The Role of Data Analytics in Marketing
Consumers and business generate more data than
ever before. Much of that information can directly contribute to the
optimization of marketing strategies. However, success in that regard requires
an understanding of the role of data analytics in marketing and the right
analytical tools.
Such a realization has not completely permeated
either the business world or the marketing industry. After all, a study
recently discovered that more than one-third of marketers had any analytics
training over the past 12-month period. Meanwhile, slightly over one-fifth of
marketers have ever had any such training. Even fewer marketers have ever had
basic exposure to the use of databases.
Customer data seems to suggest that data
analytics should have more significance. After all, more than half of all
customers say that they will change brands if a company doesn’t communicate
with them on a personal level. So, in many ways, data analytics can play a
vital role in a firm’s ongoing success.
Customer interactions
Every customer interaction with a business can
affect that brand’s perceived value. Fortunately, thanks to technology,
companies can collect a seemingly limitless supply of data that can help them
analyze their customers’ experiences.
When they use data analytics tools, they can
quickly identify customer pain points and
operational bottlenecks that they can subsequently resolve. Ideally, by
continuously analyzing customer interactions, a business can constantly improve
their quality.
Cross-channel marketing
In the past, people interacted with brands by
physically visiting a store to see what they offered for sale. Technology has
changed that. Now, social media, website views, and email message create an
avalanche of information that can streamline - and complicate - customer
journeys. Fortunately, data analysis can help.
Technology can track all the interactions
between a single customer across all channels. Consequently, firms can learn
what channels generate the best results and use that information to prioritize
their marketing budgets. Moreover, cross-channel marketing data can help
marketers decide whether to abandon or revitalize poorly performing channels.
CDP
Data analytics enable the use of a customer data
platform that focuses on customers’ behaviour from their perspective. A CDP
collects all the interactions a customer has with a brand. Although such data
may include purchases, it also looks at other behavioural cues that help
companies analyze groups of customers and various types of transactions.
CDP can help firms assimilate data from multiple
sales channels. For instance, a brand with both an online and offline presence
may misinterpret conversion rates if they analyze both channels separately.
However, by combining their data, they may discover that customers offset
online purchases via in-store returns. Additionally, CDP can provide visual
representations of customer groups in ways that help businesses prioritize
their marketing activities.
Customer survey
Data analytics can help businesses digest
customer-provided feedback. For instance, rather than analyzing survey results
one at a time, businesses can analyze them in bulk by looking for meaningful
words and phrases that indicate the intentions and emotions of their customers.
Advanced analytics tools can simultaneously track and multiple customer
attitudes. Such information can help firms prioritize their efforts as they
improve the customer experience.
Paid search
Marketers that want to begin working with data
analytics may want to choose Google AdWords as their starting point. The
platform contains built-in analytics tools that can help you compose your first
ads. As you run campaigns, Google captures their performance data and provides
access to reports that provide actional insights. For instance, after paying
for advertisements that attract clicks but not conversions, a marketer can try
different keywords and messages for the next campaign.
Keyword optimization
Although many online marketing channels exist,
perhaps content marketing and search engine optimization have become more
urgent now than ever before. After all, to succeed online, businesses must keep
competitors in check while satisfying the ever-changing requirements of Google
and other internet search tools.
Data analytics can help marketers identify and
choose valuable and relevant keywords and phrases. Afterwards, they can
naturally infuse those terms in well-written content in ways that cause their
pages to rank near the top of relevant search results.
In the end, data analytics plays numerous roles
in marketing that can make businesses and their brands more competitive and
profitable. The quality of data and data analytics tools can determine the
impact data analytics has on a company’s marketing strategy.
Caryl Anne Crowne
It is a contributing writer
and media specialist for Digital
Marketing Training Group.
She often produces content for a variety of
marketing blogs.
The Role of Data Analytics in Marketing
Reviewed by Mili Ponce
on
Tuesday, July 23, 2019
Rating: