Next-Gen MMM: Jones Road Beauty's Data-Driven Optimisation Blueprint

Wednesday, 1 April 20268 min read1 views

Jones Road Beauty is pioneering an innovative Media Mix Modeling (MMM) approach, moving beyond traditional methods to continuously identify and optimise underperforming channels. This strategy prioritises actionable insights over static reporting, enabling dynamic reallocation of marketing spend.

What Happened

•Jones Road Beauty, a cosmetics brand, is implementing a novel Media Mix Modeling (MMM) methodology.
•Their approach focuses on actively identifying underperforming marketing channels to facilitate immediate optimisation.
•The brand's CEO views discovering ineffective channels as a positive outcome, enabling more efficient resource allocation.
•This new MMM type aims to provide continuous, actionable insights rather than historical performance reviews.
•The goal is to enhance return on investment by dynamically adjusting media spend based on real-time findings.
•The methodology represents a shift towards proactive, iterative media measurement and optimisation.

Why It Matters for NZ Marketers

•NZ marketers face increasing pressure to justify ad spend, making advanced measurement crucial for demonstrating ROI.
•Local brands can adapt this iterative MMM to navigate New Zealand's unique media landscape, which often has fewer data points than larger markets.
•It offers a pathway for NZ businesses to optimise budgets more effectively, especially vital for smaller marketing teams.
•The emphasis on continuous optimisation can help NZ brands respond faster to local market shifts and consumer behaviour changes.
•Moving beyond last-click attribution, this model provides a holistic view, beneficial for NZ's diverse media consumption patterns.
•It encourages a culture of experimentation and learning, which is essential for innovation in the competitive NZ market.

Strategic Implications

•Adopt a 'test and learn' mindset, viewing underperforming campaigns as opportunities for optimisation, not failures.
•Invest in robust data infrastructure and analytical capabilities to support continuous MMM and rapid decision-making.
•Prioritise measurement solutions that offer actionable insights over purely descriptive reporting.
•Integrate MMM findings directly into media planning and buying processes for agile budget reallocation.
•Challenge existing attribution models and explore more sophisticated, holistic measurement frameworks.
•Foster collaboration between marketing, data, and finance teams to align on measurement goals and outcomes.

Future Trend Signals

•The shift towards continuous, iterative media measurement will become standard practice.
•AI and machine learning will increasingly power advanced MMM for real-time insights and predictive analytics.
•Marketers will demand more transparency and actionability from their measurement partners.
•Organisations will build internal capabilities for sophisticated data analysis to reduce reliance on external vendors.

Sources

Jones Road Beauty Is Using A New Type Of MMM To Reset Its Media Measurement — AdExchanger

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