Cloud GTM: The Complete Guide for ISVs (2026)

Cloud GTM (cloud go-to-market) is the strategy and operating model software companies use to sell through cloud marketplaces such as AWS Marketplace, Azure Marketplace, and Google Cloud Marketplace. It relies on co-sell partnerships with hyperscaler sales teams, rather than relying only on direct sales or traditional channel resale.

Cloud GTM covers five connected motions:

• Listing and transacting on cloud marketplaces
• Structuring private offers for custom enterprise deals
• Metering and billing usage-based products
• Co-selling with AWS, Microsoft, and Google field teams
• Syncing all of it back into a CRM like Salesforce or HubSpot

Done well, Cloud GTM turns marketplace and co-sell into a repeatable revenue channel rather than a one-off listing.

Enterprise buyers increasingly purchase software against a pre-approved cloud budget (their AWS, Azure, or GCP spend commitment) instead of going through a separate procurement and legal cycle. This is what makes Cloud GTM faster to close than a traditional sales motion.

Enterprise software sales through hyperscaler marketplaces like AWS, Microsoft Azure, and Google Cloud are projected to grow from $16 billion in 2023 to $85 billion by 2028.

That growth is outpacing most other B2B software sales channels, which is why alliances, partnerships, and RevOps teams have made marketplace and co-sell a standing line item in GTM planning rather than a side project for a partnerships team of one.

Three forces are driving it:

1. Budget consolidation: Enterprises are shifting discretionary software spend into their cloud commitments to hit contractual spend minimums with AWS, Microsoft, and Google, and marketplace purchases count toward those commitments.
2. Procurement fatigue: Buyers increasingly route purchases through marketplaces specifically to skip a standalone vendor security review and legal redline cycle.
3. Hyperscaler sales incentives: AWS, Microsoft, and Google field reps are compensated in part on marketplace-influenced revenue, which gives ISVs access to co-sell support and warm introductions that a traditional channel partnership doesn't offer.

Marketplace listing and transacting

A marketplace listing is a product page on AWS Marketplace, Azure Marketplace, or Google Cloud Marketplace that lets a buyer discover, evaluate, and purchase software directly against their cloud provider agreement.

Listings support several transaction models: flat-rate SaaS subscriptions, usage-based (metered) pricing, free trials, and professional services.

Getting listed requires:

• A signed marketplace seller agreement with the cloud provider
• Product packaging (pricing plans, EULA, support terms)
• Technical integration for provisioning and, for usage-based products, metering
• Tax, banking, and entity verification with the cloud provider

Most ISVs get a first listing live in four to eight weeks without a platform, assuming engineering work is done. A cloud GTM platform such as SaaSify typically compresses this to under two weeks by templating the paperwork and automating the technical integration.

Co-selling with hyperscaler sales teams

Co-selling is the practice of sharing deal information with a cloud provider's field sales team so their reps can introduce your product to their customers or support a deal you've already sourced.

In exchange, the cloud provider's rep gets credit toward their own quota, which is why hyperscaler sales teams actively look for co-sell opportunities rather than treating them as a favor.

Co-sell typically runs through a referral system. An ISV submits (or receives) an opportunity, both sides track it against shared milestones, and the deal closes through the marketplace so it counts toward the buyer's cloud commitment.

Manually, this means re-entering the same opportunity into AWS ACE, Azure's Partner Center, and a CRM. It is the most commonly cited time sink among alliances teams, and the first thing most ISVs automate once co-sell volume grows past a handful of deals a month.

Private offers and custom deal structuring

A private offer is a negotiated, buyer-specific version of a marketplace listing that still transacts through the marketplace and still draws down the buyer's cloud spend commitment. It can carry:

• Custom pricing
• Custom terms
• Multi-year commitments
• A specific start date's cloud commitment

Private offers are how most enterprise deals actually close on the marketplace. Public "buy now" listings are more common for smaller, self-serve purchases. Building a private offer typically requires input from sales, deal desk, finance, and legal, then delivery to the buyer for e-signature inside the marketplace console.

Where this breaks down operationally: templating and tracking offers by hand across AWS, Azure, and GCP, especially once a company is running more than a handful of private offers a month across multiple clouds.

Private offers are also the mechanism that ties a deal to the buyer's committed-spend agreement, whether that is an AWS Enterprise Discount Program (EDP) commitment, a Microsoft Azure Consumption Commitment (MACC), or a Google Cloud committed-use agreement. Where a reseller or channel partner is involved, AWS handles this through a Channel Partner Private Offer (CPPO), which lets the partner transact the deal while the ISV keeps the marketplace relationship and the buyer still draws down their commitment.

