On June 5th, Ibbaka presented at PeakSpan’s Master Class series. We explored practical steps for building a robust value model, a key tool for value-based pricing. This model, crucial for sales, customer success, and product management, helps estimate economic value. In this blog post, we elaborate on questions from the session.

Will generative AI apps require generative pricing? And what might generative pricing be? We asked a generative AI to get a recursive perspective on this.

Net Revenue Retention depends on more than churn/retention. There are six factors that determine NRR. Which are you prioritizing? Take the PeakSpan Ibbaka 2024 NRR Survey and we will share out insights.

A recent poll found that 40% of pricing, design and product management leaders believe that generative AI will require new approaches to pricing. What might these new approaches look like? We explore this using concept blending with the help of generative AI.

Peakspan and Ibbaka collaborate each year on a survey to understand how B2B SaaS companies approach Net Revenuer Retention (NRR). The survey results are used to benchmark NRR performance by SaaS vertical and to help SaaS operators improve NRR performance.

The Mark Stiving and Steven Forth webinar attracted about 500 people and there were a lot of questions asked in the chat. This is the third of a series of posts where we answer these questions.

The Mark Stiving and Steven Forth webinar attracted about 500 people and there were a lot of questions asked in the chat. This is the second of a series of posts where we answer these questions.

The Mark Stiving and Steven Forth webinar attracted about 500 people and there were a lot of questions asked in the chat. This is the first of a series of posts where we answer these questions.

There has long been speculation that AI will enable a shift to outcome based pricing, overcoming objections based on attribution, predictability and accountability. Intercom’s pricing of its Fin AI Agent is evidence that this is beginning to happen. Will AI lead to outcome based pricing?

MEDDIC is a popular approach to lead qualification for B2B SaaS. The M stands for Metrics and itis often where sales struggles. Some even skip over this. The value based approach provides the tools needed to manage the M in MEDDIC.

NRR (Net Revenue Retention) is a critical metric for today’s SaaS companies. To help companies improve NRR, Ibbaka is introducing a Revenue Retention Maturity Model that will help companies improve their NRR performance. Learn about this critical new tool in SaaS management.

Value models integrate different types of information: about the customer, about the improvement claims, about the industry and economy along with assumptions that are part of the model. Bringing these different types of information together drives insights that are not available when the data is managed in silos.

Last fall Ibbaka research found that the most common pricing metric for AI applications was per user. This was confirmed in a recent survey by Kyle Poyar and Palle Broe for Growth Unhinged. What are the reasons for this?

Many companies focus on cost reduction as the easiest value driver to define. But there often cases where revenue is a more powerful value driver. Why do so many pricing and marketing teams default to cost value drivers? Revenue value drivers are playing a key role in green or sustainable solutions.

What data do you need to capture in order to design and manage pricing? Your value model holds the answer. Build a value model, identify the variables, and see which of the variables can be set through your solution.

Major generative AI vendors are looking for ways to make solutions more compelling, that is to say higher value. What are the emergent strategies? How are they creating value? How will this value get priced?

IDC identified Ibbaka as one of its Innovators in the Price Optimization for Usage and Recurring Revenue Models space. Four companies are called out for their innovations in the space. Ibbaka is changing how companies build, manage and apply value models and use them in pricing, sales, and customer success.

AI is changing what we price. That is the theme of our April 26 talk at the Professional Pricing Society conference in Chicago. But it is also changing how we price. Let’s open up our thinking and explore different ways we could apply AI to pricing.

Total Cost of Ownership (TCO), Return on Investment (ROI) and Value are ll used in price setting an justification. How are these related? Which approach works best? A value model is at the heart of a successful value program and critical to managing churn.

Churn is the first of the six Net Revenue Retention Levers to look at. Begin by understanding the natural rate of churn for your solution. If you are above the natural rate of return, then churn is where you need to focus. Ibbaka can help you use value and pricing to reduce churn.