Co-Sell Execution System
(Microsoft + Services, ISV, & Distribution Channel)
Equity You Control, Currency Sellers Use
Co-sell is a "Lego" build: Microsoft (and cloud providers) watches for the finished model — wins, attach, transactability — but that model only stands when the blocks are in place. Solution designations and specializations (the baseplate), published Marketplace offers and solution plays (the outer shell), attached to every outbound referral (the studs that lock pieces together), and disciplined sales engagement methodology, like Microsoft's "MCEM", to convert attention into wins.
When those blocks connect in the right order, equity compounds — and you move from “we can” to “we did, repeatedly.”
It’s like composing music: every block, like every note, matters. Put them in the right sequence, and what might seem like noise becomes harmony — and the ecosystem scales with impact.
Build the Right Blocks. Win the Right Deals.
Building Your Co-Sell Execution System
With services delivery capabilities and an abundance of ISV application choices, the gap is typically execution rigor: disciplined referral hygiene, services & transactable offers, measurable MACC consumption (with Azure ISV partners), and repeatable consistency. Build a system to drive results with Microsoft, your sellers, and your channel.
Where do we go from here?
Start where impact is most critical to your success with Microsoft in FY26. Run Enablement to teach and activate, or Enablement + Build to operationalize Partner Center + CRM so the system runs on its own. Everything is modular and compounding.
Engagement modes
  • Enablement Sprint (4–6 weeks) — Workshops + toolkits to move sellers and GTM now.
    Outcome: fluent in co-sell mechanics, first referrals moving.
  • Execution Build (90 days) — Create operational efficiency in the control plane of Partner Center, build & publish marketplace offers (transactable/MPO), and stand up weekly co-sell rhythm.
    Outcome: measurable lift in accepted referrals, attach %, % transacted/MACC, and deal close time.
  • Full Program (Quarterly cadence) — Continue ops run, automation, deal desk, dashboard, and QBRs.
    Outcome: durable, scalable co-sell engine across Arrow + channel.
Why Most Co-Sell Programs Fail (And How to Build One That Actually Works)
I've spent 15 years watching partner programs launch with big promises and die quietly six months later. The pattern is always the same: great kickoff deck, excited partners, field sellers who nod politely—and then nothing happens.
The problem isn't the technology. It's not the partners. It's that most companies treat co-sell like a campaign instead of a system. They dump all the moving parts on the table—designations, offers, referrals, coverage models, enablement—like a box of Legos dropped on the floor, and expect everyone to figure out what to build.
At Microsoft, I built partner programs that drove $250M+ in influenced pipeline, added $1.46M/month in recurring revenue, and scaled from 50 to 500+ active partners. Not because I had a magic pitch deck, but because I understood orchestration. I spent years as an aspiring musician before tech, and I learned something critical: individual excellence means nothing if everyone's playing a different tempo. Co-sell is the same—you need every part moving together, same page, same rhythm, building equity that compounds over time.
Equity You Control, Currency Sellers Use
Co-sell is a Lego build. Cloud providers and partners watch for the finished model—wins, attach rates, transactability—but that model only stands when the foundational blocks are in place. Solution designations and specializations (the baseplate), published Marketplace offers and solution plays (the outer shell), attached to every outbound referral (the studs that lock pieces together), and disciplined sales methodology hygiene (like MCEM) to convert attention into wins.
When those blocks connect, equity compounds—and you move from "we can" to "we did, repeatedly."
It's like composing music: every block, like every note, matters. Put them in the right sequence, and what might seem like noise becomes harmony. Skip a block, and the whole structure collapses.
The Co-Sell Execution System
Real co-sell execution comes down to five connected pieces. Each one builds equity that sellers and marketers can actually use. Miss one, and the orchestration falls apart.
Build the Offer. Most partners show up with "we do Azure" or "we do it all." That's not an offer—that's a capability statement. An offer answers: What customer problem does this solve? What's the deployment motion? How much of the cloud provider’s platform will be consumed? What does the field seller say in the pipeline review? I've built over 50 co-sell solutions for the Microsoft marketplace, and the ones that worked had specific use cases, clear ROI, and a path to transact. The ones that didn't? They stayed in PowerPoint. This is your baseplate—everything else builds on top of it.
