Applying Growth Hacking Method to Identify Customer Profile with Big Data Framework in Telecommunication Company

Abstract

We can’t deny that there are two things that take the biggest cost in marketing: The first one is the cost for advertising in TVc, newspapers, radios, and the second one is the sales fee for door-to-door marketing. Enterprise is pushed to increase the amount of sales and revenue as high as it can, and decrease the marketing cost especially for advertising and sales fee. Growth Hacking could be an alternative media to raise 4 elements often called AIDA (Awareness, Interest, and Action) of a product for market target that can be classified based on customer’s desire, needs, and behaviors. This classification can be gained by big data analysis. This paper will discuss about the use of growth hacking which at first used by many startups, new enterprise with services and products rarely known. We try to implement growth hacking in a market-leader company with well-known products, but the investment and competition level are still high. How to apply it and get the insight from the implementation. This paper also discusses the role of big data in mapping customer behavior in specific locations so that the content of Growth Hacking can be received by prospective customers without rejection of campaign in growth hacking.