Forecasting success via early adoptions analysis: A data-driven study

Giulio Rossetti, Letizia Milli, Fosca Giannotti and Dino Pedreschi

PLOS ONE, 2017, vol. 12, issue 12, 1-21

Abstract: Innovations are continuously launched over markets, such as new products over the retail market or new artists over the music scene. Some innovations become a success; others don’t. Forecasting which innovations will succeed at the beginning of their lifecycle is hard. In this paper, we provide a data-driven, large-scale account of the existence of a special niche among early adopters, individuals that consistently tend to adopt successful innovations before they reach success: we will call them Hit-Savvy. Hit-Savvy can be discovered in very different markets and retain over time their ability to anticipate the success of innovations. As our second contribution, we devise a predictive analytical process, exploiting Hit-Savvy as signals, which achieves high accuracy in the early-stage prediction of successful innovations, far beyond the reach of state-of-the-art time series forecasting models. Indeed, our findings and predictive model can be fruitfully used to support marketing strategies and product placement.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0189096

DOI: 10.1371/journal.pone.0189096

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