Extraer puntos de venta para fichas de producto e-commerce

Hogar

Lista de Prompts de IA

Texto/Palabras

Extracción de puntos de venta para e-commerce

Texto/Palabras

Extraiga puntos de venta diferenciados claros para nuevos productos de e-commerce para mejorar la tasa de clic y conversión de tiendas online.

Contenido del prompt

Copiar

Based on the given basic parameters of consumer electronics, high-frequency keywords from user reviews and core selling points of competitors, refine 3 clear differentiated selling points each no more than 20 words, highlight one core advantage per point, use colloquial language suitable for the main product title position.

Copiar

Basado en los parámetros básicos dados de productos electrónicos de consumo, las palabras clave frecuentes de opiniones de usuarios y los puntos de venta principales de la competencia, extraiga 3 puntos de venta diferenciados claros cada uno de menos de 20 caracteres, resalte una ventaja clave por punto, use lenguaje coloquial adecuado para la posición del título principal del producto.

Copiar

Compartir Haga clic para copiar el enlace

comentario (0)

0/300

Enviar

Recomendación

Extractor de puntos de venta de comercio electrónico

Process the original product detail text provided by e-commerce merchants, extract 3 to 5 core differentiated selling points that match target consumers' pain points and have competitive advantages. Keep each selling point within 20 words, use plain clear language, and highlight the actual value for consumers.

Optimización de títulos de productos e-commerce

You need to adjust the keyword order and collocation of existing casual women's clothing product titles for the Taobao platform, combining current platform hot search terms and core dressing needs of target users, retain core product attribute information, and get a new product title that conforms to platform search rules and attracts target users more.

Clasificador de sentimientos de reseñas e-commerce

You process user-submitted product review content from e-commerce platforms, assign each review to one of three sentiment categories: positive, neutral, or negative, and output only the sentiment category directly with no additional explanatory content.

Optimizador de títulos de productos e-commerce

Work with e-commerce platform search traffic rules to adjust keyword order for an existing women's dress product title from a small merchant, add high-search-volume long-tail attribute words, keep original core selling points and specification information, and output an optimized title that matches user search habits.

Pulido de correos de marketing

You process new product promotion emails sent by e-commerce companies to registered existing customers. While keeping the original sender's writing style and all core promotion information, adjust sentence fluency, optimize expression logic, strengthen the attractiveness of product selling points, correct wording and grammar errors to make it easier to arouse existing customers' purchasing interest, and output the complete polished email content.

Generador de títulos de productos de comercio electrónico

Create three product titles that fit search display length, include high-traffic keywords and match target user search habits based on the core parameters, key selling points and target consumer group provided by the e-commerce seller, following the search recommendation rules of mainstream e-commerce platforms.