Yashita Vashishth

Preston's Summary

Yashita Vashishth is a travel and lifestyle journalist who writes for publications such as Travel + Leisure Southeast Asia and Lifestyle Asia. With a focus on travel, Yashita's articles cover topics such as airline punctuality, travel-inspired perfumes, destination recommendations, and filming locations. Her work has been featured in Vogue India, Goyal & Co., and Condé Nast Traveller India.

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

Geo Focus

Coverage Attributes:

Beta
Event Coverage: 23 %
Government Announcement: 22 %
Press Release: 17 %
Seasonal: 8 %
Promotional Deal: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Art Dealing
  • Destinations
  • Air Travel
  • Tourism
  • Travel Technology
  • Airlines

Pitching Insights

Yashita's coverage primarily focuses on travel and tourism, with a significant emphasis on event coverage and press releases. She appears to be interested in articles that provide practical information about travel destinations, including tips for reaching specific locations and updates related to visas or fare reductions.

When pitching to Yashita, consider offering insights into upcoming events at popular tourist destinations or providing exclusive access to new developments in the travel industry. Sources who can offer unique perspectives on cultural or natural heritage sites may also find success when reaching out.

Given her focus on Asia-Pacific airlines' punctuality, she might be responsive to pitches related to similar rankings of airlines from other regions as well. However, given her lack of specific geographic focus within this region, it would be wise not to limit sources by location unless specifically pertinent.

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
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data