No open-access location is known for this record yet.
No open-access location is known for this record yet.
Purpose The purpose of this study is to estimate the relative contributions of individual marketing mix variables to sales as well as short‐term and long‐term effects of advertising in India. Design/methodology/approach Time‐series data on sales and marketing mix variables have been collected for two brands. Two double‐log regression modes have been fitted on data to estimate the relative contribution of each effort as well as to isolate the amount of sales due to advertising only. In addition, a log‐linear partial‐adjustment model has been fitted on adjusted sales and advertising data to estimate both short‐term and long‐term effects of advertising. Findings Results reveal that all the marketing mix variables have significant relative contributions to sales in both the cases. It is also found that advertising does have significant short‐term and long‐term effects on adjusted sales for both the brands. Practical implications Findings provide a deep insight in dynamic perspective of advertising that make them eminently suitable in the process of allocation of budget to achieve both the short‐term and long‐term goals of advertising. Originality/value This research made a notable contribution to the literature due to lack of quantitative modeling works on marketing data reported in the field of advertising in India.
Loading…
Stored only when both papers are in the corpus — 7 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.