Target with Data Insights. Field sellers have 200 accounts and competing priorities. If you ask them to "look for opportunities," they won't. But if you hand them a list of 15 accounts with high propensity to buy—accounts where the customer already uses related technology, has budget in motion, or is coming up for renewal—they'll pay attention. I built propensity models that surfaced churn risk and growth potential across partner portfolios. That's what moved the conversation from "let me know if you see something" to "here are three accounts we're working this quarter." Data is how you orchestrate focus—everyone looks at the same accounts, same tempo.
Co-Sell Equity Engine. This is the part nobody wants to talk about because it's boring: Partner Center hygiene, MCEM stages, deal registration workflows, solution & specialization designations, referral IDs. But this is what makes you selectable. This is your equity—the accumulated proof that you're not just capable, but ready. When a field seller opens CRM and sees your partner profile with the right specializations, attached referrals, and transactable offers with win rates, you're not competing on hopeful relationships anymore—you're competing on infrastructure. I've seen partners lose deals not because they weren't capable, but because their Partner Center setup was a mess and the seller didn’t want to trust a “ZERO” win rate percentage for their solution offer. All the Lego blocks exist, but they're not connected.
Activate the Field. You can have perfect offers and clean data, but if the field doesn't know you exist, nothing happens. In music, everyone needs time to work on their craft in isolation or small groups—but to be "known," you have to bring that development back into the larger ensemble so the right stakeholders hear your excellence. Co-sell is the same. Activation means coverage assignment (who owns this partner relationship?), seller enablement (what do I say to my customer?), and creating urgency (why now?). I've led and owned various accelerated learning series spanning 30-100+ partners per session, every week or month—because one-off enablement doesn't stick. You need repetition, real examples, and proof that other sellers are winning with you. Every co-sell play needs a named PDM, AE, geo assignment, and partner coverage model. That's orchestration—making sure every player knows their part and when to come in. Without named coverage and a repeatable enablement rhythm, even the best offers sit idle while sellers chase what they already know.
Convert & Expand. The last piece is execution discipline: joint pipeline reviews, deal registration that doesn't create conflict, tracking what converts and what dies, and building expansion plays off wins. I influenced $250M in pipeline by staying in the details—weekly deal reviews, clear next steps, and ruthless measurement of what was working. Most programs celebrate the kickoff and forget to inspect beyond the pipeline. The partners who win are the ones who show up every week with sourced-deal updates, pipeline additions, and closed business. This is where equity turns into currency—where all those connected Lego blocks become actual revenue.
Build. Run. Measure. Ask.
Here's the operating rhythm I use for each part of the system:
Build means creating the asset—whether that's an offer, a target account list, a Partner Center profile, enablement content, or a pipeline dashboard. You're assembling the Lego blocks.
Run means putting it into production. Launch the offer with coverage assigned. Share the target list with sellers. Get the marketplace offer live. Deliver the proof of value. Start the pipeline reviews. You're conducting the orchestra.
Measure means tracking what's actually happening. How many referrals registered? How many field sellers engaged? What's converting? What's stuck? Where are we losing? You're listening – but is it music?
Ask means interrogating your own readiness: If a customer asks today, how fast can we respond? If a seller wants to route a deal, is the workflow simple? If a partner wants to transact, is everything in place? You're stress-testing the structure before you ask anyone else to trust it.
Most partner programs skip the "Ask" part and wonder why execution is slow. You have to know your system works before you hand it to the field.
Why I'm Writing This
Over the next week, I'll be breaking down each part of this system in detail—one piece per day, practical and tactical. I'm doing this because too much partner content is theory. There are plenty of blog posts about "alignment" and "joint value props." What's missing is the execution—the real work of building these systems and making them run.
I've lived this. I've seen what works, what wastes time, and where programs break down. I've built propensity models that found the right accounts, cleaned Partner Center profiles that unlocked deals, and run pipeline reviews that turned "maybe" into closed business. I've also made mistakes—launched offers that didn't land, built enablement nobody used, and watched good ideas die because the infrastructure wasn't there.
The game is also changing fast. AI is evolving how referrals happen, how we target accounts, and how sellers interact with partner ecosystems. What worked two years ago needs adjustment today. The fundamentals stay the same—build equity, orchestrate execution, measure relentlessly—but the tactics have to evolve.
So I'm sharing what I know. The information is free. The execution is difficult because that’s where the work happens—and that comes from having done it, adjusted it, and done it again. If you're building partner programs that need to actually work, follow along this week. I'll show you the blocks, how they connect, and what to ask yourself before you go live.
