ADP: How many people use my product
In ADP: Adoption Probability, Triers and Users Rate of a New Product

Description Usage Format Details Author(s) Source See Also

A data base of adoption probability by triers and users user_p - a vector of percentage (0<users<1) of users. triers_p - a vector of percentage (0<triers<1) of triers ADP - vector of predicted percentage (0<ADP<1) of the adoption probability of an innovative product in the population.

ADP

An object of class data.frame with 100 rows and 3 columns.

The measuring of triers is relatively easy. It is just a question of whether a person tried a product even once in his life or not. While measuring the rate of people who also adopt it as part of their life is more complicated since the adoption of a product is a subjective view of the individual. Mickey Kislev and Shira Kislev developed a formula to calculates the prevalence of users of a product to overcome this difficulty. The current dataseet assists in calculating the users of a product based on the prevalence of triers in the population.

For example, suppose that a candy company launched a new chocolate bar. A candy company can collect data on the number of people who tried their chocolate bar and know from the rate of triers how many people decided to consume the new chocolate bar regularly. It should be noticed that the model was proved only on consumer behaviour of adults above the age of 21 years old and above.

Mickey Kislev and Shira Kislev

Kislev, Mickey M. & Kislev, Shira, (2020). The Market Trajectory of a Radically New Product: E-Cigarettes. IJMS 12(4):63-92, DOI:10.5539/ijms.v12n4p63

ptriers, pusers, adp.t, and adp.u

ADP documentation built on Aug. 13, 2021, 5:09 p.m.