A time series chart is essential for analyzing how a metric evolves over time, offering more depth than aggregated summaries. It enables users to identify trends, seasonal patterns, and correlations with other metrics, enhancing strategic decision-making.
Marketers can use it to detect changes, evaluate the impact of promotions, and compare different metrics like revenue versus spend. Furthermore, it allows for detailed comparisons such as analyzing two distinct advertising campaigns or comparing the same holiday period against previous years.
How to access
Navigate to the Attribution page from the navigation bar.
Set Parameters for Analysis:
Select Granularity - Daily, Monthly or Yearly
Choose Metric
Determine Comparison Criteria: From the 'Comparison' dropdown menu, select how you want to compare the data. You can compare:
a) Another metric
b) Comparison time period (same metric, different time period)
c) Different attribution model (same metric, different attribution model)
d) Different attribution window (same metric, different attribution window)
It's important to note that the comparison metric is displayed on a separate y-axis to the right, which may use a different scale. For example, when comparing revenue to ROAS, revenue is measured in dollars, while ROAS is a ratio and typically a much smaller number.
The channel breakdown table is linked directly to the metric chart, allowing for further detailed analysis. The table displays a breakdown from channel level to ad level for the selected date range, attribution window, attribution model, and comparison time period, based on the filters applied from the chosen metric).
The filters in the table and chart are synchronized. For example, selecting a channel in the table (and navigating to the next tab / clicking Apply) will apply the same filter to the chart, and any filter applied to the chart will reflect in the table.