Metering, billing and revenue recognition

For usage-based products, metering is the process of reporting consumption data to the cloud marketplace so it generates accurate invoices. For example, reporting API calls, compute hours, or seats consumed each billing cycle via the provider's metering API.

Billing then flows through the marketplace rather than the ISV's own invoicing system, and the cloud provider remits payment to the ISV (typically net of a marketplace transaction fee) on a set schedule.

This is also where revenue recognition gets complicated. Finance teams need marketplace payout data to reconcile against bookings in their own systems (NetSuite, Chargebee, etc.), and multi-cloud sellers end up reconciling three separate payout schedules and reporting formats unless something automates the mapping.

CRM and operational integration

None of the above motions are visible to a sales or finance leader unless they're reflected in the systems those teams already use.

Cloud GTM depends on syncing marketplace listings, co-sell opportunities, private offers, and payout data back into a CRM (most commonly Salesforce or HubSpot) and ERP/billing system, so that marketplace-sourced and marketplace-influenced revenue shows up in the same pipeline and forecasting view as every other deal.

Without this integration, marketplace revenue tends to live in a separate spreadsheet that only the partnerships team looks at - the most common reason Cloud GTM stalls out after an initial listing instead of scaling into a real channel.

A Cloud GTM strategy has three layers: deciding what to build and prioritize, running the day-to-day motions, and measuring whether any of it is working.

Companies that treat Cloud GTM as just getting listed on AWS tend to stall at the first layer. The ones that scale it into a real revenue channel build all three deliberately.

Strategy and planning

The first decision isn't which cloud marketplace to launch on. It's whether your buyers are even there.

Cloud prioritization starts with mapping your ICP against actual cloud usage. If most of your customers and pipeline run on AWS, AWS Marketplace is the obvious first move regardless of where a competitor launched first.

A useful prioritization framework looks at:

• Where your ICP already has cloud spend committed. This determines which marketplace unlocks budget fastest, not just which one is biggest overall.
• Where your competitors and partners already have traction. A crowded marketplace category signals demand, but also means co-sell attention from that provider's reps is more contested.
• What your product economics support. This means the usage-based products meter cleanly into marketplace billing; flat annual contracts need less integration work but also see less benefit from marketplace's usage-based purchasing patterns.
• What co-sell relationships you can realistically build - a marketplace listing with no co-sell motion behind it is a static product page; the revenue upside comes from getting into the provider's field sales conversations.

Most ISVs sequence into a second and third cloud only after the first is generating repeatable co-sell and marketplace revenue, not in parallel from day one - running three under-resourced marketplace motions tends to underperform one well-run motion.

Execution and operations

This is where strategy turns into a repeatable workflow rather than a one-time project. Two operational tracks run in parallel:

• Listing operations: keeping marketplace listings current (pricing, packaging, compliance docs), building and tracking private offers, and managing the technical integration for provisioning and metering.
• Co-sell operations: submitting and receiving opportunity referrals through the provider's co-sell program, tracking those opportunities against shared milestones, and keeping the provider's system and your own CRM in sync as the deal moves.

The operational bar to clear here is straightforward: nothing should live only in the cloud provider's console.

Every listing update, offer, and co-sell opportunity needs a corresponding, current record in whatever system sales and finance already use. Otherwise, Cloud GTM stays invisible to the rest of the revenue org, which is usually why it doesn't get more investment.

Measurement and iteration

Cloud GTM strategy isn't static; the cloud provider relationship, the marketplace's own features, and your product mix all shift often enough that a plan built once a year will lag reality.

Treat the strategy as something reviewed quarterly against a small set of leading and lagging indicators.

The iteration loop that matters most in practice: use what's converting to reprioritize which cloud gets the next quarter's investment, rather than splitting attention evenly across AWS, Azure, and GCP by default.

An alliances or partnerships team usually runs the Cloud GTM function, but it only works when sales, RevOps, finance, engineering, and marketing each own a piece of it.

Companies that assign Cloud GTM entirely to one person or team tend to get a listing live and stall there, because the motions that generate the most revenue (co-sell, private offers, CRM sync) require other functions to change how they already work.

In practice, the split that determines whether Cloud GTM scales past an initial listing is between alliances (who owns the relationship) and RevOps (who owns whether that relationship shows up anywhere sales and leadership actually look).

