# Tiered LTV:CAC Targets (3/6/9/12)

> The blanket 3:1 rule for LTV:CAC only holds when no human sits in the value chain. Each person in the loop raises the required ratio: 3 with none, 6 with one, 9 with two, 12 with three.

- Canonical URL: https://www.convios.com/en/methods/tiered-ltv-cac
- Language version: https://www.convios.com/de/methodik/gestaffelte-ltv-cac
- Status: Convios method toolkit
- Method library: https://www.convios.com/en/methods — Markdown: https://www.convios.com/en/methods.md

## Problem

You steer toward the much-quoted 3:1 rule and wonder why the math still does not work. The rule comes from a pure self-service model with no humans in the process. As soon as sales or delivery run manually, the model needs buffers for salaries, ramp-up and the inevitable performance spread of new hires.

## Approach

1. Count honestly how many manual roles sit in your value chain: attraction, selling, delivery.
2. Assign the target: 0 humans 3:1, 1 human 6:1, 2 humans 9:1, 3 humans 12:1.
3. Calculate LTV as lifetime gross profit, not revenue.
4. Compare your actual ratio against the tiered target instead of the blanket 3.
5. Work on the endpoints: take humans out of the loop, raise LTV, or lower CAC via brand and referrals.

## Example

A typical case: a sales-driven software business with white-glove onboarding considers its ratio of just over 3:1 healthy because "the rule" says so. In reality two manual roles sit in the process: a sales team and a delivery team. By the tiers, 9:1 would be the appropriate target; the business is calculated far too tightly and has no buffer for growth and hiring. The consequence is a mix of price increases, more automated onboarding and a productized entry offer.

## Limits

The tiers are a heuristic from the SMB and service world, not an industry-normalized benchmark; in B2B SaaS, reconcile them with the segmented Skok and Bessemer thresholds. The steps are coarse and do not replace a proper fully loaded cost calculation. For hybrid motions (partly self-serve, partly high-touch), calculate per segment.

## Metric

LTV:CAC on a lifetime gross profit basis, compared against the target of the applicable tier.

## Sources

- Marc Nerlove, Kenneth J. Arrow: Optimal Advertising Policy under Dynamic Conditions, Economica 29(114), 1962, S. 129 ff., 1962 · academic and scholarly literature · supports the underlying mechanism. Treats advertising and acquisition spending as investment in a depreciating goodwill stock and shows that the optimal investment intensity is not a universal constant but follows from the stock's decay rate, the discount rate and demand elasticities - it makes no claim about customer lifetime value or company maturity stages. (https://doi.org/10.2307/2551549)
- Every Unspoken Rule of Business Explained, Alex Hormozi (Langform-Video) — YouTube, n.d. · practitioner source · describes the method. Carries the tiered requirement itself, under which the necessary ratio of customer value to acquisition cost rises with every additional person involved in delivery. (https://www.youtube.com/watch?v=A_tx40lNpf8)
- Robert C. Blattberg, John Deighton: Manage Marketing by the Customer Equity Test, Harvard Business Review 74(4), Juli-August 1996, S. 136-144, 1996 · academic and scholarly literature · supports the underlying mechanism. Applies the investment logic at customer level: how much to spend on acquisition and retention is a marginal decision - invest up to the point where the marginal contribution to customer equity covers the marginal cost. This is the academic counterpart of the claim that a very high LTV:CAC signals underinvestment. No staging by maturity. (https://hbr.org/1996/07/manage-marketing-by-the-customer-equity-test)
- Robert Dorfman, Peter O. Steiner: Optimal Advertising and Optimal Quality, American Economic Review 44, 1954, S. 826 ff., 1954 · academic and scholarly literature · supports the underlying mechanism. Static predecessor: a firm's optimal marketing spending intensity equals the ratio of advertising to price elasticity of demand - a firm-specific quantity, not an industry-wide number. Older than the primary source, but without time dimension, stock decay or discounting, and therefore further from the method. (https://www.jstor.org/stable/1815199)
- Primary source: Marc Nerlove, Kenneth J. Arrow: Optimal Advertising Policy under Dynamic Conditions, Economica 29(114), 1962, S. 129 ff. (https://doi.org/10.2307/2551549)
- Adapted from: Alex Hormozi ($100M Offers/$100M Leads, YouTube-Langform)

## Related

- Method: [LTV:CAC and CAC Payback](https://www.convios.com/en/methods/ltv-cac-payback)
- Method: [CAC Payback by Segment and Cash Conversion Score](https://www.convios.com/en/methods/cac-payback-by-segment)
- Method: [Embodiment and Service Margin Discount](https://www.convios.com/en/methods/embodiment-margin-discount)
- Tool: [Fin](https://www.convios.com/en/toolbox/fin)