Macroeconomics Uncertainty and Marketing Budget Allocation- A Conceptual Framework.

Abstract

This paper examines how macroeconomic uncertainty shapes marketing budget allocation decisions among senior marketing executives in large firms. Drawing on five theoretical lenses — real options theory (Bloom et al., 2007), marketing resilience during downturns (Srinivasan et al., 2005), recessionary consumer segmentation (Quelch & Jocz, 2009), promotional versus brand-building trade-offs (Nijs et al., 2001), and marketing analytics capability (Moorman & Day, 2016) — the paper identifies four dominant strategic patterns: a widespread shift toward digital and performance channels, increased reliance on AI and marketing analytics, a reassertion of customer value fundamentals, and persistent human capital constraints. An integrated five-layer conceptual framework links macroeconomic conditions to marketing performance through the mediating roles of managerial uncertainty perception, organisational capability, and strategic orientation, substantiated by firm-level case studies of Procter & Gamble and HubSpot. Findings indicate that under uncertainty, firms pursue reversible, digitally-oriented spend reallocation rather than blanket budget cuts, and that AI and analytics capabilities function as structural efficiency multipliers rather than mere cost-reduction instruments.