The complexity of marketing assessment
Management Summary
The complexity of marketing assessment: how attribution, MMM and experiments unfold their strengths
Management Summary
Marketing Mix Modeling (MMM) is making a comeback – not only because of technical advances, but above all because in the age of data protection, proof of advertising effectiveness must be provided differently. The key to success lies not only in the modeling, but in the intelligent combination of media expertise with technology know-how.
What does marketing really bring? And when is advertising just expensive noise?
Marketing Mix Models provide answers – if you set them up correctly. We explain what is important.
Marketing Mix Models – the whole truth
Marketing Mix Modeling (MMM) is rightly experiencing a revival. Data protection, cookie restrictions and the increasing pressure for efficiency in marketing departments are forcing companies to re-analyze cause-and-effect relationships. MMMs measure the impact of advertising investments on sales, conversions and other KPIs – across channels, in compliance with data protection regulations and model-based.
But as so often, the truth lies in the detail:
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01
No understanding without a baseline
Comprehensive StMMMs help to determine marketing effectiveness. The baseline is taken into account – the sales that would be achieved even without marketing measures. Because factors such as brand awareness, word of mouth and seasonality influence this baseline – i.e. the natural flow of sales of a company. MMMs make it possible to statistically calculate the incremental effect of marketing measures on sales. develop strategies and benefit from long-term success!
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02
Effectiveness ≠ Efficiency
More budget in one channel = more success? Unfortunately, no. MMMs show when a channel reaches its saturation point, whether media mix inconsistencies prevent synergies or whether users slip into reactance due to too high a frequency. The key is to recognize where more investment actually brings added value – and where it does not.
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03
No off-the-shelf solution
Contrary to what many people think, an MMM is not a plug-and-play tool. It needs:
- at least one year of structured online and offline data or alternatively (should the database be smaller) empirical values on channel effectiveness, e.g. from other attribution methods or experiments
- Data Ownership & Governance (You can find more information on Data Ownership in this blog article.)
- strategic advice on model interpretation
The interpretation of the results and the derivation of recommendations for action are crucial. Tools such as Google’s Meridian, Meta’s Robyn or our own solution BREE (Budget Recommendation Engine) help – provided the right approach and understanding.
Conclusion: Numbers are just the beginning
Marketing Mix Modeling can be a real game changer for your media budget planning – provided you take a holistic approach. It takes more than just smart models: What is decisive is an interdisciplinary understanding of the objectives as well as the right combination of in-depth media know-how and sound data science expertise. In order to exploit the full potential, it is therefore essential to rely on strong partners who can provide strategic and technical support and think along with you.
