Rachel Strugatz

Beauty Editor-at-Large

AS SEEN ON

Preston's Summary

Rachel Strugatz is a Beauty Editor-at-Large. She specializes in the intersections of beauty and fashion, as well as the business and economics that underpin these industries, often exploring topics related to influential figures like Kim Kardashian and Kate Moss, as well as major platforms like Amazon Prime. Rachel's work has been featured in prominent publications including The San Diego Union-Tribune, The Seattle Times, The Business of Fashion, The New York Times, and Puck.

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

Geo Focus

United States (National)

Coverage Attributes:

Beta
Press Release: 33 %
Private Sector Announcements: 21 %
Cites Data: 8 %
Promotional Deal: 8 %
Investment Analysis: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Beauty Industry
  • Corporate Finance
  • Fashion Industry
  • Luxury Goods
  • Makeup & Skincare
  • Startups

Pitching Insights

Rachel Strugatz's coverage primarily revolves around the beauty and fashion industry, with a focus on investment analysis and press releases. She would likely be interested in pitches that provide insights into emerging trends in the beauty industry, particularly those related to new product launches, market data or investor perspectives.

Given her interest in investment analysis, she may also respond well to expert commentary from financial analysts or professionals familiar with the business side of the beauty industry.

While Rachel does not specify a geographic focus, her broad themes indicate an international perspective on the beauty and fashion industry. Therefore, relevant pitches should consider global implications and trends within this sector.

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

Journalists With Similar Coverage:

Based on similarity of content.
Liz Flora
Beauty Correspondent
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data