Prediction of full cost of a marketing campaign based on consideration for elements of randomness and the need for meeting a goal

The article offers a simple and efficient method to calculate the full cost of a marketing campaign using the most popular social networks. The author proposes a stochastic model for calculating the final cost of the advertising campaign, which describes most accurately the behavior of a user when viewing advertisements presented on the web page in the social network. The approximate number of productive click-through based on the potential target audience size is calculated. An example of calculation of the audience size using the obtained methods is given.