Trishna Rikhy

Preston's Summary

Trishna Rikhy is a versatile journalist who writes for various publications including Esquire Philippines, Esquire magazine, and Men's Health magazine UK. Her articles cover a range of topics including fashion, lifestyle, and product reviews. With a keen eye for style and a passion for finding the best deals, Trishna's work provides readers with valuable insights and recommendations.

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

Coverage Attributes:

Beta
Promotional Deal: 48 %
Gift Guides: 19 %
Seasonal: 17 %
Review: 7 %
How To Guide: 3 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Fashion Industry
  • Apparel Design
  • Luxury Goods
  • Beauty Industry
  • Makeup & Skincare
  • Celebrities

Pitching Insights

Trishna Rikhy focuses on house & home, beauty & fashion, and deals & promotions. She predominantly covers promotional deals and gift guides related to winter clothing, men's fashion, sales, and winter gear. For effective outreach to Trishna, consider pitching products or services aligned with these themes that are relevant for seasonal changes and promotions within the fashion and home sectors. If you represent a company offering new product releases or sale promotions in these areas, it is likely to capture her interest.

Additionally, if you have insights into emerging trends in the fashion industry or can provide expert commentary on popular products related to house & home as well as beauty & fashion topics covered by Trishna Rikhy’s articles could be of relevance for her coverage.

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

Journalists With Similar Coverage:

Based on similarity of content.
Gerald Ortiz
Style Commerce Writer
Most recent topics
Not enough data
Tyler Chin
Associate Commerce Editor Of Lifestyle
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data