Visualizing Benchmark Metrics

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Describes how to interpret benchmark metric results

Zuora In-product Benchmark metrics are represented as boxplots.

A boxplot is a visual representation of the distribution of a data set based on four data points including the minimum, first quartile, median, third quartile, and maximum.

Let’s consider the following example for interpretation:

Interpretation of boxplot.png

Here, the dotted line inside the box represents the median. Edges of the square show the 25th and 75th percentiles.

Standard Benchmark Metrics

By default, you will have access to all the standard metrics explained in the following table.

Metric	Description	How to interpret	Insights
Annual Pricing Updates	Measures the percentage of active rate plans created in the last year.	A higher percentage indicates a proactive approach to pricing strategy.	Update your rate plans periodically to stay competitive.
Proportional Usage Billing	Calculates the percentage of usage-based billing against the total invoice volume.	A higher ratio suggests more revenue from usage-based services.	Evaluate your pricing model to ensure it aligns with your business goals.
Subscriber Flexibility Index	Represents the average number of subscription changes per active subscription, excluding renewals and churns.	More flexibility generally correlates with higher growth.	Consider simplifying your subscription amendment process.
Automated Billing Efficiency	Indicates the ratio of invoices generated per billing run.	A higher ratio reflects more efficient billing operations.	Look into automating more aspects of your billing process if this metric is low.
Quick Payment Rate	Displays the percentage of invoices paid within 90 days.	A higher rate signifies efficient payment operations.	If your payment rate is low, review your invoicing and collection practices.
e-Payment Success Rate	Measures the percentage of successful electronic payments against all attempts.	A higher success rate is indicative of seamless payment processing.	Investigate and rectify frequent payment failures to improve this metric.
Speed to Close Books	Shows the average number of days to close accounting periods.	Fewer days suggest more efficient financial operations.	Look for bottlenecks in your closing process if this number is high.