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Assessing the Impact of Upselling in Online Fantasy Sports

arXiv 2409.00629 ↗First posted 1 Sep 2024cs.LG stat.APcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 3 of its 14 references that are in the map. First posted on arXiv 1 Sep 2024.

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References · 3

  1. 2020CausalML: Python Package for Causal Machine Learningcited by 74
  2. 2017Uplift Modeling with Multiple Treatments and General Response Typescited by 41
  3. 2019Uplift Modeling for Multiple Treatments with Cost Optimizationcited by 25

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