Opendatabay APP

Patreon Campaign Success and Supporter Growth Data

Influencer & Brand Mentions

Tags and Keywords

Patreon

Creators

Patrons

Crowdfunding

Monetisation

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Patreon Campaign Success and Supporter Growth Data Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

Understanding the landscape of independent content creation is essential as creators increasingly turn to direct fan support to sustain their work. This collection highlights the top 1000 creators on Patreon, offering insights into the relationship between the duration of their campaigns, the nature of their content, and the volume of patrons supporting them. By analysing these metrics, researchers and creators can identify patterns that contribute to successful long-term monetary support in an era where traditional social media revenues often fall short.

Columns

  • Rank: The numerical position of the creator based on their standing within the top 1000.
  • Creator_URL: The direct web address to the creator's profile on Graphtreon.
  • Creator: A descriptive field containing basic information and context regarding the creator's creative output.
  • Creator1: The official name or title of the creator or project.
  • Patrons: The total number of individual supporters currently contributing to the campaign.
  • DaysRunning: The total number of days elapsed since the initial launch of the fundraising campaign.
  • Launched: The specific calendar date on which the creator first started their Patreon campaign.

Distribution

The information is delivered in a single CSV file titled Patreon1-1000.csv, with a file size of approximately 151.63 kB. It consists of exactly 1,000 valid records structured across 7 distinct columns. The data exhibits high integrity with a 100% validity rate across all identifiers, names, and numerical fields. This is a static historical release with no future updates expected.

Usage

This resource is ideal for conducting market research into the gig economy and independent content creation trends. It is well-suited for statistical analysis to determine if the longevity of a campaign correlates with a higher number of supporters. Additionally, data analysts can use the descriptive text fields to categorise creators by topic and identify which niches are most successful at garnering monetary support, while aspiring creators can use the rankings to benchmark their own growth strategies.

Coverage

The scope is focused on the top 1000 performers on the Patreon platform globally as identified through Graphtreon scraping. Temporally, the launch dates within the dataset range from 14 January 2020 through to 19 December 2020. The collection captures a snapshot of digital creators working across various domains, providing a view of high-performing campaigns during this specific calendar year.

License

CC0: Public Domain

Who Can Use It

Independent creators can leverage these records to understand the competitive landscape and set realistic expectations for campaign growth. Business analysts may utilise the patron counts and campaign durations to evaluate the health of the creator economy. Furthermore, academic researchers and students can use the clean, structured data to study online communities and the shift towards direct-to-fan funding models.

Dataset Name Suggestions

  • Patreon Top 1000 Creators: 2020 Performance Metrics
  • Independent Creator Economy: Patreon Top 1000 Analysis
  • Graphtreon Scraped Data: Top Patreon Campaigns and Patrons
  • Patreon Campaign Success and Supporter Growth Data
  • Top 1000 Patreon Creators Performance Registry

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

28/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Loading...

Free

Download Dataset in CSV Format