What the Price Changes Report shows
While the Pricing Activity page shows every individual price change as a log, the Price Changes Report aggregates that data into trends and patterns. It helps you answer questions like "How many price changes happened this week?" and "Are prices generally going up or down?"
Open it from the Reports dashboard by clicking the Price Changes card.
Overview
Repricing activity for the selected period.
The summary cards at the top show:
- Total Changes. The total number of price adjustments made by the repricer during the selected period.
- Price Increases. The number of price changes where the new target price was higher than the previous price.
- Price Decreases. The number of price changes where the new target price was lower than the previous price.
- Avg / Day. The average number of price changes per day over the selected period. Calculated as Total Changes divided by the number of days.
Daily Activity
Price changes per day.
A stacked bar chart showing the daily volume of price changes, split into increases (green) and decreases (red). Each bar represents one day, and the height of each colored segment shows how many prices went up or down on that day.
Spikes in activity often correlate with competitor actions, new sellers entering your listings, or changes you made to your strategies.
Changes by Region
How repricing activity is distributed across marketplaces.
A horizontal bar chart showing the total number of price changes per connected channel region (for example, Amazon.com, Amazon.ca, or Walmart.com). This helps you see which marketplaces have the most repricing activity and whether pricing competition varies across regions.
Change Reasons
What triggered each price adjustment.
A horizontal bar chart showing the breakdown of all price changes by their reason code, with a count for each reason. The possible reasons are:
- Undercut competition. The repricer set the price below a competitor to win the sale.
- Matched competition. The repricer matched a competitor's price.
- Priced above market. The repricer kept the price above the competition, following the strategy configuration.
- Margin recovery. The repricer raised the price to recover profit margin.
- Hit price floor. The calculated price was below the minimum price, so it was clamped to the floor.
- Hit price ceiling. The calculated price was above the maximum price, so it was clamped to the ceiling.
- Protecting profit. The price was adjusted to maintain the minimum profit threshold defined in the strategy.
- Can't compete on price. The repricer determined it cannot reach a competitive price within the configured price boundaries.
- Manual price. A user manually set the price for this listing.
- No competitors. No competing offers were found, so the repricer adjusted pricing accordingly.
- Initial price. The first price calculated by the repricer for this listing.
- Seeking Buy Box. The repricer is actively lowering the price to try to win the Buy Box.
- Optimizing Buy Box. The repricer already has the Buy Box and is raising the price to maximize profit while keeping it.
Only reasons that appear in your data for the selected period are shown. The chart is sorted by count, so the most common reasons appear first.
Daily Breakdown
Price changes and affected listings by day.
A table listing each day in the selected period with a row-by-row breakdown of activity. The columns are:
- Date. The calendar date.
- Changes. The total number of price changes on that day.
- Increases. The number of price changes where the new price was higher than the previous price.
- Decreases. The number of price changes where the new price was lower than the previous price.
The table is sorted by most recent date first. Days with zero activity still appear in the list.