Google Analytics allows you to extract data and relevant
information to understand more about the consumer. With it, you can identify
issues such as traffic origin, age and sex of customers, session time, and
number of unique and recurring visitors, conversion rate and more. In addition,
it is possible to go further and know how many pages have been visited, what
the bounce rate is and what type of search has made the user reach the store.
This information is available on topics in the dashboard and divided according
to the highest occurrences. In addition, you can cross-reference different
data, such as joining two metrics. By crossing the age of the buyer with the
source of the traffic, for example, you can determine that the younger ones
come, for the most part, from smartphones. So you can focus on promoting a
particular product to the mobile. Google Analytics goes into history by
allowing the complete and accurate measurement of the results, allowing you to
identify the best features in each scenario. Fortunately, in Google Analytics
this task is very simple and you can employ predefined goals to understand
whether the test was a success or not. With the tool, you can make small
changes both on the home page and on specific pages of products, aiming to
increase the time of permanence, conversion or any other desired result. The
test configuration is quite wide and you can do it with only one or several
variables. From there, just follow the results offered by the tool itself. If
you have an e-commerce, Google Analytics is an indispensable tool when it comes
to monitoring the results and creating a more appropriate consumer profile.
From its proper configuration, it is possible to extract the maximum potential
of the tool, taking your virtual store to a successful path.
very useful!
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