SaaS Partner Ecosystems

What if your top-performing seller doesn’t even work for you?... Partner-led growth is one of the highest-leverage GTM plays (if you know when and how to use it). Brian Weinberger is the CRO at Sisense and has 30+ years of GTM leadership. He’s built partner motions across every model – from VARs to SIs to global cloud marketplaces. In this episode, he shares the playbook for building a partner ecosystem. Key takeaways:   1️⃣ Don’t start with distribution. Start with delivery. Most founders want partner-led pipeline. But first, ask: who delivers your product best? If it’s complex, lean on experts. Great delivery builds stickiness and drives long-term retention. 2️⃣ Enablement speed is the best predictor of partner success. Enablement is your early signal. How quickly can someone become fluent in your product and category? Invest in onboarding to compress time-to-value for every partner. 3️⃣ Partner ecosystems are not shortcuts, they’re systems. You won’t see ROI in 6 months. But by year 3, compounding kicks in. A mature ecosystem drives pipeline, retention, and expansion (often outperforming internal teams). 4️⃣ Use both direct and partner models Microsoft scaled through partners; Salesforce went direct. Today’s best SaaS companies use both: AEs for speed, partners for scale. Direct is your wedge and partners are your engine. 5️⃣ Sell on your own paper, even if you don’t do the work. Early on, own the contract. Let partners deliver, but keep buying simple for customers. This gives you control while subcontracting trusted experts behind the scenes. 6️⃣ Use partners to extend coverage where you can’t hire. New regions, verticals, or languages? Start with partners. The right one can be your seller, marketer, CSM, and architect - all in one. 7️⃣ The best partners hunt, not wait. Most partner programs wait for inbound or expect the reseller to “bring leads.” Flip the script. Feed your partners a pipeline, offer meaningful margins, and give them a reason to care. Partners who market and close independently are the ones who scale with you. 8️⃣ Use integrations to gain leverage with giants. Want attention from a cloud hyperscaler or dominant ecosystem? Don’t just build an integration, resell their product. Sisense white-labeled Snowflake, creating shared customers and shared incentives. Ecosystem selling builds political capital. 9️⃣ Want loyalty? Invest in in-person. Remote is efficient, but in-person builds bonds. Whether it’s team offsites, co-selling sessions, or just dinners, the cultural glue that holds your partner network together is forged face-to-face. The ROI shows up in loyalty, learning speed, and long-term deal flow. -- 🎧 Tune in and subscribe on YouTube, Apple, Spotify or wherever you like to listen by searching "The GTMnow Podcast." 💡 GTMnow by GTMfund: Build, scale and invest with the best minds in tech.

You can’t headcount your way to market coverage. I learned this the hard way after 20 years at Sony Music, Google, and Amazon managing partner ecosystems. The math never works. Even with unlimited hiring budget, you can’t: • Cover every geographic market with local expertise • Build every integration customers want • Combine your offering with every complementary capability But partners can—if you architect the decision correctly. Here’s what the data shows about when partnering actually works: The multiplier has to be real: Salesforce partners earn $5.80 for every dollar Salesforce makes (IDC, 2019). Google Cloud partners capture $7.05 for every dollar customers spend (Canalys, 2025). These aren’t charity programs. Partners build profitable businesses on top of the platform. If your partner can’t make 3-5x what you do, you’re doing services, not partnerships. The differentiation has to be genuine: Partners succeed when they add capabilities you can’t or won’t build: • Localization: They know markets you don’t • Vertical depth: They understand industries better than you ever will • Integration: They combine your tech with others to solve bigger problems Shopify’s platform head Harley Finkelstein said it explicitly: “Shopify will create more business value for its partners than it captures itself.” The 2020 numbers proved it—$12.5B partner ecosystem revenue on $2.9B Shopify revenue. The decision framework: Before building a partner program, ask: 1. Can partners make a real multiple? Not 1.2x. Real money. 3-5x minimum. 2. Can they differentiate? Do they add genuine capabilities or just resell? 3. Does this unlock markets you can’t reach with headcount? Geography, verticals, customer segments? If you answer no to any of these, you’re building a reseller channel, not a partner ecosystem. Platform companies achieve 50-60% margins vs. 30-35% for traditional models. (Industry benchmark data, 2024). But only when the partners are actually creating new value—not just distributing existing products. The real question: What are you architecting for? Headcount scales linearly. Ecosystems scale exponentially. But only if you design decisions that enable partners to build businesses, not just close deals.