A strong alliances lead with no RevOps support generates deals that never get tracked; a strong RevOps lead with no alliances support has clean pipeline reporting for a channel that isn't generating any deals to report.

Cloud GTM success is measured across the following five metrics.

Marketplace-sourced and influenced revenue

Calculate how much closed revenue transacted through a marketplace (sourced), and how much closed revenue involved a co-sell referral or marketplace listing somewhere in the deal, even if it didn't transact there (influenced).

Tracking both numbers matters as the influenced revenue is usually larger and proves the co-sell relationship is doing work beyond the marketplace transaction itself.

Deal size and cycle time

Compare average deal size and time-to-close for marketplace/co-sell deals against your traditional sales motion.

Cloud GTM deals typically close faster, and in enterprise segments they tend to be larger. A Forrester Consulting study commissioned by AWS found that sellers on AWS Marketplace reported roughly 50% faster deal cycles and four to five times larger deal sizes. If yours don't, that's usually a sign private offers aren't being used, or co-sell referrals are arriving too late in the sales cycle to shorten it.

Co-sell win rate

Of the opportunities referred to or from a cloud provider's field team, what percentage close?

A low win rate on inbound co-sell referrals usually means the provider's reps are sending unqualified leads; a low win rate on outbound (deals you refer to them) usually means the referral isn't reaching the right rep or isn't being followed up.

Time-to-list and time-to-first-transaction

How long it takes to get a new listing live, and separately, how long from live to first paying customer.

A long gap between the two usually points to a discovery problem, which is that the listing exists but isn't visible in search, isn't co-sell-supported, or isn't being promoted by the field teams who could drive traffic to it.

Partner engagement

How many active co-sell relationships you have with named reps at each cloud provider, how often those reps are bringing you into deals proactively, and whether you're showing up in the provider's internal partner rankings or preferred-partner programs.

Partner engagement tends to lead the revenue numbers by a quarter or two, and it is far quicker to lose than to rebuild.

1. 1

   Prerequisites and internal alignment

   Get executive sponsorship, decide which cloud(s) to prioritize based on ICP fit, and confirm which teams own which piece before any technical work starts.

   This is also the point to handle account setup for AWS specifically. That means an active seller account and, if you're already an AWS partner, a migration to Partner Central.

   SaaSify runs this migration for free in 1-2 weeks with no engineering lift, which is worth knowing about before budgeting time for it manually.

2. 2

   Marketplace listing setup

   Package your pricing plans, End-User License Agreement (EULA), and support terms, then complete the technical integration for provisioning (and metering, if usage-based).

   When done manually, this typically takes four to eight weeks per cloud. Cloud platforms like SaaSify provide pre-built integrations that compress this to under two weeks with no custom engineering.

3. 3

   Offer management

   Stand up the process for building private offers - from who drafts them, who approves pricing exceptions, to how they get delivered and tracked - before the first enterprise deal needs one.

   Doing this reactively, mid-deal, is the most common reason private offers slip and stall a close.

4. 4

   Co-sell and partner motion

   Enroll in the cloud provider's co-sell program (AWS ACE, Microsoft's partner co-sell program, Google Cloud Partner Advantage), and set up the referral workflow between your CRM and the provider's system.

   This is where a CRM connector earns its keep: SaaSify offers AWS ACE connectors for both Salesforce and HubSpot, removing the need to re-enter the same opportunity in two places.

5. 5

   Metering and billing

   For usage-based products, connect your product's usage data to the cloud provider's metering API, and confirm your finance team can reconcile the resulting payouts against bookings in your own billing system.

6. 6

   Analytics, reporting, and optimization

   Get marketplace and co-sell data into the same pipeline reporting sales and leadership already use, and start tracking the KPIs covered earlier in this guide.

   Nothing in the earlier phases pays off if this phase doesn't happen. It's how the rest of the org finds out Cloud GTM is working.

7. 7

   Renewals and expansion

   Build a process for renewing marketplace contracts and private offers before they lapse, and revisit cloud prioritization periodically as pipeline data shows which cloud is actually converting.

Listing before you have a plan

Getting a product listed on AWS Marketplace is the easy part. But treating that listing as the strategy is the mistake. A listing with no co-sell plan, no pricing/packaging decisions beyond "match our website," and no owner past launch week tends to sit idle.

