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Using a line visualization is the most effective choice for displaying a revenue trend over the last month because line charts are specifically designed to show changes in data over time. They effectively illustrate the continuity and flow of data points, allowing for easy identification of patterns, trends, and movements within the revenue figures as they progress from one day to another over the designated time period.

In the case of a revenue trend, the x-axis would represent time (days in the last month), while the y-axis would represent the revenue amounts. This setup can visually convey how revenue fluctuates day by day, enabling quick analysis of any upward or downward trends.

Other visualization types, while useful in different contexts, wouldn't serve this purpose as effectively. For instance, a bullet chart is better suited for displaying performance against a specific target rather than illustrating a trend. A scatter plot is primarily used for showing the relationship between two variables, which doesn't align with displaying a solitary trend over time. A bar chart could be used to represent revenue for each day as separate values, but it wouldn't convey the continuous nature of the trend as effectively as a line chart, which connects the data points seamlessly and highlights the changes over that month.