Growth Hacking - How to Create a Growing Service Using Data and Experimentation

🌱 How to create a service that grows through data and experiments,
Would you like to learn about growth hacking together?

The ability to analyze and utilize data is being emphasized more than ever. Data analysis is no longer a role reserved for a specific job group, but is becoming an essential ability that everyone who creates services must have.

• Managers who can make appropriate decisions based on data
• A planner who can analyze data to plan and improve services.
• Marketers who can maximize advertising performance by leveraging data

🎯Focus on the essence of data.

Many people decide to study data analysis and study analytical languages such as Python or R. However, after studying the analytical language, they often become more confused about how to use it in their work. In fact, the skillset for data processing learned through Python or R is just a means for handling data, but many people misunderstand this as the purpose.

🙌 The ultimate goal of collecting, analyzing, and utilizing data is the growth of the service.

In order to create a growing service, a series of processes must be well-established, including defining the necessary data, collecting it, building an analysis environment, aggregating it, analyzing it, experimenting with it, and reflecting it in the service. In addition, an efficient organizational structure and culture for growth must be created. All of this will not proceed smoothly at once, but through trial and error and repetition, the service will gain experience in growth, and in the process, individuals will also grow together.

Growth Hacking

• Based on key indicators defined based on data
• Learn through experimentation
• Growing the service by rapidly iterating on this

Are you misunderstanding growth hacking as simply 'getting a lot of subscribers'? (Or bringing in a lot of users through organic marketing without spending money?)

Gross marketing (hacking) is not simply a one-time event or viral design to increase subscribers. It can be seen as an all-inclusive term for the entire process of defining the data required to create a growing service, building an environment, collecting, aggregating, analyzing, and conducting experiments. However, that does not mean that you need to have enormous resources or systems to start. Even small startups can prepare small things one by one according to their environment or conditions.

🙋🏻‍♂️ What you will learn in this lecture

In this lecture, we will study the overall content of growth hacking for service growth. In particular, we will talk about very specific indicator utilization and analysis cases, not just the vague concept of growth hacking. If you are creating IT services, especially those working at startups , after listening to this lecture, you will be able to get a lot of action plans that say, "I should try this in my service."

A comprehensive theory and practice of growth hacking for team growth

• Understand growth hacking and explore the prerequisites for it.
• Learn about growth hacking frameworks and key metrics

Practice to understand and analyze indicators

• Learn how to collect metrics and set up an environment to analyze data.
• Learn how to understand metrics and use them effectively.
• Learn and practice how to calculate and utilize key metrics such as Retention and Lifetime Value.

Building a culture, processes, and teams for growth

• Learn about tools and services you can use for growth hacking.
• Learn how to structure and work for growth hacking.
• Learn about our company culture and processes for growth.

From simple numbers
Skill practice to see insights

Practice in directly calculating the survival rate, ARPPU, etc.

Other specific growth hacking information

• Considerations When Designing A/B Tests
• More helpful information for further growth in the future

🌈 Experience the joy of growth.

I'm currently working on data analysis, but I've spent most of my career as a service planner and product manager. While working as a planner, I thought a lot about what I should do to create a growing service, and I studied and experienced things one by one, such as how to collect and process data according to my own needs, how to establish and verify hypotheses, how to create and collaborate with a team for experiments, etc. Later, I realized that these were the activities that formed the basis of a growth methodology called Growth Hacking.

I have worked in both large corporations and startups. Regardless of the size of the company, the most enjoyable moment in my career was when I felt that the service I was creating was growing while receiving love from users . Of course, I was able to grow a lot as an individual when the service was growing rapidly. Growth hacking (or data analysis) is not a silver bullet that solves all problems, but I think that we cannot talk about finding an efficient approach to growth without growth hacking.

I often get asked, 'I'm a planner (or a marketer...), how do I start studying data analysis?' I hope this lecture will provide an answer to that question.

I hope many people experience the joy of growth!