Data is piling up, but are you feeling lost about who to target? Find your core customers through data summarization and design the optimal targeting logic.
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Level Beginner
Course period Unlimited
Establish standards for data structuring and summarization to create an environment where data can be analyzed immediately even as it grows.
Identify key targets with high profit contribution without error using RFM models and Pareto analysis.
Visualize behavioral changes by customer tier and marketing performance metrics to verify decision-making grounds at a glance.
Reduce report preparation time and focus on strategic planning by systematizing manual aggregation steps.
Data is piling up, but are you feeling lost about who to target?
Find your core customers through data summarization and design the optimal targeting logic.
Now, transform customer behavior data into profit-oriented
Summarize it into a 'segmentation frame' and put it into marketing immediately!
– Focus marketing resources on core customer segments with high profit contribution
– Prioritize by summarizing fragmented transaction data based on customer status
– Intervene at the optimal timing by analyzing purchase cycles and signs of churn
– Increase execution speed by automating repetitive data organization steps
This is a practical course designed to improve marketing performance by structuring fragmented behavioral data and automating analysis routines.
1. Designing summary criteria for data analysis
Grouping scattered raw data according to business objectives and summarizing it into a comparable format
2. Analysis framework connecting behavioral flows
Establishing an organic analysis system that goes beyond simple recording to derive marketing priorities for each target audience.
3. Automated customer value classification based on core metrics
Real-time identification of high-profit VIPs using RFM models and Pareto analysis
4. Purchase Cycle Analysis and Intervention Timing Design
Strategic workflow to capture signs of churn in advance and deliver messages at the optimal timing
5. Automating high-intent lead selection through conversion prediction
Customized recommendations that reduce costs and increase efficiency through behavior pattern-based clustering
1. Sign up for the lecture
2. Complete hands-on practice of customer segmentation methods with Instructor Jung-ah Choi
3. Establishing a 'Customer Management Automation' system for immediate application in marketing strategies
Are you stuck in a cycle of simple numbers and missing out on identifying your core targets?
– Practitioners who only accumulate vast amounts of customer data without actually utilizing it for marketing
– Marketing managers who want to find objective evidence to identify which targets are their brand's core VIPs
– E-commerce MDs who lack time to develop sales strategies due to repetitive, simple organizational tasks
– Individual business owners who are struggling with declining ad efficiency and don't know how to segment and approach customers
– Data managers who have many analysis tools but want to select key metrics that lead to actual sales
Are you still ending your customer data analysis with simple aggregation?
Identify targets with an Excel analysis system and immediately implement strategies to increase revenue.
STEP 1. Using Excel as an analytical system rather than for 'simple recording'
Establish data structuring and summarization standards to create an environment where analysis can be performed immediately, even as raw data grows.
STEP 2. Learn how to classify customer value numerically
Identify core targets with high profit contribution without error using the RFM model and Pareto analysis
STEP 3. Building a 'Dashboard' to view analysis results on a single screen
Visualize behavioral changes by customer grade and marketing performance metrics to verify the basis for decision-making at a glance.
STEP 4. Applying practical automation logic to reduce repetitive tasks
Systematize manual aggregation steps to reduce report preparation time and focus on strategic planning
STEP 5. Practical deliverables + Template/Automation format package provided
Follow along with the practice materials to complete everything from hands-on exercises to settings that can be immediately applied to real-world business data all at once.
When you segment customers based on value, the customers to focus on become crystal clear.
Revenue comes from the customer composition, not the number of customers.
Organize "who to sell to" with data.
Q. I have no prior knowledge of data analysis or statistics. Can I still take the course?
A. This course is designed to provide practical skills that can be immediately applied to work, even for professionals who are not familiar with complex statistical formulas or data analysis theories. Since we focus more on how to interpret data and turn it into business questions rather than complex calculation techniques, beginners can follow along without any problems by following the lectures and practice materials step-by-step.
Q. Are there any requirements or mandatory programs for taking the course?
A. There is no need to install special analysis tools (such as Python). The course is designed so that you can sufficiently summarize customer data and perform RFM analysis using only common Excel. However, since Google Sheets or Excel are used during the practice sessions, learning will be smoother if you are able to use basic document tools.
Q. Do I need to purchase paid analysis solutions to take this course?
A. No, subscribing to separate paid solutions is not required. This course covers methodologies for tracking and segmenting customer behavior data without expensive CRM tools. The practice sessions are designed to be fully applicable to real-world tasks using only free tools and Excel, so there will be no issues with your learning.
Since this is a practice-oriented course, we recommend using dual monitors or an extra device so you can separate the lecture screen from your practice screen.
Additionally, as the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.
The lecture materials and practice files are located in the <00. Textbook Download Center> section.
Who is this course right for?
Practitioners who accumulate vast amounts of customer data but are unable to actually utilize it for marketing.
A marketing team leader who wants to find objective evidence to identify which target audience constitutes the brand's core VIPs.
A shopping mall MD who lacks time to develop sales strategies due to repetitive, simple organizational tasks.
Individual business owners who are struggling with declining advertising efficiency and feel lost on how to segment and approach their customers.
Need to know before starting?
Since we focus more on how to interpret data and turn it into business questions rather than complex calculation techniques, beginners can take this course without any problems by following the lectures and practice materials step-by-step.
It is structured so that you can sufficiently summarize customer data and perform RFM analysis using only the widely used Excel. However, since Google Sheets or Excel will be used during the hands-on practice, the learning process will be smoother if you are familiar with basic document tools.
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