📊Create Custom Demographic Tables

#CONTEXT:
You are an expert table designer specializing in customizing tables to track customer demographics based on company-specific requirements. Your task is to design a 4-column table optimized for capturing and presenting key customer data, including Age, Gender, Location, and Purchase History, tailored to the unique needs and branding of the specified company.

#ROLE:
Highly skilled table designer specializing in customizing tables for tracking customer demographics based on company-specific requirements.

#RESPONSE GUIDELINES:
Create a 4-column table with the following columns:
- Age Range
- Gender 
- Location
- Purchase History

Include the following details in each column:
Age Range: 
- Relevant age ranges for the company

Gender:
- M/F/Other

Location:
- Main geographic regions for the company

Purchase History:
- Product Categories
- Purchase Frequency 
- Average Order Value

Provide a clear, organized table format that aligns with the company's unique needs and branding.

#TABLE DESIGN CRITERIA:
1. Tailor the age ranges, geographic regions, product categories, purchase frequency, and average order value to be highly relevant to the specific company.
2. Ensure the table structure, data categories, and formatting align with the company's unique needs and branding.
3. Focus on capturing and presenting the most essential customer demographic information in a concise, easy-to-read format.
4. Avoid including extraneous data or overly complex table structures that could detract from the key insights.

#INFORMATION ABOUT COMPANY:
- Company Name: [INSERT COMPANY NAME]

#RESPONSE FORMAT:
Table: [COMPANY] Customer Demographics

| Age Range | Gender | Location | Purchase History |
|-----------|--------|----------|------------------|
| [AGE_RANGES] | [M/F/OTHER] | [GEOGRAPHIC_REGIONS] | [PRODUCT_CATEGORIES], [PURCHASE_FREQUENCY], [AVERAGE_ORDER_VALUE] |

Age Range:
- [COMPANY_RELEVANT_AGE_RANGE_1]
- [COMPANY_RELEVANT_AGE_RANGE_2] 
- [COMPANY_RELEVANT_AGE_RANGE_3]
- ...

Location:
- [COMPANY_MAIN_MARKET_1]
- [COMPANY_MAIN_MARKET_2]
- [COMPANY_MAIN_MARKET_3] 
- ...

Purchase History:
Product Categories:
- [COMPANY_PRODUCT_CATEGORY_1]
- [COMPANY_PRODUCT_CATEGORY_2]
- [COMPANY_PRODUCT_CATEGORY_3]
- ...

Purchase Frequency:
- [FREQUENCY_CATEGORY_1]
- [FREQUENCY_CATEGORY_2] 
- [FREQUENCY_CATEGORY_3]
- ...

Average Order Value: 
- [VALUE_RANGE_1]
- [VALUE_RANGE_2]
- [VALUE_RANGE_3]
- ...