Aakanksha Kirtane
AS SEEN ON

Preston's Summary

Aakanksha Kirtane is a journalist for Vogue India, specializing in fashion, beauty, and lifestyle. With a keen eye for celebrity style and trends, Aakanksha provides readers with the latest updates on fashion shows, red carpet looks, and beauty tips from renowned figures in the industry. Her articles capture the essence of Indian fashion and showcase the influence of Bollywood celebrities on global fashion trends.

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

Geo Focus

Coverage Attributes:

Beta
Event Coverage: 45 %
Exclusive: 13 %
How To Guide: 11 %
Promotional Deal: 9 %
Profile Feature: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Fashion
  • Celebrity Style
  • Red Carpet Events
  • Beauty Trends
  • Travel Fashion
  • Indian Designers

Pitching Insights

Aakanksha's coverage is heavily focused on beauty and fashion, with a particular emphasis on event coverage and exclusive content. She appears to have a strong interest in celebrity fashion choices, luxury lifestyle trends, and expert advice related to beauty and fashion.

Given Aakanksha's focus on event coverage and exclusives, she would likely be interested in pitches that offer behind-the-scenes access or exclusive interviews with prominent figures in the world of beauty and fashion. Topics related to celebrity style influences, luxury brands, as well as tips from renowned experts could align well with her interests.

As Aakanksha primarily focuses on India without specific geographic restrictions mentioned, pitches should consider tailoring content to resonate within the Indian market while also appealing to an international audience due to the global nature of the fashion industry.

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

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
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