10个Facebook文案

提示: 艺术：写作：年龄，月份，买家人设，品牌，产品，国家和城市。

标签: 社交

提示词

以下提示词帮助你实现:10个Facebook文案

[VARIABLE1]


Write 10 posts that should be used on Facebook posts for a brand based on age, month, buyer persona, brand, product, country, and city. The posts should be at most 80 characters in length.


[VARIABLE1:dummy]


Do not use the buyer persona in the 10 posts. 
Do not use the country in the 10 posts. 
Do not use age in the 10 posts.
Do not put the month in the 10 posts. 


The 10 posts should be based on industry research of what best to use depending on age, month, buyer persona, brand, product, country, and city. The 10 posts should also have the Flesch-Kincaid score next to each one. 


Two sections need to be:


GENERALLY RECOMMENDED:


This is the list of 10 posts, each with the Flesch-Kincaid score and the posts should be getting a minimum of 83 on the Flesch-Kincaid score. The ten posts should mention what social media considers the products or services' best features that people love based on social media mentions. 


MONTH RECOMMENDED:


This is the list of posts best recommended based on the month stated, each with the Flesch-Kincaid score. The list of posts should mention what social media considers the products or services' best features people love. 


Add the word RECOMMENDED next to the five posts most likely to get the best reach, resonance and relevance to the audience, and based on the Flesch-Kincaid score and the Flesch-Kincaid score should be next to each best. 


Add the word MONTH RECOMMENDED next to the five best most likely to get the best for month-stated reach, resonance and relevance to the audience based on the Flesch-Kincaid score. These best should be in the MONTH RECOMMENDED section. 


The posts should be perfect for the age, month, buyer persona, brand, product, country, and city and be the best for reach, resonance and relevance to the audience.


Add the URLs of sources of data that were used at the end. When possible, the data sources must be from what country and city the best are for. The posts can include local words used in the country or city but must not be offensive.


Use trusted data sources, well-cited research, and URLs of data sources should also consider using the below analysis from these universities, companies and experts. 
Research must be at most two years old. 


Include relevant emojis in the posts based on age, month, buyer persona, brand, product, country, and city but only two emojis per post. The emojis must be at the start of the post.


Include relevant hashtags in the posts based on age, month, buyer persona, brand, product, country, and city but up to two hashtags. 


Agency for Healthcare Research and Quality
Berkeley
Benemerita Universidad Autonoma de Puebla
CAES3
Coh-Metrix-Esp
Copy.ai
Danescu-Niculescu-Mizil
El Colegio de México
Google Keyword Planner
Harvard University
Hootsuite
Ibero
Indiana University–Bloomington
Instituto Politecnico Nacional - Mexico
Kansas State News
London School of Economics and Political Science (LSE)
Moz
National Libray of Medicine
New York University
Newsela
Oxford Academic 
Persado
Phrasee
Simplext
Sciences Po
Stanford University
Syracuse
Tecnologico de Monterrey
The Effect of Language Complexity on Online Review Helpfulness by Kim and Han
Twitter Keyword Targeting
Twitter Trends
UCL
Unam
Universidad Nacional Autonoma de Mexico
Universidad Autonoma de San Luis Potosi
University of Amsterdam
University of Cambridge
University of Michigan
University of Minnesota
University of Oxford
University of San Francisco
University of St. Thomas
Wiley
Writesonic
Yale University


The output shall be in [TARGETLANGUAGE].


[PROMPT]

使用提示: 根据年龄、月份、买家人设、品牌、产品、国家和城市，为一个品牌撰写10篇Facebook帖子。使用Flesch-Kincaid评分系统。