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TTM Number of List Price Increases per Product |
 | Bar chart displays KPI Data with 3 separate bars in the X-axis (for bottom quartile, median and upper quartile) and the number of list price increases in the Y-axis. Blue reference line displays customer data.
The value on the main chart corresponds to the value of the latest available month of data available in the drill down. Drill down option is available by clicking the blue line – then you get detailed customer data by month. If the output value is negative, it will be shown as zero value.
| This chart displays the number of times a list price gets increased on average per product. It enables companies to understand to what extent benchmarked companies are managing their price increases. List price increases are captured from local list price populated at the transaction level for a particular product-customer couple. Chart interpretation: In average, a product list price gets increased twice in the period that is trailing twelve months.
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TTM Number of List Price Changes per Product |
 | Bar chart displays KPI Data with 3 separate bars in the X-axis (for bottom quartile, median and upper quartile) and the number of list price changes in the Y-axis. Blue reference line displays customer data.
The value on the main chart corresponds to the value of the latest available month of data available in the drill down. Drill down option is available by clicking the blue line – then you get detailed customer data by month. If the output value is negative, it will be shown as zero value.
| This chart displays the number of times a list price gets reviewed on average per product. It enables companies to understand to which extent prices are volatile within the industry / to which extent pairs are managing their prices. List price changes are captured from local list price populated at the transactions level for a particular product-customer pair. Chart interpretation: In average, a product list price gets reviewed twice in the period that is trailing twelve months.
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TTM per Unit Realized Price Percent Increase |
 | Bar chart displays KPI Data with 3 separate bars in the X-axis (for bottom quartile, median and upper quartile) and the percentage of per unit realized price increase in the Y-axis. Blue reference line displays customer data.
The value on the main chart corresponds to the value of the latest available month of data available in the drill down. Drill down option is available by clicking the blue line – then you get detailed customer data by month. If the output value is negative, it will be shown as zero value.
| This chart displays the actual average percentage increase of the realized price in the period shown. It enables companies to analyze whether the realized price has increased in the last trailing twelve months.
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Number of Products TTM |
 | Bar chart displays KPI Data with 3 separate bars in the X-axis (for bottom quartile, median and upper quartile) and the number of products in trailing twelve months (TTM) in the Y-axis. Blue reference line displays customer data.
The value reflects the latest available month value in the drill down. Drill down option is available by clicking the blue line – then you get detailed customer data by month.
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Price Increase Realization Waterfall |
 | Comparison Waterfall chart displays 2 data set side by side: KPI data and company data.
There is a condition to be able to show a comparison waterfall: an increase in company data needs to be captured. Otherwise, we will only show KPI data and thus only have a simple waterfall. Data is expressed in percentage. On-invoice discounts, off-invoice discounts and transactions costs are labels for gaps in between. Drill down option is disabled for this chart.
| This chart displays the price increase leakage. List price increase is considered the index base 100.
The realized price increase is the percentage of the price increase that has been effectively passed to customers. The price increase realization waterfall enables benchmarking price increase effectiveness with other companies in order to identify best practices in terms of pricing structure and identify profit leakage so as to derive levers of improvements. Chart interpretation:
Example: Based on transactions data, the list price has been increased by 1$. The objective of this increase was to pass this 1$ price increase to customers.
We will consider this increase of 1$ as our index base 100%.
Ultimately, having a realized price increase of 65% means that we were successful in passing only 0.65$ of the 1$ list price increase to our customers.
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