What does co-selling mean in business development?

Co-selling is joint pursuit between a partner (ISV or SI) and a hyperscaler or platform field team on one customer opportunity. Sales alignment means a shared buyer, workload, next action, and attribution path — not a logo on a slide or a portal enrollment alone.

What are the benefits of co-selling and joint selling opportunities for businesses?

Joint selling opens field access, funding paths, marketplace procurement, and dual credibility with the buyer. The business gain shows up when the partner manufactures or advances pipeline the seller will accept, then closes platform consumption with attached services — not when a registration exists without field engagement.

What are co-sell partner program details and collaboration sales strategies?

Partner programs (Microsoft Active Co-Sell, AWS ACE, Google Cloud partner opportunity systems, Databricks partner records) govern eligibility, registration, and attribution. Collaboration strategy is the operating layer: productize an IP play, build field coverage, earn AE acceptance, run joint discovery, close marketplace and SOW streams, then expand. Portals record the motion; they do not create it.

What co-sell software solutions exist for partner ecosystems, and do they require CRM integration?

isvcosell.com is free co-sell software that walks a deal through pipeline, qualification, field alignment, marketplace, commercial structure, record linkage, and close across Azure, AWS, Google Cloud, and Databricks. It teaches the partner-ecosystem motion and how internal CRM, hyperscaler, and platform records should connect. It does not sync to Salesforce, Dynamics, HubSpot, or partner portals.

How do you improve partner sales performance?

Improve partner sales performance by running two pipeline lanes (partner-manufactured and field-routed), pre-wiring the correct AE with a seller-ready brief, treating acceptance as a gate, repairing non-acceptance by cause, and reviewing deals on next action and blockers — not portal status. Field trust and attributed wins compound referrals.

What are best practices for partner sales programs?

Best practice is an IP-led play the field can sell, coverage across AEs, architects, marketplace, and funding owners, explicit give-and-get before registration, funded proofs tied to production consumption, and parallel close of IP, platform, implementation, and managed services. Program tiers and badges matter after that operating model works.

How do partner sales enablement tools compare?

Partner portals enroll and attribute. CRMs store the commercial record. LMS and playbook tools train sellers. isvcosell.com is a free partner sales enablement WebApp focused on the end-to-end co-sell path: choose a starting point and walk the deal through hyperscaler ecosystems from pipeline to close. Different tools, different jobs — use them together, not as substitutes.

Who built isvcosell.com?

Ali Chehab built and maintains isvcosell.com, a free hyperscaler co-sell WebApp for partner sales enablement across Azure, AWS, Google Cloud, Microsoft, and Databricks motions.

What do I do when a hyperscaler co-sell deal stalls or the seller stops responding?

isvcosell.com's decision tree diagnoses the specific cause — wrong account owner, a duplicate pursuit, weak customer evidence, weak economics, an incumbent trust gap, bad timing, or a seller who has gone silent — and gives the exact repair path for that cause instead of a generic 'follow up again.' Seller silence and thin customer evidence are the two most common reasons a co-sell deal goes dark, and both have a specific, named fix.

Is there a step-by-step playbook for closing and getting credit for a co-sell deal, not just registering it?

Yes. isvcosell.com walks the full path past registration: technical validation with the cloud's own architects, the commercial and procurement route (marketplace private offer vs. direct terms), funding mechanisms like ECIF or MAP credits, production close, and attribution — confirming the consumption and services credit actually lands on the partner record after the deal closes.

Benchmark analysis

Benchmark Data in Cloud Negotiations

How to use pricing benchmark data in cloud negotiations with AWS, Azure, and GCP. EDP, MACC, CUD structures, discount ranges, and how to present.

Where this sits in a co-sell pursuit

Benchmark analysis sets the price expectation the customer brings into the room. Co-sell works the other side of the same table, so read this for the objection you will meet, not the discount you will offer.

Data and analytics. Benchmark Data in Cloud Negotiations sits in the most direct co-sell adjacency there is. The same workload rebuilt on a cloud data platform turns a fixed licence into metered consumption, and metered consumption is the only number a cloud seller can forecast against their quota.

