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Analytics & Data

Marketing Performance Analysis

Reading the data rather than collecting it: finding what actually changed, what caused it, and what to do differently next quarter.

Aperçu

Plenty of companies have adequate data and no analysis. Reports are produced, numbers are read out, and the meeting ends without anyone establishing why a number moved or what to do about it. Collection has been solved and interpretation has not.

Analysis is a different skill from implementation. It means segmenting until a change becomes explicable, distinguishing a trend from noise, checking whether an apparent effect survives a control, and being willing to conclude that a favoured initiative did nothing.

À qui cela s'adresse

  • Companies with good data and no idea what it is telling them
  • Teams whose monthly review reads numbers without explaining them
  • Businesses that need an independent read on whether something worked
Ce qui est inclus

Notre approche de Marketing Performance Analysis

Les travaux précis que couvre une mission type. Le périmètre est convenu d'avance : rien ici ne réapparaîtra plus tard comme une ligne surprise.

  • Diagnostic analysis

    Segmenting a change until it becomes explicable. Aggregate numbers almost always hide the actual movement.

  • Cohort analysis

    Following groups over time, which separates a genuine change in customer quality from a change in mix.

  • Statistical rigour

    Significance, sample size and confidence applied honestly, so a normal fluctuation is not presented as a result.

  • Campaign post-mortems

    Honest reviews of what worked, including campaigns that did not, which is where the transferable lessons are.

  • Competitor and market context

    Whether your change is specific to you or the whole category moved, which changes the conclusion entirely.

  • Recommendations

    Specific actions with expected effect and confidence, rather than observations left for someone else to interpret.

Déroulement

Du premier échange au résultat mesuré

Toujours la même séquence, pour que vous sachiez ce qui vient ensuite.

  1. Frame the question

    Agree what needs explaining. Open-ended analysis produces interesting findings nobody acts on.

  2. Check the data

    Verify the numbers before analysing them. A surprising share of dramatic findings are tracking faults.

  3. Analyse

    Segment, compare and test until there is an explanation that holds up rather than one that sounds plausible.

  4. Recommend

    Present findings with actions and confidence levels, including where the evidence is thin.

Pourquoi cela vaut la peine

Des résultats, pas des livrables

Un empilement de documents n'est pas un progrès. Voici les changements que le travail doit produire.

  • Explanations, not just numbers

    Knowing why something moved is what makes the next decision better.

  • An independent read

    An outside view is more likely to conclude that a favoured initiative did nothing.

  • Fewer decisions on noise

    Applied significance testing stops normal variance being treated as a trend.

  • Lessons that transfer

    Honest post-mortems, including on failures, are where the reusable knowledge actually is.

Questions

Questions fréquentes sur Marketing Performance Analysis

Ce qu'on nous demande avant de nous contacter. Si votre question n'y est pas, posez-la nous directement.

How is this different from your reporting work?

Reporting tells you what happened. Analysis works out why and what to do about it. Many companies have solved the first and assume the second follows automatically, which it does not.

Our numbers dropped and we do not know why. Can you find out?

Usually. The first step is verifying the drop is real, because a meaningful share of dramatic changes turn out to be tracking faults. After that it is segmentation until the change localises to something specific.

Will you tell us if our campaign did not work?

Yes, and that is much of the point of an independent analyst. Internal analysis has an understandable tendency to find reasons a well-funded initiative succeeded.

How much data do you need?

Enough for the change to be distinguishable from noise, which depends on your volumes. For low-traffic sites we would be honest that some questions cannot be answered from the data and need an experiment instead.

Vous réfléchissez à Marketing Performance Analysis ?

Dites-nous ce que vous cherchez à changer. Si nous ne sommes pas les bons interlocuteurs, nous vous le dirons et vous orienterons ailleurs.

Vous cherchez la vue d'ensemble ?

Marketing Performance Analysis accompagne généralement d'autres travaux en Data, Analytics & Measurement. Parcourez tout le domaine pour voir les liens.

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