You went live on AWS Marketplace three months ago. Deals are starting to come in. Your head of sales says it's going well. Your VP of Marketing wants to know if marketplace is worth the investment. Your board wants to see the numbers at next month's review.
You open your AWS Seller Central dashboard, stare at a table of transaction IDs and dollar amounts, and realize you have no idea how to answer any of those questions in a way that is actually useful.
This is the marketplace analytics problem. The data exists. The metrics that matter are knowable. But most ISVs go live on cloud marketplaces without a measurement framework — and then spend the first year making GTM decisions based on gut feel rather than data.
This guide builds the framework you need.
The Metrics That Actually Matter
Before you build a dashboard, you need to decide what you are measuring and why. Marketplace analytics can be broken into four categories: pipeline metrics, conversion metrics, revenue metrics, and retention metrics. Let us work through each.
Pipeline Metrics: Where Deals Come From
Pipeline from Co-Sell
This is the single most important leading indicator for marketplace GTM performance. Co-sell pipeline is the total value of deals where a cloud provider field seller (AWS Partner Manager, Microsoft seller, GCP PSO) is actively engaged alongside your sales team.
Why does this matter? Because co-sell is the primary mechanism by which cloud marketplaces create net-new demand for ISVs.
A cloud seller who is motivated to help you close a deal — because it consumes their customer's committed spend and generates marketplace transaction revenue — is one of the most effective distribution levers in enterprise software sales. Measuring the pipeline generated through this channel tells you whether your co-sell motions are working.
Track co-sell pipeline separately from inbound marketplace pipeline (where a customer finds your listing independently and transacts). The two sources have different conversion rates, different deal sizes, and different cycle times — treating them as interchangeable will obscure your understanding of both.
Automatum simplifies cloud marketplace operations across AWS, Azure, and GCP.
Book a Working Session →Frequently Asked Questions
Common questions about the topics covered in this guide.
What metrics should I track for cloud marketplace?
Track four categories: pipeline metrics like co-sell pipeline and inbound leads, conversion metrics like close rate and time-to-close, revenue metrics like marketplace ARR and deal size, and retention metrics like renewal rate and expansion revenue.
How do I measure co-sell effectiveness?
Track co-sell influenced pipeline separately from marketplace-only deals. Measure win rates, deal velocity, and average deal size for co-sell influenced versus non-influenced opportunities to quantify the program's impact.
What is a good marketplace close rate?
Marketplace close rates typically range from 25 to 40 percent for private offers, significantly higher than the 10 to 20 percent typical of enterprise direct sales. Committed spend influenced deals close at even higher rates.
How often should I review marketplace analytics?
Review pipeline metrics weekly, conversion and revenue metrics monthly, and strategic metrics like channel mix and co-sell ROI quarterly. Share a one-page dashboard with leadership monthly.
Keep building your marketplace motion
Measurement and operations guides for marketplace teams.


