LinkedIn – Marketing Mix Modeling

Use Data Science to Analyze the True Effect of LinkedIn Campaigns

Marketing Mix Modeling (MMM) integrates into the evaluation of LinkedIn campaigns to estimate their actual impact on conversions and branding beyond click-based attribution. Digitl provides the technical setup and develops custom algorithms to calculate ROI, saturation, and overall LinkedIn campaign impact.

Strategic Drivers and Technical Foundations of Marketing Mix Modeling

Brand versus Performance

MMM provides valuable insights into the distinct roles of brand and performance marketing by quantifying the impact of both brand-building activities, such as awareness campaigns and special events, and direct response initiatives that drive immediate conversions. By analyzing different channels through the "Ad Bank Effects" framework, MMM helps businesses understand which channels contribute to long-term brand building and which drive short-term performance. This understanding is crucial for balancing marketing strategies, as performance marketing delivers immediate results while brand efforts foster long-term growth and customer loyalty.

Section describing image

ROI Analysis

ROI analysis is a pivotal component of MMM, providing a data-driven approach to evaluate the financial performance of various marketing channels. As a key cost-related KPI, alongside metrics like ROAS, ROI is derived from model outputs, comparing the revenue generated by each channel to its associated costs. The Looker Studio dashboard features a channel evaluation table summarizing ROI across channels, allowing businesses to easily identify top performers and areas for improvement. This analysis is essential for optimizing future media mixes, guiding budget allocation decisions, and enhancing overall marketing efficiency.

Section describing image

Carry-Over Effect

The carry-over effect acknowledges the reality that marketing's influence transcends immediate impressions. Ads, campaigns, and other marketing touchpoints can continue to influence consumer behavior and drive conversions well beyond their initial exposure. Digitl's MMM incorporate this phenomenon by meticulously calculating short-, medium-, and long-term carry-over effects for each marketing channel. This nuanced approach ensures that the true impact of each channel is accurately captured, leading to a more comprehensive understanding of marketing effectiveness and facilitating informed decisions on budget allocation and campaign optimization.

Section describing image

Seasonality & Trends

Incorporating external factors like holidays, seasonality, and broader market trends into Marketing Mix Modeling is vital for accurately capturing their influence on conversions. This ensures a more precise understanding of marketing effectiveness by distinguishing between the impact of marketing efforts and natural fluctuations in demand.

Section describing image

Cloud Platform

A robust and scalable technical infrastructure is crucial for efficient MMM execution. Digitl uses Google Cloud to establish a secure and automated environment for data ingestion, storage, machine learning, and visualization. This infrastructure includes components like BigQuery for data warehousing, Vertex AI for model development and deployment, and Looker for interactive dashboards and reporting. Automation and orchestration tools ensure seamless data flow and efficient model updates, keeping insights fresh and actionable.

Section describing image

Are you interested?

Contact us today to start your journey towards digital success!

Trusted by industry leaders