Yasmin Harisha

Features Writer

Preston's Summary

Yasmin Harisha is a Features Writer at Fabulous Daily, contributing her expertise to a variety of topics including beauty and fashion, family and relationships, and architecture. With a keen focus on the intersections of style, retail, and environmental issues, Yasmin's work explores the nuances of modern living and personal expression. She has been featured in prominent publications such as North Queensland News, The Scottish Sun, and News.com.au.

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

Geo Focus

United Kingdom (National)

Coverage Attributes:

Beta
Promotional Deal: 28 %
Seasonal: 24 %
Review: 11 %
How To Guide: 8 %
Cites Data: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Beauty Industry
  • Hair Care Industry
  • Home & Garden
  • Apparel Design
  • Fashion Industry
  • Interior Design

Pitching Insights

Yasmin's articles predominantly focus on house & home and beauty & fashion, with frequent coverage of seasonal topics. She often includes expert commentary, which indicates a willingness to engage with industry professionals for insights and tips.

Given the seasonal nature of some of Yasmin's content, she may be interested in pitches that tie into upcoming events or holidays within the beauty, fashion, or house & home space. For example, offering expert advice on holiday decorations or skincare routines for specific seasons could be well received.

If your expertise lies in areas such as interior design trends, fashion styling tips for specific occasions (like Christmas), or unique beauty regimens tied to seasonal changes – these would likely align well with Yasmin's coverage.

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

Journalists With Similar Coverage:

Based on similarity of content.
Josie O'Brien
Senior Fabulous Digital Writer
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