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Sales Cycle MMM

Discover a new way to evaluate media performance across ever changing Sales Cycles, perfect for fast moving and quick changing markets and businesses.

Precision media performance for dynamic business and sales cycles

Quantile Regression is a powerful statistical tool that reveals invaluable insights into the performance of marketing campaigns at different sales quantiles.


Unlike traditional linear regression methods, which focus on the mean performance, our Sales Cycle MMM estimates the performance at specific sales cycles (low, median, or high) offering a more robust and versatile approach to marketing-mix modeling.


Our dynamic Sales Cycle MMM can help you make data-driven decisions with confidence. Optimize your media performance across different sales cycles and segments and plan your marketing with precision.

Key Features

Resilience to Outliers

By concentrating on the median return on investment (ROI), Quantile Regression eliminates the influence of outliers and provides a more reliable model for making crucial marketing decisions, ensuring accurate media budget allocations.

Analysis at Different Sales Cycles

Quantile Regression enables marketers to analyze the effectiveness of marketing campaigns during periods of low sales (e.g., recessions or seasonal lows) and high sales (e.g., Christmas peaks or significant news events). This approach offers valuable insights into how the effectiveness of media channels varies across different sales quantiles.

Analysis Across Segments

This method provides a more detailed view of the effects of marketing variables across different segments of the market or customer base. For example, it can reveal how marketing spend impacts not just average sales but also the performance among high and low spenders. This can guide more targeted and effective marketing strategies.

Media Performance Optimization

Quantile Regression helps marketers identify which media channels perform best during various sales periods, empowering them to optimize media budgets and capitalize on opportunities for growth.

Key Uses

Seasonal Products

Cyclical Industries

Cyclical Industries

Understand the variability in sales or marketing performance across different quantiles of distribution, rather than just focusing on the average. Account for seasonal demand variations and the risk associated with outcomes in different seasons.

Cyclical Industries

Cyclical Industries

Cyclical Industries

In cyclical industries, where economic conditions can dramatically affect performance, Sales Cycle MMM offers a sophisticated tool for navigating uncertainty, optimizing strategies across different market conditions, and ultimately enhancing resilience and profitability.

Trending Markets

Cyclical Industries

Trending Markets

Sales Cycle MMM offers a comprehensive toolkit for businesses operating in trending markets to analyze, strategise, and respond with nuanced understanding and agility, ensuring they remain aligned with market dynamics and ahead of the competition.

Explore our Approach

Want to know more about Sales Cycle MMM?

Go beyond BAU modelling and optimize media in-line with market trends and sales cycles for more adaptive and precise performance. Sales Cycle MMM helps you understand how marketing impacts dynamic variables for a view that allows you to truly fine tune. 

read more
Quantile Regression Analysis, Advertising Spend Impact, Sales Response to Advertising
Quantile Regression Python Code, Bayesian Statistical Modeling, PyMC3 Quantile Regression Example
Model Residuals Analysis, Time Series Model Evaluation, Statistical Model Accuracy, Data Model Fit
Model Diagnostic Analysis, Residuals Plot for Model Accuracy, Statistical Model Validation
Residuals Analysis, Statistical Model Evaluation, Understanding Model Deviations
Quantile Regression Analysis, Social Media Impact Coefficients, Quantile-specific Marketing Insights

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Want to get started with Sales Cycle MMM?

Tell us briefly about you, your business and your objectives and we'll send you details about service plans and pricing.

Sales Cycle MMM enquiry

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