Using customer insights to drive transactions during off-peak periods
As the world’s largest video game retailer, GameStop has a huge selection of new and used games at great prices. However, the company’s loyalty members exhibited a tendency to shop exclusively when a new game title was released. GameStop’s stakeholders came to us with an interest in driving trade transactions during non-peak times through incremental visits. By leveraging predictive modeling tools, we knew we could determine which members were most likely to trade games based on past purchase behaviors. We theorized we could use the insights to deliver relevant and targeted messaging to this core audience and drive traffic during off-peak periods.