Synergistic, Antagonistic, and Asymmetric Media Interactions

Abstract

Despite the highly touted potential for synergies in cross-media advertising, much has yet to be discovered about how the effects of multiple media combine to shape sales response. Two challenges related to the investigation of media interaction effects are their complex nature and their specification in a sales response model. The authors adopt a flexible modeling approach, multivariate adaptive regression splines (MARS), which captures parsimoniously complex interaction effects and facilitates their measurement and interpretation. Analysis of multiple data sets on brand sales and media spending points to the following typology of media interaction effects: (1) synergistic (positive interactions), (2) antagonistic (negative interactions), and (3) asymmetric, where each medium does not contribute equally to the interaction. The findings show that 44% of media spend produces synergistic effects, whereas 21% produces antagonistic effects. Hence synergy is not the de facto outcome of cross-media advertising. Interestingly, low-budget media play a key role in producing interaction effects.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 15 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.