What is SaaS Revenue Segmentation?

SaaS revenue segmentation is the process of categorizing a company’s total earnings into distinct groups based on shared characteristics. This approach enables software leaders to examine details beyond summary data in order to determine which areas of the business support growth and which areas may need adjustment.

Examining the contribution of different customer groups to overall revenue is necessary for achieving “efficient growth”. 

By analyzing revenue in this way, organizations can assign resources to selected segments, allowing marketing budgets and product development activities to relate to particular customer categories.

In the SaaS industry, revenue is rarely monolithic; it can be divided into several dimensions to show performance by group. Companies commonly segment income by the following categories:

• Customer Size: Grouping revenue by SMB (Small/Medium Business), Mid-Market, and Enterprise tiers to compare sales cycles and support requirements.
• Product or Tier: Dividing income based on specific software modules or subscription levels (e.g., Basic vs. Pro vs. Enterprise).
• Geography: Tracking performance by region or country to identify localized market demand and cultural product-market fit.
• Channel: Distinguishing between direct sales, self-service signups, and partner or affiliate-driven revenue.
• Cohort: Grouping customers by their sign-up date to track how “vintage” users behave compared to new acquisitions.

Performing a deep dive into your revenue streams requires a sequence of steps to ensure data integrity and actionable results.

1. Define Your Objectives: Determine whether you are looking for churn patterns, expansion opportunities, or geographic trends.
2. Clean Your Data: Create standardization with your CRM and billing systems (like Stripe or Chargebee) to ensure data consistency for customers.
3. Group the Data: Aggregate revenue based on your chosen dimensions, such as industry or acquisition channel.
4. Calculate Key Ratios: Measure specific performance indicators for each group, such as CAC (Customer Acquisition Cost) and LTV (Lifetime Value).
5. Identify Anomalies: Explore why a group may experience an anomalously high level of churn or if significant growth is recorded.

Revenue segmentation provides an important input for value-based pricing. When a specific segment, for example, healthcare providers, derives similar value but pays the same as a small retail shop, it points to a pricing difference that may be worth reviewing.

Pros and Cons of Segmentation-Based Pricing

• Pro： Refers to using different plan levels for customer groups with different usage patterns, maximizing Revenue Per User (ARPU).
• Pro： Affects conversion rates by offering “entry-level” options for price-sensitive groups.
• Con: Can lead to billing structures that confuse the customer.
• Con: Involves data management work to maintain and update the model regularly.

To manage segments effectively, tracking goes beyond total MRR（月間経常収益）. Each group requires an examination of its performance and development over time.

• ネット収益保持率（NRR）: This measures how much revenue a segment generates over time, including アップセル と 解約.
• LTV/CAC比率: A segment might bring in high revenue, but if the acquisition cost is too high, it may be unprofitable.
• アカウントあたりの平均収益 (ARPA): Presents the amount of revenue attributed to each account in the segment over time.

Unlike traditional retail, SaaS relies on 経常収益. Therefore, segmentation must focus on the lifecycle of the revenue rather than just the initial transaction.

“In SaaS, the sale is just the beginning. Segmentation tells you not just who bought, but who stayed and grew.”