Why This Matters Now
Co-sell used to be a nice-to-have. Now it's table stakes. Hyperscalers require it. Customers expect it. Sellers are measured on it. But most companies still treat it like a partnership team problem instead of a revenue operations problem.
The partners who win—and the vendors who scale through partners—are the ones who stop talking about "alignment" and start building systems. Systems where all the moving parts work together. Systems that create equity field sellers can use. Systems that turn individual excellence into orchestrated execution.
I've built and seen systems that work and waste time. And the difference always comes down to execution: Are you connecting the Lego blocks, or are you just admiring the pieces?
If you're serious about co-sell, stop treating it like a campaign. Build a system. Connect the blocks. Orchestrate the execution. And build equity that compounds.
Step 1: Build the Offer
Build:
Nail the pain + mapped solution workload; published transactable offer or optimized for Co-Sell services (plans/ pricing/ private offer/ MPO/ certified software).
Run:
Produce the GTM kit with 1-pager, 90-sec explainer video, website landing page, content strategy, ROI calculator, demo path.
Measure:
Seller activation, demo requests, Incentives approvals.
“What must be true for a Microsoft seller to put this in front of a customer tomorrow and know our solution and value proposition drives mutual success?"
Deliverables: 2–3 seller-ready offers, price/pack, marketplace offers which may be transactable/MPO in design, 1-pager, 90-sec explainer, ROI calc.
KPIs: seller activations, demo requests, incentive approvals.

Marketplace as Sales Channel, Not Procurement
Software companies leave revenue on the table by misunderstanding how Microsoft Marketplace actually drives sales. When customers purchase through Azure Marketplace, Microsoft reps earn quota credit and help customers apply MACC commitments (Enterprise Agreements). This transforms Marketplace from a procurement tool into an active sales channel.
Most partners treat Marketplace like a product catalog—they list solutions and wait, or worse yet they forget and never look back. The real opportunity lies in positioning offers to incentivize Microsoft sellers. When configured correctly, your solution becomes something Microsoft actively promotes.
Three Critical Moves to Explore
Transactable, MACC-eligible offers enable Microsoft reps to earn commission and help customers draw down commitments.
Certified software with co-sell readiness elevates priority in Microsoft's seller ecosystem.
Streamlined buying path through private offers (24-48 hour turnaround) drives genuine engagement from the field and your priority ISVs.
Stop treating Marketplace like a dusty shelf. Configure it as a sales channel. Show Microsoft reps their compensation path, simplify the purchase process, and engage actively.
Bundle Strategy
For distributors with a Channel business, or MSPs with access to a portfolio of collaborative applications, bundle ISV transactable SKUs with professional and managed services:
  • Publish bundle offers mirroring ISV Marketplace content with private offer pricing
  • Secure CPOR for services and map bundles to Partner Center/CRM using offer IDs
  • Provide channel kits including white-label collateral, pricing frameworks, and private offer request processes
This approach transforms traditional technology implementation and channel distribution into active marketplace revenue generation.
Step 2: Target with Data Insights
Build:
Named-account lists by region/segment using propensity signals (consumption trends, workloads in place, usage gaps, incidents, industry triggers).
Run:
“Why this account, why now” analysis models + outreach scripts for AEs/SSPs/PDMs; next-logical-workload plays based on Land & Expand methodology.
Measure:
Referral acceptance %, meetings set, initial solution-attach rate.
“If we can only pursue 10 accounts this quarter, which accounts have the highest probability to add workloads?”
Deliverables: Top-50 accounts in US (Azure & M365 workloads, renewals, MACC and ISV opportunities), “why now” briefs, outreach story development.
KPIs: referral acceptance %, meetings set, initial attach rate.

Target with Data Insights: Signal-Based Field Focus
Direct your GTM and seller effort toward highest-probability attach or net-new opportunities using consumption patterns, workload gaps, and commercial pressures. Transform signals into targeted, persona-specific outreach. The use of AI tools like Copilot and Chat GPT play an important role in analyzing signals and market pressures on your prospects - before you have the first meeting.
Critical Signals for Targeting
Consumption trends reveal growth trajectories across Azure services—Compute, Storage, Networking, SQL, App Services, AI/ML. Growth patterns indicate expansion readiness and budget availability.
