Assessing the Impact of Upselling in Online Fantasy Sports

Fuente: arXiv
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Autore principale: Chaudhary, Aayush
Natura: Preprint
Pubblicazione: 2024
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author Chaudhary, Aayush
author_facet Chaudhary, Aayush
contents This study explores the impact of upselling on user engagement. We model users' deposit behaviour on the fantasy sports platform Dream11. Subsequently, we develop an experimental framework to evaluate the effect of upselling using an intensity parameter. Our live experiments on user deposit behaviour reveal decreased user recall with heightened upselling intensity. Our findings indicate that increased upselling intensity improves user deposit metrics and concurrently diminishes user satisfaction and conversion rates. We conduct robust counterfactual analysis and train causal meta-learners to personalise users' upselling intensity levels to reach an optimal trade-off point.
format Preprint
id arxiv_https___arxiv_org_abs_2409_00629
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Assessing the Impact of Upselling in Online Fantasy Sports
Chaudhary, Aayush
Machine Learning
Applications
This study explores the impact of upselling on user engagement. We model users' deposit behaviour on the fantasy sports platform Dream11. Subsequently, we develop an experimental framework to evaluate the effect of upselling using an intensity parameter. Our live experiments on user deposit behaviour reveal decreased user recall with heightened upselling intensity. Our findings indicate that increased upselling intensity improves user deposit metrics and concurrently diminishes user satisfaction and conversion rates. We conduct robust counterfactual analysis and train causal meta-learners to personalise users' upselling intensity levels to reach an optimal trade-off point.
title Assessing the Impact of Upselling in Online Fantasy Sports
topic Machine Learning
Applications
url https://arxiv.org/abs/2409.00629