Rebecca Fearn

Preston's Summary

Rebecca Fearn is a freelance journalist and beauty writer, with her work appearing in publications such as Glamour Us, Cigalah Group, Marie Claire UK, and Elite Daily. She covers a wide range of topics, including beauty trends, skincare, fashion, and personal development. With a passion for writing and a keen eye for the latest trends, Rebecca provides informative and engaging content for her readers.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Coverage Attributes:

Beta
Promotional Deal: 35 %
Seasonal: 21 %
Review: 18 %
Gift Guides: 10 %
How To Guide: 6 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Beauty Industry
  • Hair
  • Makeup & Skincare
  • Perfume & Fragrance
  • Celebrities
  • Fashion Industry
  • Wellness Programs

Pitching Insights

Rebecca Fearn predominantly covers beauty and fashion, with a focus on reviews, promotional deals, and seasonal content. If you are reaching out to her, consider providing insights or products that align with these themes.

Since Rebecca's coverage includes reviews and promotions, she may be interested in receiving information about new beauty or fashion products for review consideration or exclusive promotional offers.

When pitching ideas to Rebecca, keep in mind that her geographic focus is not specified but given the nature of beauty and fashion coverage it can be assumed that international trends could also pique her interest along with local ones.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Hannah Coates
Beauty and Wellness Editor at British Vogue
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data