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Affiliate Marketing Article Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is a curated collection of 25 informative and insightful articles focused on various aspects of affiliate marketing. It serves as a valuable resource for researchers, marketers, and industry professionals seeking to gain knowledge and stay updated on the latest trends and strategies within the affiliate marketing domain.
Columns
- Title: The primary title of each article. This column contains 25 unique values.
- Article Name: An alternative or secondary name for each article. This column also contains 25 unique values.
- URL: The direct web address for each affiliate marketing article. There are 25 unique URLs provided.
- Content: The main body text of the article.
- Article Content: The primary content of the article, which appears to be similar in nature to the 'Content' column.
Distribution
The dataset consists of 25 unique articles related to affiliate marketing. It is typically available as a data file, such as a CSV, making it accessible for various analytical purposes. The current listing indicates 0 views and 0 downloads, with a global region focus and a version 1.0 release listed on 21/06/2025. The quality is rated 5 out of 5.
Usage
This dataset is ideal for:
- Conducting research on affiliate marketing strategies and trends.
- Developing and testing natural language processing (NLP) models on marketing content.
- Providing insights for content creation and SEO strategies in the affiliate marketing niche.
- Training AI models related to digital marketing topics.
- Staying informed on the evolving landscape of affiliate marketing for industry professionals.
Coverage
The dataset's coverage is noted as global, suggesting its content is relevant across different geographical regions. No specific time range or demographic scope for the articles themselves is detailed within the provided information.
License
CC0.
Who Can Use It
- Researchers: For academic studies or detailed analyses of affiliate marketing practices.
- Marketers: To understand current trends, competitor strategies, and potential content ideas.
- Data Scientists/Analysts: For text analysis, sentiment analysis, and building predictive models related to marketing content.
- AI/Machine Learning Developers: To train and refine models for content generation, categorisation, or summarisation in the marketing sector.
- Content Creators: As a source of inspiration and information for writing about affiliate marketing.
Dataset Name Suggestions
- Affiliate Marketing Article Dataset
- 10beast Affiliate Content Collection
- Digital Marketing Article Insights
- Affiliate Marketing Knowledge Base
Attributes
Original Data Source: 25 Affiliate Marketing Articles of 10beast website
QUALITY