then determine which products they are likely to buy next. For instance, an auto loan can be easily tied to opening a checking or savings account to expedite monthly loan payments.

Go forth and segment.

Once the data is gathered, it’s time to put it in action. For over 30 years, Marquis has helped financial institutions across the country create winning marketing campaigns with measurable ROIs. We focus on adapting proven marketing strategies to the specialized needs of banks and credit unions and have developed a three-step process for leveraging marketing segmentation.

Assemble: Leverage available data sources to identify which variables best select your target audience.

Analyze: Group data sources into segments to simplify your tactical options.

Act: Leverage automation and repeatable processes to act on the segments identified, creating more granular options based on member/customer personalization, including channel preference, product preference, tailored offers and much more.

Putting it all together.

Financial institutions have access to large quantities of data, and that data needs to be segmented, analyzed and used to create intuitive and relevant marketing messages. When segmented properly, it will elevate overall marketing results, allowing you to retain and upsell your members/customers while maintaining their loyalty.

You’ve got the data. You’ve got the strategy. Let Marquis help you put it into action!

*ABA endorses ExecuTrax and OnTrax data analytics solutions for marketing and business intelligence.

Six Relevant Data Sources to Create Better Connections

It’s clear. In today’s data-rich environment, retailers must optimize the consumer experience to drive business through actionable insights. 83%[1] of marketers exceed their forecasted return on investment (ROI) by implementing personalization driven by data. 91%[2] of consumers assume brands will recognize and remember them. With first-year churn at 50% for financial institutions, it’s understood that personalization can help reverse that trend.

 “Data is the new oil. It’s valuable, but if unrefined it cannot really be used.”

Dave Humby, Chief Data Scientist at Starcount

Oil starts as crude and is only usable after it’s been refined. The same goes for data. To make it actionable and provide a personalized experience, we need to draw from multiple data sources. The following six data resources will help align your audience with your marketing efforts and help you create timely and relevant communications.

Key Data Source 1: Demographics

Demographics, the study of a population and its components, provide insight into a household’s composition, including finances, life events, buying activities, buying behavior and major purchases. They also deliver facts, like age, gender, income level, race and ethnicity. These components help create solid customer/member profiles and are the foundation of any successful campaign.

Demographics, in combination with your core data, help determine segmentation, where they exist and their basic characteristics. Armed with this knowledge, you can confidently develop your marketing strategy and plan.

However, demographic data is limited. “It offers a singular view, like a snapshot in time,” offers Amy McConnell, VP of Marketing Strategy at Marquis, a financial services market leader. “To really harness the power of demographics, you should use this intelligence in conjunction with other data sources.”

Key Data Source 2: Psychographics

Psychographic data sets explore values, attitudes, interests and personality. From them, we can gain a deeper understanding of our financial institutions’ customers/members. This intelligence gives us insight on where they work, play and how they spend their money. All of which aids in understanding who our customers/members are and how to best reach them.

These insights into individual tendencies enable you to build a robust behavior profile, deepen your understanding of segment behavior and assist with strategic media placement. “Psychographics allow you to target smarter by knowing and finding who needs your financial institution’s services,” McConnell added, “They also help drive retention and enhance product offerings based on usage patterns.”

Key Data Source 3: Propensity

Propensity data defines who is in the market for a specific product, like an auto or mortgage loan, and who is likely to have products elsewhere. Drawn from transactions, online and social tracking, surveys and more, propensity data predicts brand affinity along with customer/member preferences and behavior. This data enables strategic targeting and allows you to implement a mirroring effect. However, propensity information is only the likelihood a consumer is interested in specific product, not a guarantee. It’s best to couple this information with other relevant data sources.

Key Data Source 4: Mapping

Mapping converts data into visual references based on location. The visual effect creates a new perspective, making customer/member and prospect clusters as well as their proximity to you and competitors’ financial institutions more visible. For example, in an area dominated by apartment buildings, a personal loan may seem appropriate; however, when demographic, psychographic, and propensity data are overlaid, the dwellers may be more prone to be in the market for a mortgage. It is important to partner with your compliance affiliates to avoid regulatory concerns and mitigate any risks with the usage of mapping and demographic data for marketing perspectives.

