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.

Research

Cloud FinOps, Spend Optimization

Free research: Cloud FinOps Benchmark. How enterprises optimize cloud spend. Primary data from 400+ organizations on cloud waste.

Where this sits in a co-sell pursuit

Method notes behind the numbers. Worth reading before you quote a benchmark to a customer or a seller, because the first question either one asks is where the figure came from.

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

Co-sell pursuit flow Walk the decision tree Build the seller-ready brief

Key points

Yet despite the maturation of the FinOps Foundation's framework and the proliferation of cloud cost tools, the variance in enterprise program effectiveness remains enormous, the gap between the top quartile and bottom quartile of cloud optimization performance represents 20 to 40% of total cloud spend.
The report's Chapter 5 includes benchmark discount ranges by EDP commitment tier, Azure MACC structure comparison data, and a negotiation framework for both platforms, the same framework used by ISVCOSELL's cloud advisory practice in $6B+ of benchmarked cloud commitments.
We improved our discount rate by 11 percentage points on a $22M commitment.
That's not a rounding error, that's $2.4M in savings over the term, documented and defensible.".

Benchmark Your Cloud Optimization Against 400+ Programs

Cloud FinOps has matured from a niche engineering practice into a board-level cost management discipline. Yet despite the maturation of the FinOps Foundation's framework and the proliferation of cloud cost tools, the variance in enterprise program effectiveness remains enormous, the gap between the top quartile and bottom quartile of cloud optimization performance represents 20 to 40% of total cloud spend. This report gives you the benchmarks to know where you stand.

Using direct engagement data from 400+ enterprise cloud programs across AWS, Azure, and GCP, combined with FinOps Foundation survey data and ISVCOSELL's own cloud commitment benchmarking database, we quantify cloud optimization program performance across five dimensions: commitment coverage, waste rate, discount attainment, engineering efficiency, and governance maturity. The result is the most detailed enterprise FinOps benchmarking dataset available in a freely accessible format.

Beyond the benchmarks, the report addresses the structural reasons why FinOps programs underperform, and the specific interventions that move organizations from crawl to walk to run on the FinOps maturity scale. Cloud vendor commercial strategies, particularly AWS EDP and Azure MACC, are examined in detail: how the commitment structures work, what top-quartile organizations actually pay relative to on-demand, and how to negotiate commitment-based discounts without over-committing. This content is in Chapter 5 and is the most frequently cited section by enterprise cloud leaders using the report.

23%

Average cloud waste rate at median FinOps maturity

Cloud waste rate at top-quartile FinOps maturity

34%

Average discount vs. on-demand via commitment deals

FinOps Maturity Framework: How We Define and Measure Program Effectiveness
Cloud Waste Rate Benchmarks: What "Normal" Actually Looks Like
Commitment Coverage Benchmarks: RI, Savings Plans, CUD, EDP, MACC Comparison
Discount Attainment Benchmarks: What Enterprises Actually Pay vs. On-Demand
AWS EDP and Azure MACC: Commitment Negotiation Benchmarks and Strategies
Cloud Cost Governance: How Top Programs Maintain Discipline at Scale
Multi-Cloud FinOps: Managing Optimization Across AWS, Azure, and GCP
FinOps Tooling Benchmarks: What Tools Top Programs Use and Why
The Business Case for FinOps Investment: ROI by Maturity Level
Advancing Your Program: From Benchmark Data to Actionable Roadmap

FinOps Performance Benchmarks by Maturity Level

Maturity Level	Cloud Waste Rate	Commitment Coverage	Avg. Discount vs. On-Demand
Crawl (Foundational)	32 to 40%	15 to 30%	8 to 15%
Walk (Developing)	18 to 28%	35 to 55%	18 to 25%
Run (Optimized)	8 to 14%	62 to 78%	28 to 38%
Top Quartile (Best-in-Class)	Key Finding on AWS EDP: The median AWS EDP commitment in the report's dataset is $18M over three years, but the median organization is achieving only 24% discount versus on-demand, well below the 34% that top-quartile EDP negotiators achieve. The difference is almost entirely attributable to negotiation sophistication: organizations that enter EDP discussions with benchmark data on peer discount rates and commitment-to-benefit ratios consistently achieve materially better terms than those who accept AWS's initial offer without resistance.

The report's Chapter 5 includes benchmark discount ranges by EDP commitment tier, Azure MACC structure comparison data, and a negotiation framework for both platforms, the same framework used by ISVCOSELL's cloud advisory practice in $6B+ of benchmarked cloud commitments.

"We went into our AWS EDP renewal with this benchmark data and the ISVCOSELL cloud commitment analysis. We improved our discount rate by 11 percentage points on a $22M commitment. That's not a rounding error, that's $2.4M in savings over the term, documented and defensible."

Director of Cloud Infrastructure, Global Financial Services Enterprise

All Research

Pricing data and source text from the VendorBenchmark library. Co-sell reading is this site’s.

Key points

Benchmark Your Cloud Optimization Against 400+ Programs

Table of Contents

FinOps Performance Benchmarks by Maturity Level