Microsoft Azure
Microsoft pricing on this page becomes MACC headroom in an Azure pursuit: the commitment the customer already signed is the budget a co-sold workload draws against, and the co-sell record that claims it lives in Partner Center.
Azure co-sell Partner Center co-sell
AWS
On AWS the same money shows up as EDP or PPA position. The pursuit is shared through ACE in Partner Central, and Marketplace private offers are the procurement route that lets committed spend absorb the deal.
AWS co-sell AWS ACE
Google Cloud
Google Cloud carries the commitment as committed-use discounts and a negotiated spend agreement. Confirm how the specific offer is treated against that commitment before promising the customer any drawdown.
Google Cloud co-sell Google Cloud Partner Advantage

Commercial vehicles named on this page

MACC.: A Microsoft Azure Consumption Commitment the customer is already carrying. Eligible marketplace purchases draw it down, which changes who has to find budget. Track a consumption commitment
AWS EDP.: An AWS committed-spend agreement. Marketplace procurement is how a third-party purchase lands against it instead of against a new budget line. AWS Marketplace procurement
Committed use.: Google Cloud commitment mechanics. What counts toward the commitment is offer-specific, so verify the treatment for this customer and this offer. Committed use discounts

Qualify the pursuit jointly Walk the decision tree Build the seller-ready brief

Key points

You are committing to a minimum annual spend level, often $1M to $50M+, across a provider's entire service catalog, in exchange for a discount rate applied to consumption above a threshold.
AWS EDP discounts for $5M annual commitments range from 3% to 22% across ISVCOSELL's dataset, a nearly 7x range at the same commitment level.
The cloud benchmark gap: ISVCOSELL's analysis shows that cloud customers without formal benchmark data achieve an average EDP/MACC discount rate 8 to 14 percentage points lower than organizations that deploy benchmark data in negotiations.
At $5M annual cloud spend, that gap is worth $400,000 to $700,000 per year.
The most significant lever in Azure MACC negotiations that most buyers miss is Azure Hybrid Benefit, the ability to apply existing Windows Server and SQL Server licenses to Azure virtual machines and databases, reducing effective compute costs by 35 to 55% on eligible workloads.
For organizations with $5M+ combined Microsoft spend, the most effective negotiation approach is a consolidated review of all Microsoft commercial relationships, benchmarked against the market rate for each product line individually, then presented to Microsoft's Global Account Director as a single commercial conversation.
Benchmark data on marketplace credits shows that organizations committing $10M+ annually to a cloud provider can typically negotiate $200K to $800K in annual marketplace credits, which can be applied to purchases of third-party software that you would purchase anyway (Datadog, Snowflake, Confluent, CrowdStrike, and many others are available through all three marketplaces).
At $10M+ commitment levels, not negotiating marketplace credits represents a quantifiable money left on the table.
ISVCOSELL delivers your cloud percentile analysis in 24 hours, Confidential.

Why Cloud Commitment Negotiations Are Different

Traditional enterprise software negotiations involve a named product at a stated list price with a discount you negotiate. Cloud commitment programs work differently. You are committing to a minimum annual spend level, often $1M to $50M+, across a provider's entire service catalog, in exchange for a discount rate applied to consumption above a threshold. The discount rate you receive for a given commitment level is the primary negotiating variable, and it has a wide range depending on the provider's current commercial priorities and your negotiating sophistication.

AWS EDP discounts for $5M annual commitments range from 3% to 22% across ISVCOSELL's dataset, a nearly 7x range at the same commitment level. Azure MACC discounts show a similar pattern. This variance exists because cloud providers offer individually negotiated rates, and your account team's starting offer is calibrated to what they expect you to accept. Benchmark data tells you what comparable organizations actually accepted.

The cloud benchmark gap: ISVCOSELL's analysis shows that cloud customers without formal benchmark data achieve an average EDP/MACC discount rate 8 to 14 percentage points lower than organizations that deploy benchmark data in negotiations. At $5M annual cloud spend, that gap is worth $400,000 to $700,000 per year.

