Ponente
Descripción
This empirical study examines the impact of an affiliate campaign on transactions and revenue in e-commerce. The study provides valuable insights for businesses to inform decision-making and optimize their marketing strategies. Data from 2019 to 2022 is analyzed using a methodology of polynomial decomposition and dynamic time series models. The findings demonstrate that affiliate marketing has improved daily transactions. The study also reveals significant trends in yearly and monthly transactions, with the highest number of transactions occurring around Christmas time and payday, and the annual discount event was identified as a key driver of sales. These findings highlight the importance of considering both short and long-term outcomes of marketing initiatives to maximize their impact and drive business growth. By understanding the effect of affiliate campaigns, businesses can increase revenue and boost transactions. The results of this study can help businesses optimize their sales and marketing strategies and make informed decisions to achieve their growth objectives.