Most companies say they want partnerships to drive growth. Few build them in a way that actually scales. The truth is: sustainable partner growth isn’t an accident. It’s engineered. Without clear frameworks, companies chase shiny partners, measure the wrong metrics, or expect instant ROI that partnerships simply don’t deliver. Here are three frameworks I use with most executive teams to make partnerships efficient today and defensible tomorrow: 👉 The LTV:CAC Filter Every CFO obsesses over lifetime value vs. acquisition cost. Apply the same rigor to partnerships. If a partner reduces CAC by delivering warmer leads, that’s a win. If those customers stick longer because of ecosystem lock-in, even better. When both are true, you’ve found a channel worth betting on. 👉The 3C Model of Partner Fit Not every partner is worth the investment. Filter through three Cs: Capability: can they actually reach your ICP at scale? Credibility: will their customers trust their recommendation of you? Compatibility: do your values, GTM motions, and timelines align? Miss one, and the relationship will stall. Nail all three, and compounding success is far more likely. 👉The Compounding Horizons Framework Partnerships compound like investments. Year 1 is foundations: attribution, agreements, enablement. Returns look modest. Year 2 is momentum: integrations deepen, co-marketing scales awareness, partners produce consistently. Year 3+ is flywheel: one incentive ripples across dozens of partners, integrations make your product harder to rip out. Executives who measure only Year 1 miss the point. In Practice At one SaaS company I advised, direct CAC payback was nearly two years. By applying these filters, we prioritized a few partners who delivered lower-cost, higher-retention customers. Payback dropped by 8 months in 18 months. It wasn’t one “big whale” — it was disciplined filtering, systematic enablement, and patience. The Executive Lesson Frameworks aren’t academic. They’re how you turn a partner program from “support” into a revenue engine. Sales reset every quarter. Partnerships stack. With the right foundations, what looks incremental in Year 1 becomes exponential by Year 3. When you look at your partnerships strategy, are you measuring it with frameworks built for sustainability — or chasing numbers that reset every 90 days? #Partnerships #CapitalEfficiency #SaaS #GrowthStrategy #Leadership

Ecosystems are built on relevance, not reach. Companies often fall into the trap of building broad, scattered partner lists, hoping that quantity will somehow convert into pipeline. That is when partnerships become a numbers game, and hope becomes the strategy. But a wider ecosystem without shared customers, shared motion or shared outcomes just creates noise. What drives results is relevance. And that is where we focus. Regardless of maturity, the same rule applies: impact comes from going narrow and deep, not broad and hopeful. The partnerships that actually move the needle are embedded across the customer journey. They show up where your customers already are. They offer complementary value that makes the product or experience better. Think about Zeller launching inside Officeworks because that is where small business owners already shop. Or Uber and Spotify's integration that still drives millions of new users monthly. Or Canva and HubSpot, with ecosystem-level workflow built in. These are not just brand alignments. They are functional ecosystems, driving measurable outcomes from acquisition through to retention. The mistake is thinking partnerships are just about co-marketing or shared logos. In reality, the best ecosystems solve real problems across the full customer journey, from discovery and decision, all the way through to delivery and retention. And that is why more CROs and CFOs are leaning into partnerships. Because when executed well, an ecosystem strategy reduces sales hiring pressure, protects CAC and increases lead quality. Many of the PE-backed and founder-led teams we work with are not looking to add ten more sales reps. They are looking to go deeper with partners who influence, deliver and expand customer impact, with fewer resources. So the question is not “How many partners do we have?” It is “Who has our customer’s attention, and how do we build something meaningful with them?” Curious how you are thinking about relevance versus reach in your own ecosystem? Send a DM. Always up for the chat. #growth #ecosystem #partnerships

