What does BFTSM mean in UNCLASSIFIED

Bass Fisks two scale model is a mathematical model used to predict how customer adoption and usage of new products spread throughout a market. It helps businesses understand the dynamics of customer behavior when launching a new product or service and how it will evolve over time.

The Two Scale Model works by employing four variables – Innovators, Early Adopters, Late Majority and Laggards - to analyze the diffusion of innovation among customers. Through this model, marketers can identify which population segments are likely to be most receptive to their product or service.

The four variables used in the Two Scale Model are Innovators, Early Adopters, Late Majority and Laggards. These groups represent different stages in adoption rates for a particular product or service and provide businesses insights into what population segments they should target in order to maximize success.

The Two Scale Model was developed by Everett Rogers in 1969 as an extension of his Diffusion of Innovation Theory which studies how new products and ideas spread through different populations over time.

Innovators are people who actively seek new technologies and products before they become popularized among the mainstream population. They tend to have higher incomes, greater technical knowledge than average, and often influence other people’s opinions about a product or service.

Early Adopters are people who are likely to adopt a product or service shortly after it has been made available but before it becomes widely accepted by the mainstream population. They typically possess more sophisticated than average tastes pertaining to technology, fashion or culture-related pursuits making them key targets for marketers trying to increase uptake of their products within early stages of its launch.

Late Majority are those consumers who wait until other people adopt a product before doing so themselves due largely in part because they fear risk associated with adoption ahead of others or potential embarrassment from purchasing something that is not yet popularized among majority populations. Generally speaking, these consumers don't want appear an early adopter but won’t miss out on experiencing something that might become widespread trend at some point in near future either.

By carefully analyzing each stage of consumer adoption you collected from your data you can identify which characteristics characterize users belonging best fit each phase – i.e., what age group is most interested in purchasing your product as innovators vs late adopters etc.- so as maximize marketing efforts towards most relevant audience segments you deem necessary for successful launch/growth strategy.