In the era digital marketing, advertising plays fundamental role in attracting consumers' attention. Visual and verbal stimuli, as two important parts, have a significant impact on arousing the attention and cognitive engagement of customers. In this study an attempt has been made to identify and classify the components that affect the attention customers to digital advertisements, focusing on the role visual and verbal stimuli that have been mentioned in previous studies, in order to provide a platform for designing effective advertising models. The present study is developmental-applied in terms of its purpose and qualitative in terms of the nature the data. The research method is analytical-descriptive, and its qualitative data has been collected using a systematic review research method with a meta-synthesis approach. The selection of documents for the study was done using the available method, and these documents were extracted from the Google Scholar search engine in the electronic databases of Elsevier, Science Direct, Emerald, and Springer, during the years 2015 to 2025. Through content analysis, from total 348 initial texts identified, 70 prominent concepts were finally identified in the form 5 key categories and 5 dimensions or main features for digital advertising texts with the help Maxqda 24 software, which are: visual elements. verbal elements, argumentative power, customer attention to advertising, and consumer persuasion.
As result, among the research dimensions, the visual elements dimension had the most extensive scope, and the dimensions consumer persuasion, customer attention to advertising, argumentative power, and verbal elements were ranked next in importance.