A differentiation is worth what it changes, not what it adds.

SUPPORTED DECISIONFund a differentiation when its risk-adjusted incremental contribution exceeds its full cost and when credible evidence makes it appropriable.

Key distinctions

Three conditions before calculating.

01

Perceived difference

A technically unique characteristic can remain invisible. Measure spontaneous and prompted recognition, understanding of the benefit and association with the brand. The evidence must be accessible at the moment of choice, not only in specialist documentation.

02

Quantified benefit

Turn performance, time, risk or comfort into units that matter to the customer. The gain must be compared with the alternative and corrected for frequency of use. A reduction of two minutes does not have the same value on an annual or a daily task.

03

Appropriability

The advantage must last long enough to repay the investment. Patent, data, experience, network, operating capacity or reputation can protect the value. A difference copied in three months requires a very fast return.

Method

Computing the net value of a difference

  1. 01Name the alternative

    Define the product, process or non-consumption being replaced; measure its total price, its costs of use, its risks and its frictions. Without an explicit alternative, the gain is unverifiable.

  2. 02Build the customer bridge

    Connect attribute to evidence, then to benefit and economic unit; estimate the share of the target that meets the problem, understands the evidence and values the gain.

  3. 03Estimate the response

    Test change of choice, willingness to pay, retention or usage through an adapted protocol; use an interval and separate stated, simulated and real behaviour.

  4. 04Close the supplier account

    Compute incremental revenue or retention, margin, cost of production, service, evidence, complexity and cannibalisation; compare the full option with evidence alone or with a lighter version.

ORIGINAL ASSET

The value bridge of a differentiation

The attribute crosses five gates: perception, credibility, usage, willingness to pay and contribution.

01Attribute
Connector
02Perceived
72%
03Credible
61%
04Used
48%
05Paid for / retained
24%
CONNECTOR ADJUSTED VALUE+€46k in year 1Full feature: −€693k
CSVDownload the differentiation value bridge↓
ILLUSTRATIVE EXAMPLE · SIMULATED DATA

A €900k feature creates only €186k of net value

01 · SITUATION

A software publisher considers a feature reducing by 6 hours a month a task performed by 35% of its 4,000 clients. The hourly value is €45. The feature costs €900k to develop and €120k a year to maintain. A test estimates that 28% of the clients concerned would pay €18 more a month.

02 · CALCULATION

Paying clients: 4,000 × 35% × 28% = 392. Annual revenue: 392 × 18 × 12 = €84.7k, far below the cost. But the expected churn reduction of 3 points on the 1,400 clients concerned protects 42 clients at €6,200 of annual margin, that is €260.4k. Total annual value €345.1k; after maintenance, €225.1k. With 60% confidence, adjusted value €135.1k.

03 · DECISION

The full development is not launched. A connector at €140k capturing 70% of the benefit is piloted; its adjusted net value reaches €186k in the first year.

Acceptance conditions

What must be true to act.

  1. 01

    The alternative and the population genuinely concerned are quantified.

  2. 02

    The evidence connects the attribute to an observable benefit.

  3. 03

    Price, conversion, retention and full costs enter the same account.

  4. 04

    A lighter option is compared before the irreversible investment.

Limits

What this analysis does not prove.

  • Stated willingness to pay often overestimates real behaviour.
  • Symbolic benefits are hard to convert into monetary units.
  • Competitive reactions can strongly shorten the period of appropriation.

References

Works cited.

  1. Levitt, T. (1980), “Marketing Success Through Differentiation—of Anything”, Harvard Business Review.
  2. Anderson, J. C., Narus, J. A. & van Rossum, W. (2006), “Customer Value Propositions in Business Markets”, Harvard Business Review.
  3. Boulding, W. & Kirmani, A. (1993), “A Consumer-Side Experimental Examination of Signaling Theory”, Journal of Consumer Research.