The Impact of Influencer Marketing on Consumer Purchasing Decisions in the Digital Age Based on Prophet ARIMA-LSTM Model

Many companies still fail to see the value of influencer marketing, star ratings, and customer reviews due to ignorance and a lack of understanding. Researchers are interested in the topic of The Relevance of Influencer Marketing, Ratings and Customer Reviews on Purchasing Decisions because it shows how important it is to have a strategy that combines influencer marketing with positive customer interactions and a good product reputation to influence consumer purchasing decisions. Preprocessing, feature extraction, and model training are all part of the suggested method. Additional measures were taken to guarantee the data's accuracy and relevancy during the SQL data preprocessing phase. Word bags, TF-IDF, and chi-square are the building blocks of feature extraction. During the whole training process, the Prophet-ARIMA-LSTM model was continually employed. This novel approach outperforms ARIMA and LSTM with an average accuracy of 92.72%.