Value per signup
Value per signup is total cohort revenue divided by the number of people who signed up, not the number who became paying customers. Non-converting signups stay in the denominator, so the figure reflects how much revenue the offering eventually produced per person it brought in. Teams track it over time and watch whether the trend moves up or down.
Definition
Total cohort revenue divided by signup count — the magnitude formulation of an offering's commercial outcome, anchored at signup rather than at first conversion.
Why the denominator is signups
LTV uses a customer-count denominator — it asks how much value a converted customer produces over the relationship. VPS uses a signup-count denominator — it asks how much value the offering produces per unit of acquisition entry. The two are structurally parallel but answer different questions.
Setting the cohort boundary at signups rather than converters preserves the entire signup cohort as the unit of analysis. Users who never convert still appear in the denominator at zero revenue contribution. That structure is what makes VPS a measure of how well the offering serves the population it actually acquires, not just the population that already converted.
VPS is the continuous formulation of the commercial outcome; first-paid-conversion is the binary one. Where the business captures revenue is the same in both. What differs is whether the measurement is binary (did capture happen?) or continuous (how much was captured?).
Two uses
VPS supports two distinct apparatus uses:
- Standing health metric (sometimes called the "signup stock price"). Track VPS over time the way teams track LTV. Movement reflects whether the offering is supporting more user-side value per signup-cohort member as the offering scales.
- Measurement reframe inside multiplier analysis. Substitute VPS for binary conversion as the commercial outcome event. The signup-cohort discipline and the four analytical reads stay the same; what changes is the outcome — from "what share of this cohort converted" to "what revenue did this cohort produce per signup."
The reframe earns its place when conversions differ substantially in value. A behavior with a 6x conversion-rate multiplier that routes users toward the cheapest tier can be net-negative against a behavior with a 2x multiplier that routes users toward a higher-value tier. Conversion-rate analysis can't see that divergence. VPS analysis can, because it integrates tier mix, retention dynamics, and expansion into a single composite measure.
Reading the trend over time
The optimization target is dual: VPS rising while signup volume grows.
Restricting acquisition to high-intent cohorts can lift VPS at a point in time, but that move isn't what the metric is selecting for. What it's selecting for is whether the offering can support increasing per-member value-production for an increasingly large signup cohort.
The growth-dilution effect tightens this. As an offering scales, acquisition typically expands into lower-intent cohorts, which drags VPS down. Holding VPS flat against that drag is itself a positive signal — the offering is becoming better at serving a more diluted entry pool. Improving VPS while growing acquisition volume is unambiguously strong. Declining VPS during growth that can't be explained by acquisition mix is a yellow flag worth investigating.
Self-serve scope
VPS applies to self-serve contexts only.
In self-serve contexts, signup is the user-driven entry into value-pursuit. The user signed up because they want to do something with the offering; subsequent behavior reveals whether the offering serves that pursuit. Signups (denominator) and revenue (numerator) are connected through user activity, which is what makes VPS measure something real.
In sales-driven contexts, signup is decoupled from user intent. A user pre-qualified through partner cross-promotion and a user whose account was created post-contract by a sales rep are both "signups" with no relationship to user-driven conversion progression. The signup-revenue connection isn't there, so VPS would measure noise. The constraint is structural, not preferential — sales-driven contexts have their own apparatus for tracking value generation per pipeline-position; signup-as-denominator isn't one of them.
Example
A subscription product with three tiers ($10, $30, $100 per month) runs multiplier analysis on a recent signup cohort. Two candidate behaviors stand out:
- Used the import tool in week one: 5x conversion-rate multiplier.
- Connected a CRM integration in week one: 2.5x conversion-rate multiplier.
Re-running the analysis with VPS substituted for binary conversion:
- Used the import tool: 1.8x VPS multiplier.
- Connected a CRM integration: 4.2x VPS multiplier.
The composition behind those numbers: import-tool users tend to convert to the $10 tier and churn within four months; CRM-integration users tend to convert to the $30 or $100 tier and expand over the first year. Conversion-rate analysis would point the team at the import tool. VPS analysis points them at the CRM integration. Both readings are correct — they're answering different questions, and a team optimizing for sustainable revenue needs the second one.