Workload gaps expose attach opportunities. VM sprawl without Defender for Cloud, absent Sentinel deployments, or legacy SQL on IaaS signal security and modernization needs.
AI readiness indicators combine heavy SQL/IaaS footprints with GenAI discussions. This signals PaaS modernization opportunities through Azure SQL MI/DB, governance via Purview, and Fabric/AI use cases.
Risk triggers include low first-party security adoption, recent incidents, audit findings, and compliance deadlines. These create urgency and budget allocation.
Commercial pressure points focus on MACC balance timing, EA renewal windows, and Marketplace purchase history. These drive decision velocity.
When direct consumption data isn't available, use proxies: renewal dates, hiring patterns, public job postings, partner-shared architecture reviews, and seller intelligence. Leverage your AI tools and create and train Agents to do this research for your teams.
Propensity Scoring Model
Build a Top-50 target list per region using weighted scoring aligned to your sales motion:
Propensity Score (0-100) = 25×Consumption Growth + 20×Workload Footprint + 15×Security Gap + 15×Data Modernization Need + 15×MACC Pressure + 10×Renewal Urgency
Scoring criteria (0-5 scale):
  • Consumption Growth: >20% quarterly = 5; flat = 2; declining = 1
  • Workload Footprint: Service breadth across VMs, SQL, Storage, Networking, PaaS
  • Security Gap: High when VMs/SQL present without Defender/Sentinel
  • Data Modernization Need: High for SQL-on-VMs + GenAI interest; medium for mixed; low for PaaS-native
  • MACC Pressure: Large balances expiring within 2 quarters = 5
  • Renewal Urgency: EA/commit renewals within 6 months = 5
Include coverage fields so that execution is real: assign PDM, AE/SSP, district, and partner coverage to enable real field activation.
Step 3: Co-Sell Equity Engine
Build:
Automate Partner Center to CRM synchronization so every opportunity carries its DNA — owner, workload, offer ID, and MACC flag. Enforce solution offer attachment and MCEM stage gating so incentives map cleanly to specialization ROI.
Run:
Operate with hygiene discipline. Capture PAL/CPOR attribution, manage private offers, enforce weekly SLAs (accept ≤48h, update ≤7d). Build trust through data accuracy, not manual heroics.
Measure:
Track accepted referrals, median days to close, attach compliance (≥95%), % transacted, and specialization ROI. These are Microsoft’s barometers of your co-sell maturity.
"Which metrics are measured by Microsoft to evaluate our potential to effectively win deals Co-Selling with their teams, and are we building the right Lego blocks?"
Deliverables: setup automation for referrals from your CRM to Partner Center (owner/MS seller/workload/offer ID/MACC flag), attach co-sell ready solution to every referral habit, MCEM process hygiene.
KPIs: accepted referrals, median days accepted→won, attach ≥95%, % transacted/MACC.

Co-Sell Equity Engine: Control Your Microsoft Scorecard
In the Microsoft ecosystem, your Partner Center data is your reputation.
Every referral, every attached offer, every update builds digital equity that determines how Microsoft sellers view you — reliable or risky, co-sell ready or not.
Partner Center integrated with CRM becomes your control plane for Microsoft field credibility. Partners determine their leaderboard position through referral quality, offer attach discipline, MCEM hygiene, and accurate win/loss reporting of their opportunities AND co-sell ready solution offers. At scale, this requires automated CRM thru to Partner Center synchronization with governance.
Microsoft's Scorecard Metrics
Referral performance: Volume created, acceptance rate, median days to acceptance. Quality beats quantity when acceptance rates exceed 80%.
Attach discipline: Percentage of referrals with solution offers attached, stage progression freshness, notes quality. Microsoft prioritizes partners who consistently attach transactable offers.
Sales velocity: Median days from acceptance to close, win rates, average deal size. Fast movers get more field attention and priority access to seller time.
Transaction execution: Percentage transacted via Marketplace, private offer volume, MACC application rates. Direct correlation between marketplace usage and Microsoft investment.
Incentive alignment: PAL/CPOR attribution accuracy, ECIF approval rates (e.g. MCI Partner-led and Field-led), specialization ROI tied to actual wins. Clean attribution drives program benefits.
Field signaling: Consistent Partner-led vs. Assist requests with rapid follow-through. Ambiguous asks create seller frustration and reduced engagement.
