A recession is forecast, and the leadership team wants one rule for the whole portfolio: cut advertising, hold price. Applying this evidence, the team instead plans a price defense for its beverage brands and value mass brands, where long-term price sensitivity rises most in a downturn. It expects advertising to buy less sales growth until the recovery. It then sets the rules by brand position and product class rather than portfolio-wide.
A recession makes shoppers more price-sensitive and advertising less effective, and the shift builds over months rather than showing up in the first weeks.
Month to month, sales respond to price and advertising about the same in good times and bad. The response that accumulates over months does change: consumers grow more price-sensitive in contractions and less so in expansions, advertising sells more in expansions, and competitors' price cuts take more sales in contractions. The pattern differs by brand type and product class, so one downturn rule does not fit a portfolio.
Data chart
The downturn pattern differs enough by product class that a uniform portfolio rule would conceal the categories under greatest pressure.
Key takeaway
Over the long term, downturns raise price sensitivity and lower advertising's effect on sales.
Source
van Heerde, H.J., Gijsenberg, M.J., Dekimpe, M.G., & Steenkamp, J-B.E.M. (2013). Price and Advertising Effectiveness over the Business Cycle. Journal of Marketing Research.
Evidence strength: Strong. The evidence covers monthly U.K. data for 150 national packaged-goods brands across 36 categories, 1993-2010; it does not estimate profit or ROI and is less applicable to digital advertising, private labels, durable goods, services, emerging markets, or non-U.K. markets. Several cycle effects meet only a p < .10 standard, the crisis-period percentages are model illustrations rather than separately tested estimates, and the brand-type and product-class splits rest on small, unequal groups. The study reports little cycle variation in competitive effects overall and warns that the number of effects tested may have strained the model.