Predictive analytics are becoming more important in improving the efficacy of advertisements due to the rising dependence on digital platforms and the complicated nature of media landscapes. Media planning tactics and advertising results may be improved with the use of predictive analytics, according to this research. A descriptive study approach was used to gather data from 125 advertising, digital marketing, and media planning experts, managers, and workers from different firms. To make sure that the people who filled out the survey had experience in predictive analytics, researchers used a purposive sampling method. Key advertising results including targeting accuracy, ROI, consumer engagement, and cost efficiency were examined, along with respondents' knowledge and opinions of predictive analytics' influence. Frequency distributions and percentage analysis were used to display the findings of the descriptive statistical analysis that was conducted on the data. Results show that most people are aware of predictive analytics to varying degrees, but they have a generally good impression of its usefulness, seeing it as a tool that helps with marketing accuracy, audience engagement, and strategic decision-making. The research provides useful information for businesses that want to maximize the effectiveness of their ads and highlights the rising significance of analytics-driven methods in contemporary media strategy. Ad campaigns that are data-driven tend to be more successful, and the study shows that predictive analytics may help with that.