Marketing mix diagnostic: is your mix coherent?
Decision questionHow do you use “Marketing mix diagnostic” to prioritise corrections?
Assess the interactions that genuinely matter. The overall score does not hide the weak link: it turns it into a work priority.
Score coherence, evidence quality and economic impact. The index combines a geometric mean with the weakest link: several good scores do not offset a critical failure.
Priority = gap × impact × evidence uncertainty
Protocol of use
How to use the marketing mix diagnostic
The assumptions stay explicit and the final decision stays human.
- 01
Assess the interactions of the mix on a common scale.
- 02
For each interaction, qualify the level of evidence and the decision impact.
- 03
Examine the blockers, the missing data and the weak link.
- 04
Prioritise the investigations and set a review date for the decision.
In depth
Understand the mechanism before using the tool.
A mix diagnostic does not produce a decorative score: it locates the contradictions, quantifies their plausible impact and orders the investigations.The diagnostic confronts the promise, the unit economics, the channels, the communication, the execution capacity and the quality of the evidence. Every finding must separate observed fact, assumption and judgement.
The finest level at which action remains possible: segment, offer, channel, territory and period. An aggregate score must never offset a blocking risk.
Align the observation windows with the mechanism studied: immediate for an operational break, several cycles for retention, reputation or learning.
Compare the observed situation with an explicit target, with a comparable period and, where possible, with a unit unaffected by the change.
Separate missing data, measurement error, normal variability and causal uncertainty. These four problems do not call for the same investigation.
Prioritise a finding when its potential impact, its uncertainty and the value of a check exceed the cost and the delay of the inquiry.
Points of vigilance
The distinctions that prevent a misreading.
A falling conversion rate signals a problem; it does not identify its cause.
A price increase can reduce volume, improve the customer mix or change the perception of quality.
Priority combines potential impact, uncertainty, cost of verification and reversibility of the action.
Protocol
From framing to validation.
Align periods, segments, units and sources; isolate the definition breaks.
Connect each anomaly to the levers that could explain it, without confusing correlation with cause.
Score availability, reliability, granularity and causal capability of the data separately.
Rank the investigations by value of information and the actions by impact, risk and reversibility.
A rising unit margin can hide a destruction of value
Situation. After an 8% price increase, the unit margin rises from €42 to €49, but orders fall by 12%.
Calculation. Before: 10,000 × 42 = €420,000. After: 8,800 × 49 = €431,200. The gross gain is €11,200, before retention, acquisition and fixed costs.
Decision. The diagnostic does not yet conclude in favour of success: it opens the tests on customer composition, repeat purchase and acquisition cost.
Adversarial review
Five questions to settle before presenting a recommendation.
- Is the unit actionable?
Check that it matches the level at which a decision can be executed and tracked. A broader average can reverse the reading by hiding loss-making segments, channels or periods.
- Does the horizon cover the mechanism?
Recompute the conclusion over a short window and a long one. Immediate costs, retention, saturation and delayed effects do not materialise at the same time.
- Does the comparator really represent the absence of action?
Explain what would have happened without the decision. A historical trend or an attribution of contacts is not enough if selection, seasonality or simultaneous changes remain active.
- Which assumption tips the choice?
Identify the parameter that changes the ranking, publish its plausible range and show the prudent scenario. A recommendation without sensitivity hides its main risk.
- Who stops or revises the decision?
Name the owner, the observed signal, the threshold and the review date. Without a stopping rule, a favourable pilot easily becomes a permanent, unexamined commitment.
Acceptance conditions
What must be true before acting.
- Separate facts, interpretations and recommendations in the deliverable.
- Do not aggregate segments whose mechanisms or margins differ.
- Prioritise an anomaly only if its impact and its uncertainty are made explicit.
Limits
What the analysis does not prove.
- A composite score can artificially offset a critical link with several good marks.
- The available data favour the phenomena that are easy to measure, not necessarily the most important ones.
- A diagnostic establishes a decision programme; on its own it does not prove the causes.
References
Works used to frame the method.
- Rumelt, R. P. (2011), Good Strategy/Bad Strategy.
- Kohavi, R., Tang, D. & Xu, Y. (2020), Trustworthy Online Controlled Experiments.
To explore next
Continue along the same reasoning.
Non-compensatory audit method for the marketing mix, with levels of evidence, blocking thresholds, a worked case and a CSV grid.
Read →Related topicMarketing-mix coherence: matrix and risk scoreDiagnostic method for product, price, channel and communication interactions, with score, economic exposure and priority thresholds.
Read →Related topicMarketing maturity: diagnostic, thresholds and action planAssess maturity without a misleading average, through five capabilities, decision thresholds, a worked case and a downloadable grid.
Read →Related topicMarketing diagnostic data: preparation gridAssess coverage, quality, variation, freshness and comparability of the data before a marketing-mix diagnostic or a recommendation.
Read →Related topicMarketing data quality: controls and thresholdsControl completeness, validity, freshness, matching and reconciliation with non-compensatory thresholds before any analysis.
Read →Next themeProduct & offerConnect range, packaging, price, channels and cannibalisation.
Explore →