Reporting configurations

Reporting pivots

Orb’s revenue recognition dataset is meant to be as granular as possible, allowing you to split data by the following axes:

Pivot dimension	Example use case
Billable Metric	Evaluating how revenue differs across different implementations of a single conceptual measurement to understand which one is most effective.
Block (prepaid credits)	Tracking the consumption and expiration of prepaid credit blocks to ensure accurate revenue recognition and forecasting.
Credit note	Understanding contra revenue lost to things like refunds, concessions, subscription changes, etc.
Customer	A finance team wants to analyze revenue performance per customer to identify high-value clients and potential churn risks. Operationalized by tracking the revenue generated by customer A over the last quarter.
Invoice	Auditing the revenue recognized from Invoice #12345 to verify it aligns with the usage and services provided.
Item	Assessing the revenue contribution of “file processing services” versus “platform access fees”.
Plan	Comparing the revenue from the Basic Monthly plan versus the Pro Annual plan to determine which plan drives more consistent revenue.
Price	Assessing the revenue contribution of “file processing services” versus “platform access fees”, or previous versions of the same price.
Subscription plan	Comparing the revenue attributed to a plan a customer is subscribed to, inclusive of any subscription modifications like add-ons and overrides.

Notably, Orb supports pivoting on multiple axes at once. For example, you might want to power the following use cases:

Customer + Plan: Identify which plans are most popular among various customer segments. For instance, analyze revenue from Customer A across both the Basic Monthly and Pro Annual plans to determine customer preferences.
Plan + Item: Determine the contribution of different items within each plan. For example, evaluate the revenue from file processing versus platform fees within the Basic Monthly plan to optimize plan offerings.
Item + Block: Monitor the usage of prepaid credits against specific items. Track how many prepaid credits were used for file processing services versus compute fees.
Invoice + Billable Metric + Block: Verify that invoicing, pricing, and credit block usage are aligned. Ensure that the pricing applied on Invoice #6789 accurately reflects the consumption of prepaid credits and any discounts given.

From the display options dropdown in the top right of the Recognized Revenue and Billings reports, configure:

View aggregation: rollup data monthly, or daily for shorter time horizons
Display properties: include additional metadata for richer reporting in one place
Insights: calculate % change from the prior period

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