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Choose Products to Selling for E-commerce

Prompt Language: EN
Category:
Author: roadhero

9,99 

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With the prompt, you will easy access to choosing good product for selling and make more money.

Description

Choose a proper product in cross-border selling is pretty tough. You should have a certain methodology and the capability of analysis to make the work done. Do not wait and hesitant to sell more and gain more. Move to the next step. The prompt will assist you easy to chose your good product and make more money.

Instructions:
Step1: Copy all the following prompts to your ChatGPT Chat Box
Step2: Replace your data into the {{ }} , submit, and wait for ChatGPT further reply.
Step3: You will get the ChatGPT output that guide you choose product selling on your platform.

Terms (Table Field Name):
Product Name: The name of a popular product.
Product Characteristics: The main features and selling points of popular products.
Product Popularity: The popularity rating of the product on social media and advertising platforms.
Scarcity: the degree of scarcity of products, such as competition and supply constraints in the market.
Product Potential: The potential sales potential of a product in the market.
Price Range: The recommended selling price range for the product.
Advertising Quantity: The number of advertisements for a product on an advertising platform.
Competitiveness: The degree of competition of a product in the market.
Product Category: The specific category to which the product belongs.
Product Verticality: The verticality of a product in the market, that is, whether it focuses on a specific sub field.
Niche: Whether the product is targeted at niche markets.
Niche Market: whether the product belongs to a specific Niche market.
Market Capacity: The potential sales capacity of the product in the market.
Peak Sales Months: The month during which product sales are most active throughout the year.
Estimated Monthly Sales Volume: The estimated monthly sales quantity of the product.
Comprehensive Score: The rating given to a product based on the above factors.

Example of input data:
Category: garden
Expected product sales price range: 30-50 dollars
Expected monthly sales: 100
Expected peak sales months: July October
Expected product Gross margin range: 15% -30%

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