Underinvesting in alliance relationships

Cloud GTM revenue tracks closely with how strong your relationships are with named reps at each hyperscaler, not just whether you're enrolled in their co-sell program. Companies that treat the relationship as a one-time enrollment form, rather than an ongoing one, see referral volume drop off within a quarter or two.

Running co-sell and listing operations manually

Re-entering the same opportunity into AWS ACE (or the Azure/GCP equivalent) and a CRM by hand doesn't just cost time. It's the most common reason deals fall out of pipeline visibility: whichever system isn't updated becomes the wrong source of truth.

Ignoring multi-cloud too early or too late

Launching on all three hyperscalers simultaneously, before any one of them is producing repeatable revenue, tends to spread a small team too thin to do co-sell well on any of them.

The opposite mistake is staying single-cloud for years after your ICP has clearly shifted to a multi-cloud buyer base, which leaves revenue on the table just as directly.

Skipping post-listing marketing

A marketplace listing doesn't generate its own traffic. Buyers need a reason to search for it, and cloud provider field reps need sales collateral to bring it into their own conversations.

Poor CRM integration

When marketplace and co-sell data lives only in the cloud provider's console, sales leadership can't forecast it, RevOps can't report on it, and finance can't reconcile it. So it effectively doesn't exist to anyone outside the partnerships team.

This is the mistake most likely to make an otherwise well-run program look like it isn't working.

A Cloud GTM platform is software that automates the operational work of selling through cloud marketplaces - listing and offer management, co-sell workflows, metering and billing, and CRM syncing. It replaces work a team would otherwise run by hand across separate cloud provider consoles and spreadsheets.

It's not a replacement for a Cloud GTM strategy; rather, it is an operating layer that makes the strategy executable at scale.

A team can technically run Cloud GTM without one, and many do while running a single listing on a single cloud. But the manual coordination cost (re-entering opportunities, tracking offers in spreadsheets, reconciling payouts by hand) tends to become the actual bottleneck once a program grows past one cloud and a handful of deals a month.

Core capabilities

Most Cloud GTM platforms cover some combination of the following:

• Listing and offer management: creating and updating marketplace listings across AWS, Azure, and GCP from one place, and templating private offers instead of building each one from scratch.
• Co-sell automation: syncing opportunity referrals between the cloud provider's co-sell system (AWS ACE, Azure's partner co-sell tools, Google Cloud Partner Advantage) and a CRM, so deals don't need to be entered twice.
• CRM and tool integrations: pre-built connectors into Salesforce, HubSpot, and finance systems like NetSuite, rather than custom-built integration work.
• Reporting and analytics: a single view of marketplace and co-sell pipeline, revenue, and KPIs across clouds, instead of pulling separate reports from each provider's console.
• AI-assisted workflows: platforms using AI to handle steps like partner program migrations, offer drafting, or opportunity triage that used to require manual work.

What to look for when evaluating a platform

• Some platforms are strongest on AWS and treat Azure/GCP as secondary. Check depth, not just whether a cloud is listed as supported.
• Pre-built integrations versus custom API work can be the difference between a two-week and a two-month launch.
• Syncing opportunities in only one direction (into the CRM, but not back out to the provider's system) recreates the manual double-entry problem it's meant to solve.
• A "Salesforce integration" can mean a deep, field-level sync or a basic one-way data push; the difference matters once RevOps starts building reports on top of it.
• Flat platform fee versus a percentage of marketplace revenue, and whether that percentage changes as revenue scales.

SaaSify pairs an agentic Cloud GTM platform with hyperscaler operators who run the motion alongside your platform, agents, people, and funding in one engagement, rather than handing over a dashboard and leaving co-sell, funding, and reconciliation to your team.

500+ ISVs run marketplace revenue through SaaSify, with $5B+ in marketplace revenue managed and 1,000+ live listings across AWS, Azure, and GCP. Listings are agent-drafted and filed in about 90 minutes, with a first listing live in under two weeks and most full engagements running in two to four weeks.

There's no revenue share on marketplace revenue closed, and eligible engagements can be offset by up to $75K in AWS funding.

SaaSify is SOC 2 Type 2 and ISO 27001 certified with GDPR-ready data handling and AWS Vendor Insights Verified status. Salesforce and HubSpot get full native support, with Dynamics 365, Zoho, and Pipedrive supporting core create-and-track actions.

For teams that would rather not run marketplace operations in-house at all, the Managed Cloud Desk runs listings, co-sell, funding, and reconciliation as an extension of the team.