Choosing the right offer type for your cloud and AI solutions
Whether you're bringing a new AI solution to market or evaluating how to scale an existing application, understanding Marketplace offer types can help you choose the right path to monetization and customer adoption. Check out this short video that compares the capabilities of SaaS offers, Container offers, and Azure managed applications to understand which model best aligns with your architecture, deployment requirements, and customer needs.
What's preventing your Marketplace growth engine from scaling?
Many SDCs know where they want to go with Marketplace, but struggle to turn individual activities into a repeatable growth motion. The latest in the Sell more with App Advisor blog series, asks: ✅ What part of your Marketplace journey is most repeatable today? ✅ Where do you still rely on manual effort or tribal knowledge? ✅ If you could eliminate one friction point between building, publishing, and growing, what would it be? Read the blog and share your thoughts: Build a Repeatable Marketplace Growth Engine with App Advisor The responses could generate useful insights for future Marketplace content and help identify common challenges across the community!What are your frictions points between build and revenue?
Turning a great product into Marketplace revenue isn't always straightforward. The latest post in the Sell More with App Advisor blog series highlights How to use App Advisor to avoid 5 common mistakes and sell more on Marketplace Many software companies have the technical capability to build great solutions, but still encounter delays caused by fragmented guidance, uncertainty about next steps, or difficulty navigating Marketplace programs and processes. That's exactly the challenge App Advisor is designed to address. 💬 Where does your team encounter the most friction today? Choosing the right Marketplace offer type? Finding the right architecture patterns or code samples? Publishing and optimizing listings? Understanding co-sell and negotiated deal opportunities? Scaling revenue after launch? If you haven't explored it yet, check out the latest post in our Sell More with App Advisor series and join the conversation.Dataverse → External System (Kajabi) – Licensing Clarification
Hi All, I'm looking to build a solution that utilises Dataverse, and I’m looking for some clarity on licensing for an integration with a third-party platform (Kajabi), specifically around API usage and external users. The main workflow: Data is stored in Microsoft Dataverse Power Automate is used to: Trigger on Dataverse events (create/update) Call the Kajabi API (via HTTP/custom connector) Create users, assign tags, and enrol them on courses Kajabi users: Do not access Power Apps, Dataverse, or Power Platform directly Only interact with Kajabi (external system) My Question: Do external Kajabi users require any Power Platform / Dataverse licensing if they never directly access Microsoft services and only consume data via API? ThanksHow App Advisor simplifies resources to clarify the most relevant next step
For software development companies, the Microsoft Marketplace journey isn’t always linear. It’s a series of decisions: what to build, how to package it, how to publish, and how to sell it, each with real dependencies and real friction. Read more about how App Advisor provides clarity at every stage.
Design reliable environment strategies for AI apps and agents in Microsoft Marketplace
Discover how to design a reliable environment strategy for AI apps and agents selling through Microsoft Marketplace. This Marketplace Community article explains why structured Dev, Stage, and Production environments are essential for safe updates, predictable behavior, and long‑term customer trust. As AI systems evolve through prompt updates, model changes, and shifting data contexts, behavior can vary across environments. Clear environment separation, controlled promotion paths, and consistent configuration boundaries help prevent regressions, support validation, and ensure changes can be introduced safely without impacting production workloads. Learn how to design environment strategies that enable confident iteration, support Marketplace readiness, and help customers operate solutions predictably at scale. Read more: Designing a reliable environment strategy for Microsoft Marketplace AI apps and agentsBuild observability for scalable AI apps and agents selling through Microsoft Marketplace
Discover how to design observability for AI apps and agents selling through Microsoft Marketplace. This Marketplace Community article explains why visibility into execution behavior is essential for operating AI systems confidently at scale—not just keeping them running. As AI apps and agents reason, branch, retry, and exit dynamically at runtime, traditional infrastructure metrics fall short. Behavioral signals such as execution flow, token usage, latency, and failure patterns help explain what systems are doing, why outcomes occur, and how limits and safeguards shape behavior across tenants and environments. Learn how observability turns runtime telemetry into clarity that supports customer trust, usage‑based billing, and scalable operations. Read more: Design observability for AI apps and agents selling through Microsoft MarketplaceBuild and scale AI apps and agents for Microsoft Marketplace success
Ready to move from AI concept to Marketplace success? This article walks through the end-to-end journey of building, publishing, and commercializing AI apps and agents on Microsoft Marketplace—helping software companies navigate the full lifecycle with confidence. From architecture and security to compliance, operations, and commerce integration, Marketplace readiness requires more than a working model—it demands a holistic, production-ready approach. This post introduces a connected framework to guide every stage of development, ensuring your solution is designed for real-world deployment, scalability, and customer trust. Whether you’re refining a prototype or preparing for launch, discover how to align your AI solution with Marketplace requirements from day one and accelerate your path to revenue. Read the full article: Success with AI apps and agents in Marketplace: the end-to-endHow to choose the right Marketplace offer type for your AI app or agent
Selecting the right Microsoft Marketplace offer type is one of the most important—and often most complex—decisions when bringing AI apps and agents to market. In this latest Marketplace blog article, you’ll learn how different offer types align to AI delivery models and why this choice directly impacts architecture, security boundaries, customer experience, and monetization strategy. The article breaks down key considerations across SaaS, Azure Managed Applications, containers, and virtual machines, helping software development companies understand how to balance control, scalability, and operational ownership. It also highlights how offer type decisions influence where AI workloads run, how data is managed, and how customers deploy and interact with your solution. If you’re building or publishing AI solutions in Microsoft Marketplace, this guidance will help you make informed decisions early—before development, security, and go-to-market plans are locked in. Read the full article: Marketplace Offer Types for AI Apps and agents: SaaS vs Managed App vs Containers
