Retail marketers using Big Data to Improve Consumer Satisfaction
amount of data available for retail marketers is a high in volume and there is no doubt that for the very near future it will increase. With the perception that the amount of data available will increase, companies will need to ensure that measures are in place to get the most beneficial or right information to make strategic decisions. Big Data provides an in-depth understanding of customers’ actions and trends in the marketplace which has invaluable benefits in the retail industry. Marketers have the ability to utilize data to remain competitive especially in an environment that requires innovation on a constant basis.
The use of big data
can influence how marketers reach the needs of their customers especially in
the area of service and satisfaction. Marketers have the capability of offering
their customers deals and promotions as soon as data is analyzed. Customers can
be targeted based on multiple factors including location; purchasing habits and
weather pattern are just a few.
- · Location presents an opportunity to target present and potential customers in a particular area with promotions and deals for that specific group.
- · Purchasing habits will allow marketers to target different groups with the products or specific time they purchase by offering deals that align itself accordingly. Purchasing habits cover a wide area because this could also include seasonal, ways of purchasing etc. So a promotion or deal could target any of the above mentioned.
- · Weather pattern can also influence how promotions are positioned; for example in times of severe snow storms customers may utilize their deal offerings if it has to do with deliveries. Some drivers fear driving in a bad weather and if a fast food restaurant offers a deal for a certain percentage off their purchase then customers will take full advantage of the promotion.
Marketers in the past did not have tools in
place to gather information on customer habit in real time. Understanding
customers pattern in shopping has become very easy when compared to the days
when researching was done in groups with pen and paper. With technological
advancement retailers possess the ability to continuously track their customers
even after their purchase is complete. Data is gathered even before the actual
purchase is completed and importantly trends are attached to these customers. Search
engines create knowledge of where consumer interest is because they can be tagged
to see what they might potentially purchase and from whom. This experience is also
captured in store because of the mechanism that allows retailers to track “walk
in” customers.
Customers as well
are becoming aware that data is gathered and stored with different aspects
about their lives. Information is readily accessible so consumers are able to
read about big data and other trends that are taking place in the world. The
issue of trust then becomes a concern among consumers.
Retailers should be cognizant of these
concerns and although Big Data is used to improve customer service they must
also try to reduce or eliminate fear. Customers’ information need to be
respected and protected at all cost. Some companies have moved ahead and there is
special departments’ setup to deal with potential hackers or intruders. One I have
had personal interaction with is my bank which has a department to handle
phishing. Some of the messages that are
sent to your phone look real but they are hackers trying to infiltrate. This to
me is customer satisfaction at work because it shows that your personal
interest is being protected.
When customers feel
that they are being exploited it is almost impossible for them to become loyal
to your brand. To have a life long relationship with a customer, retailers have
to ensure that the consumer’s interest is of paramount importance and that they
are not being manipulated just for monetary gains. Big Data analytics is a
force that can be used to ensure customer satisfaction and loyalty and facilitate
a life-long relationship.
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