𝗧𝗵𝗲 𝗽𝗮𝘁𝗵 𝘁𝗼 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗿𝘂𝗻𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀. This quote from Steve Corfield at Anthropic’s Partner Networks Connect session stayed with me (not because it is a nice partner marketing line), because it names something I see becoming increasingly important across the consulting and technology ecosystem: #EnterpriseAI will not scale through strategy or technology alone. It will scale through ➕ trust ➕ advisory capability ➕ industry-specific architecture expertise ➕ implementation excellence, and ➕ ecosystem orchestration around real client problems. That is where partnerships become critical and where the real work begins! All major tech and AI agencies are navigating a strategic tension: ⚡ They want to advise clients independently and tech-agnostically. ⚡ At the same time, enterprise-level AI implementations require deep expertise in selected platforms, products, and partner ecosystems. Both ambitions are valid, but they need to be intentionally reconciled. You cannot be an "expert in everything". If you want to win complex Enterprise AI deals, you need to choose where to go deep. You need: ...strong vendor relationships. ...real enablement. ...delivery confidence. ...joint go-to-market muscle. ..consultants who understand that partners are not a threat to independence, but part of how value gets created. I have admired Steve’s work since his Salesforce days because he understands partner ecosystems as real growth engines, not side channels. Seeing Anthropic approach partnerships with that level of intention is impressive! And it reinforces something I keep coming back to #CollaborateOrDie In the AI economy, companies will not win by doing everything alone. They will win by combining capabilities faster, smarter, and more trustfully than their competitors. For consultancies and tech agencies, this means they need a more mature conversation about what “tech-agnostic” really means. 𝗜𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗻𝗼𝘁 𝗺𝗲𝗮𝗻 𝗯𝗲𝗶𝗻𝗴 𝗻𝗲𝘂𝘁𝗿𝗮𝗹 𝘁𝗼 𝘁𝗵𝗲 𝗽𝗼𝗶𝗻𝘁 𝗼𝗳 𝗯𝗲𝗶𝗻𝗴 𝗴𝗲𝗻𝗲𝗿𝗶𝗰. It should mean 𝘣𝘦𝘪𝘯𝘨 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘵 𝘪𝘯 𝘫𝘶𝘥𝘨𝘮𝘦𝘯𝘵, 𝘸𝘩𝘪𝘭𝘦 𝘣𝘦𝘪𝘯𝘨 𝘪𝘯𝘵𝘦𝘯𝘵𝘪𝘰𝘯𝘢𝘭 𝘢𝘣𝘰𝘶𝘵 𝘸𝘩𝘦𝘳𝘦 𝘸𝘦 𝘴𝘱𝘦𝘤𝘪𝘢𝘭𝘪𝘻𝘦, 𝘪𝘯𝘷𝘦𝘴𝘵, 𝘢𝘯𝘥 𝘣𝘶𝘪𝘭𝘥 𝘵𝘳𝘶𝘦 𝘥𝘦𝘭𝘪𝘷𝘦𝘳𝘺 𝘦𝘹𝘤𝘦𝘭𝘭𝘦𝘯𝘤𝘦. To me, that is the future of strategic alliances (not collecting logos or badges) = Focused collaboration that creates measurable client value. And maybe that is the real shift: the best strategic partners of the future will not just advise. They will orchestrate the ecosystems enterprises depend on? So here is the question ➡️ 𝗔𝗿𝗲 𝘄𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝘁𝗿𝘂𝗹𝘆 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 𝗮𝗰𝗿𝗼𝘀𝘀 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝗶𝗲𝘀? 𝗢𝗿 𝗮𝗿𝗲 𝘄𝗲 𝘀𝘁𝗶𝗹𝗹 𝘁𝗿𝘆𝗶𝗻𝗴 𝘁𝗼 𝘄𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮 𝗮𝗹𝗼𝗻𝗲? Love to here your thoughts! Daniela Carolin Catharina Bianca Dusan Julian Leif

The AI-era is causing major shifts in partner program strategy. At Omdia we measure 35,000 different vendor programs across hardware, software, services, and telco. Just in the past few weeks we have seen over $1 billion in net new partnering investments by Google Cloud, Anthropic, Salesforce, and Dell Technologies. As partner ecosystems continue to evolve, the economics underneath are shifting to different partnering motions, types of partners, moments in the customer journey, and outcome-based measurements. Our team is especially watching these 5 trends: —> Services-led growth takes center stage Vendors are placing greater emphasis on profitability, customer outcomes, and partner-influenced revenue, encouraging partners to expand services capabilities and move beyond product transactions. —> Ecosystem collaboration becomes critical Multi-partner opportunities, co-selling initiatives, and joint go-to-market motions are becoming increasingly important as customers seek integrated solutions. —> Incentives shift across the customer lifecycle Investment is moving toward services, lifecycle engagement, and strategic MDF programs, while traditional margin-based incentives become less predictable. —> AI transforms the partner experience AI is rapidly becoming embedded in partner tooling, helping automate administrative tasks, improve self-service capabilities, and enhance program management. —> Simplicity REMAINS a competitive differentiator Partners consistently cite ease of doing business as a key factor in vendor relationships. Streamlined program structures, simplified claims processes, and easier access to support are essential. Successful partner programs are increasingly designed around outcomes, enablement, and ecosystem value creation, rather than transactions alone. The vendors gaining partner mindshare, market share, and valuation are increasingly those that: • Make it easier to do business • Help partners build profitable services practices • Enable ecosystem-led selling • Use AI to reduce administrative burden rather than add complexity

