60 seconds pitches from the YES Award Finalists:StandardisationPrachi Jadhav, Kantar, IndiaModern Ways of Data CollectionSudeep Raj Rajagopal, Ipsos, IndiaMagic of Integration to Close the Gap Between Say & DoNeha Firdous, Diageo, IndiaResearch - the Millennial WaySneha Wankhade, Kantar, India
How holistic is your approach to making decisions on the most important marketing lever?
Winning with trends by understanding current trends and predicting trends before they occur can be used to launch an on-trend product in the market, prepare the innovation pipeline to help businesses gain market share in the category and drive growth.
This paper discusses harnessing omnichannel customer feedback data using deep learning, and integrated with NPS survey data to deliver superior customer experience (CX). While there is lot of work done and tool availability in this field for English, there is a lack of algorithms and research done for local languages, such as Bahasa Indonesian. We describe our Quasi Recurrent Neural Network (QRNN) based approach that we used on customer omnichannel feedback for topic modelling, priority prediction and sentiment classification. We further demonstrate the use of our work for multiple clients in Indonesia, in order to set up an advanced CX monitoring and improvement programme (CXM). We showcase our holistic approach to customer experience, integrating omnichannel customer feedback data with NLP-based predictions. We also showcase two cases where we deployed our intelligent CXM tool and set up intelligent conversation monitoring systems to predict customers at the verge of churn-out, beforehand.
When you have the Thunbergs of the world to the Trumps, and many in between, how do you find a common ground for sustainability to win?
When you have the Thunbergs of the world to the Trumps, and many in between, how do you find a common ground for sustainability to win?
Accurate recruitment has been an age-old problem in the world of quantitative research. Think about the last seven days: How many hours did you spend watching Netflix? What is the total amount of money that you spent buying groceries, both offline and online? How many days ago did you last open an app that you do not open every day? The human mind falters in recalling the details of actions taken today, let alone in the last week or month. Nonetheless, traditional recruitment still relies heavily on the user's claim of her category and product usage, purchase history, etc., which leads to inaccurate targeting. An error in recruitment can lead to a much higher gap between the derived insights and the truth. This problem is accentuated even further for mobile-first brands where 'micro-segments' are based on not one but multiple parameters, like purchase history, wallet size, dormancy, product category, etc. In cases where the client's database is used to connect with users accurately (through email/SMS/call), the outcome ends up being inefficient in terms of scale, investments and/or timelines. Can technology really help in accurately recruiting users on the basis of all these parameters with zero margin of error, and complement the insights collected through claimed research at scale, as well as in a cost-efficient manner? This paper demonstrates how a mobile-first brand and its research partner came together to solve the micro-segment recruitment of its app users, in order to solve the core problem of user retention.
Join Vandana as she addresses the 3 big shifts that will impact your brand playbook:- Digital as the gateway to the future, playing a larger role in consumers becoming self-reliant;- The new storefront - Traditional commerce now moving online;- Amplified value-consciousness and re-evaluating what is essential
This paper outlines the challenges of conducting qualitative research in the aftermath of a national tragedy. As the circumstances in which the research was conducted was traumatic for all involved, intense emotion work was required, especially in the recruitment of participants and moderation of discussions. The paper demonstrates that conducting research on subjects that are socially and culturally sensitive in nature can be emotionally demanding for a researcher, and may have a powerful personal impact on them as individuals. We bring to light how emotional skills become central in such studies and are as important as the intellectual and cognitive skills utilised - if not more. Qualitative researchers need to be resilient in not only managing the emotions of participants in a study, but also at managing the emotions of other stakeholders along with their own emotions.
This time, it will not be the AI winters we saw in the 1970s and 1990s, but a human winter, where the very relevance of human effort is being called into question. There is an irony inherent in this- developments in AI started to gain a strong momentum when an approach, modelled on the workings of the human brain, was adopted. This is now expected to make us obsolete! Further, as the discourse about the need for us to change and adapt to the new reality continues to gain momentum, I want to make the case that it is not so much by changing, but by staying true to what makes us human, that we will ride the AI wave; in fact, the success or failure of AI will depend on how human we remain.
This time, it will not be the AI winters we saw in the 1970s and 1990s, but a human winter, where the very relevance of human effort is being called into question. There is an irony inherent in this- developments in AI started to gain a strong momentum when an approach, modelled on the workings of the human brain, was adopted. This is now expected to make us obsolete! Further, as the discourse about the need for us to change and adapt to the new reality continues to gain momentum, I want to make the case that it is not so much by changing, but by staying true to what makes us human, that we will ride the AI wave; in fact, the success or failure of AI will depend on how human we remain.
90% of people in Asia want brands to do something about the issues they care about. But what do they care about? And what exactly do they want brands to do? Let us tell you more.