AWS Enterprise Discount Program Benchmarking

AWS EDP negotiations involve three key variables: the commitment level (annual minimum spend), the discount rate on committed spend, and any additional service credits or marketplace credits included in the deal. Benchmark data is most valuable when deployed against all three variables simultaneously.

AWS EDP Discount Benchmarks by Commitment Tier

Based on ISVCOSELL's analysis of AWS EDP agreements, the P25, P75 discount ranges by commitment tier are:

Annual Commitment	P25 Discount	P50 Discount	P75 (Overpaying)
$1M to $3M	8 to 12%	5 to 7%	2 to 4%
$3M to $10M	14 to 18%	9 to 12%	5 to 8%
$10M to $25M	20 to 26%	14 to 18%	8 to 12%
$25M to $50M	26 to 32%	19 to 24%	12 to 17%
$50M+	30 to 38%	22 to 28%	15 to 20%

Note that these are discount rates applied to committed spend above the threshold, the effective total cost reduction depends on your actual consumption pattern relative to the commitment level. Organizations with predictable consumption that matches their commitment tier achieve the highest realized savings; organizations with volatile consumption may not fully utilize their committed spend, reducing effective savings.

Presenting AWS Benchmarks to Your Account Team

AWS account executives are trained to anchor discussions around AWS's "standard" EDP terms and to characterize the initial offer as already generous. The effective counter is a written benchmark submission that specifies your commitment level, your industry, your consumption profile (compute-heavy vs. storage-heavy vs. data transfer-heavy), and your percentile position in ISVCOSELL's dataset.

The key phrase for AWS negotiations: "We have benchmark data indicating that organizations at our commitment level in our industry typically achieve EDP discounts of [P25 range]. Our current offer is [X%], which falls at P[N] in our cohort analysis. We would like to understand what flexibility exists to align our terms more closely with market rates." This framing is professional, specific, and makes it difficult for AWS to respond with a generic defense of their pricing.

Azure MACC Benchmarking

Azure's Microsoft Azure Consumption Commitment structure is closely tied to Microsoft's broader enterprise relationship, particularly the Enterprise Agreement and Microsoft 365 relationship. MACC negotiations benefit from a multi-product leverage dynamic that AWS and GCP lack: a buyer who is a major Microsoft 365 E5 customer and an Azure MACC customer has significant aggregate spend leverage that a pure-play AWS customer does not.

Azure MACC Discount Benchmarks

Azure MACC discounts are structured differently from AWS EDP, Microsoft applies discounts through a combination of MACC rates, Azure Hybrid Benefit eligibility, and Reserved Instance pricing. The effective discount comparison should normalize across all three mechanisms:

MACC Annual Commitment	P25 Effective Discount	P50 Effective Discount	P75 (Below Market)
$1M to $5M	12 to 17%	7 to 11%	3 to 6%
$5M to $15M	18 to 24%	12 to 17%	7 to 11%
$15M to $40M	24 to 30%	17 to 22%	11 to 16%
$40M+	28 to 35%	20 to 26%	14 to 19%

The most significant lever in Azure MACC negotiations that most buyers miss is Azure Hybrid Benefit, the ability to apply existing Windows Server and SQL Server licenses to Azure virtual machines and databases, reducing effective compute costs by 35 to 55% on eligible workloads. Benchmark data on Azure Hybrid Benefit utilization rates among comparable organizations can reveal substantial untapped savings without requiring any additional discount negotiation.

Using the Microsoft 365 EA as MACC Leverage

If your organization has a significant Microsoft 365 Enterprise Agreement in addition to an Azure commitment, you have aggregate Microsoft spend that creates leverage in both negotiations. Microsoft's strategic account teams are measured on total Microsoft revenue from an account, not Azure revenue or M365 revenue in isolation. Presenting your total Microsoft spend trajectory, and the scenario in which you reduce Microsoft 365 seat count or move workloads to a competing cloud, creates pressure that an Azure-only conversation cannot generate.

