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Customer Analytics

The Customer Insights’ Imperative for CMOs

June 7, 2018 by Lisa Minneci Leave a Comment

News & Events

“The most critical capability of the CMO is to have a profound, deep understanding of customers and their needs and know how to engage and serve them.  This of course involves knowledge of data and analytics. – Jamie Moldafsky, CMO, Wells Fargo, in “Redefining the CMO,” Deloitte Review, issue 22.

According to a recent study by the CMO Council and Deloitte, “CMOs have been increasingly asked to elevate their activities from brand and marketing plan management to acting as an enterprise-wide revenue driver that taps into the hearts and minds of their customers.”  Based on this research, Deloitte makes three recommendations on where CMOs should start.  One of these recommendations is to “relentlessly pursue customer expertise.”

The imperative is clear: today’s CMO is no longer just the brand steward, but also the customer steward.  He or she should be able to steer marketing strategies and activities that, as the report mentions, “engage customers with messaging that better speaks to their needs and values, establishing an ongoing relationship rather than a transactional one.”

The question then, is how the CMO becomes the customer steward.  Part of the equation involves traditional marketing tools and techniques such as personas, NPS, and focus groups in order to fully understand the customer (or customers) and how to meet their needs.  The other part – as mentioned by Moldafsky in her quote – is having a knowledge of data and analytics.  Today’s CMO must be able to analyze meaningful customer data in order to “lead the customer-centric charge.”

Unfortunately for many CMOs that presents a technical challenge, and for some, one that simply does not fit within their marketing budget.  The technical challenge is how to build an enterprise-class customer analytics platform that enables you to ask vital questions of your data.  And yes, it’s almost always build – even if you buy a software package, most require a significant amount of customization and development in order to make it integrate with your existing systems, deliver the answers to your business questions, and is user-friendly.  On top of that, you may also need a data scientist to build out the questions and structure the data so that those questions can be easily answered.  All of this takes time – many months – and money.  Lots of money.

You might be a CMO with a fairly unlimited technology budget. But chances are you do not have unlimited time. The average CMO has a tenure of just 4.1 years, which is half the average tenure for a CEO, and less than that of a CFO, CIO, or CHRO.

How do you, the ambitious CMO who understands the opportunity to be the customer steward and the challenges presented with a traditional approach to a customer analytics platform, resolve this inherent conflict?  The answer is simple: you seek out technology that is built for marketers, but robust enough to deliver the insights you need. One that works with your data, but that does not involve months of development efforts.

This approach puts you on the path spelled out in the Deloitte report: “CMOs wishing to transform their role can take advantage of their unique position to elevate themselves as the customer expert with stakeholders across the enterprise.”

Read more blog posts on customer insights and analyzing customer data:

Pull a Rabbit out of your Hat – or at Least Pull Insight from Your Data

Revelwood Named IBM Customer Analytics Partner of the Year

Home » Customer Analytics

Filed Under: News & Events Tagged With: Advanced Analytics, Analytics, Cognitive Computing, Customer Analytics, Data Science

Net Promoter Score and Customer Outcomes

January 15, 2018 by Justin Croft Leave a Comment

News & Events

We’ve worked with hundreds of companies who primarily measure their customer relationships with one metric: Net Promoter Score (NPS). NPS measures customer experience and predicts business growth by asking one simple question: how likely are you to recommend the company’s product or service? The score is calculated on a 0 – 10 scale based on the response, with those scoring 9 – 10 considered “Promoters,” those scoring 7 – 8 considered “Passives,” and those scoring 0 – 6 considered “Detractors.” The more Promoters you have, the higher your business growth potential is. NPS is seemingly easy to measure and easy for employees throughout the organization to understand.

Marketing and service groups who measure NPS tend to swear by it – and proudly proclaim their 5, 10, or more point increases in NPS that are attributable, loosely, to a new initiative or campaign. Sounds great. So what’s the problem?

Here’s the Problem…

Asking the Right Questions about Customer Outcomes

While Finance is watching the numbers, Marketers are too often focused on moving metrics like NPS, Facebook likes, and Instagram followers that don’t necessarily contribute to the bottom line. You’ve got all this focus on the customer and customer-related activities to move NPS, while NPS doesn’t impact what you think it does.

In fact, research shows that NPS is not correlated with the financial outcomes most organizations care about. According to “Which Customer Metric Best Predicts Financial Performance,” by The American Marketing Association, “Net Promoter Scores are are not backed by any credible evidence of financial predictive ability but have caught on because they seem simple (one item measures it all), prescriptive (you can compute the promoter score for every customer segment) and falsely encouraging (increasing promoter score is believed to increase sales, revenue, share and profits).”

