In 2019, Gartner reported that almost 90% of business managers said it was important to use data to make their daily market-facing decisions. But the same study reported business managers consult four or more different data sources, including colleagues, market insights, direct customer interactions, customer experience, analytics and intelligence teams, Google and secondary sources.So how do you make it easy for your business partners to leverage all the valuable data and insights your company owns? Julia Sarhy from L'Oréal will join Market Logic for a discussion about their global initiative to democratize knowledge and insights for all L'Oréal employees with the One Intelligence platform.Key takeaways:- Business motivation to democratize insights across geographies and functions;- Proven strategies to design and launch a platform, and KPIs to measure success;- Personalized user experiences and social engagement to evangelize insights.
The following presentation shows how L'Oréal Spain evolved from a classic social listening practice, based on text interpretation, to image-based analytics by developing AI existing algorithms with machine-learning techniques. Discovering how fast the evolution has been in an environment where text is obsolete and image is king, forced us to push our technological boundaries to better understand the key agents in the beauty social ecosystem: influencers, brands and of course, our consumers. In addition, we have learned how the relevant insights that were detected helped L'Oréal Spain to be closer to our customers, learn from them and communicate in the most meaningful manner in order to maintain our leadership as the number 1 beauty player in the market.
The following report shows how L'Oréal Spain evolved from a classic social listening practice, based on text interpretation, to image-based analytics by developing AI existing algorithms with machine-learning techniques. Discovering how fast the evolution has been in an environment where text is obsolete and image is king, forced us to push our technological boundaries to better understand the key agents in the beauty social ecosystem: influencers, brands and of course, our consumers. In addition, we have learned how the relevant insights that were detected helped L'Oréal Spain to be closer to our customers, learn from them and communicate in the most meaningful manner in order to maintain our leadership as the number 1 beauty player in the market.
The general objective of this study is to analyze shopper's behaviour during their purchase intention processes at the retail outlet for the hair care category, specifically shampoo, and provide ELVIVEâs brand with relevant information to work on their marketing strategy. A sample composed of 40 female participants within one supermarket store was analyzed and the eye-tracking method was used to analyze their visual attention to different visual stimuli at a retail outlet. The results indicate that the more visual attention the consumer has to a specific shampoo brand, the greater their intention to purchase will be. Likewise, the more the consumer looks at the price of a shampoo brand, the greater their intention to purchase will be. However, not enough evidence has been found to affirm that the more visual attention paid by the consumer to the advertising of a specific shampoo at the retail outlet, the greater their intention to purchase will be.
Sonification is a new way of engaging consumers with the sensorial perception of a cosmetic product through sound and music. Qualitative consumer studies were conducted in Japan and Korea, aiming to examine how sound and music could enhance the product experience with consumers. This study confirmed that sounds and music, in addition to visual images, can be a key medium of communicating sensorial benefits of cosmetics.
In this paper the authors propose as framework, or spine, a modular behavioural model structure that imbeds the various sequential development tests, sets the guidelines for data collection and processing and provides the logic for various evaluative models designed for the specific elements under development. After exposing the principles of this framework, the authors describe its practical application through a case study before drawing general conclusions.