Key Data Source 5: Credit Scores

Credit score data leverages a secondary credit risk ranking to help create segments and determine opportunities. A strong credit score is a great indicator for prequalified offers and prescreening for credit increases and activations. However, credit monitoring services, like FICO, are highly regulated. If used with close monitoring and approval from compliance affiliates, the data can help create a powerful and personalized experience to delight your customers/members and strengthen your connection.

Key Data Source 6: Credit Monitoring

Credit monitoring data allows you to know what customers/members are doing outside of your financial institution. “What if you could monitor what your customers and members are doing outside of your organization and take action on it?” asks Andrew Lampkins, SVP of Marketing Client Relationships at Marquis. Credit monitoring helps drive timely and relevant marketing messages at the right time.

Data Management and Reporting

With the vast amount of intelligence collected from these sources, interpreting the data often can be daunting, time consuming, and utilize multiple resources. Using a partner to collect and interpret the data may help to alleviate the strain. Companies like Marquis put their experience and expertise at their client’s disposal. Marquis’ insights help develop strategic marketing plans based on their data, the institutions unique customer/member base and the financial institution’s product offerings.

Without measurable results, ROI can be attributable to other sources. Marquis also offers reporting tools to help their clients discover what campaigns are successful and where programs can improve. The Marquis NEXT Reporting Tool delivers a complete view of campaigns, from product performance to opening rates. Lampkins adds, “A tool like Marquis NEXT is ideal to see the growth of new products due to your campaigns.”

Go Forth and Personalize!

Data is valuable. The insight it provides is the basis of any personalization which guides us on who to target, what consumers want, when they want it and where they are most likely to view the message.

For these reasons, these six data sources are essential to your marketing strategy. They are the keys to winning campaigns with compelling offers and a personalized experience. You’ll gain valuable insights, allowing you to learn more about your audience and their needs. Multiple data sources will also uncover new marketable segments that enable continuous growth. Most importantly, personalized content with the right message delivered at the right time creates loyal and lifelong customers/members who will turn to you first for their financial needs.

[1] Invesp https://www.invespcro.com/blog/data-driven-marketing/

[2] Accenture https://www.accenture.com/_acnmedia/pdf-77/accenture-pulse-survey.pdf

Getting Your Message Across Without Shouting in a Storm

In a little more than a decade since the global financial crisis, things are looking up, especially for U.S. financial institutions. With the calmer waters comes fierce competition. On top of brick-and-mortars, Fintech and Neobanks are hitting their stride while Big Data companies like Amazon and Google are jumping on the lending wagon. Consumers are bombarded with messaging from all sides. How can your bank or credit union’s voice be heard through all this static?

Attracting and Retaining Households

Although it’s true that spending is up, acquiring new households is down and retaining current ones is an issue. Half of all accounts are single-service households. This presents potential retention issues, especially since new single-service households are 50% more likely to leave within a year. The likelihood of leaving halved if they add just one more product. With four products, the potential for leaving decreases to a mere 5%. Concerted efforts to add at least one more product to a household is essential for retention. But it has to be personalized and sent at the right time to the right person. Flooding households with untargeted messaging just doesn’t work, whereas a vehicle loan offer aimed at households with teenagers might do the trick.

Meeting Consumer Expectations

Today’s consumer voluntarily supplies enough information for brands to know and predict their preferences. Nearly three-quarters of global consumers expect brands to treat them as individuals, not anonymous parts of a larger whole. In a world of anonymous avatars and usernames, they expect brands to use the data to approach them as individuals with relevant, personalized experiences. That includes financial institutions.

The Backbone of Effective Marketing Efforts

It’s no secret. If properly utilized, Big Data enables the personalization consumers are looking for. When properly interpreted, you’ll know who your customers/members are, what they need, and when to engage them. Take it one step further to increase growth and profitability by leveraging the data for Growth Analytics.

