Winning monetization and sales strategies for insurtechs in the age of AI

In partnership with

Simon Kucher

Date: Thursday, October 1

Time: 10:30 AM - 2:00 PM 

Overview:

Monetization remains one of the most critical challenges for insurtechs and insurance service providers as the market matures. In 2026, carriers are more disciplined in how they evaluate vendors, increasingly focused on measurable ROI, and more selective in long-term partnerships. At the same time, AI and automation have become expected capabilities, fundamentally reshaping both product value and how that value is captured. 

You’ll gain insights on why pricing and packaging are critical to defining an effective monetization strategy. How value is communicated, packaged, and priced remains the cornerstone of sustainable growth, and sets the stage for understanding how AI is disrupting traditional approaches. 

Companies must confront several strategic questions: Is AI a feature, a differentiator, or a direct threat to your core offering? In many cases, AI is not only enabling new revenue streams but also creating existential risks. We’ll cover how to assess these risks, design defensible and scalable monetization strategies, and build pricing and packaging models aligned to evolving value metrics. 

Finally, the session will address how to effectively bring these strategies to market. Even the best-designed monetization strategies fail without the right commercial execution. We will cover key elements of sales effectiveness, including how to align incentives, structure deals, and refine go-to-market approaches to improve win rates and protect margins.

Who should attend?

  • Founders, executives, and commercial leaders at insurtechs and insurance service providers 

  • Startups from seed to public companies refining their revenue strategies 

  • Growth-stage and enterprise companies optimizing pricing, packaging, segmentation, and sales execution 

  • Anyone responsible for pricing, monetization, or sales effectiveness 

What will you learn?

  1. How to design monetization strategies that are resilient to AI-driven disruption  

  2. How to evolve pricing models and align price metrics with AI-driven value creation  

  3. How to assess AI-driven risks and their implications for your business and monetization model  

  4. Common monetization and deal-structure pitfalls and how to avoid them  

  5. How to improve sales effectiveness by aligning pricing, incentives, and go-to-market strategy