For the second year in a row, customer satisfaction with the e-commerce sector has risen, with a year-over-year increase of .5% and an impressive score of 80.0 on the American Customer Satisfaction Index’s (ACSI) 100-point scale. The latest score of 80.0 brings e-commerce within striking distance of its highest aggregate score ever: 80.8 in 2003.The fourth quarter 2006 ACSI E-Commerce Report measures the following industries within the e-commerce sector, chosen because they make the greatest contribution within e-commerce to the U.S. GDP:
• E-retail
• Online auction
• Online brokerage (formerly e-brokerage)
• Online travel companies
(The report on the e-business sector, including portals, search
engines, and news and information sites, is released every August).
Such a high aggregate score for the e-commerce sector is impressive
considering the intensely competitive landscape. E-commerce continues
to outpace most other sectors of the economy in terms of satisfying its
customers. For example, the overall ACSI e-commerce score (80.0) exceeds the 2006 cross-industry ACSI score (74.9) by 7%. In fact, the ACSI e-commerce
sector score outstrips all the other service sectors measured by the
ACSI, often dramatically, including e-business (76.5); offline retail
(74.4); accommodation and food services (75.8); healthcare (74.1);
information services like cable, satellite, and telephone service
(68.6); utilities (72.4) and finance and insurance (76.0). Clearly many
of the e-commerce companies measured by the ACSI have figured out how
to satisfy customers, even though it is a relatively new sector
compared to some others measured by the ACSI. E-retail, the most mature
of the industries measured as part of the e-commerce sector, continues
to have the highest customer satisfaction score, up 2.5% to an
aggregate score of 83. Barnes & Noble (88) and Amazon (87), lead
the category.
Online brokerage, which has surged forward this year, had the highest aggregate increase in year-over-year customer satisfaction: 2.6% (from 76 to 78). This increase was driven primarily by large increases in customer satisfaction by two online financial service sites: Charles Schwab and E*TRADE. Charles Schwab continued its upward trend and reported a remarkable 8.1% increase in customer satisfaction (from 74 to 80), while E*TRADE saw its score go up 4.2%, from 71 to 74.
In online auctions, eBay maintains a clear lead (80) while the overall online auction industry remains flat from last year (78). Expedia (76) continues to lead the online travel industry, despite dropping one point in 2006. Faced with increasing competition from supplier sites and lack of differentiation among the aggregators, the online travel sites’ aggregate customer satisfaction score fell 1.3% in 2006.
Congratulations to a couple of the best performers, Barnes&Noble.com and Amazon.
Get the latest results and commentary on the results at the following:
http://www.theacsi.org/index.php?option=com_content&task=view&id=17&Itemid=165
http://www.theacsi.org/index.php?option=com_content&task=view&id=168&Itemid=162
http://www.foreseeresults.com/Form_ACSIFeb2007.html
[…] in marketing, marketing ROI, banking, marketing strategy, customer loyalty, marketing measurement. trackback Larry Freed really tees off on Fred Reichheld and the Net Promoter Score concept on his blog,calling the book a fraud. I think Larry is too harsh — but I would assert that “likelihood to refer” is not the ONE question to ask. […]
Oh, that’s too funny. So the Enterprise RentACar survey is not one question, and it is not “how likely are you to recommend?” So do they still use NPS? Or do they think that is NPS?
Okay, you’ve got your copy handy, and I don’t, but I thought Fred mentioned that Enterprise didn’t follow Fred’s method. Didn’t he say that Enterprise’s survey was home grown and had evolved over time?
Regards,
Glenn
Reichheld makes the “assumption” that if they were completely satisfied they would be a promoter. Now, we all know what assumptions can lead to. But why would you base your biggest case study in the book on an assumption? Why would you take shots at satisfaction programs and then base your biggest case study on a company that asked a satisfaction question?
-Larry
Well, I agree with you Larry that those Enterprise C-SAT questions sound contrary to what you would expect after knowing Reichheld’s reference to them in his book.
However, I still do think the most important customer facing question is - “would they refer the company / product / service to friends, family etc”.
After running the world-wide customer service network & organization for a leading direct to consumer company that you often quote as an ACSI winner and now running the global operations (including CS) of another B2C venture, it is the same question that we have always focused on over the years, maybe with different connotations.
Focusing on just the satisfaction aspect in surveys and compiling the positive response rates with number of people who were happy with service (ex: 80%, 85% etc like ACSI) etc only gives you so much. It can only make you feel happy in a myopic way with where you are today, and is hardly actionable…..
What is clearly more important is the number of people out of all responses “who were actually neutral or even dis-satisfied” which I consider to be the inverse correlation (and hopefully less than 10%) of the positives. Driving that expressed neutrality or customer dissatisfaction rates to zero using a six sigma customer centric process is probably more meaningful….
So in essence, if you truly want to have your customers be “Evangelical” and not just merely satisfied with your service, every company will have to focus on the customer enthusiasm to actually be a referral for them.
I guess that is what Reichheld was trying to highlight in a roundabout way using NPS etc etc….where clearly Enterprise might have let him down -:)
Raghu
Raghu, Excellent comments.
Word of mouth is an important metric. A decent proxy for positive word of mouth is likelihood to recommend. NPS takes a decent question and pollutes it by the scheme of promoters and detractors. It introduces a very high margin of error.
The other important point is that recommend only monitors positive word of mouth. It is a dangerous assumption to think that those that don’t recommend are “bad profits”. They are not a positive word of mouth, but that doesn’t mean they are a negative word of mouth. That requires a different set of questions.
Our solution to measuring satisfaction is a model of satisfaction that includes drivers of satisfaction (product, price, etc.), overall satisfaction and future behaviors (recommend, return, purchase intent, etc.). You need this model to really have a handle on your customers.
Satisfaction will drive recommendations, loyalty, purchase intent. So, recommendations are an outcome of satisfaction. The complete model of satisfaction (drivers, satisfaction and future intent) provides the depth to make the results actionable.
Word of mouth is a great marketing tool, but not a proxy for satisfaction or loyalty.