You're an advertiser at a large agency, and you want to know how marketing mix models work. Which of the following descriptions explains what marketing mix models do?

Marketing mix models (MMMs) are statistical analyses that quantify the impact of various marketing and non-marketing factors (like pricing, promotions, and seasonality) on sales or market share. They help businesses understand which marketing channels are most effective and how to optimize their budget allocation to maximize return on investment. The first incorrect option describes customer lifetime value (CLV), which focuses on individual customer profitability, not the aggregate impact of marketing on sales. The second incorrect option describes A/B testing or controlled experiments, which isolate the effect of a single variable, rather than modeling the combined impact of multiple marketing inputs. The third incorrect option describes attribution modeling, which assigns credit to touchpoints in a customer's conversion journey, but doesn't typically incorporate broader market factors or directly link to overall sales impact in the same way MMMs do.