Which reporting feature in Marketing Cloud Intelligence provides insights into campaign performance over time?

Time Series Analysis is designed specifically to analyze data points collected or measured at specific time intervals, enabling users to observe trends and patterns in campaign performance over time. This feature allows marketers to compare different time periods, identify peaks and troughs in campaign effectiveness, and assess the overall impact of marketing efforts over a designated timeline. By visualizing historical data, users can make informed decisions on future campaigns, adjust strategies to optimize performance, and better allocate resources.

The other options serve different purposes. The Campaign Dashboard typically provides a broad overview of various metrics and KPIs related to campaigns but may not focus specifically on trends over time. Real-time Analytics emphasizes immediate data processing and insights, which is useful for on-the-fly decision-making rather than longitudinal analysis. Performance Snapshot gives a static view of performance at a single point in time, lacking the dynamic perspective necessary for evaluating how results evolve. Thus, Time Series Analysis stands out as the optimal feature for understanding campaign performance over time.