It is August, and even our secluded beach is full of tourists, so I propose a slightly lighter take on some of the business initiatives we are working on this summer.

The fast-paced and ever-evolving world of AI has placed pricing at the forefront of business success. Companies are competing fiercely and adapting to the dynamic demands of customers, with AI taking center stage.

The platform with extensions pattern is one of the most flexible SaaS packaging patterns. It opens new ways to drive revenue growth. Here is some guidance on how to price SaaS solutions using this pattern.

Figma is a key application for software application, app and website designers. It has recently introduced Figma AI. How is this priced compared to the other packages?

The results are in for our survey on price acceptance of generative AI productivity applications. See how much people are willing to pay.

Community led growth is one of the six growth motions that Ibbaka supports. A current and very exciting example is Hugging Face, the community for Generative AI. Hugging Face provides a great example of pricing for community led growth.

Microsoft put a price on the AI option for Microsoft 365. US$30 per user per month for Copilot. This has triggered much comment and discussion. And it sent Microsoft’s share price up. We look at the reaction to this pricing and invite you to share your thoughts.

‘Per user’ remains the most common pricing metric in B2B SaaS. But there many different ways to price users. One trending approach is active users. What are the emerging best practices in user based pricing?

Change is everything, and everything is changing. Nothing stands still. Observing the change and acting upon the insights is critical, especially in the dynamic world of SaaS companies. That is why we are adding a new analytics module to the Ibbaka Valio platform.

Pricing pages are the public face of SaaS pricing. Make a habit of systematically reviewing pricing pages to see what you can learn about your competitors pricing and positioning. Here is a nine step approach to reviewing a pricing page. Zoho Desk is used as an example.

Cohere offers an alternative Large Language Model and has a nice, clear pricing page. Let’s look at what Cohere’s pricing says about their offer and compare it with Open.ai’s published pricing for GPT.

We are being swamped by generative AI content. This is one of the early use cases for generative AI and both large, well established, companies and start-ups like Jasper and Copy.ai are jumping in. Let’s look at how companies are innovating in this space and capturing the value of their innovations.

The Pricing & Value Diagnostic Checklist serves as a valuable tool to conduct a rapid evaluation of your pricing performance and processes, enabling you to identify areas for improvement and take necessary corrective measures.

In the dynamic world of customer value and pricing, finding the right words to capture complex concepts can be a challenge. The term “grok” and why we implemented this to our LinkedIn newsletter - explore the origins of this intriguing term and why it resonates with our mission to unlock the true power of understanding in value and pricing.

Reddit introduced API pricing in the spring of 2023. In many ways it was well motivated, but it generated a lot of community blowback and damaged Reddit’s reputation. What can we learn from Reddit’s experience?

Take control of your pricing with our upcoming Master Class with PeakSpan Capital. Our highly anticipated event is on “Pricing Diagnostics and Rapid Response” and will equip you with a practical action plan that empowers you to swiftly diagnose and take control of your pricing strategy.

Kyle Poyar at OpenView has proposed a new set of SaaS metrics to better measure Product Led Growth and diverse revenue streams. What are these new metrics? What do they mean for pricing design? Is Value to Customer (V2C) the missing metric?

The SaaS business model has matured. With this maturity comes slower growth, more competition, more scrutiny by buyers and procurement and the need for better price management and customer value management.

There are many ways to think about pricing as a game. One that helps us align pricing with innovation is the open game. What does it mean for pricing to an open game? How does it change how we build pricing capability?

We will be making extensive use of AI in pricing. In fact, we have been using some form of AI for many users as revenue management and pricing optimization engines are based on one form of AI or another. By the past year feels different, and the next three years will be different. What are the requirements for the ethical use of pricing in AI?