Maximizing Return on Investment Through Deep Learning-Driven Marketing Model

Deep learning is a subfield of machine learning in which predictions are produced from big datasets by neural networks. Maximum return on investment (ROI) calls both formulation and application of cost-cutting strategies. If companies are to maintain their production and the result of their investments, they should regularly check their expenses and look for ways to reduce costs without compromising their efficiency. Reducing unnecessary costs helps businesses increase the profitability of their capital and improve their return on investment. This model finds consumer behavior patterns using a deep learning algorithm and focuses on the audience most relevant to a given good or service. Constant data analysis and learning from it helps the model to improve targeting strategies, so generating a marketing campaign as successful and effective as could be. The proposed model turned out successful with an accuracy of $\mathbf{9 1. 0 0 \%}$, a precision of 96.02%, a recall of $\mathbf{9 2. 0 2 \%} \%$, and a f1-score from 97.04%. The ability of this strategy to adequately reach the target audience has significantly raised the return on investment (ROI), so increasing the possibility of conversion into customers. Companies can raise their return on investment and achieve more degrees of marketing success by means of deep learning technology.