Access Millions of academic & study documents

Digital marketing

Content type
User Generated
Showing Page:
1/3
Digital Marketing Analytics
Introduction
In the past few decades, the landscape of marketing has changed dramatically.
There has been a revolution in the marketing analytic technologies with most of them
becoming easily accessible to all sizes of businesses. Many organizations and
business are under immense pressure to use the advanced marketing analytics tools to
attract potential customers, retain them and nurture leads.
Digital marketing analytics plays a significant role in understanding the impact
of marketing and predicting of future trends (Hemann & Burbary 23). It also helps to
predict user behavior and optimize user experience. Marketing analytics is a
discipline that aims at obtaining patterns in data to enhance actionable knowledge.
This phenomenon uses predictive modelling and statistics to find solutions to
question (Hemann & Burbary 23). Also, it uses machine learning to obtain insights
into problems. Digital marketing enables marketers to predict user behavior and
optimize their experience to improve sales (Petrescu et al., 45). Marketing analytics
includes a range of tools and strategies that are essential in unlocking customer’s
relevant insights while increasing the return on investment, enhancing profitability
and improving brand image (Petrescu et al., 45).
Relevance of digital marketing analytics
Marketing analytics helps companies to realize the needs of their customers
through quality surveys and constant feedback from the customers. Every
organization is always about meeting the needs of their customers. Analyzing data on
consumption enables a business to determine the needs within the market and
determine if it can be accomplished (Petrescu et al., 45).

Sign up to view the full document!

lock_open Sign Up
Showing Page:
2/3
Every business has a need to monitoring any trends and movement within the
market, this is what guarantees their profitability. Digital marketing enable marketers
to identify market trends through customer surveys (Nagaraj 41). Therefore, the
business can determine the effectiveness of a new product. Also, the optimization of
market enable businesses to identify the exact needs of customers. Digital marketing
gives marketers access to data that promotes better understanding of their market size
(Nagaraj 41). Market size is a key factor in the stability and profitability of any
business.
Limitations of Marketing Analytics
Lack of proper identification of market needs may hinder the effectiveness of
digital marketing analytics. Identification of the needs of each market is a critical
element of marketing analytics. The marketer has to identify other products and
businesses that attempt to satisfy the needs of the segment. An overestimation of how
a company’s competition meets the customers’ needs may affect the outcome of the
marketing analytics. Also, few businesses can meet and satisfy the needs of all
potential customers. Further, improper interpretation of the data may lead to
inappropriate decisions.

Sign up to view the full document!

lock_open Sign Up
Showing Page:
3/3

Sign up to view the full document!

lock_open Sign Up
Unformatted Attachment Preview
Digital Marketing Analytics Introduction In the past few decades, the landscape of marketing has changed dramatically. There has been a revolution in the marketing analytic technologies with most of them becoming easily accessible to all sizes of businesses. Many organizations and business are under immense pressure to use the advanced marketing analytics tools to attract potential customers, retain them and nurture leads. Digital marketing analytics plays a significant role in understanding the impact of marketing and predicting of future trends (Hemann & Burbary 23). It also helps to predict user behavior and optimize user experience. Marketing analytics is a discipline that aims at obtaining patterns in data to enhance actionable knowledge. This phenomenon uses predictive modelling and statistics to find solutions to question (Hemann & Burbary 23). Also, it uses machine learning to ob ...
Purchase document to see full attachment
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Studypool
4.7
Indeed
4.5
Sitejabber
4.4