Most marketing campaigns aim to target specific segments of
potential customers – obviously the ones most likely to buy the product or service
in question. But many traditional and digital marketing techniques have been
fairly blunt instruments, making it difficult to address specific consumers –
and make them feel special.
Now, new methods of personalizing marketing outreach are
trying to change that, and many are being adopted quickly by companies seeking
an edge over their rivals.
The biggest players are able to use the mountains of data
they have to do this. For instance, Amazon curates lists of recommended
products based on browsing and purchase history, and other variables. What is more, some
companies have found ways to send more personalized thank you messages to their
customers post-purchase, either by e-mail or regular mail.
Being able to tailor communication with customers at a
personal level is a huge advantage for the companies that are able to do it. It
is a way to build much stronger relationships with people and give them exactly what they want, or even extrapolate other data to tell them what they
want before they know it themselves.
Done in the right way it is also a way to maximize the
effectiveness of the advertising spend. That’s because it allows companies to
get their message in front of a customer base that’s most likely to make a
purchase– those who are already familiar with the business and have a clear
understanding of its value proposition.
It’s an obvious strategy in the abstract. But it is of
course easier said than done. For all companies, big or small, the key to being
able to make it work is recording as much information as possible about the
ways customers interact with the company’s products, brand, and marketing campaigns.
The more data a company possesses, the more easily it can
create campaigns based on customer attributes and past behavior. One approach
is to cross-reference sales data with information from digital marketing
campaigns and website traffic.
Armed with this kind of information, the company can then
send specifically tailored offers to individual customers that have a much
better chance of hitting their mark – because they are based on the tastes and
preferences that the customer has already shown.
In the same way, rather than employing one-size-fits-all
messaging, different messaging can be developed for a greater variety of
different types of customers. In some cases, even messaging can be completely
personalized based on the capacity and resources of the company.
The trend toward personalization is only going to increase. Right
now, it works well either for very big but extremely sophisticated companies
like Amazon; or for small companies whose customer base is limited enough in size for
them to know well.
It’s many of those in the middle that still need to catch up.
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