Marketing is one of the largest expenditures for many businesses – and basing budget decisions on wrong or biased data can easily cost you millions. Additionally measuring what works and what doesn’t is only becoming harder – GDPR, CCPA, ePrivacy, iOS 14+, adBlockers, missing consents – just to name a few factors.
According to CMO Survey 2023 “Demonstrating the impact of marketing on financial outcomes” is the top challenge for marketing leaders.
For strategic ROI measurement of all channels (online and offline) and for media spend & budget optimization.
For proving incrementality and calibrating other methods.
For detailed results of selected digital channels and daily /weekly optimizations.
Data collection and processing to make sure models and tests are fed high fidelity data. Data vizualization.
MMM is a way to measure the impact of marketing activities and other factors on revenue, number of acquired users or similar KPI using statistical modelling. Traditionally used by Fortune 500 companies to measure TV, it has undergone major upgrades recently – modern versions are always-on, heavily automated and use AI / machine learning. However, an experienced MMM analyst is still indespensable in most cases to complement the automation.
Attribution models are an important tool in digital marketer’s toolbox – they are a complement to MMM and experiments, not their replacement or alternative. They provide the necessary granularity and almost real-time results needed for tactical daily decisions. Modern approaches to attribution include using AI / neural networks, regression based attribution or game theoretic principles.
Experiments & Tests help measure the “ground truth” – true incrementality of media channels, specific campaigns or promotions or other changes and interventions – free delivery, change in pricing, changes in distribution etc.
They are used both for incrementality and optimization purposes and their results can be used to calibrate both MMM and attribution models.
They are an indespensable (if often underused) tool for marketing optimization – firms using experiments achieve more effective and efficient advertising programs (as shown in research by J.Runge and H.Nair)
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