In the turbulent sea that is today's business environment, customer relationships, like the shoreline, are lashed by waves and are continuously changed and shaped. Similarly, constant waves of customer interaction sweep over your business touchpoints, leaving broad expanses of granular data. As the shoreline changes by the day or hour, businesses can now predict the tides of customer needs and the business' destiny.

You must find ways to mine the data, learn from it, use it ­ because all of the marketing and revenue opportunities your business will ever need reside in those turbulent waves and countless grains of sand.

Analytical CRM is helping companies navigate this tumultuous sea to create more enduring and profitable customer relationships by identifying opportunities to dialogue with individuals.

Analytical CRM

CRM analytics include segmentation studies, customer migration analysis, cross-sell/up-sell analysis, new customer models, customer contact optimization, merchandising analysis, customer attrition and churn models, credit risk scoring, lifetime value (LTV) modeling and much more. Analytical CRM ­ focused on creating and communicating rich, relevant personal content to customers ­ is completely different from its fraternal twin, operational CRM. Operational CRM refers mainly to touchpoint- focused interaction systems.

Analytical CRM is a source of tremendous power. For example, most marketers promote to customers based on their current value. However, customer value changes. Do you want to predict how your specific customers will move? How about modifying that movement in a mutually satisfying direction? Customer migration analysis can help you communicate and market to your customers in ways that move them up the value chain. You can also use CRM analytics to:

  • Segment your customers by business value. Next, model them to predict their migration into a spectrum of value segments. Then, simulate and predict customer buying behavior based on a variety of promotion strategies.
  • Perform a marketing-influencers analysis to identify which customers can be influenced in their value migration ­ then communicate to them in ways that move them in the right direction.
  • Make accurate assessments of each customer's affinity to a message, product or service.
  • Learn how frequently you should contact each customer ­ and which channel you should use for specific messages.
  • Perform very detailed analyses ­ market- basket analysis, product structure analysis, cross-product correlation analysis, multiple campaign response models, customer growth models, churn and attrition models, and customer lifetime value models ­ to spot profit opportunities.

That is only a sample of what you can do with integrated CRM analytics. That's why analytics has become a driving force for new profitability opportunities. With all of the hype around analytics, you might think that this is a new phenomenon; however, customer analytics have been around for decades. Be careful not to assume that your previous statistical analysis programs and models are performing the CRM functions recommended. A careful review of "how" you perform the analysis may uncover limitations.
Companies around the globe have used data warehousing technology to analyze and understand their customers better since the 1980s. In 1997, IDC coined the term "analytical applications" indicating that the technology had advanced to automate what companies had been doing for years.

Today, the smorgasbord of CRM analytical applications is enormous. Vendors are racing to the marketplace with new analytical features and functionality at a breakneck pace. However, wise marketing teams will adapt CRM technology ­ including analytical tools ­ at a steady, manageable pace that is in line with a solid customer relationship strategy.

Because there are so many analytical application choices, it is important to choose applications and models that will pay dividends in both the short and long term. You want to find technologies that will grow and evolve with your business. To accommodate the multiple analytic tools that you will need to execute your strategy, you will need an integrated knowledge base.

A Credible View of Your Customers

An integrated knowledge base, especially important in CRM, is similar to the retention of all of the experiences and interactions that you have had with someone throughout your life. For example, you have good and bad memories, good and bad experiences and knowledge, and good and bad feelings (evaluations) related to the experiences you have shared over time. Having this knowledge and being able to act on it in a timely manner is what makes businesses most successful.

Some companies limit their potential when they implement departmental-level databases that are not coordinated or integrated at the enterprise level. This means that each analytical application is using a separate customer knowledge base to arrive at conclusions about each customer. That leads to an incomplete picture of the customer relationship and sometimes drives corresponding miscommunications. Occasionally this results in irrelevant or intrusive customer messages. Can you afford to risk the relationship and corresponding business value? You can prevent this with an integrated "info-structure" using a scalable enterprise data warehouse as the basis for business intelligence. The return on investment can be very high.

Hundreds of companies around the world have implemented this strategy and the evolving enterprise data warehousing approach. Increasing focus on CRM has caused companies with existing enterprise data warehouses to advance into more mature stages of information management by adding the customer view to their enterprise data warehouses built around detailed knowledge to provide a new single view of the customer or a single view of the truth.

