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Fiverr Marketplace Offer Analysis
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Data concerning freelancers' offers, prices, and ratings available on Fiverr is presented here. This collection was extracted to facilitate market research for individuals planning to start an online freelancer business on the platform, providing key details about market rates and user feedback. Analysts can use this information to examine the relationship between seller ratings and pricing, and potentially develop models to forecast performance or price setting within the gig economy. The data offers insights into which freelancer activities are in high demand and where market supply is concentrated.
Columns
- Category: Indicates the primary skill grouping of the offer, such as 'Writing & Translation' or 'Video & Animation'.
- Category-href: The associated URL for the main category page on Fiverr.
- Subcat: The specific subcategory detailing the type of service offered.
- Subcat-href: The URL corresponding to the detailed subcategory.
- name: The title of the offer or gig. Note that this field has been improved in the cleaned version of the dataset.
- stars: The average rating achieved by the offer, typically reflecting the number of reviews received. This field is also enhanced in the cleaned data.
- price: Represents the minimum starting price of the service offer. This field is enhanced in the cleaned data and includes currency information (e.g., Euros).
Distribution
The primary file is named
fiverr.csv and is approximately 1.73 MB in size. The dataset is structured with 7 distinct columns. It contains 6183 valid records for key fields like Category and Subcategory. There are 7 unique main categories observed, with 'Writing & Translation' and 'Video & Animation' being the most frequently listed. The dataset includes 129 unique subcategories, with 'Data Analysis & Reports' appearing as one of the most common. Prices often start at €4.44.Usage
- Conducting market research on prevailing price points and demand levels on the Fiverr platform.
- Building predictive models to assess whether an offer’s star rating significantly influences its price, or vice versa.
- Determining the relationship between average stars received and the volume of reviews.
- Identifying the most sought-after freelancer activities and regions of high supply.
- Evaluating the viability of entering the freelance market with a specific skill set versus remaining in a traditional job.
Coverage
The data focuses exclusively on offers posted by freelancers on the Fiverr platform. The dataset captures details on ratings, pricing (including minimal prices often noted in Euros), categories, and subcategories, providing a snapshot of the gig market structure. Temporal coverage details are not specified, but the data is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
- Aspiring Freelancers: Individuals aiming to launch a business on Fiverr can use the data for initial market sizing and competitive pricing strategies.
- Data Scientists and Analysts: For developing models focused on pricing elasticity, consumer behaviour, and feedback loops in digital marketplaces.
- Business Strategists: Those interested in assessing the growth and structure of the global online freelance economy.
Dataset Name Suggestions
- Fiverr Marketplace Offer Analysis
- Freelancer Pricing and Rating Dataset
- Gig Economy Performance Metrics
- Fiverr Offers Market Study
Attributes
Original Data Source: Fiverr Marketplace Offer Analysis
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