Hannah Rogers

Assistant Fashion Editor

Preston's Summary

Hannah Rogers is an assistant fashion editor at The Times. She covers a diverse range of topics including beauty and fashion, digital health, and healthcare technology, while also styling celebrity portraits for The Times Magazine. Hannah's work has been featured in Glamour Us, The Times, and various other publications, and she is the author of the book The Chanel Style Principles, published in 2023.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Informative: 44 %
Opinion: 14 %
Promotional: 9 %
Reviews: 9 %
Listicles: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Digital Health
  • Telehealth
  • Apparel Design
  • Fashion Industry
  • Jewellery
  • Luxury Goods

Pitching Insights

Hannah's coverage predominantly revolves around beauty and fashion, with a focus on seasonal content, promotional deals, and gift guides. She appears to be interested in covering trends within the fashion industry, including specific styles and products.

Given her focus on seasonal and promotional content related to beauty and fashion, she would likely be open to pitches that align with upcoming seasons or holidays. For example, providing insights into emerging fashion trends or exclusive promotions could be well-received.

As Hannah doesn't have a specific geographic focus but is based in the United Kingdom, it may benefit outreach efforts to highlight any UK-specific angles when relevant.

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

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Cora Lydon
Journalist
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data