Dayparting Heatmap Explained

The Dayparting interface includes a performance heatmap that visualizes advertising activity across different hours of the week.

This heatmap helps advertisers identify when campaigns perform best and when performance is weaker. By analyzing these patterns, advertisers can create time-based rules that increase advertising exposure during strong performance periods and reduce spending during weaker periods.

The heatmap is designed to provide a clear visual representation of advertising performance across the entire week.

Heatmap structure

The heatmap is organized as a grid that represents the weekly advertising timeline.

The grid structure consists of:

Each cell within the grid corresponds to a specific hour within a specific day.

For example:

Each of these time slots displays performance information for that specific hour.

Performance visualization

The heatmap uses color intensity to indicate the relative strength of performance during each time slot.

When a metric is selected, the system calculates the metric’s value for each time slot and displays it in the grid.

Cells with stronger performance values typically appear more visually prominent, while weaker performance periods appear less prominent.

This visual pattern helps advertisers quickly identify trends such as:

These insights help guide the creation of Dayparting rules.

Metric selection

The heatmap allows advertisers to analyze performance using different metrics.

The metric selector determines which performance indicator is visualized in the grid.

Common metrics available for analysis include:

Changing the selected metric updates the heatmap to display the performance distribution for that metric across the week.

For example:

This flexibility allows advertisers to analyze different aspects of campaign performance before creating time-based rules.

Using the Heatmap for rule creation

The heatmap is not only a visualization tool but also an interaction tool.

Advertisers can select specific time slots directly within the grid to create Dayparting rules.

Once time slots are selected, the system allows advertisers to configure a rule that adjusts advertising behavior during those periods.

These rules may modify:

The heatmap therefore acts as both a performance analysis tool and a rule configuration interface.