Value Metric Filters
The value metric filters are Potio’s three tests for choosing what to bill on: operational fit, customer perception and economic logic. A value metric has to clear all three, and the overlap of the three circles is the sweet spot. Potio developed the framework and runs clients through it before any pricing page gets touched.
Each filter holds three questions:
| Filter | Question | Test |
|---|---|---|
| Operational fit | Measurable | Can your product produce the number without judgment calls? |
| Attributable | Can you say your product moved it? | |
| Feasible | Can you bill and reconcile it without building a billing company? | |
| Customer perception | Understandable | Will everyone define it the same way? |
| Fair | Will customers see it as a reasonable basis for payment? | |
| Wanted | Does willingness to pay rise as they get more of it? | |
| Economic logic | Scalable | Does it grow as the customer grows? |
| Consistent | Is one unit worth roughly what the next is worth? | |
| Cost aligned | Does it move with your cost to serve? |
Mailchimp’s 2019 switch shows a metric failing on fairness rather than price. Billing moved from active subscribed addresses to total audience contacts, so customers paid for people who had unsubscribed. Mailchimp earned more per remaining account and lost a cohort to competitors.
Potio’s take: A no on operational fit kills a metric outright, because you cannot invoice what you cannot measure. A no on customer perception is usually survivable with packaging, which is what credits, bands and commitments are for. A no on economic logic means the metric works but you will be renegotiating for growth forever.
How this plays out
Operational fit kills more candidates than the other two filters combined, and for boring reasons. “Monthly active user” looks obvious until you write it down. Does a service account count? A user whose only activity was a directory sync? Slack built its Fair Billing Policy around a defensible definition of active, and credits back seats that went unused. Instrument a metric and watch it against real accounts for a full quarter before billing a cent on it.
Customer perception decides where the price sits on the customer value chain. Priced early, at the investment end, you are a cost the customer works to control. Priced late, near the outcome, you are a partner. Calendly charges per seat and gets away with it because the person holding the seat is the person whose time gets saved.
Economic logic is where the money is. Unity’s 2023 runtime fee, a per-install charge applied retroactively, triggered a boycott and was cancelled within a year. Its replacement, a price increase on seats, went through. Price levels are negotiable. Metrics are structural, and buyers treat them that way.
Very few metrics pass all nine questions. The point is knowing which one you failed and what you are doing about it.
What makes a good value metric?
It can be measured and attributed, customers see it as a fair way to pay, it grows with the customer’s success, and each unit is worth about the same as the next.
Which value metric filter matters most?
Operational fit, because it is the only one with no workaround. Customer perception and economic logic failures can be softened with packaging or lived with. A metric you cannot measure cannot be billed at all.
What if my value metric fails one filter?
Name the failure and decide how to handle it. Most shipping companies run a second metric or a packaging fix, such as a platform fee or credits, to cover the gap rather than hunting for a perfect single metric.
More on this: SaaS Value Metric: How to Find the Right One
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I'm a 3x founder and former CEO of Toggl. I work hands-on with SaaS & AI teams to fix pricing, packaging and monetization.
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