Micro-models predict adoption patterns, revolutionizing marketing interventions for future products.
The study developed a computer model to understand how new ideas or products spread among people. By looking at how individuals see the benefits of adopting something new and how their friends influence them, the model could predict how quickly the new thing would become popular on a larger scale. The results showed that the model closely matched real-world adoption patterns. Factors like the number of early adopters, how quickly they spread the idea, and how much people value the new thing all played a role in how quickly it caught on. This information can help companies design better strategies to get people to adopt new products or technologies in the future.