The
online marketing space is ever changing with new technologies and
services or marketing tactics. And the ecommerce owners are affected
by such constant evolutions. To ensure that they survive through
these changes, it is important to make decision faster. Well, this is
where web scraping and
analytics comes into the scenario. Below mentioned are some major
aspects of ecommerce analytics.
Why
Web Analytics Matter? From Raw Data to Decisions
Web
analytics is not restricted to a particular size of company. Whether
you have a small sized or a large sized company, the ecommerce
analytics can be helpful to all. Being unknown to the existing
marketing activities will lead to wastage of time as well as money,
therefore it is essential for any business owner to stay abreast with
the recent trends. Scraping website
and deriving and analysing a large volume of data may help them to
realize the future trends.
Aside
from this, it will also help the businesses to make informed decision
regarding the changes needed to make in the marketing strategies or
in the quality of their products. What the customers are looking for
from a particular business can be determined by acquiring structured
and unstructured data. Also, the set of massive data will assist them
to understand the behaviour of their customers.
Having
an access to all the necessary statistical information of your
ecommerce business will provide you with an advantageous position
over your competitors. Knowing the trends and the marketing channels
that are no more profitable will enable you to continue manoeuvring
your business successfully.
Additionally,
understanding the shifts in your consumers’ behaviour will provide
you better insights of the demand in the market. Hence, you will be
able to make strategic changes in the pricing or introduce new
products that may result in big gains.
Big Data can help you build a base for continuous experimentation on your
ecommerce business. Having the ability to examine certain copy and
the layout of the site is a logical step for any business as that can
raise the profits.
In
web analytics, funnels play an important role. The marketing
activities should be analysed in terms of the funnels. Funnel
analytics is based on the step-by-step flow that your target audience
is likely to take until they buy something on your site. A marketing
funnel may appear like this,
-
A customer sees your Facebook post
-
A customer arrives on the landing page after seeing a specific product
-
The customer enter their personal details to make the purchase
At
every step some people is expected to drop out of this funnel. And
knowing these percentages may help you to determine the psychology
behind the customers.
However,
the raw data collected by web data extraction
may not be helpful until they are converted into analytics. There are
a few analysts who can decode the set of data and assist you in
building an analytic model for your business. It is through this
analytics you can convert your one-time buyer into repeat client.
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