Marketing-mix audit: investigating the gaps, not handing out marks.

SUPPORTED DECISIONDetermine which gaps require an immediate correction, an investigation or simple monitoring, without letting averages hide a blocking risk.

Key distinctions

Three conditions before calculating.

01

Traceable finding

An observation must refer to a source, a period, a definition and a calculation rule. "The price is too high" is not auditable; "the conversion rate falls by 18% above €79 across three comparable cohorts" is.

02

Graded evidence

Stated, observed, compared and causal are not interchangeable. The level of evidence limits the authorised decisions: a correlation can trigger a test, not always a rollout.

03

Non-compensable risk

Compliance, ability to deliver, unit contribution and minimum data quality must be treated as gates, not as points in an average.

Method

Conducting the audit from finding to decision

  1. 01List the active decisions

    Document the choices genuinely in force — assortment, net price, promotional rules, coverage, messages, budgets and measurement methods.

  2. 02Test the interfaces

    Audit first product-price, price-channel, channel-service, message-evidence and budget-capacity. The large losses often sit between two areas of responsibility.

  3. 03Qualify the evidence

    Assign to each finding a source, a freshness, a comparability, a level of identification and a range of uncertainty.

  4. 04Prioritise by regret

    Combine potential impact, probability, cost of verification and reversibility. The most urgent action is not always the one with the highest average gain.

ORIGINAL ASSET

The non-compensatory grid

Each dimension receives an evidence status and a threshold. A single critical blocker can stop the recommendation, even if the overall average looks favourable.

AVERAGE76 / 100

Secondary information

VERDICT1 blocker

Growth is not authorised

InterfaceEvidenceThresholdObservationDecision
Product-targetComparative usage≥ 7082pass
Product-priceChoice + margin≥ 6568pass
Price-channelNet contribution≥ €0−€3.20block
Channel-serviceAvailability≥ 95%96.4%pass
Message-evidenceComprehension≥ 7590pass
Measurement-decisionComparatorrequiredpartialinvestigate
CSVDownload the audit grid↓
ILLUSTRATIVE EXAMPLE · SIMULATED DATA

An average of 76 out of 100 that must lead to a stop

01 · SITUATION

An offer scores 90 on attractiveness, 82 on communication, 78 on distribution, 74 on data quality and 56 on contribution. The weighted average reaches 76.

02 · CALCULATION

The contribution threshold was set at 65 and declared non-compensable. The margin after discounts and cost to serve is −€3.20 on the channel that represents 38% of sales. The right priority is therefore not to improve the overall score but to correct or close that combination.

03 · DECISION

Red status on price-channel, freeze of acquisition on the loss-making perimeter and analysis of the discounts before any growth recommendation.

Acceptance conditions

What must be true to act.

  1. 01

    No critical blocker is diluted in an average.

  2. 02

    Every finding states source, period, unit and level of evidence.

  3. 03

    The proposed action states impact, cost of verification and reversibility.

  4. 04

    The owner of the correction and the counter-audit date are named.

Limits

What this analysis does not prove.

  • An audit locates and prioritises; it does not automatically prove the cause of a gap.
  • The thresholds must be adapted to the economics and to the risk of the organisation.
  • A grid that is too long creates an illusion of exhaustiveness and reduces the depth of the critical checks.

References

Works cited.

  1. Kaplan, R. S. & Norton, D. P. (1992), “The Balanced Scorecard”, Harvard Business Review.
  2. Keeney, R. L. & Raiffa, H. (1976), Decisions with Multiple Objectives.
  3. Shadish, W. R., Cook, T. D. & Campbell, D. T. (2002), Experimental and Quasi-Experimental Designs.