Marketplace listings
Marketplace listings put a Product in app stores and cloud marketplaces and request reviews only after a Customer’s first success.
Marketplace listings put a Product in app stores and cloud marketplaces, where buyers already search and pay. Reviews are requested only after a Customer’s first success.
Ratings
| Dimension | Rating | Reads |
|---|---|---|
| Scalability | 4 of 5 | high: higher grows further with spend or automation |
| Cost | 2 of 5 | low: lower costs less per Customer |
| Latency | 3 of 5 | medium: lower answers sooner |
Budget
| Property | Value |
|---|---|
| Tier | $100 |
| Minimum effective budget | $100 a month |
| Monthly spend | Yields |
|---|---|
| $100 | Developer program fees, then a fee on each sale. |
How it runs
A listing costs developer program fees, then the marketplace takes a fee on each sale. A cloud marketplace listing lets an enterprise buyer pay from committed cloud spend, which shortens procurement.
Processes
Runs as Launches, accountable to the Marketing Team.
Fits
| Fits | Value |
|---|---|
| Family | demand |
| Shelf | Seed: finds the first Customers (Launch) |
| Moves | Organic share |
| Motions | b2b, b2c |
| Venues | App Store, Google Play, Shopify App Store, Salesforce AppExchange, Chrome Web Store, AWS Marketplace, Azure Marketplace, Google Cloud Marketplace |
| States | Live, Repeatable, Scale |
Loop
| Step | Value |
|---|---|
| Hypothesis | Asking for a review only after a Customer’s first success raises listing rank and organic share. |
| Measure | Organic share over 90d, at least 30 observations |
| Learn | The learn step reads the Readout, records Evidence and a Decision, and drafts the next Variant. |
Example
A Startup selling a data-masking API lists on AWS Marketplace with a private offer. A bank buys it against its existing cloud commitment and skips a new vendor review.