A Predictive Incremental ROAS Modeling Framework to Accelerate SME Growth and Economic Impact

Wenwen Liu

doi:10.70393/6a6574626d.333435

Authors

Wenwen Liu University of Washington

DOI:

https://doi.org/10.70393/6a6574626d.333435

ARK:

https://n2t.net/ark:/40704/JETBM.v2n6a04

Disciplines:

Business

Subjects:

Business Strategy

References:

5

Keywords:

Incremental ROAS, Advertising Budget Optimization, Quasi-Experimental Design, Advertising Effectiveness Enhancement

Abstract

To optimize SME advertising budget allocation and bidding strategies while enhancing campaign returns, this study employs an incremental ROAS optimization framework. Through quasi-experimental design and data analysis, it identifies incremental advertising benefits to refine budget distribution and placement strategies. Findings demonstrate that the framework significantly boosts ROAS across advertising channels, with particularly pronounced optimization effects under budget constraints. Results validate the framework's applicability across multiple advertising channels, confirming its practical value in improving campaign efficiency.

Author Biography

Wenwen Liu, University of Washington

University of Washington, USA.

References

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