Il clienti valgono piú del brand?

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AICEX:  Interessante punto di vista per capire come bilanciare gli investimenti sul brand con quelli sui Clienti – 

The value of “brand” is declining. The value of “customer relationships” is increasing.

That chart above is from here, and here’s the methodology behind it:

To find out which school of thought is more accurate, we looked at the value of brands and customer relationships as revealed by M&A data covering over 6,000 mergers and acquisitions worldwide between 2003 and 2013. The beauty of M&A for examining valuation trends is that M&As reveal the dollar valuations of all assets at the time of the acquisition. Upon acquiring a business, companies have to value the different assets they acquired for their accounts and balance sheet in accordance with accounting and reporting standards. These valuations include – among other assets – brands (trademarks) and customer relationships.

This graph, based on data from the MARKABLES database, represents brand and customer relationship valuations as a percent of total enterprise value. The percentages come from fair value assessments done by purchase price allocation experts according to established accounting standards.

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Come misurare la Loyalty?

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AICEX: Misurare la customer loyalty non è sempre ovvio. Analizziamo le caratteristiche delle metriche di loyalty.

Developing measures of customer loyalty using survey questions is a scientific endeavor; these loyalty measures are typically customers’ self-reported likelihood of engaging in future loyalty behaviors. Because self-reported metrics are necessarily fraught with measurement error, I have argued for using psychometrics as a way of evaluating these “soft” metrics. Psychometrics helps you understand the reliability and validity of your loyalty metrics and needs to be considered whenever you are measuring customers’ attitudes/perceptions/opinions.

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Quale è il valore dei dati CXM?

AICEX: il CXM può generare tanti dati, ma quale è il vero valore? – 

Customer experience management (CEM) programs can generate a lot of data. The value of these data is based on their utility to improve the customer experience and the overall quality of the customer relationship. Companies, to be successful need to effectively organize and analyze these large data sets as well as disseminate resulting information to the employees (from senior management to front-line employees) who need insights to deliver a better customer experience. Understanding, aggregating and analyzing customer feedback data starts with a business model. Because of the nature of the data is customer-related, this business model needs to be customer-centric. This business model will help guide data analysis and will, ultimately, lead to business decisions that are customer-centric.

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Come funzionano NPS, CES e le metriche di CX?

AICEX: Per misurare l’esperienza in maniera adeguata devi affidarti a più metriche.

There’s been a recent uptick in people asking me about Customer Effort Score (CES), so I thought I’d share my thoughts in this post.

As I’ve written in the past, no metric is the ultimate question (not even Net Promoter Score). So CES isn’t a panacea. Even the Temkin Experience Ratings isn’t the answer to your customer experience (CX) prayers.

The choice of a metric isn’t the cornerstone to great CX. Instead, how companies use this type of information is what separates CX leaders from their underperforming peers. In our report, the State of CX Metrics, we identify four characteristics that make CX metrics efforts successful:  Consistent,Impactful, Integrated, and Continuous. When we used these elements to evaluate 200 large companies, only 12% had strong CX metrics programs.

Should we use CES and how does it relate to NPS? I hear this type of question all the time. Let me start my answer by examining the four types of things that CX metrics measure: interactions, perceptions, attitudes, and behaviors.

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CES is a perception measure while NPS is an attitudinal measure. In general, perception measurements are better for evaluating individual interactions. So CES might be better suited for a transactional survey while NPS may be better suited for a relationship survey. You can read a lot that I’ve written about NPS on our NPS resource page.

Now, on to CES. I like the concept, but not the execution. As part of our Temkin Experience Ratings, we examine all three aspects of experience—functional, accessible, and emotional. The accessible element examines how easy a company is to work with. I highly encourage companies to dedicate significant resources to becoming easier to work with and removing obstacles that make customers struggle.

But CES uses an oddly worded question: How much effort did you personally have to put forth to handle your request? (Note: In newer versions of the methodology, they have improved the language and scaling of the question). This version of the question goes against a couple of my criteria for good survey design:

  • It doesn’t sound human. Can you imagine a real person asking that question? One key to good survey design is that questions should sound natural.
  • It can be interpreted in multiple ways. If a customer tries to do something online, but can’t, did they put forth a lot of effort? How much effort does it take to move a mouse and push some keys?!? Another key to good survey design is to have questions that can only be interpreted in one way.

If you like the notion of CES (measuring how easy or hard something is to do), then I suggest that you ask a more straight forward question? How about: How easy did you find it to <FILL IN THING>? And let customers pick a response on a scale between “very easy” and “very difficult.”

My last thought is not about CES, but more about where the world of metrics is heading. In the future, organizations will collect data from interactions and correlate them with future behaviors (like loyalty), using predictive analytics to bypass all of these intermediary metrics. Don’t throw away all of your metrics today, but consider this direction in your long-term plans.

The bottom line: There is no such thing as a perfect metric.

SOURCE: http://experiencematters.wordpress.com/2014/08/07/customer-effort-net-promoter-and-thoughts-about-cx-metrics/

AICEX Customer Experience Italian Association