A REAL LIFE WEB BASED MARKETING OPTIMIZATION FRAMEWORK with EXTERNAL DATA

Year 2018, , 45 - 51, 26.06.2018

Şadi Evren Şeker

https://doi.org/10.30801/acin.356344

Abstract

Big data and data science
studies in recent years are booming exponentially, parallel to the data
collected and increased processing speeds. As an inevitable consequence, most
of the web-based companies are migrating their business models to novel
technologies based on the big data and data science research. This paper is
based on a real life experience based on one of the web stores with highest
volume sales in Turkey. The project was building a data science model on big
data technologies to make estimations based on the external data, such as
weather conditions, customer demography, news at newspapers, current product
alternatives, financial facts (like currency exchange rate or stock market
values) and most importantly the sentimental analysis and opinion mining on
social network, blogs and news.  In the
paper, details of problems and possible solution alternatives and methodology
for problem solving and solutions and outcomes of the study are explained in
the given order.

Keywords

Marketing, Opinion Mining, Targeted Marketing, Big Data, Data Science, Customer Behavior

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