Derik Nieman – Director of Data & Analytics

Derik Nieman is the Director of Data & Analytics at Algorithm Agency, where he leads initiatives in data science, business analysis, and the development of proprietary tools and dashboards to enhance marketing decision-making. With extensive experience in digital marketing and analytics, Derik has been instrumental in integrating platforms like Salesforce into clients’ digital reporting cycles, effectively closing the loop between marketing efforts and sales outcomes. His expertise encompasses server-side tracking implementations, data automation, and visualization, enabling clients to optimize their online strategies through data-driven insights. Keep an eye out for more insightful articles from Derik.

The Algorithm Approach: AI-Powered Marketing Mix Modelling for Maximum Impact

Modern marketing is more complex than ever—budgets are spread across digital and offline channels, customer journeys are non-linear, and consumer expectations are higher. Yet, many marketing executives still rely on outdated measurement methods that fail to capture the full picture. With the shift away from third-party cookies and increasing restrictions on tracking, brands need a future-proof, AI-driven approach to optimise marketing performance.

At Algorithm, we go beyond traditional Marketing Mix Modelling (MMM) by integrating AI-powered predictive analytics, real-time Market Share Analysis, and intent-driven data science to provide clear, actionable insights that maximise ROI and business growth.

Why Traditional Attribution Fails & How Algorithm Fills the Gap

Many marketing leaders still rely on last-click attribution, which ignores the full customer journey and fails to account for external factors like seasonality, macroeconomic shifts, and competitor activity. First-party data and conversion APIs help regain some visibility, but they remain siloed within platforms, missing the broader picture of how different channels interact to influence conversions.

That’s why Algorithm takes MMM to the next level, by combining historical data with machine learning and first-party insights, we help brands:

• Measure true cross-channel impact, including digital, offline, and organic channels.
• Optimise budget allocation dynamically based on predictive performance modeling.
• Adjust strategies in real-time as market conditions shift.
• Prepare for a cookie-less future with privacy-first, AI-driven analytics.

Breaking Down Algorithm’s AI-Driven MMM Framework

Unlike generic MMM models, Algorithm’s AI-powered framework is customised to each client’s specific needs, ensuring precision and adaptability. Our framework includes:

• Market Share Analysis (MSA) Tool : A proprietary data-driven model that maps out real-time audience intent, competitive positioning, and search demand fluctuations.
• Predictive Budget Allocation : Using AI to analyse historical trends and optimise media spend for maximum return.
• Advanced Attribution Insights : Moving beyond first-party data to uncover hidden marketing influences, from brand awareness to post-click engagement.
• Cross-Channel Performance Mapping : Evaluating how digital, offline, paid, and organic efforts interact to drive holistic growth. This is particularly valuable for brands that invest in a mix of digital advertising, TV, radio and print, as it provides a unified picture of overall marketing effectiveness.
• Scenario Planning & Forecasting : Providing “what-if” modeling so brands can test different investment strategies before making real-world decisions.
•  Incorporation of External Factors : Accounting for seasonality, macroeconomic trends, and competitor activity to improve forecasting accuracy.
•  Privacy-First Approach: A future-proof solution that relies on aggregated data rather than individual tracking, making it compliant with evolving privacy regulations.

Making MMM Work: Essential Considerations for Success

While a MMM model can provide invaluable insights into marketing performance, its effectiveness depends on how well it is designed and maintained. A poorly structured model can lead to misleading conclusions, resulting in suboptimal budget allocations and missed growth opportunities.

Here are a few key considerations to keep in mind:

• Continuous Model Refinement: As new data comes in, regularly refining the model ensures it stays relevant and continues driving optimal decisions.
• Data Quality & Availability: MMM depends on clean, reliable data. Inconsistent or incomplete data can lead to skewed insights and poor decision-making.
• Time Lags & Adstock Effects: Marketing efforts often have delayed effects. Accounting for these time lags ensures a more accurate view of long-term marketing effectiveness.
• Handling Overlapping Channel Effects: Marketing channels influence customer behavior in combination, requiring advanced statistical modeling to isolate their true impact.
• Incorporating Organic Efforts: MMM should account for organic search, word-of-mouth, and other non-paid efforts to fully understand marketing performance.
• Customisation for Your Business: Generic MMM models don’t capture the nuances of your market. Tailoring the model to your industry, sales cycle, and customer demographics is critical.
• Managing Diminishing Returns: Marketing investments reach a saturation point where additional spend yields smaller returns. MMM helps brands identify when to reallocate budget for maximum impact.

The Future of AI-Driven Marketing Performance

As AI continues to shape marketing measurement, brands that fail to adapt will fall behind. At Algorithm, we believe the future of MMM includes:

• Answer Engine Optimisation (AEO)—Optimising content for AI-driven search experiences.
• AI-Powered Predictive Analytics—Real-time forecasting for smarter budget allocation.
• Conversational Data & Intent Signals—Analysing voice search, chat interactions, and AI-generated search results for next-level customer insights.

Why Algorithm? Beyond an Agency, Your AI-Powered Growth Partner

Unlike traditional agencies, Algorithm operates as a true consultancy, leveraging AI, data science, and strategic advisory to fuel long-term growth. We don’t just track performance, we engineer it.

If you’re ready to take a more data-driven approach to your marketing measurement, contact us today and let’s work together to unlock the full potential of your marketing data.