The Analytics Growth Engine

Growth Analytics is used to identify growth attributes and metrics. An Analytics Growth Engine gives direction and purpose to your Growth Analytics by combining artificial and human intelligence to deliver insights to fuel consistent and predictable revenue growth.

Mark Gibson, Senior Consulting Associate at Capital Performance Group, suggests that growth engines for financial institutions need to have specialized stages.

Stage 1 – Prospecting

Stage 2 – Acquisition

Stage 3 – Onboarding

Stage 4 – Activation & Utilization

Stage 5 – Relationship Expansion

By using data and analytics as tools at each stage, you’ll have precise and scalable data that measurably improves performance and efficiency.

The Super Tools

A strong marketing plan is based on how consumers learn about and buy financial services. It’s about the journey from the prospect to full engagement. Gibson’s Analytics Growth Engine model requires data be applied as a tool to each stage of the process. These tools – Segmentation, Targeting, Engagement Strategies, Life Stage Marketing and Customer Value and Attrition Propensity – lead to a deeper understanding of customer/member needs. In turn, offers are more pertinent to targeted consumers and likely to elicit a response.

Putting It All Together

You have your Analytics Growth Engine. You have your super tools. When the tools are applied, insights will be more meaningful, leading to increased sales, deeper relationships and stronger retention.

Segmentation is the foundation of any targeted marketing strategy. Before prospecting, determine who your best customers/members are, what products and services they use and where they are on their financial journey.

Use Targeting at Stage 1 Prospecting to find prospects who resemble your best account holders. Combine predictive and look-alike modeling with third-party data to target individuals with potential for best value and profitability based on your Segmentation analysis.

Use the Engagement tool to define the onboarding process. Understand what services and products a fully-onboarded customer/member uses. Realize the vision by applying the Engagement tool to Stage 2 and 3 of your Analytics Growth Engine to develop a personalized approach for each customer/member. Then, use the Engagement tool for reboarding to increase activation and utilization.

Life Stage Marketing is perhaps the most important tool for customer/member personalization. Apply it to Stage 4 Relationship Expansion to understand where each customer/member is on their financial journey. Now, you can give relevant advice and predict what products make sense for your customer right now. For instance, a HELOC is meaningless to a 20-year-old college student, but a student checking account might do the trick. This tool helps deliver the right message at the right time.

You’ve reached Stage 5 – Relationship Expansion and your prospect is fully-engaged. Use the Customer Value and Attrition Propensity tool to determine their value to your organization. This allows you to fix a value on retention efforts in both time and money by targeting accounts that historically realize the most value.

You Are Not Alone

Developing a robust Growth Analytics program driven by a strong Analytics Growth Engine is essential in today’s banking landscape. However, most financial services marketers are short on time, training and manpower. Even though financial institutions have remarkably more data than other lines of business, many are unprepared to make the most of this opportunity. But consumers expect us to know who they are and what they want before they even know themselves. If we don’t deliver, we risk losing both prospects and current customers/members. That’s where a company like Marquis can help by leveraging the strength of technology, analysts and creative services needed to extend your reach.

Marquis works closely with your team to develop a strong marketing plan dedicated to attracting new customers/members, expanding product adoption and increasing product use. The Marquis team assembles data sources and provides the tools and expertise to analyze and understand customer/member relationships and opportunities. Using Big Data and Growth Analytics, companies like Marquis become your partner, helping you elevate performance and increase effectiveness. They become your Analytics Growth Engine.

Time for Action

To successfully compete in the current environment, you must engage with customers/members on a deeply personal level and develop a marketing strategy that meets consumers’ expectations of personalization. An Analytics Growth Engine puts your vast amount of data into context to discover new opportunities and promote revenue growth. It’s how you attract prospects and engage with those customers/members most likely to add new products. It makes your message heard in the ultra-competitive world of retail and business finance.

Image courtesy of Mark Gibson, Senior Consulting Associate, Capital Performance Group.