We created a fusion recipe for innovation testing by using CPG innovation screening methodologies as a starting point and reinvented them to reflect QSR realities.
McDonald's Canada partnered with Dig Insight to build a new menu testing solution. We created a fusion recipe for innovation testing by using CPG innovation screening methodologies as a starting point and reinvented them to reflect QSR realities.
We created a fusion recipe for innovation testing by using CPG innovation screening methodologies as a starting point and reinvented them to reflect QSR realities.
The plummeting of response rates figures is a very well-known issue in the Market Research industry. While the possible ways to deal with this issue are plentiful, an unavoidable candidate is engagement, in particular among Millennials. We test the use of two innovative technologies in the field of Artificial Intelligence in order to improve survey engagement: Google Vision API for classifying images and a speech recognition tool to convert voice input to text. The results of both studies are positive and draw a promising landscape for further research.
This paper describes the results of a parallel test of two methods of collecting radio tuning data with different diary designs. One diary design uses a pre-printed quarter hour approach where there is a row for each quarter hour in the day and the respondents are asked to draw a line across the quarter hour blocks when they listened. The other diary allows the respondents to write in the exact time they started and finished listening. The comparison focused on return rates, tuning and reach analysis, and a profile of the respondents between the two diary methodologies. The aim of the test was to determine whether the different diaries were better at gathering tuning information or elicited a better response.
The paper describes the work that has been carried out to test a set of existing marketing research methodologies applied to the internet environment. One of the objectives of this project is to test how spontaneous opinions can be used as a valuable input for marketing research activities, mainly in customer satisfaction research. It also describes the early stages of building an internet consumer panel out of an already existent internet community. The results at this stage of the project are based on the analysis of opinions already given and rated by the virtual community members, without being asked any additional questions.
This paper describes how 3M utilized an award-winning frequency marketing program, Reminder Service, to increase learning and add to customer value. Recognizing the potential value of the data being collected on consumer behavior, 3M solicited assistance to leverage this information and to maximize learning about the program and its impact. By networking with the fulfillment house, and bringing in the expertise of a research and database firm, the data was transformed from a customer mailing list into a relational database. A fifteen-month test period was authorized to allow for testing of various marketing initiatives. At the conclusion of the test period an analysis was completed to quantify the impact and measure the programâs ROI.
The radio survey method test carried out in 1995 by the German radio organisations within AG.MA was a milestone in German radio research in many respects. This was the first time that a method test of this kind had been carried out in Germany, at great expense, in order to validate reach figures. As a result the knowledge gained will also have far- reaching implications for radio survey methods. The concept of this large-scale multi-method test was presented at the 1st ESOMAR Radio Research Symposium, which took place in Paris two years ago. This report presents the most important results of this multi- method test to a large international audience of experts for the first time. In the first part of this report the different test models and the motives which led to carrying out the study will be briefly reviewed. The most important and interesting results will then be presented. In conclusion the results will be summarised and the outlook and recommendations for future radio research will be provided.
In our data matrix we have one variable of particular interest and we wish to see how it is affected by movements in a single explanatory variable. For example, the variable we might be interested in is Sales in £mn and we may wish to know how it is affected by advertising expenditure in £000's. The rows of our data matrix may consist of the last seven years of data for these two variables.
The objectives of this paper are two-fold : first of all, it seeks to test a model of consumer behaviour and secondly to present a new approach to segmentation studies by using the results of the test as a guide . To this end, a survey of 352 cases of new perfume purchase was carried out. The incidence of personal values ,involvement, and innovativeness on the number of such articles bought was estimated using the L.V.P.L.S structural equations model. On the bases of these results, a typology is presented which establishes four groups of consumer types. The results show that each group has a specific structure as far as the variables considered are concerned.