Implementation Framework
Automated CRM synchronization eliminates manual data entry errors. Auto-create referrals from co-sell flagged opportunities with bi-directional updates for owner, stage, amount, close date, win/loss status, and progress notes.
Required field validation ensures data completeness: Owner, MS Seller email, Customer tenant/domain, Workload/Solution Area, Offer ID, MACC flag, Partner-led vs. Assist designation, Next step with date, Estimated amount, Industry, Country.
Referral-attach enforcement prevents stage advancement without valid Offer IDs and co-sell ready solutions attached. The digital-equity and visibility you create when properly attaching your own solutions is critical to your long-term success.
MCEM stage gating implements exit criteria validation. Each stage requires unique and different notes, next steps with dates, decision maker identification, and proof asset usage. Lost opportunities need standardized reason codes including competitor, blocker, and pricing details.
Explicit engagement models differentiate Partner-led (partner drives cycle, requests intros/validation) from Assist requests (specific checklist: workload SSP intros, ECIF funding, executive sponsors, private offer support, solution validation).
Data governance defines field ownership, allowed values, update cadence, and performance SLAs: referral acceptance ≤48 hours, updates ≤7 days, attach compliance ≥95%.
Turn your mythologies, systems, and philosophy into leaderboard equity.
Step 4: Activate the Field
Build:
Understand each party's motivators (Revenue goals, Consumption targets, accelerated workloads, Frontier-ready KPIs), Joint account planning with Sellers and PDM; account target lists by geo and segment; objection handling & competitive traps.
Run:
Weekly co-sell standup; ECIF-funded POCs; deal-desk guidance to issue private offers within 24–48h with ISVs.
Measure:
Meetings with Field teams, win-rate lift when ECIF/transactable offers used, Microsoft-sourced vs. partner-sourced mix.
“If a Microsoft Seller pings us today, how fast do we deliver: a meeting, a POV plan, and a solution play-aligned offer?”
Deliverables: joint planning with PDMs and appropriate AE / STU, Incentives profitability + POV success plan, deal desk capable of private offers/MPO in 24–48h, weekly co-sell standup.
KPIs: meetings/POVs per district, win-rate lift with ECIF/private offers, MS-sourced vs partner-sourced mix.

Activate the Field: Speak Microsoft Seller Language
Success requires dropping your own ego and speaking Microsoft seller outcomes. It can be really difficult, feel awkward, and at times even feels like there's an authentic piece to the relationship building process missing. But that can and should be done before and after this step of driving results with a seller. Microsoft reps care about quota retirement, MACC drawdown, and platform adoption — not your features or services at this moment.
Three Common Outreach Failures
Product-focused messaging ignores MCEM stage alignment. Don't pitch deployment outcomes during Listen & Consult or technical POCs during an early MCEM stage. Match your seller value to their current stage—discovery workshops for early stages, verifiable outcomes like "Azure landing zone deployed" for later stages.
Missing buying path misaligns stage and action. If you're asking for help in pre-sales but referencing post-purchase deployment milestones, sellers can't connect the dots. Align your ask with MCEM stage exit criteria—qualified opportunity creation, technical validation, or purchase decision.
Vague partnership requests lack stage-specific verifiable outcomes. Replace "let's explore this opportunity" with MCEM-aligned asks: "30-min alignment on to qualify a $2M opportunity against Inspire & Design exit criteria and advance to Empower & Achieve stage with attached Marketplace offer and managed services."
Seller Value Framework
Frame every interaction around Microsoft seller scorecards. Lead with quota impact, platform adoption metrics, and customer success outcomes that matter to field compensation. Your solution's technical brilliance matters less than its ability to help sellers hit numbers and advance Microsoft platform adoption.
Make it simple to say yes. Provide deal details, referral IDs, estimated closing dates, and clear next steps. Sellers need ammunition for their pipeline reviews, not product demos.
Step 5: Convert & Expand
Build:
Post-win success plan including future workload adoption; Frontier-ready enablement roadmap, reference package; vertical/region playbooks (Security, Cloud & AI, AI Business solutions).
Run:
Land → expand to next workloads; publish & scale win stories; quarterly scorecard & exec QBR.
Measure:
ARR from expansions, attach per win, % wins turned into references, total MACC drawdown.
“What is the next workload we will sell to this customer within 90 days—and what problem does it solve?”
Deliverables: 90-day success plan, next-workload plays to Land & Expand, reference and Win wire library, vertical and industry use-case examples.
