Perceived value and PERVAL: measuring without confusing value, price and willingness to pay.

SUPPORTED DECISIONUse the profile to identify the dimension to document or to strengthen, then test any price decision separately.

Evidence status

What was reproduced, and what it does not prove.

The educational specification and fixture are verified. The Python run reproduces the mean of 3.6 and rejects a count of scores other than four or a value off the scale. It reproduces no PERVAL psychometric scale.

  1. Technical specification of the teaching value profile, specification in French (opens in a new tab)

    v1, 31 August 2026 · CC BY 4.0 · specification in French · Method document written by marketing-mix.net. The figures are illustrative: they are not market measurements.

Key distinctions

Three conditions before calculating.

01

A multidimensional construct

A single average often hides different profiles. The dimensions must stay visible before any synthesis.

02

A scale adapted to the context

The original items are not universal. Their wording, their language and their population must be documented and pre-tested.

03

A clear boundary with price

Perceived value can inform a price hypothesis, but replaces neither a willingness-to-pay measurement nor a demand experiment.

Method

Building a usable measure in four steps

  1. 01Define the object and the audience

    Set offer, use, moment, population and comparison alternative; without that perimeter, two scores are not comparable.

  2. 02Choose and pre-test the items

    Keep the dimensions needed, source the wordings and check comprehension, variance and ceiling effects.

  3. 03Report the profile before the index

    Show each dimension, sample size, dispersion and missing data; the mean is only a descriptive summary.

  4. 04Connect to a testable decision

    State the action considered and the additional evidence required — comparison, concept test, price experiment or longitudinal follow-up.

ORIGINAL ASSET

Editable perceived-value profile

Enter four comparable scores from 1 to 5. The tool returns a descriptive mean and blocks the result if a dimension is missing.

Descriptive average3.60 / 5

The dimension profile remains the priority. This score is neither a price nor a willingness to pay.

CSVDownload the perceived-value grid↓
ILLUSTRATIVE EXAMPLE · SIMULATED DATA

An identical average score can hide two value propositions

01 · SITUATION

Illustrative example: quality 4.2; emotion 2.6; social 4.5; value for money 3.1, on a scale from 1 to 5.

02 · CALCULATION

Descriptive mean = (4.2 + 2.6 + 4.5 + 3.1) / 4 = 3.6. The profile mainly reveals an emotional weakness despite a high social signal.

03 · DECISION

The result opens an investigation into the experience and the context of use. On its own it does not justify a price increase or decrease.

Acceptance conditions

What must be true to act.

  1. 01

    Block the synthesis if a required dimension is absent or outside the declared scale.

  2. 02

    Compare only measurements taken with the same instrument, the same audience and the same context.

  3. 03

    Show the dimensions and the dispersion before any average or weighting.

  4. 04

    Test separately any conclusion about price, demand or causality.

Limits

What this analysis does not prove.

  • This page authorises neither the full reproduction of a protected scale nor its use without local validation.
  • Self-reported scores are sensitive to context, wording and response bias.
  • An average constitutes neither a monetary value nor a brand valuation.
  • PERVAL does not replace a willingness-to-pay measurement or a market test.

References

Works cited.

  1. Sweeney & Soutar (2001), Consumer perceived value: The development of a multiple item scale (opens in a new tab)
  2. Gallarza, Gil-Saura & Holbrook (2011), The value of value: Further excursions on the meaning and role of customer value (opens in a new tab)