Intro
Charts offer two essential functions for drawing insights:
Visualization of product inventory performance
Deep dives into interesting discoveries
All charts in Product Insights are interactive, with dynamic responses to clicking and filtering different data points. They present multiple ways to approach interactive data discovery:
Filtering by categories, product types, or brands: Product Attribute Breakdown
Filtering by time period (any given day, week, month, etc): Trend in Time and Product Attribute Trend
Filtering by selecting intervals of data buckets: Performance Breakdown
Note: Products change all the time. Attributes like product price change often while other attributes like product category change rarely.
The charts always consider the latest value and only show products currently falling under the applied filter conditions.
Charts are available for use at the top of the Product Insights menu. To use a chart, select the appropriate tab and calibrate the metrics to your objective. Click the ⚙️ "cog" settings button to change chart options.
Usage
Trend in Time
This chart describes how two metrics develop over time, which helps you learn about their possible correlation(s). However, the real power lies in examining these metrics over time in conjunction with the filters.
Trend in Time applications:
Discover whether increasing spend translates to increasing Product ROAS
Detect any possible urgency to implement a stop loss strategy
Filter poorly performing products, and display their spend and count over time
Zoom out to a longer period of time where it's possible to show the proportion of cost that could have been saved, and to project the cost of not excluding such products from the campaigns in the future
Product Attribute Breakdown
This chart shows your performance through the lens of product attributes such as categories and their subcategories. More importantly, it also capitalizes on the comparison of two available metrics. To switch these metrics, click the "Change sort order" button in the top right. The spend <1 filter may be necessary to get rid of categories without traffic. The chart settings also allow for the number of columns and labels for each data point to be changed.
Product Attribute Breakdown applications:
Identify the highest-spending (sub)categories
Find new opportunities by changing the metric sorting to discover promising categories with low spend but high Product ROAS
Further investigate interesting categories by clicking on them in the graph or filtering them in the Product Insights panel to see insights in the table or their overall performance on other charts
Product Attribute Trend
This chart describes your performance according to how different product attributes develop over time. The chart settings also allow you to increase instances of the selected attribute.
Product Attribute Trend applications:
Immediately see which categories are growing in a selected metric after an important change, such as setting a higher budget
Quickly discover the rising stars or cash burners among categories or brands depending on important KPIs
Follow up on discoveries by diving inside and identifying the products driving the trend, and whether it's changes in traffic, profitability, costs, etc