These companies have also added analytical CRM to the enterprise data warehouse knowledge infrastructure. This raises the company's marketing IQ and return on investment (ROI) with tools that analyze and interpret detailed data while also providing the power of predictive analysis ­ to deliver higher, "actionable" intelligence where statistical insight is enhanced with analytical foresight.

When companies build high-velocity customer- centric knowledge hubs, there is competitive advantage and profitable revenue growth. The key is an integrated common foundation that enables a consistent customer view, analysis and action across the enterprise. Further, the ROI for effective CRM projects has been exponential, surpassing typical financial investment expectations of 30 to 80 percent tenfold.

In addition to monetary paybacks, results achieved may also include more positive organizational and customer behaviors, improvements in channel operations and achievements, or the enhanced ability to drive value through fast market entry with a new product or service. Adopters of CRM with a basis of a customer- centric enterprise-wide knowledge repository (data warehouse) can be assured of more insight about their customers, but also action-driven or event-driven effectiveness and efficiency of their marketing and customer communication processes.

A Holistic Customer View

It is critical that this knowledge cover all channels and customer touchpoints so that the information base is complete and delivers a holistic and integrated view of each customer. In fact, a holistic view should include: all customer transactions, all interactions, all customer denials, all service history, new characteristics and profiles, interactive survey data, clickstream/browsing behavior (from tracking systems), cross and direct references, external and internal demographics, psychographics and, in fact, all available and useful data surrounding each customer. This may also include data from outside your business.

Based on this holistic customer view, different departments ­ marketing, sales, production, operations, delivery, service and finance ­ can conduct business sharing the same view of each customer. As a result, each individual customer experience with the company is consistent ­ and mutually satisfying. Therefore, relationships can be shaped more effectively.

Certainly, a holistic view of the customer ensures that predictive analysis and modeling efforts are consistent and more accurate ­ driving more efficiency and effectiveness in marketing and customer communications. This, in turn, can drive higher customer response rates to messages and offers ­ spiraling upward to more revenue and greater share of the customer.

From a marketing and customer communication perspective, an integrated customer-centric data warehouse is a clear business advantage. This alone delivers a holistic view of your customers. Data warehousing professionals as well as marketers understand that a central source of enterprise information boosts the effectiveness of your business operations while delivering cost efficiencies. That's why so many companies are now turning to customer-centric data warehouses and using CRM as a profitability driver.

Yet there's more to this story. As Paul Harvey would say: "Page Two!"

More Successful CRM

To truly excel at CRM, you need up-to- the-minute information about the needs, values and wants of your customers. The world's most sophisticated tool can be rendered less effective if the data cannot be loaded and accessed in a timely manner and at frequent refresh rates. Leadership companies gather all the disparate data from many touchpoints and external sources and bring it together in a common, centralized repository ­ in a form that is available and ready to be analyzed. This helps ensure that the business has a consistent and accurate picture of every customer ­ and can align its resources according to the highest priorities.

Therefore, with the right CRM info-structure ­ a customer- driven data warehouse ­ you can truly know (rather than just hope) that you are delivering the customer insight and foresight your marketers need to generate positive business results and competitive advantage.

Creating a CRM Process

Once the detailed customer data warehouse is in place, you will need a disciplined process to create and manage those incoming waves of fresh intelligence. You will need a process to manage the enormous quantities of data ­ and to build more timely and relevant customer communications.

A four-step process illustrates the CRM intelligence management cycle: collection (of data), analysis (plus modeling), action (with personalization and optimization) and effective measurements. Of course, your company will need the best technology tools to support and manage the process for maximum business value.

Figure 1: CRM Intelligence Management Cycle

Collection: Once you have an enterprise-class customer data warehouse foundation in place, it will evolve and grow. The organization must evaluate and put in place a robust infrastructure of all the customer data throughout the enterprise. This means collecting all customer interaction data as well as transactions to manage the complete depth and breadth of the customer relationship. The organization also needs to collect key operational and financial data such as channel capacity and profitability drivers (activity-based costs, transfer prices, etc.) in order to analyze the company's ability to meet customer demands and understand the financial implications of current and future behavior. You should also be prepared to selectively append customer data profiles to shed further light on each customer and make various operational decisions, including credit authorization. The importance of this step to your success in the rest of the process cannot be overemphasized.

