Can Chatbots Be Persuasive? How to Boost the Effectiveness of Chatbot Recommendations for Increasing Purchase Intention

Abstract

Firms increasingly invest in chatbots that provide purchase recommendations. However, customers often reject recommendations by chatbots because they find neither the contents of the recommendation (message-level persuasiveness) nor the chatbot itself (source-level persuasiveness) persuasive. To overcome these barriers and increase purchase intention, this study examines how the content of recommendation messages should be designed and which communication style the chatbot should use to provide recommendation messages. Results of a 2 (two-sided vs. one-sided recommendation message) × 3 (warm vs. competent vs. neutral communication style) between-subject online experiment show that a two-sided recommendation message increases purchase intention, but only for chatbots using a warm or competent communication style. Whereas a warm chatbot leads to higher purchase intentions of a recommendation through promoting its source persuasiveness, a competent chatbot increases recommendation effectiveness by promoting message persuasiveness. Therefore, firms should refine a chatbot's communication style for providing recommendations that persuade customers to purchase.