Segmentation at eBay: Reaping the Rewards
Segmentation has traditionally been a key component of eBay's business strategy. Through segmentation research, eBay has continuously identified opportunities to introduce new services and products based on an in-depth understanding of customer needs. What follows are 5 questions with Meg Sloan, Director - Market Research at eBay, about the benefits of effective segmentation.
CMB: Over the last few years, you have done a lot of segmentation work. Why is segmentation so important to eBay?
Meg: Segmentation is important to eBay for a variety of reasons. eBay is a very big ecosystem - in the U.S. alone we have around 26 million active users of our Web site. Realizing that nobody who comes to eBay is the same, we need to have an understanding of how our customers are different and then tailor the experience to them. Precisely because eBay is such a huge ecosystem, we recognize that we cannot be successful trying to be everything to everyone. Segmentation, in combination with our own internal data, allows us to understand and think about what we are for whom, how we are going to move the business forward, and what we choose to do in terms of changes to the site or the business model in general.
Segmentation is also very important to our sellers. We recognize that as a marketplace our sellers are the people who deliver great experiences to buyers. So at our ecommerce forumin 2007 we shared our segmentation data with our top sellers, in return empowering them to then deliver experiences that our customers really value.
CMB: Can you describe how segmentation has evolved at eBay over the past few years?
Meg: Certainly. Segmentation has definitely evolved over the
past few years, and it will be a constant evolution for us as we
get more and more sophisticated in terms of how we use
segmentation. If we go back to 2003, we really had a single basis
for segmentation, focusing mostly on behavioral-based, survey-based
segmentation, as well as industry standards like VALVE and RFM -
and because of this its shelf-life was limited; it just wasn't
stable over time because the way people use the web is
ever-changing . Over the years, we have recognized that one basis
for segmentation is not enough of a view for such a complex
business in order for us to make the segmentation actionable. So
one of the things we have done with Chadwick Martin Bailey is to
understand segmentation across multiple bases. The goal now is to
create the most relevant and actionable segmentation for our
business by combining internal and external data (such as behavior,
attitude and value) with multiple survey bases.
CMB: How has segmentation changed the way that
eBay currently conducts business?
Meg: It has definitely changed the way that we think about our
customers. A few years ago we thought about them as a more
homogenous set. We thought about what people came to eBay for and
what they did - but we did not have a complex enough understanding
of who our customers are and what motivates their purchase and what
kind of attitudes people have about shopping in general. Now
we have a much deeper understanding of our customers and this
knowledge informs many aspects of our business, ranging from
thinking about new ideas, proposing new initiatives and
implementing service standards. The majority of our employees, and
especially our most senior executives, also know what segment they
personally belong to and will frequently reference this information
when putting forth their thoughts.
One significant result of the segmentation work with Chadwick
Martin Bailey is the understanding that a large portion of our
customers absolutely love to shop and view the experience as a form
of entertainment. Our site will increasingly cater to this group of
shoppers who view shopping as fun and love to get great deals.
Customers can get a preview of things that are coming at www.eBay.com/playground, which
reflects our understanding that for many of our customers shopping
is a fun hobby. We have introduced a new feature called
"DealFinder" that allows people to find great deals that
are ending now on really popular items - something else that
segmentation clearly tells us that our target customer values.
CMB: eBay has a wonderfully large database of
customers - and one of the big benefits of a large database is the
ability to map people in the database to membership in a particular
segment. How are you using the information in the database today
and how do you plan to use this information in the future?
Meg: One of our goals was to have the ability to take our
attitudinal segments and apply these, with a scoring, to our
internal data. I am happy to say that with the help of Chadwick
Martin Bailey and great analysts at eBay we were able to get this
accomplished. Now we are beginning to incorporate the analysis into
a variety of different aspects of our business. For example, we
will be able to analyze our customer support data including the
attitudinal segments, so that we understand the type of customer
who calls, the type of problem that he or she is experiencing, the
resolution that we provided and how this relates to the customer
profile in our segmentation. In the end we will be able to tailor
our response to our customers in a way that strikes a chord with
them based on their specific shopping profile.
CMB: If you could think ahead a couple of
years, and reflect on the segmentation legacy at eBay - what would
your biographers say about the role of segmentation at eBay and, in
particular, your role - and the role of Chadwick Martin Bailey - in
driving it?
Meg: The one thing we have not touched on and that I am very proud
of is the approach that we take to segmentation. From the
beginning, we took a "do it right vs. do it fast"
approach. We started with the end objectives (i.e., specific
business decisions we wanted to make) in mind and certainly
calculated every decision based on that. We also approached the
project in a very global way - with a global team - making
decisions that made sense for our biggest markets. Because of the
approach we were able to expand segmentation beyond the original
set of 3 countries to a set of 8 countries.
The success of the approach has meant that we could apply it not
only to buyers, but also to the other major components of our
company: sellers and the motors business. It has taken us about a
year to feel the full impact of the segmentation and the scoring of
the data warehouse - and we are only beginning to feel the true
impact. The results are telling though because our approach is
careful, decision based and global. And, last but not least,
we have a lot of fun on the way, which is very much the eBay way of
doing things.
Meg, Thank You very much!
Chadwick Martin Bailey