LLM user simulators exhibit a disengagement deficit: they match real buyers but systematically overstate purchase intent among real non-buyers by reducing expressed resistance and increasing deliberation.
Salesrlagent: A reinforcement learning approach for real-time sales conversion prediction and optimization.arXiv preprint arXiv:2503.23303, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Simulated Customers Never Walk Away: Decision Fidelity of LLM User Simulators Measured Against Real Purchase Outcomes
LLM user simulators exhibit a disengagement deficit: they match real buyers but systematically overstate purchase intent among real non-buyers by reducing expressed resistance and increasing deliberation.