Analysis: As data is being collected, the business must have the tools and resources to analyze it to gain insight in these areas:

  • Customer behavior and preferences in order to uncover ways to better serve each customer. The more complete the view of each customer, the better the relationship dialogue you'll be able to conduct. This will provide the capability to enact customer- based strategies that meet customer needs within organizational abilities and constraints.
  • Operational factors such as channel capacity and design, sales effectiveness across Web, kiosk, direct and indirect channel effectiveness.
  • Financial factors such as customer profitability, cost allocation, consumption of resources to sell/service the customer, etc., in order to determine the key opportunities for improving profitability, whether those be customer-related activities or operational activities.

To accomplish this, you will need a set of analysis and modeling tools. Analysis tools provide marketing users the ability to evaluate customer profiles and behavior, and identify communication opportunities. Often, these tools will also evaluate customer responses and event behavior. Modeling is more complicated and is simplified by new tools that help your marketing team identify and predict meaningful and profitable customer communication opportunities. Once your customer models have been identified and built, you will have the intelligence to take effective action.
Action: Once you understand your customer relationships, you need to put that intelligence to work for your business. Once analysis has been conducted, a course of action will be determined. At this point, your business needs customer communication tools to plan and execute communications based on analytical intelligence. All customer communications are not alike. You will want the ability to plan and automate all types of customer communications ­ from prospecting to multistep dialogues ­ over time.

Each customer is different. To be successful, your company will need to relate to customers in personal ways ­ ways they have told you/shown you (by their past behavior) that they want to be treated. This process is commonly referred to in CRM practice as personalization. There are tools that enable this functionality. Look for the ability to personalize based on the holistic customer view. Remember that no personalization is sometimes better than trying to personalize based on an inadequate picture of your customer.

With multiple communication opportunities with each customer, there is a high potential for too many or conflicting communications which can hinder the relationship. Optimization capabilities can prioritize communications across all channels and ensure that you communicate effectively with each of your customers. Optimization should be based on the priority of the message and the availability of resources to act within a particular time window. Once leads are selected, they should be filtered and prioritized according to your company's business rules. Putting people into action using the leads drives much more action than just sending out letters, flyers, e-mails or offers.

Finally, you will have to manage all your customer interactions to ensure a consistent customer experience. Remember to include all touchpoints such as direct mail, kiosks, POS, call center, Web, e-mail, ATM, store/branch and sales contacts. Optimization will reduce the conflicts that may occur in channels.

Measure (Results)

In order to ensure it is creating business value and practicing intelligent CRM, the organization must measure the effectiveness and impact of its CRM activities. Performance can be evaluated in a number of ways. For example, you might start by comparing year-over-year business performance improvement numbers in these terms:

  • Marketing campaign gross margin and revenue,
  • Campaign costs,
  • Revenue and gross margin from targeted customers,
  • Percent change in CRM-related revenue and costs year to year,
  • Total customers in database showing real profitability, and
  • Revenue and gross margins on each customer in the database.

Some CRM software products on the market will help you capture CRM ROI by campaign, measuring costs and revenues on a per-contact or per-campaign basis. I strongly suggest that you establish a solid foundation for measuring your CRM performance. If you need help, there are experienced CRM service consultants that can help you. Real estimation and process evaluation of ROI is essential for success. As your organization evolves, this measurement phase enables adaptive learning where marketers can assess what is working and what is not and make changes to refine the intelligence-management process.

Continuous Learning

Someone once said that insanity is doing the same thing over and over and expecting a different result. Get the right analytical foundation in place, and you're ready for analytical CRM that works ­ that feeds intelligence to your operational systems and helps you build relationships that meet your strategic business objectives. Use the feedback in your data warehouse to continually learn from the interactions and positive/negative results.

The real value of analytical CRM is its ability to identify a customer at a point of need. That's where all marketing opportunities begin! When the point of need can be more accurately identified through analytics and relevant personalized communications delivered through the right channel, then customer relationships can be enhanced leading to increased marketing success and customer loyalty.

Thus, with analytical CRM, an enterprise-class data warehouse and a disciplined knowledge creation process, you can expect favorable winds to propel your business to new destinations ­ places that your customers and shareholders will appreciate in the years ahead. The waves of loyal customers generating increased profits will define new winds of opportunities along your dynamic competitive shoreline.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access