As an example, bigger customers are harder to sell to, but usually place bigger orders, and churn less frequently. We need a way to understand which of these are most profitable, and this requires us to segment the customer base into different types, and compute the unit economics metrics for each segment separately. Common segments are things size of of customer, vertical industry, etc.
Despite the added work to produce the metrics, there is high value in understanding the different segments. This tells us which parts of the business are working well, and which are not. In addition to knowing where to focus and invest resources, we may recognize the need for different marketing messages, product features. As soon as you start doing this segmented analysis, the benefits will become immediately apparent.
For each segment, we recommend tracking the following metrics:
- ARPA (Average Revenue per Account per month)
- Net MRR Churn rate (including MRR expansion)
- LTV: CAC ratio
- Months to recover CAC
- Customer Engagement Score
More SaaS + Software Stats
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Because of the losses in the early days, which get bigger the more successful the company is at acquiring customers, it is much harder for management and investors to figure out whether a SaaS business is financially viable.
If your Net Revenue Churn is high (above 2% per month) it is an indicator that there is something wrong in your business; which may have a dramatically negative effect on your company’s growth. Source: Mckinsey