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The Media Machine: Optimizing Intermedia Efficiency through Continuous Algorithmic Evaluation Prof. Petri Parvinen Media Machine is an outgrowth of a major research effort on the sales-and-marketing-yield (SAMY) effects of inter-media advertising (Graphic Industry Association Finland, 2015). Shortly put, the SAMY research initative utilized data from three major retailers in Finland (home electronics, fast casual food and furniture) to examine the return on marketing investment by the companies. The dataset contained advertising media expenditure data from a multitude of channels and the attempt was to measure their relative effectiveness to detailed sales data as the dependent variable. better per euro when it was done with a large budget. The results of the SAMY research can be summarized as follows: The research observed the different roles of print and digital advertising, with the effect of print attributing to evoking emotional cues, activating willingness-to-purchase and drawing attention to new products whereas digital marketing excelled at product comparisons, attaching the buyer to the user community and providing price & provider information. The incremental marginal profit returns (here: sales-and-marketing-yield SAMY) that companies would get from increasing media expenditure are highly positive. By analyzing the marginal contribution of an increased media euro with the assumption of other costs being fixed was positive in 15 of the 16 media channels investigated in the study. The inability of the researched companies, which are well known for their advanced marketing and relatively high media budgets, to increase their media expenditure further can be attributed to 1. the lack of continuous follow-up knowledge regarding the channel-specific and relative inter-media efficiency of their marketing, and 2. the habit of thinking that marketing efficiency is at its best when the marginal contribution of a marketing euro is at its highest, not when every media with SAMY > 1 is spent. In other words, the companies are evaluating media efficiency by thinking that all marketing costs are variable when the media expenditure is decided upon, which it is not. The research witnessed how SAMY in coupon marketing was increased significantly when the volume of media expenditure was increased significantly – i.e. the marketing started working The research witnessed how SAMY in print marketing was increased significantly when the volume of media expenditure was shifted from newspaper advertising to newspaper-annexed print attachments. The research demonstrated how a high-end furniture catalogue can be finetuned to produce high SAMY The ad stock and half-life effect (durability of exercised marketing) was observed to be very important from the perspective of maintained SAMY effect. The SAMY research initiative has led to the development of “Media Machine”: a simple but widely applicable tool for continuously improving unbiased intermedia efficiency. The Media Machine extends algorithmic logic of banner advertising optimization to monitor and optimize marketing in the same way in all channels, digital or traditional, based on continuous learning. It suggests improvements for the media mix i.e. the amount of each media at any point in time or for budgeting decisions. Knowledgeable users at marketer companies, media agencies and media houses can also use Media Machine to experiment automatically and evaluate marketing substance such as creative content. In the future, the Media Machine will relate sales and marketing efforts to each other and optimize their relationship, as well as link sales and marketing efforts to each other into efficient combinations More information: Prof. Petri Parvinen, [email protected] +358 50 312 0905