Assignment 5: Target.com
Target Corporation: Summary
Target is the second largest discount-store
retailer in the United States behind Walmart. Based in Minneapolis, Minnesota, Target
has over 1,800 stores, and over 323,000 employees. (Target, n.d.) Target launched
the current iteration of their website in 2011 after ending partnerships with third-parties
that complete their fulfillment. According to SimilarWeb, Target.com is the 62nd
most visited website in the United States, and the 329th most visited
website in the world. (SimilarWeb, 2018). It is also the 44th most popular
“shopping” website in the world. (SimilarWeb, 2018).
According to information published on
their corporate site, Target customers:
·
Median age of 40
·
Median household income of approx. $64K
·
Approximately 43% have children at home
·
About 57% have completed college
(Target, n.d.)
Target Corporation: Data & Web Analytics
Target
has consistently outperformed other retailers, and business within other industries,
with their analytical approach to marketing and product placement. This has transcended
to more than just data mining product purchases. Their abilities go into hiring
top-tier statisticians and analysts to determine predictive analytics based on behavior
exhibited with their stores and online.
As Reuters writes, “what sets Target
apart from the crowd is an aggressive datamining of customer interactions. That
includes customers’ cell phones, web cookies, purchase histories, prescription
and other health information.” (Lipka, 2014) This famously led to a story where
Target correctly guessed that an underage girl was pregnant and sent a pregnancy-related
offer to her home, much to the surprise of her parents. “The company can
identify by name more than half the customers who walk into their stores and
browse their website,” according to Reuters. (Lipka, 2014)
All of this information is stored in
a central customer relationship system. According to Andrew Pole, a Target executive,
“Target assigns each shopper a unique code — known internally as the Guest ID
number — that keeps tabs on everything they buy. “If you use a credit card or a
coupon, or fill out a survey, or mail in a refund, or call the customer help
line, or open an e-mail we’ve sent you or visit our Web site, we’ll record it
and link it to your Guest ID,” Pole said. “We want to know everything we can.” (Duhigg,
2012)
“Each consumer’s spending and
demographic information - such as age, marital status and address - is the
foundation for the Guest ID which enables the store to identify brands you are
loyal to, what offers tempted you and whether you can be persuaded to shift
spending from other stores to Target.” (Lipka, 2014) The company also purchases
third party, publicly accessible data, along with information customers post online
to round out its data and web analytics. “Target can buy data about your
ethnicity, job history, the magazines you read, if you’ve ever declared
bankruptcy or got divorced, the year you bought (or lost) your house, where you
went to college, what kinds of topics you talk about online, whether you prefer
certain brands of coffee, paper towels, cereal or applesauce, your political
leanings, reading habits, charitable giving and the number of cars you own.” (Duhigg,
2012)
Target is focusing on combining the
power of analyzing web and data analytics because it leads to very profitable results.
In looking at the power of predicting if someone is pregnant, for example, it would
be especially helpful for marketers looking to get ahead to know if a customer was
pregnant in the second trimester. Pole explained,
“We knew that if we
could identify them in their second trimester, there’s a good chance we could
capture them for years. As soon as we get them buying diapers from us, they’re
going to start buying everything else too. If you’re rushing through the store,
looking for bottles, and you pass orange juice, you’ll grab a carton. Oh, and
there’s that new DVD I want. Soon, you’ll be buying cereal and paper towels
from us, and keep coming back.” (Duhigg, 2012)
With this power, it can be easy to see
how Target and Target.com have been especially successful in increasing sales.
Target Corporation: Target.com
Target.com has been successful at displaying
relevant content to its users to entice growing sales. This has been not only from
direct traffic to Target.com, but also with a robust search engine campaign. According
to SimilarWeb, over 43% of Target.com’s traffic is from search. (SimilarWeb, 2018).
(SimilarWeb, 2018)
Target.com search terms
encompass organic and search. While the primary search term is “Target” and related
Target products, some of their top producing paid searches are not related to marketing
their own domain.
(SimilarWeb, 2018).
Additionally, Target.com
also has a robust digital display advertising program. They use dynamic retargeted
ads that display items related to your search history on their site. Their primary
ad network is Google Display Network.
(SimilarWeb, 2018).
On Target’s website, they also drill
down to the individual’s past purchase history to display relevant content on their
website for that user. Using my own personal history, for example, Target displayed
content for their home furnishing on this homepage. This was different when viewed
in “InPrivate” viewing mode where cookies were not available.
(Target, n.d.)
In this example, Target served two different
images related to their “Threshold” line, which I previously purchased online. In
the private browsing mode, this same location on the home page was take with beauty
products.
Target Corporation: Conclusion
Target has been a leader in data analytics,
and predictive analytics for e-commerce. They combine traditional data mining operations
with retail sales tracking, but they take it a step further with enhanced data from
third parties and adding web-based analytics. The combination
is a seamless and personalized experience from Target, whether it is web or print
marketing.
References
Target. (n.d.). corporate overview. Accessed
from:
SimilarWeb. (2018, Feb). Target.com overview.
Accessed from:
Lipka, M. (2014, Jan 23). What
Target knows about you. Reuters. Accessed from:
https://www.reuters.com/article/us-target-breach-datamining/what-target-knows-about-you-idUSBREA0M1JM20140123
Duhigg, C. (2012, Feb 16). How
Companies Learn Your Secrets. New York Times. Accessed





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