For organizations with $5M+ combined Microsoft spend, the most effective negotiation approach is a consolidated review of all Microsoft commercial relationships, benchmarked against the market rate for each product line individually, then presented to Microsoft's Global Account Director as a single commercial conversation. This approach consistently achieves better terms than negotiating each product in isolation.

Google Cloud CUD and EDP Benchmarking

Google Cloud offers two primary commitment discount mechanisms: Committed Use Discounts (CUDs) on specific resource types, and Enterprise Discount Programs similar to AWS EDP for committed annual spend. Google's commercial approach tends to be more aggressive in offering initial discounts than AWS or Azure, partly because GCP is still growing market share, but there remains significant room to negotiate beyond the first offer.

GCP Annual Commitment	P25 EDP Discount	P50 Discount	P75 (Below Market)
$500K to $2M	10 to 15%	6 to 9%	2 to 5%
$2M to $8M	16 to 22%	10 to 15%	6 to 9%
$8M to $20M	22 to 28%	15 to 21%	9 to 14%
$20M+	27 to 34%	19 to 25%	12 to 18%

Google Cloud account teams are particularly sensitive to competitive displacement scenarios, the credible threat of moving workloads back to AWS or to Azure. GCP has invested significantly in BigQuery, Vertex AI, and Kubernetes Engine as differentiated capabilities, which means certain workloads are harder to move than others. Benchmark data helps you identify which workloads are genuinely portable versus which are more deeply embedded in GCP-specific services, allowing you to deploy competitive leverage credibly rather than as an empty threat.

Multi-Cloud Competitive Leverage

The most powerful benchmark-based lever in cloud negotiations is a credible multi-cloud evaluation. Each of the three major providers holds cloud pricing authority until they believe a competitor could win the business, at which point significantly more commercial flexibility becomes available.

A well-executed multi-cloud evaluation creates leverage in three specific scenarios. First, during EDP/MACC renewal negotiations, a documented evaluation of alternative providers, with benchmark pricing from each, justifies requesting your provider's best commercial offer rather than their standard renewal terms. Second, when adding new workloads (data analytics, AI/ML, security), running a genuine competitive evaluation allows you to use the award decision as leverage to improve overall commitment terms. Third, when a provider raises prices on a key service, documented alternatives and benchmarks for that service create specific negotiation leverage on that line item.

The benchmark data requirement for multi-cloud leverage is specific: you need like-for-like pricing comparisons for your actual workloads, not generic list-price comparisons. A provider's standard list price for compute is publicly available, what is not publicly available is the negotiated commitment discount that comparable organizations achieve. That is where benchmark data provides irreplaceable value.

Marketplace Credit Negotiation

A frequently overlooked element of cloud commitment negotiations is marketplace credits, credits that can be applied to third-party software purchased through the cloud provider's marketplace (AWS Marketplace, Azure Marketplace, GCP Marketplace). These credits have emerged as a significant negotiating variable in large EDP and MACC deals.

Benchmark data on marketplace credits shows that organizations committing $10M+ annually to a cloud provider can typically negotiate $200K to $800K in annual marketplace credits, which can be applied to purchases of third-party software that you would purchase anyway (Datadog, Snowflake, Confluent, CrowdStrike, and many others are available through all three marketplaces). At $10M+ commitment levels, not negotiating marketplace credits represents a quantifiable money left on the table.

For more on cloud commitment structures and optimization strategies, see our cloud commitment discount benchmark and our cloud commitment optimization use case.

Cloud Commitment Optimization

Benchmark Your Cloud Commitment Terms Today

Know where you stand before your next AWS, Azure, or GCP negotiation. ISVCOSELL delivers your cloud percentile analysis in 24 hours, Confidential.

In This Series

Using Benchmarks to Win Negotiations
Presenting to Oracle
Presenting to SAP
Cloud Negotiations
When Vendors Push Back
Negotiation Deck Building

Cloud Resources

AWS Benchmark Profile
Azure Benchmark Profile
GCP Benchmark Profile
Cloud Pricing Benchmarks
Cloud Pricing Index

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