Control · C66

Calculate marketing decision thresholds

Question addressed

At which variance should the plan be monitored, corrected or revised?

Direct answer

A useful threshold combines economic materiality, normal variability, persistence and action lead time instead of using a uniform percentage.

Decision supported

01Define green, amber and red zones before observing results.

02The rule, the evidence and the next review date stay visible.

How to use this

Move from the question to the deliverable.

01Starting point

At which variance should the plan be monitored, corrected or revised?

02Decision prepared

Define green, amber and red zones before observing results.

03Deliverable to use

Material threshold calculation

Calculation · SQ-66

Calculate a threshold from noise, value and delay

A uniform threshold of ±10% ignores normal variability and economic value. The decision zone must be fixed before the results and must include persistence.

Working context

Illustrative case: a monthly objective of €420k of pipeline with historical variability of €24k and a contribution margin of 32%.

  1. 01Measure the noise

    Estimate normal variability at comparable scope and season.

  2. 02Set the materiality

    Translate the loss of result into an acceptable economic impact.

  3. 03Add persistence

    Distinguish a one-off variance from a drift across several periods.

  4. 04Prepare the action

    Attach to each zone a decision, an owner and a deadline.

Original element

Three steering zones around a €420k target

The amber threshold keeps the greater of two historical standard deviations and the minimum economic materiality.

Calculation methodAmber threshold = max(2 × historical standard deviation; tolerated economic loss ÷ contribution rate)
ZoneMonthly pipelineVariancePersistenceEstimated impactDecision
Green≥ €372k0 to −€48k1 month≤ €15.4kMonitor
Amber€336k to €371k−€49k to −€84k1 month or 2 low-green months€15.7k to €26.9kCorrect within 10 d
Red< €336k< −€84kImmediate> €26.9kReforecast
Persistent red< €372k< −€48k2 months> €30.7k cumulativeEscalate
Decision interpretation

01Two standard deviations represent €48k: a smaller fall stays compatible with historical noise.

02The tolerated loss of €15k equals €46.9k of pipeline; the statistical threshold, slightly higher, is retained.

03Two months below €372k trigger an escalation even without crossing €336k in a single month.

Fictitious example. The calculation assumes a sufficiently stable historical series and does not replace an analysis of scope breaks.

Coherence controls

Minimum conditions before validation.

01Baseline present

The status, the evidence and the owner must be available for review.

02Dated target

The status, the evidence and the owner must be available for review.

03Actionable KPI

The status, the evidence and the owner must be available for review.

04Named owner

The status, the evidence and the owner must be available for review.

Usable deliverable

Output produced

Material threshold calculation

Explore the decision further with an interactive control, or start from a structured template to produce your deliverable.