KPIs: expansion ARR, attach per win, % wins → references, total MACC drawdown, CSP revenue consumption growth %, ISV attach win examples.

Convert & Expand: Repeatable Growth Engine
Transform closed-won deals into multi-workload expansion, reference assets, and visible MACC/CSP growth through systematic 90-day cycles.
Build Foundation Assets
90-Day Success Plans define adoption milestones with owners and dates, telemetry monitoring, risk flags, next-workload triggers, target MACC application, and private offer pathways for each account.
Next-Workload Playbooks follow "if X is live, sell Y next" logic across Security, Data/AI, Modern Work, and Infrastructure. Each playbook includes value proposition, proof requirements, POV scope, Marketplace offer ID, and 24-48 hour private offer SLA.
Reference factory workflows establish referenceable account criteria, request processes, one-page win summary templates, and verticalized case study assets for field enablement.
AI-readiness roadmap provides enablement paths for AI/Copilot adoption, data governance through Purview/Fabric, and security hardening to support credible AI implementations.
AI Account Brief Agent generates pre-meeting intelligence for Sales and Marketing teams, synthesizing consumption patterns, expansion opportunities, and competitive positioning.
Operating Motions
Land-to-expand cadence drives day-0 onboarding, day-30/60 value validation, and day-90 expansion planning with "what we'll add next" decision points.
Win story amplification converts every closed deal into Win Wire communications for internal and Microsoft field consumption while updating Marketplace offers with fresh proof points.
Quarterly business reviews aggregate expansion ARR, attach rates per win, reference additions, MACC drawdown, and CSP growth. Sessions identify next plays and remove expansion blockers.
Expansion deal desk provides pre-approved discount bands, 24-48 hour private offer turnaround for add-ons, and ready ECIF kits for proof-of-value engagements.
Success Metrics
Expansion performance: ARR growth per account and cohort, average Microsoft solution attaches added post-initial win, percentage of wins converting to references with time-to-reference tracking.
Commercial impact: Total MACC drawdown from expansion deals, transaction percentage through Marketplace, CSP revenue growth rates where partners maintain customer relationships.
Influence measurement: ISV attach examples with count and dollar influence, demonstrating partner-driven Microsoft platform adoption.
Stage Checkpoint Question: "What is the next workload we will sell to this customer within 90 days—what problem does it solve, and what proof will unlock it?"
Give sellers clarity, proof, data, and a buying path — then measure it relentlessly. Co-sell isn’t a one-time isolated pitch; it’s a system. When your designations, specializations, transactable offers, attached referrals, and MCEM hygiene snap together in Partner Center + CRM, equity compounds — sellers choose you.
To learn more or get started, contact Will McNae.
will @ 360influence.com
(425) 941-7374
Will McNae
Turning pattern insight into partner performance — harmonizing cloud ecosystems with strategic precision.
I unify marketing, sales, and technical delivery—turning complex partner ecosystems into repeatable revenue engines.
Proven results:
  • $1.46M/month net-new Azure CSP revenue growth
  • $250M consumed revenue influenced
  • 500+ partners scaled in under 12 months
My training in music and art taught me to see patterns others miss — what looks impossible is often just undiscovered design. I bring that same creative clarity to partner ecosystems, making complexity simple and scalable.
To view my full career experience and portfolio, visit: Will McNae
1
Technical Program Leadership
Built scalable frameworks, enablement, and playbooks that empowered 500+ partners to deliver enterprise-grade cloud, security, and AI solutions.
2
Strategic Alliances &
Co-Sell Leader
Driving Cloud Growth with Pattern-Driven Precision and Creative Clarity
3
Revenue Creator
Turning incentives into $250M+ Azure opportunities, $1M+ net-new monthly CSP recurring revenue generated
4
Cutting-Edge Expertise
Mastering Gen AI, Copilot, Security, customer usage propensity models
5
Thought Leader
Speaker & playbook author sharing best practices
Career Journey at a Glance
About Me:
I build partner revenue engines in ecosystems like Microsoft — turning incentives, co-sell alignment, and field enablement into pipeline SIs/ISVs can bank on. What really fuels me? Creative clarity. My background in music and art taught me to see patterns others miss — and I apply that same lens to cloud ecosystems. Impossible is just another word for undiscovered patterns.
