Neo@Ogilvy appoints Flipkart's Ankush Talwar

Neo@Ogilvy appoints Flipkart's Ankush Talwar

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MUMBAI:  Neo@Ogilvy India has announced the appointment of AnkushTalwar as Analytics & Insights head of Neo@Ogilvy. 

With an experience of more than 12 years in data science, analytics & insights Talwar was an analytics leader with Flipkart before joining Neo@Ogilvy. At Neo, he will develop and scale the analytics capabilities for digital and performance media.

Neo@Ogilvy India president and country head Rajesh Bhatia said, “The client expectation from their digital media partners is changing rapidly. With so much focus on data and analytics, brand owners are increasingly looking at digital, specifically media partners, to provide always on insights and intelligence. I am delighted to have someone like Ankush who will lead Neo@Ogilvy’sjourney into analytics.”

Talwar has a legacy of incubating and building world class analytics and data science units. He has experience across multiple industry sectors spanning eCommerce, retail, bankingand utilities where he created the ability to grow on the path of data driven decision making and inturn saving precious marketing dollars.

In his last role, Talwar was the head of Customer and Brand Strategy Analytics at Flipkart, where he was responsible for enabling companywide deep customer understanding based on vast amounts of transaction, visits and views data. He was instrumental in providing deep insights about Customer NPS (Net Promoter Score) and support moving it northwards for the largest e-commerce portal in India.

During his stint at Payback, Talwar led the Insights and Analytics teams for the largest loyalty network in India. Rewarded multiple times for his contributions, he created a suite of predictive solutions to predict the Next Logical Customer Spend, thus enabling the Next Best Action from brands and clients. Here, along with his team, he delivered the first Digital Consumer Spend Bureau for India. He was also the brain behind delivering incremental Rs 500 crore revenue for India’s largest retail chain.

Before that his experience includes working with some of the best Fortune 500 companies & Tech startups, including Accenture and American Express, where he started and scaled advanced analytics teams from just a handful of members to 50plus  data science and analytics professionals. He also created models for complicated consumer marketing problems like Lifetime Value and Spend Intent.