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Top 1% Data Literacy - Super-Gap Customer Analysis and Marketing Automation Framework Using Only Excel

Data is piling up, but are you feeling lost about who to target? Find your key customers through data summarization and design the optimal targeting logic.

(5.0) 6 reviews

8 learners

Level Beginner

Course period Unlimited

Data literacy
Data literacy
Excel
Excel
Digital Marketing
Digital Marketing
Marketing Theory
Marketing Theory
Performance Marketing
Performance Marketing
Data literacy
Data literacy
Excel
Excel
Digital Marketing
Digital Marketing
Marketing Theory
Marketing Theory
Performance Marketing
Performance Marketing

Reviews from Early Learners

Reviews from Early Learners

5.0

5.0

찰떡콩떡

93% enrolled

I was feeling lost about how to go about data analysis, but I’m leaving after learning so much! I’ve gained a lot of useful knowledge~

5.0

히릿

93% enrolled

I used to think data analysis was only for experts, but now I feel like I can understand data a little bit too!

5.0

일찍일어나는새가벌레

75% enrolled

This gives me strength as I start my business!

What you will gain after the course

  • Establish data structuring and summarization standards to create an environment where data can be analyzed immediately even as it grows.

  • Identify core targets with high profit contribution without error using the RFM model and Pareto analysis

  • Visualize behavioral changes by customer tier and marketing performance metrics to verify the basis for decision-making at a glance.

  • Systematize manual aggregation steps to reduce report generation time and focus on strategic planning.

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.

Why is vast customer data useless for marketing?

When your strategy is stuck, you need a 'standard' for interpreting fragmented data.

Now, transform customer behavioral data into profit-oriented

Summarize it with a 'segmentation frame' and put it into marketing immediately!

– Concentrate 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

Sophisticated data segmentation will surely awaken stagnant sales.

Stop vague targeting and prove overwhelming results through data analysis!

Top 1% data literacy, implemented with Excel alone

Key Features of the Hyper-Gap Customer Analysis and Marketing Automation Framework Curriculum

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 group

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

A strategic workflow that captures signs of churn in advance and delivers messages at the optimal timing.

5. Automating lead qualification through conversion prediction

Customized recommendations that reduce costs and increase efficiency through behavior pattern-based clustering


Leave the repetitive tasks to Excel!

Now, you can focus solely on the 'marketing strategy' that secures your revenue.

Shall we analyze complex-looking customer data quickly and accurately?

1. Register for the lecture

2. Perfect practice of customer segmentation methods with Instructor Jung-ah Choi

3. Building a 'Customer Management Automation' system for immediate application in marketing strategy

Now, start your very own ‘data-driven revenue strategy.’

The essence of data analysis is
not 'organizing,' but finding the 'customer'!

Are you stuck in a cycle of simple numbers and missing out on identifying your core targets?

Stop getting lost in data and focus your marketing firepower on targeting VIPs.

We confidently recommend this to the following people.

– Practitioners who only accumulate vast amounts of customer data but fail to utilize it for actual marketing
– Marketing managers who want to find objective evidence of which targets are the core VIPs of their brand
– MDs (Merchandisers) of online malls who lack time to plan sales strategies due to repetitive simple organizational tasks
– Individual business owners who are struggling with how to segment and approach customers while ad efficiency is declining
– Data managers who have many analysis tools but want to select key metrics that lead to actual sales

Are you finishing your customer data analysis with just simple aggregation?
Identify targets with an Excel analysis system and immediately implement strategies to increase revenue.


Lecture Features

STEP 1. Using Excel as an analysis system rather than for 'simple recording'

Establish data structuring and summarization standards to create an environment where raw data can be analyzed immediately, even as it grows.

STEP 2. Learn how to classify customer value numerically

Identify core targets with high profit contribution without error through RFM modeling 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 your actual business data.


Data is piling up, but why can't you see the customers who actually bring in money?

When you segment customers based on value, the customers to focus on are clearly defined.

Revenue comes from the customer composition, not the number of customers.
Organize "who to sell to" with data.




Frequently Asked Questions Q&A

Q. I have no prior knowledge of data analysis or statistics. Can I still take this 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. Rather than focusing on complex technical calculations, we focus on how to interpret data and turn it into business questions. If you follow the lectures and practice materials step-by-step, even beginners can complete the course without any issues.

Q. Are there any requirements or mandatory programs for taking the course?
A. You do not need to install any 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 familiar with basic document tools.

Q. Do I need to purchase a paid analysis solution to take this course?
A. No, a separate paid solution subscription is not required. The course covers methodologies for tracking and segmenting customer behavior data without the need for 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.


Please check before taking the course!

  • Since this is a practice-oriented course, it is recommended to prepare a dual monitor or an extra device so you can separate the lecture screen from the practice screen.

  • Additionally, as the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.

  • The lecture notes and practice files are located in the <00. Textbook Download Center> section.

Recommended for
these people

Who is this course right for?

  • Practitioners who only 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 overwhelmed about 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 designed 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 practice sessions, the learning process will be smoother if you have basic proficiency in using these document tools.

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Curriculum

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28 lectures ∙ (9hr 7min)

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6 reviews

5.0

6 reviews

  • hryoon5235님의 프로필 이미지
    hryoon5235

    Reviews 33

    Average Rating 5.0

    5

    93% enrolled

    I used to think data analysis was only for experts, but now I feel like I can understand data a little bit too!

    • xtpwlsx690267님의 프로필 이미지
      xtpwlsx690267

      Reviews 4

      Average Rating 5.0

      5

      71% enrolled

      It's great to be able to learn practical data utilization methods that allow for analyzing customer data and even implementing marketing automation using only Excel.

      • deshin6394님의 프로필 이미지
        deshin6394

        Reviews 11

        Average Rating 5.0

        5

        93% enrolled

        I was feeling lost about how to go about data analysis, but I’m leaving after learning so much! I’ve gained a lot of useful knowledge~

        • bullae님의 프로필 이미지
          bullae

          Reviews 29

          Average Rating 5.0

          5

          75% enrolled

          This gives me strength as I start my business!

          • smpark6031님의 프로필 이미지
            smpark6031

            Reviews 9

            Average Rating 5.0

            5

            96% enrolled

            The new customer data analysis method I learned is absolutely amazing. Thank you for the great lecture.

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