Results: +25% YoY Azure Consumed Revenue, +$1.46M/month CSP growth, $250M ACR influenced across 35 Security offers and MXDR with 25 MSSPs, and $3M+ partner-earned incentives.
I thrive on simplifying the complex — whether that’s translating AI and Security into co-sell plays partners can execute, or turning incentive frameworks into measurable and repeatable revenue.
I make Cloud + AI, CoPilot, Security, and propensity models usable — codified into plays, enablement, and meaningful KPIs. If you’re scaling Azure/ Security/ GenAI, let’s collaborate on your 90-day Co-Sell blueprint that produces measurable wins.
Results at scale:
25%
Innovation
Unlocked new YoY revenue growth by creating consumed revenue systems and customer propensity frameworks based on next-logical-workload plays.
$1.46M
Growth
Created net-new recurring revenues in 6 months with Azure CSP cloud services partners (SI) using Co-Sell, lead referral, and marketplace GTM motions.
$3M
Scale
Built & published over 35 GTM marketplace offers which supported 200+ Microsoft incentive opportunities driving partner-earned incentives ($3M).
How I work:
My work is fueled by integrity, collaboration, and creativity. I believe success in partner ecosystems comes from arming others to win — sellers, solution architects, and partner executives — and leaving behind scalable playbooks and frameworks they can own with purpose. I harmonize data with empathy — arming teams and partners to win not just efficiently, but artfully.
I believe the best place to get started is with GTM and the field motions (Microsoft, AWS, MCEM, Solution plays). Make incentives simple. Arm sellers with differentiated solutions, proof assets, and operational clarity. I author playbooks, lead enablement, and leave behind dashboards that show where to land, expand, and renew. I recently authored the Azure Growth SI Playbook, delivered the Azure Accelerated Learning Series (~30 partners/session), and built a Specialization ROI model that converts certifications into forecastable services revenue.
Core competencies:
Strategic Alliances, Co-Sell & Incentives (Marketplace, Transactable Offers), ISV/SI GTM, Microsoft Security & Copilot, Offer Creation, Propensity Modeling & Insights, Partner Center Optimization, Field/Seller Alignment (i.e. MCEM), Customer Acquisition, Executive Partner Enablement.
Call to action:
If you're an ISV or SI looking to compress time-to-revenue with intent and insight, let’s design a 90-day co-sell plan with precision and purpose — where creativity completes the strategy by turning incentives → meetings → pipeline → revenue.
Let’s build it with creativity, clarity, and a system that scales.
What others have said about me:
Peer feedback:
"Will did a great job walking me through his tool and resources for analyzing service levels. He went above and beyond, generously sharing insights that will help both my partners and me. His partner center enablement around referrals and reporting was extremely valuable."
Partner/ Client feedback:
"Will is our Azure Success Manager, based in Seattle. He has impressive court vision well beyond his specific role within Microsoft. His collaborative efforts with the team are commendable, making him a key player in our success within the MSFT ecosystem."
Manager feedback (2024-2025):
Within six months of joining Microsoft, Will rapidly integrated with internal teams and applied a customer-centric, data-driven approach to Azure consumption growth—building propensity-to-grow and churn-risk models from customer data, developing visual tools for granular workload expansion, and creating an ROI calculator linking Microsoft specializations and funded engagements to partner revenue. These innovations, which included go-to-market plays drove a 25% year-to-date ACR increase (approximately $1 million in net new revenue) and were recognized as best practices to scale. Will took ownership of the Azure Accelerated Learning Series, delivering multiple sessions to 30+ partners per month, authored the ASM System Integrator Playbook, and led enablement on incentives, co-selling, profitability, and co-op funding, while mentoring peers and contributing to strategic customer-insights and reporting projects—earning recognition as a unique and highly valuable asset to the team.
Top Skills:
Top Skills
Cloud Marketplace Strategy & GTM
Co-Sell Strategy
Microsoft Partner Center Operations
Strategic Alliances
HubSpot
Search Engine Optimization (SEO)
Conversion Optimization
Certifications
Microsoft Certified: Security Operations Analyst Associate (SC-200)
Microsoft 365 Certified: Teams Administrator Associate (MS-700)
Microsoft Fundamentals: Security, Azure, Azure AI, Microsoft 365, Dynamics, Power Platform
Inbound Marketing Certified Professional (HubSpot)
Contact & Resources
Email: will @ 360influence.com
Seattle, WA, United States
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