Marketing, advertising, and communications processes have changed to strategically capitalize on an increasingly digitally-transformed, technologically-empowered, globally-interconnected consumer, or what Service Dominant Logic refers to as actors that are resource-integrators. Put simply, customers are co-creators of value in the collaborative or sharing economy, and seek to actively reap the benefits of new knowledge growing at an exponential rate. However, developing models of customer behavior, especially the influence of a new kind of advertising based on the integrated use of television, web and social networks, is a challenge. Our study starts from a preliminary empirical observation of the impact of TV Cooking Shows on the variations of potential demand (queries on Google) and the purchase of branded/unbranded culinary products, used on the show. Neural networks (nns) were used to learn significant correlations, and resulted in an Operative Marketing 3.0 model. This model clearly explicates this impact factor on the consumer purchasing process generated by a new mode of creating ICT-based communication. As a result, using these types of models businesses can more strategically plan the presence of products of interest on television programs designed according to M@SECI and M@BA (a pervasive smart-space model for online marketing).
Learning the models of customer behavior : from television advertising to online marketing
Bassano, Clara;GAETA, Matteo;PICIOCCHI, Paolo;
2017-01-01
Abstract
Marketing, advertising, and communications processes have changed to strategically capitalize on an increasingly digitally-transformed, technologically-empowered, globally-interconnected consumer, or what Service Dominant Logic refers to as actors that are resource-integrators. Put simply, customers are co-creators of value in the collaborative or sharing economy, and seek to actively reap the benefits of new knowledge growing at an exponential rate. However, developing models of customer behavior, especially the influence of a new kind of advertising based on the integrated use of television, web and social networks, is a challenge. Our study starts from a preliminary empirical observation of the impact of TV Cooking Shows on the variations of potential demand (queries on Google) and the purchase of branded/unbranded culinary products, used on the show. Neural networks (nns) were used to learn significant correlations, and resulted in an Operative Marketing 3.0 model. This model clearly explicates this impact factor on the consumer purchasing process generated by a new mode of creating ICT-based communication. As a result, using these types of models businesses can more strategically plan the presence of products of interest on television programs designed according to M@SECI and M@BA (a pervasive smart-space model for online marketing).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
