This situation forms the main goal of growth hacking in marketing.

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Traditional marketing teams focus on direct email marketing. search engine optimization or advertising campaigns, and much more. Growth hacking teams often have programming skills. automatic system and analyzing large amounts of data They have experience in AB testing, various website builders, landing pages, and conducting growth tests that have helped in scaling the business. Who is a Growth Hacker? Growth Hacker is the name given to experts who use the growth hacking method of marketing. It was first coined by Sean Ellis, founder and current CEO of GrowthHackers Generally, they are individuals with knowledge in various fields that must include marketing skills.


Data analysis, coding, and product development Using a scientific mindset, using hypot Singapore WhatsApp Number heses, experiments, and metrics to drive decisionmaking processes. Importantly, it must be someone who is willing or courageous to challenge traditional marketing practices. Goals of Growth Hacking The concept of growth hacking marketing Happened in the era of early startups. these businesses Need to expand customer base Increase market share and make money as quickly as possible Meanwhile Startup companies have limited budgets. Therefore, they cannot afford promotional and customer acquisition strategies like traditional marketing.



That is, to get the maximum number of customers with the least cost and as quickly as possible. Important principles of Growth Hacking Datadriven decision making Growth Hacker relies on data and analytics. to use as a guideline for their marketing efforts They use tools like AB Testing, Conversion Tracking, and User Analytics. To measure the effectiveness of various strategies and make decisions using supporting information as important Experimentation and repetition Growth Hackers are constantly testing new ideas and strategies. to identify what is best for their business They embrace the concept of continuous improvement. Ready to learn from failure and repeat successful experiments.