Substack — AWS Marketplace Listing Benchmark¶
Source data: 602 live AWS Marketplace listings scored 2026-06-20 (303 Professional Services + 299 SaaS) via Vellocity's
marketplace:build-corpus+marketplace:aggregate-benchmarks. Copy-only public scoring. Substack has no API connected — paste the body below into the Substack editor.
Title: We scored 600 AWS Marketplace listings. 85% fail the one test that wins deals. Subtitle: Clarity and SEO are table stakes. Differentiation is where almost everyone disappears — and where the top 10% win.
From a buyer's seat, most AWS Marketplace listings blur together. We wanted to know, concretely: how good is the average listing, and what actually separates the ones that win?
So we scored 602 live listings — 303 Professional Services and 299 SaaS — against the six things a buyer (or the AI assistant shopping on their behalf) weighs: clarity, buyer fit, differentiation, SEO, trust, and conversion. Every score comes from the public listing copy alone. No insider data.
Here's what we found.
The basics are solved. The differentiator isn't.¶
| Dimension | Median | Top 10% |
|---|---|---|
| SEO | 97 | 99 |
| Clarity | 89 | 94 |
| Buyer fit | 79 | 85 |
| Trust | 78 | 85 |
| Conversion | 88 | 93 |
| Differentiation | 23 | 93 |
Median clarity is 89/100; median SEO is 97. Nearly every listing has a clean title and the right keywords. That's the good news — and the problem. When everyone clears the same bar, the bar stops mattering.
Differentiation is a cliff, not a curve.¶
This was the most striking finding. On differentiation, scores don't spread out — they pool at the bottom. 85% of Professional Services listings and 74% of SaaS listings score below 40 out of 100. The median is 23. Then a small group breaks away: the top 10% score 93 and up. There's almost no middle. You either made the case for why you're different, or you didn't.
Conversion is the second leak.¶
About 45% of listings in both categories score below 50 on conversion — usually meaning no clear call to action. The buyer reads, nods, and leaves. You did the work to get found and never asked for the next step.
Why this happens.¶
Most listings are built from the same AWS template by teams who (reasonably) optimize for completeness and keywords. That gets you clarity and SEO. But differentiation can't be filled in from a template — it requires a point of view: a named outcome, a specific buyer, a reason it's you and not the eight listings next to you. Most teams never write that sentence down, so the model never sees it, and neither does the buyer.
Why it's about to matter more.¶
Buyers increasingly start with an AI assistant: "what's the best tool for X on AWS?" When a model answers, it cites listings that say something specific and citable. An undifferentiated listing isn't just unpersuasive to humans — it's invisible to the assistant doing the shortlisting. As AI-mediated discovery grows, "sounds like everyone else" becomes "doesn't get recommended."
What the top 10% do (and you can copy today):¶
- Lead with a measurable outcome, not a category. "Cut incident resolution time 60%" beats "enterprise-grade observability."
- State the difference in the first two lines. Don't bury it under three paragraphs of adjectives. Say who it's for and why it isn't interchangeable.
- End with one clear next step. One obvious action — book a demo, start a trial, request a private offer.
None of this needs a rebrand. It needs a sentence most listings are missing.
The honest fine print: this is a 602-listing sample, scored on public copy with our model — it measures how a listing reads, not the quality of the product underneath. Plenty of great products have mediocre listings. That's exactly the opportunity.
If you sell on AWS Marketplace, the fastest way to use this is to see where you land. Our Listing Score is free and takes about 15 seconds — paste your URL and you'll get your six scores, your category percentile, and the three highest-impact fixes: vell.ai