Most partner ecosystems don't fail because of bad products. They fail because no one asked the hard questions upfront. Before I invest in any partner relationship, I ask 3 things. Real problem. Real commitment. Real 90-day proof. Full framework in my latest post. 👇 26 years in partner ecosystems taught me one thing early: not every partner relationship is worth building. I've seen companies — and I've been in companies — that chase partner logos like trophies. Sign the agreement. Take the photo. File the press release. Then wonder six months later why nothing moved. The relationships that actually drove revenue — at Microsoft, Google, HCL, Netmagic — all passed three questions I now ask before committing time, money, or a team to any partner. Q1: Is there a real customer problem we solve better together than apart? Not "do our portfolios overlap." Not "do we both sell to enterprises." The bar is: can we walk into a customer conversation and show them something neither of us could deliver alone? If I can't answer that in two sentences, the partnership isn't ready. At Netmagic, I learned this the hard way managing alliances with Accenture, EY, and KPMG simultaneously — the ones that produced pipeline had a crisp joint story. The ones that didn't were just logos on a slide. Q2: Do they have skin in the game — or are they waiting to see if we invest first? A partner who commits resources, assigns a named person, and shows up with their own pipeline targets is a completely different animal from one waiting to see what incentives you'll offer. I spent years working with GSIs like Infosys, Wipro, and Tech Mahindra at Microsoft. The co-sell motions that delivered had one thing in common: the partner had already made a bet. They'd built a practice. They'd trained a team. They were invested before we wrote the first check. Commitment signals commitment. Q3: Can we measure progress in 90 days — not 18 months? Long partnership timelines are where accountability goes to die. Every partnership I've built that scaled had early indicators we could track: leads qualified, joint pipeline created, deals co-sold, consumption milestones hit. If someone tells me we'll "see results next year," I ask what we'll see next quarter. If there's no answer, the relationship isn't structured — it's just optimistic. The discipline of a 90-day rhythm is what separates partnerships that produce from partnerships that persist without purpose. These questions won't make every partnership work. But they've helped me avoid the ones that were never going to. If you're building or inheriting a partner ecosystem right now — print these out and put them on the wall. What's the first question you ask before investing in a new partner? Drop it in the comments — I read every one. #PartnerEcosystem, #ChannelSales, #GTM, #CloudGrowth, #SalesLeadership, #MicrosoftPartners

