arXiv:2606.30664v1 Announce Type: cross Abstract: The coupon incentive is one of the most common tools marketers use to court users to engage with a business at various stages of the customer life cycle. A variety of factors can affect the effectiveness of a coupon incentive on users, timing being one of them. We hypothesize that coupons can be more effective when delivered at critical times in the customer journey, right when a user is engaging with the platform. Verifying such a hypothesis would typically require real time event-triggered coupon distribution software that may be too expensiv
The paper leverages recent advancements in causal inference and machine learning to optimize marketing strategies, reflecting a growing industry focus on data-driven personalization.
Optimizing coupon timing provides a concrete example of how AI can drive significant improvements in business outcomes by enhancing customer engagement and conversion rates.
Businesses can move beyond generic coupon distribution to context-aware, event-triggered incentives, leading to more efficient spending and higher ROI on marketing efforts.
- · E-commerce platforms
- · Marketers
- · Retailers
- · AI/ML solution providers
- · Traditional advertising agencies
- · Businesses with undifferentiated marketing
Increased efficiency and effectiveness of digital marketing campaigns for businesses adopting these techniques.
Heightened consumer expectations for personalized offers, pushing more businesses to adopt advanced AI-driven marketing.
The development of more sophisticated real-time event processing and decision-making AI systems to manage complex customer interactions.
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Read at arXiv cs.LG