Kati Chitrakorn

Retail and Marketing Editor

Preston's Summary

Kati Chitrakorn is a Retail and Marketing Editor for Vogue Business. With a strong background in fashion journalism, Kati covers a wide range of topics including industry trends, brand strategies, technological advancements, and cultural influences. Her articles provide insights into the ever-evolving world of fashion and its intersection with business and consumer behavior.

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

Geo Focus

Coverage Attributes:

Beta
Press Release: 27 %
Cites Data: 18 %
Private Sector Announcements: 12 %
Expert Commentary: 8 %
Industry Specific: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Luxury Fashion
  • Beauty Industry
  • Fashion Trends
  • Branding
  • Fashion Events
  • Retail Technology

Pitching Insights

Kati Chitrakorn's coverage primarily focuses on the beauty and fashion industry, with a strong emphasis on press releases, data citations, and private sector announcements. She is likely to be interested in pitches that offer unique insights into emerging trends or exclusive data related to fashion, luxury brands, beauty industry, retail trends.

Given her reliance on press releases and private sector announcements for content creation, she may also be open to receiving pitches from PR representatives promoting new products or initiatives within the beauty and fashion space. If you have access to proprietary data or can provide an inside look at industry trends backed by solid information, Kati might find this particularly interesting.

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

Journalists With Similar Coverage:

Based on similarity of content.
Lucy Maguire
Trends Editor
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data