Times of India Group campaigns bag 11 wins at INMA Global
The campaigns showcased India's achievements in 75 years since Independence
TOI’s 30 inspiring stories from across the length and breadth of the country won big at the recently held INMA Global Media Awards.
From India's digital revolution, led by its pathbreaking online payments system, to its endeavours in space, art and conservation and many other fields, the campaign, powered by TOl's extensive network of journalists spread across the country, showcased India's achievements in 75 years since Independence as a continuum of progress while emphasising that this is the best time to be Indian.
The other top winning campaigns included:
#lamHyderabad: A city celebration campaign aimed at showcasing the love and pride of residents in their city, by drawing upon user-generated content that showed the many facets of Hyderabad.
Times Podcast Challenge: Promoted education through technology in Kolkata, asking students to submit their podcasts on specific themes via the Ei Samay Gold platform.
Ek Hobar Utsav (Ei Samay): In these polarising times, the campaign showed the power of 'one' by bringing in heartwarming stories of 'oneness' from various corners of Bengal.
Navbharat and Ei Samay Gold: For driving these podcasts to attain maximum subscribers, this involved creating internal dashboards through which tools such as Google Data Stud and marketing automation platforms were leveraged.
The Art of India Fest 2022: This national platform for showcasing Indian art brought together over 400 artworks by 220-plus artists, ranging from eminent names to students from art colleges at a physical exhibition at India's largest exhibition centre.
Print Ad with Augmented reality - Hyundai Ad: Via a QR code in a print ad, through usage of WebAR technology, an experience of Hyundai's Agile Mobile Robot (called SPOT) was brought alive for the readers of TOI and ET in key cities.
Client Deduplication-innovative Al-driven customer data grouping: The Business Insights team created an in-house machine learning-based tool for client deduplication, creating a base of over 10 years of data with more than 90% accuracy.
