Google and Nielsen came together to develop a way to better understand how consumers go about researching and buying mobile phones. With the internet in the palms of their hands, consumers interact a lot with the medium before considering and/or evaluating or purchasing any product. We wanted to capture this interaction and how this influences the path to purchase for the category. The goal was to reduce reliance on claim-based research techniques, especially owing to the complexity of the digital touch-points to mobile phone purchases, and move to observation-based research.
In 2019, GSK started to explore the role of an AI Self Care Coach that you can interact within a retail healthcare environment. An initiative ahead of its time and the foundation for a new digital and in-store strategic direction that is more important than ever before, in our increasingly contactless world. This is a story that will take you through our experimentation journey, where we played with different research techniques to get beyond the obvious stated Purchase Intent or Engagement and into the potential of technology in the store of the future...which is today!
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 ELVIVEs 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.
Science showed that 70% of communication is about its creative content not marketing power. Traditional research however measures just rational requirements. This presentation is a call-to-action - a call to combine all research and analysis sources in order to create actionable outcomes.
Marketers have always known the role that emotions play in consumers' product purchase process. Today, in addition to injecting emotions into new products through advertising, marketers are building emotions into their product designs. Researchers have recognized the importance of measuring emotions embedded in products but the traditional metrics of rating scales fail to reflect the true picture. Various neuropsychological technologies have emerged but none is easily scalable or easy to interpret. Voice analytics, which comprises linguistic and acoustic components, provides a highly viable new solution to marketers' needs. This paper illustrates the potential for mass adoption of voice analytics with a pilot study recently completed in India, illustrating how the analysis of consumers' spoken responses brings a level of insight that traditional rating scales cannot provide alone.
Australia's $2 trillion superannuation industry is fiercely competitive and recent legislation made it easier than ever for consumers to move between providers. Growing share of wallet by convincing existing customers to consolidate their entire super savings into their Mercer account is a business imperative, but annual marketing efforts were achieving diminishing returns at increased cost. Our Insights and Analytics team was tasked with identifying barriers to action and clearing the path to purchase. The work resulted in the most effective consumer marketing campaign in Mercer's history; permanently transforming the customer experience and influencing lasting change across the business.
Our industry commonly accepts as a given that shoppers take a journey as they come to make a purchase decision. This paper will contradict that belief, suggesting that while a path to purchase may be useful from a marketing research perspective, its utility for marketing researchers is at best limited. The paper will discuss why this concept is not useful for researchers and what we researchers should be worried about instead.
The Cognitive Interview is a qualitative interviewing technique derived from forensic police methods for eyewitness interrogations. Our presentation explains how this technique can add value to market research generating insights on the detailed perception of a retail environment. To better illustrate the performance of this technique, we present the learnings from different CI shopper studies conducted in Germany by Séissmo and in Israel by Brandman Research. Using the example of Müllermilch, we show how to uncover the motivators for impulse purchases with the help of the Cognitive Interview. We also applied the technique to unravel priming effects in the shopping of soft drinks in Israel and to understand the buying decision process of baby's gear among first time mothers in the USA.
The evolution of technology has fundamentally shifted the position of the consumer. It's no longer about marketers talking at customers, but rather about customers choosing how and when to engage with brands. Today's consumer is empowered by technology, choosing companies not based solely on local convenience, but on the value they offer. Businesses are aware of the new consumer, yet challenged with understanding their needs and how to engage effectively with them. We'll demonstrate how a single-source methodology can help marketers to harness insights of today's consumer at a 4-dimensional level, and uncover new insights for advertisers around purchase intent vs. actual behavior. This 1:1 approach was developed to further understand motives and behaviors of the digitally engaged consumer.
A big data era changes everything in the auto sector, from product design to product management, from sales to after sales. A business line has developed in Chinese auto OEMs: data generation, data collection, data rental, data outsourcing, data hosting, data integration, data quality investigation, data management, data warehouse and data mart, business and location intelligence, data analyses and mining (modeling), operational and analytical, CRM, customer club and loyalty programmes, even database marketing. This presentation delivers a new auto business format with the above concepts and applications, and with a big bang from third party data, i.e. e-commerce, social media and the vehicle internet.