Priyanka Bhargav | Associate Director, Consumer Insights and Research/Corporate Communications/PR
Myntra Designs | India

Priyanka Bhargav, Associate Director, Consumer Insights and Research/Corporate Communications/PR, Myntra Designs

Priyanka brings with her over 13 years of diverse experience of insighting, planning, analytics and operations across telecom, e-commerce, airline, manufacturing and retail. Previously she has worked at Nielsen, Tata group, Jet Airways, IMRB-Kantar. She has generated insights and implications from data using NPS, Segmentation, Brand Track, Customer Satisfaction tracking, qualitative techniques, U&A, online sentiment tracking etc. At Myntra, she manages Corporate Communications/PR along with Research & Insights. She believes in leveraging technology/social media to make insighting faster and richer. At IMRB International, (A WPP group company), she was managing P&L for South/West. She was instrumental in setting up Csat and loyalty framework for companies like Idea Cellular, Vodafone, Tata Steel, Nissan, Sab Miller, Lifestyle, Reliance Retail. For her contribution to Research and Insights in India, she has been conferred with “LEADERSHIP AWARD FOR CONTRIBUTION TO MARKET RESEARCH IN INDIA” at the MARKET RESEARCH AWARDS by World Marketing Congress, 2016. She has published and presented paper at ESOMAR Amsterdam, 2017, IIeX LATAM-Buenes Aires, 2017.

Appearances:



LEAD 2017 - Day Two @ 12:40

How loyalty programmes work: An offline vs online view

  • What loyalty means in the context of the eCommerce industry
  • How the role of loyalty programmes changes according to the business’ lifestage
  • How to regularly engage customers even if they are not shopping regularly: an online eCommerce perspective

LEAD 2017 - Day Two @ 16:00

Guiding customers to buy

  • How to use customer journey maps to help shorten the customer journey
  • How to understand where customers fall off, and what can be done to re-engage those who won’t buy
  • How customer journey maps can make marketing cheaper and more effective

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