CARR, ARR, and the Impact of Usage-Based Pricing

25 Sept 2024 · 25 min
The Metrics Brothers

25 Sept 2024 · 25 min

0:00

In this episode of the Metrics Brothers podcast, hosts Dave Kellogg and Ray Grothreich Wright dissect the definitions, calculations, and strategic implications of recurring revenue metrics—ARR, CARR, MRR, and related concepts—especially as they intersect with usage‑based (variable) pricing models. They begin by contrasting industry‑standard definitions from the SaaS Metrics Standards Board (CARR as contracted ARR, ARR as annualized subscription revenue) and discuss practical challenges such as booking gaps, the need for a 90‑day start‑date rule, and whether professional‑services or support contracts belong in ARR. Ray argues for separating contractual (committed) revenue from variable usage revenue for internal forecasting, while Dave emphasizes the external reporting reality where most public companies bundle everything into a single “product revenue” line and rely on proxy or implied ARR calculations (annualizing a month or quarter of spend). The conversation weaves in real‑world examples—Snowflake, Datadog, MongoDB—illustrating how companies compute ARR (12× MRR, 4× last‑quarter spend, trailing‑12‑month usage) and the pitfalls of seasonality and churn when variable usage is treated as recurring. They also explore the historical evolution from perpetual licenses to subscription models, the impact of usage‑based pricing on growth rates during market corrections, and the tension between internal analytics (splitting base vs. variable, forecasting usage) and external investor communication (avoiding “dirty laundry”). The episode concludes that while a clean, contract‑only ARR metric would be ideal for modeling, the market will continue to rely on proxy ARR methods, with analysts using implied ARR and companies balancing transparency with simplicity.

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