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About speaker

Verena De Smedt-Zuegner

Simon-Kucher

Partner, Commercial Excellence Expert

Verena De Smedt-Zuegner is a Partner at Simon-Kucher, where she leads growth strategy initiatives for software, internet, and technology companies. She advises Fortune 500 corporations as well as startups and scaleups on go-to-market strategies, subscription and monetization models. Her work focuses on customer-centric strategy, product and market innovation, and the transformation of business models.

Simon-Kucher is a global consultancy with over 2,200 employees in 30+ countries. As a trusted commercial advisor, Simon-Kucher’s focus is on unlocking better growth that drives measurable revenue and profit for its clients.

With over 40 years of monetization experience, Simon-Kucher is regarded as the world’s leading commercial growth and pricing specialist.

Talk details

Day 3 (10/2)

15:50 – 16:35
fri 2
15:50 – 16:35
Talk
Product General

From AI Innovation to Revenue: Rethinking Software Monetization

Verena De Smedt-Zuegner
Verena De Smedt-Zuegner Partner, Commercial Excellence Expert at Simon-Kucher
AI Monetization Product Innovation SaaS Software

AI innovation is everywhere—but turning it into profitable growth is much harder.

As software evolves from helping people do their jobs to increasingly performing tasks autonomously, companies need to rethink not only what they build, but how they package, price and monetize it. Traditional seat-based SaaS models are coming under pressure, while new approaches based on usage, credits, agents and outcomes are emerging.

Which AI innovations should companies monetize—and how? When should AI be included, packaged as a premium capability, or charged based on consumption or outcomes? And how can companies capture the value they create while keeping pricing simple and predictable for customers?

This session explores how software leaders can turn AI innovation into sustainable revenue—from identifying customer value to choosing the right monetization model and scaling it successfully.

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Data

Leadership

Product

AI/ML

UX/UI

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