The article goes on to explain that studies show that a higher NPS doesn’t correlate to increased sales, profitability, cash flow, market share, or shareholder value. Instead, customer outcomes such as purchases, attrition, etc., play a huge part in the financial success of an organization. Many marketers are just asking the wrong customer questions.

Asking the Right Questions

What’s the best way to measure and improve customer relationships? There is a better approach to customer measurement. It’s more complicated than a 0-10 scale, but customer relationships can be measured and improved scientifically. We guide our clients towards three major areas of the customer relationship:

  • Retaining the Relationship
    • How do you keep each individual customer’s business?
    • Which customers do you not want to keep?
    • How long have you got with each customer?
  • Growing the Relationship
    • Which customers are likely to buy more (or less)?
    • What is each customer’s next best recommended product or service?
    • How do you sell more, and in a personalized way?
  • Beginning the Relationship
    • Which type of customers do you really want to acquire?
    • How do you attract the right customers?

Attentive readers will note these items are listed in reverse chronological order, and that is intentional. Revelwood recommends starting at the end of the customer relationship and working backward for two reasons:

  • Working backwards through the life cycle is easier due to data availability and complexity
  • This approach yields a faster ROI and is easier to justify internally

Finding the Answers

Financial success won’t come on a ten-point scale. Answering these and many other customer analytics questions is possible and easier than ever before. By leveraging historical data, statistical models, and a bit of know-how, Revelwood helps its clients achieve measurable, justifiable improvements in customer outcomes. Asking and answering the right customer questions will definitively add to the organization’s top and bottom lines. And that’s a score you should promote.

Contacting our Experts

Email info@revelwood.com to set up a discussion to learn more.

References

  • Mittal, Vikas. “Which Customer Metric Best Predicts Financial Performance?” The American Marketing Association, https://www.ama.org/publications/MarketingNews/Pages/which-customer-metric-best-predicts-financial-performance.aspx
  • Morgan, Neil. “The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance” The Journal of Marketing Science, https://pubsonline.informs.org/journal/mksc
Home » Customer Analytics

Filed Under: News & Events Tagged With: Advanced Analytics, Customer Analytics, Data Science, Predictive Analytics

Revelwood Named Ingram Micro IBM Analytics Growth Partner of the Year

August 1, 2017 by Lisa Minneci Leave a Comment

Awards & Recognition

Business travel can sometimes be more obligation than enjoyment. There’s always the chance of flight delays and other transportation snafus, long days, and often, the expectation of keeping up with your day job while being out of the office for work. But sometimes there’s that special business trip you look forward to!

That’s how we feel about the annual Ingram ICE event. “ICE” stands for Ingram Cognos Elite and it’s an exclusive program for IBM business partners who demonstrate expertise in selling IBM Cognos solutions. Every year, this event is held in a different location. This year, the ICE event took place in sunny Key Largo, Florida which is always a fun place to have a business trip. To make it even more exciting, this was the second year in a row that Revelwood was named the Ingram Micro IBM Analytics Growth Partner of the Year!

“Revelwood has done an incredible job growing their IBM analytics business through portfolio expansion and new client acquisition,” said David Hino, senior vendor business manager for IBM Software, Ingram Micro. “They are part of an elite group of Ingram Micro and IBM partners that many could learn from.”

Revelwood celebrates earning the Ingram Micro IBM Analytics Growth Partner of the Year award for 2016

From left to right: Vincent Zandvliet, global managing director for IBM/Ingram Partnership, IBM; Scott Zahl, vice president & general manager for Advanced Computing Division, Ingram Micro; Ken Wolf, CEO, Revelwood; Dave Hino, senior vendor business manager for IBM Software, Ingram Micro; Laurie Evans, worldwide channels leader for analytics, IBM.

Our CEO, Ken Wolf, was on-hand to accept the award, but it was earned by the entire Revelwood team. As Ken said in our press release, “Our team earned this award because we have continued to grow our established practice in financial and operational analytics, while also building a successful and award-winning practice in customer analytics and artificial intelligence.” As you can see from the photo, Ken had a great time at the event!

Home » Customer Analytics

Filed Under: Awards & Recognition Tagged With: Advanced Analytics, Analytics, Budgeting, Customer Analytics, Data Science, Financial Performance Management, Predictive Analytics

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