The study's overarching goal is to lay out a data analytics model for digital marketing that can use measures like website traffic, social media engagement, email open rates, customer information for targeted personalisation, and customer journey analysis to draw conclusions about campaign success and guide future strategy. Criteria for a successful campaign plan are defined by this model. The research data was analysed using a statistical analysis method. A survey was used to collect data. Using the structural equation model (SEM), this research descriptively analyses demographic factors. Subjects from 115 online stores and 125 digital media outlets filled out the extensive questionnaires. A total of 240 individuals were recruited for the study. Informed methods, customer journey research, social media data, and effective advertising are closely associated, according to the results. The assessment of website performance falls short of the success of the marketing strategy, as compared to the prior research. Any business that has an online presence and regularly interacts with customers may benefit from the model's output.

The study's overarching goal is to lay out a data analytics model for digital marketing that can use measures like website traffic