𝗧𝗵𝗿𝗲𝗲 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝗳𝗿𝗼𝗺 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝗟𝗜𝗩𝗘 𝗕𝗲𝗹𝗹𝗲𝘃𝘂𝗲 𝗗𝗮𝘆 𝟭.  𝗧𝗵𝗲 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗶𝘀 𝘀𝗵𝗶𝗳𝘁𝗶𝗻𝗴 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗺𝗼𝘀𝘁 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 𝗿𝗲𝗮𝗹𝗶𝘇𝗲. Vince Menzione opened the room with the frame he has refined across ten of these gatherings: trust is the oxygen of every successful partnership, and we are now living through the Decade of the Ecosystem. Not channel. Not co-marketing. Ecosystem. His seven principles are the operating system. Everything that followed was the proof. 𝟭. 𝗧𝗵𝗲 𝗯𝘂𝘆𝗶𝗻𝗴 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝘀 𝟮𝟴 𝗺𝗼𝗺𝗲𝗻𝘁𝘀, 𝗻𝗼𝘁 𝗮 𝗳𝘂𝗻𝗻𝗲𝗹. Jay McBain (Omdia) opened with the numbers: 94% of B2B salespeople rely on partners. Indirect outpaces direct. 82% of partners feel unprepared for what is coming. The shift from "lead the deal" to "show up at the right moment" is structural, not cyclical. 𝟮. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗶𝘀 𝗰𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗶𝗻𝗴 𝗮𝗿𝗼𝘂𝗻𝗱 𝗔𝗜 𝗰𝗼𝗻𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻 𝗮𝘀 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗽𝗿𝗶𝗺𝗶𝘁𝗶𝘃𝗲. Stephen Boyle, Microsoft's CVP of Enterprise Partner Solutions, made the unification of enterprise partner leadership explicit. The deeper signal: managing AI agent usage and token consumption as the unit of commerce. If your partner program is not pricing for consumption, you are already behind. 𝟯. 𝗧𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗮 𝗹𝗶𝘀𝘁𝗶𝗻𝗴 𝗱𝗲𝘀𝘁𝗶𝗻𝗮𝘁𝗶𝗼𝗻. 𝗜𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿. Cyril Belikoff (Microsoft) and Jon Yoo (Suger) made it concrete: marketplace has moved from incubation to core integrated platform. Package IP for marketplace consumption. Drive joint Azure consumption. Prepare for agile, AI-based, interoperable apps. This is the FY27 signal — a full day before Alexandra Zagury formalizes it from the main stage tomorrow. The supporting cast made the structure visible. Ashleigh Vogstad (Transcends) and Leanne Campbell (Rev Alliances) showed that when buyers ask AI to recommend a partner, transparency in pricing and outcomes is what puts you in the answer. Reis Barrie (Carve) and Greg Goldkamp (Microsoft) laid out a Microsoft partner maturity framework instantly usable for any leader figuring out what to fix next. Tie it together. Trust now has to be readable by both humans and machines. The unit of commerce is moving from license to consumption to outcome. Program management is no longer the job. Ecosystem outcomes are. That is the gap ZINFI's Unified Partner Management (UPM) platform was built to close.

Curious if ecosystem gravity is coming up in your partner leadership meetings? It should be. This week, Anthropic expanded the Claude Partner Network with a dedicated services track. Most people will see this as a partner program announcement. I think it’s evidence of something much bigger. Over the past year, nearly every frontier AI company has made a significant ecosystem bet: • Anthropic committed $100M to ecosystem development, attracted 40,000+ partner applications, and certified 10,000+ consultants. • OpenAI grew from 2 million to 3 million paying business users in just four months. • Salesforce disclosed more than 8,000 customers signed up for Agentforce. • Microsoft partners deployed more than 300,000 Copilot licenses across Infosys, TCS, and Wipro alone. • Google committed $750M to accelerate AI development across its partner ecosystem. Sources: Anthropic, CRN, OpenAI, Salesforce, Microsoft, Google Cloud Different companies. Same pattern. But here’s the insight I keep coming back to: You can create a partner program. You can’t manufacture ecosystem gravity. You have to create enough customer demand that an ecosystem forms around it. The most interesting signal from Anthropic’s announcement wasn’t the services track. It wasn’t the certification program. It wasn’t the partner portal. It was the fact that more than 40,000 firms applied to participate. Those firms weren’t responding to a badge. They were responding to demand. They believe customers want Claude. And you can see the same pattern elsewhere. OpenAI didn’t add a million paying business users in four months because it had a partner program. Its ecosystem is growing because customer demand is growing. Salesforce didn’t attract thousands of partners to Agentforce because of a certification. Partners see demand. Microsoft’s AI ecosystem wasn’t created by incentives alone. It was created by customer demand large enough to support an entire economy of consultants, developers, integrators, and service providers. Once demand reaches critical mass, four things begin to accumulate: Intelligence because customers, partners, and developers learn together. Capability because partners invest in solutions, services, and expertise. Capacity because firms hire, train, and deploy resources against the opportunity. Influence because advisors, consultants, and builders begin shaping how customers evaluate and adopt technology. These forces compound. More intelligence attracts more capability. More capability attracts more capacity. More capacity attracts more influence. More influence attracts more intelligence. That’s ecosystem gravity. The easiest partners to recruit are the ones already chasing customer demand. The hardest partners to recruit are the ones you’re trying to convince demand will eventually exist. The best ecosystems understand the difference. Ecosystems are built. Gravity is earned.