The concept blend of generative AI, monetization, pricing and customer value management is bringing together terms not often used together. Tokens are an important part of transformer models and are also being used as a pricing metric. The Ibbaka AI Monetization in 2025 includes a handy glossary to keep track of these terms.

The Ibbaka AI Monetization in 2025 survey report is getting a lot of interest as it has the deepest data on how AI-enabled B2B SaaS and B2B AI are being monetized. On January 23 Ibbaka will have a webinar with pricing and monetization experts Mark Stiving and Michael Mansard to go deep into the findings and recommendations.

Customer Value Management for Everyone. Ibbaka has leveraged generative AI to make customer value management and value based pricing more effective, easier to adopt and evolve, and more affordable. Learn about the new Ibbaka Foundation package and see how it can impact your ARR, ACV and NRR.

Value models are a far more powerful frame for customer value management than ROI calculators. Companies that need to communicate value to buyers and document value for customers need a value model and the ability to communicate value in value stories.

Ibbaka’s second Annual report on AI Monetization is now available. The report is based on a survey of more than 300 B2B companies that are bringing AI enabled or AI applications to market. It includes four mini case studies, proposes four emerging packaging patterns and defines three different approaches that companies are taking. The report is essential reading for anyone in the B2B AI applications space.

OpenAI has released its newest reasoning model o3. How will it be priced? Will OpenAI move from token pricing to task pricing? How would task based pricing work for o3? How would it impact pricing of agents and applications using o3?

The year of the wood snake, 2025, is to be a time of transformation, wisdom, and renewal. This is especially true of customer value management (CVM) which is becoming a strategic way to introduce new products and technology (like AI) and to sustain that revenue over time. Value to Customer (V2C) is the key metric in CVM and is a compelling way to organize operations.

Commercialization of B2B generative AI is coalescing around four patterns: Co-Pilots, Agents, Generators and Service as Software. Which pattern will dominate in 2025? How does one price each of these patterns? Prepare for change in 2025.

Customer Value Management (CVM) is a rapidly growing category of B2B software. These platforms are used to measure the value being delivered to a customer (Value to Customer or V2C) and manage value communication, delivery and documentation. Pricing is integral to value management as customer see value in relation to price and price in the context of value.

Our Wrapped 2024 webinar and podcast recap of cutting-edge strategies in AI monetization, Net Revenue Retention (NRR), and value generation for B2B SaaS. From expert tips, industry leader conversations and interviews - content to make you and your customers a sales and value creation powerhouse.

Value is a tory that is told with customers across the customer journey, from pre sales through to customer success. In this post Ibbaka Chief Value Officer Karen Chiang tells the story of the Ibbaka customer value journey. She provides an approach relevant to all B2B SaaS companies. This is a follow up from Karen and Rashaqa Rahman’s PeakSpan Master Class: The Value Narrative – Integrating Value & Improving Engagement Across the Customer Lifecycle.

Agentic technology or AI agents are one of the emerging themes for 2025. What functions can be packaged as agents? How will agents be priced? Integrations are a useful case study. Agentic AI approaches to integration offer more value than automation and will likely take over the highest value applications.

Edward Wong is taking on a new role at Ibbaka as Manager of Research and Community. In this post he talks about what the role means to him and the contribution he wants to make to Ibbaka, our customers and the wider value community.

The rapid of evolution of B2B SaaS and generative AI mean we need new ways to chart and navigate a changing environment. Ibbaka is responding by upgrading its investment in research and community. We are adding research reports and generating value models for many solutions based on publicly available information.

Amazon is making some big plays as it tries to establish a growth flywheel for AWS in the generative AI era. This includes offering its own chips as alternatives to Nvidia, offering its own models, and supporting the idea that no one model will or should win. Amazon’s pricing for its own models is generally cheaper than the alternatives. How will this impact packaging and pricing in 2025? We offer some suggestions.

Karen Chiang has become the Chief Value Officer for Ibbaka. In this role she is responsible for how we deliver value to our customers around the value cycle and for ensuring we deliver a high V2C (Value to Customer) to all the companies on the Ibbaka platform.

In a world where companies are transforming their offers and finding new ways to compete the Chief Value Officer (CVO) is emerging as a key role. Having a CVO is in your own and your customer’s interests. Ibbaka welcomes Karen Chiang, a co-founder, as CVO.

Is customer support the killer app for B2B generative AI? We have some early results from the AI Monetization in 2025 survey that suggest widespread adoption of this class of solutions. This is also where we are seeing the strongest evidence for outcome based pricing. Will the success of customer support cascade over into other B2B applications?

One way to think about cybersecurity is as a form of insurance. What lessons can be taken from insurance pricing for cybersecurity solutions? We present a concept blend that suggests a new approach to cybersecurity pricing and advocate for a shared framework for cybersecurity modeled on the insurance industry’s ACORD framework.

What ethical issues come up when one uses AI to inform pricing? As adoption of generative AI based applications starts to take off it is time to put in place plans to address and mitigate ethical issues such as transparency, bias, availability and environmental impact. This is part of an AI pricing strategy.