Best of LinkedIn: Channel Marketing & Partner Ecosystem CW 33/ 34

00:00:00: provided by Thomas Alguyer and Frennus, based on the most relevant LinkedIn posts about channel marketing in partner ecosystem.

00:00:06: In calendar weeks thirty three and thirty four.

00:00:10: Frenness is a B to be market research company that supports enterprise marketing teams and unlocking the full potential of their customer data with the help of AI.

00:00:19: you can find more info in description

00:00:21: right.

00:00:21: so welcome to The Deep Dive.

00:00:23: yeah glad I'd be here.

00:00:24: And

00:00:25: today, our mission is to extract the top channel marketing and partner ecosystem trends from all these recent professional discussions we've been seeing.

00:00:34: Exactly!

00:00:35: We got a lot of ground to cover.

00:00:36: So I want you imagine standing in front your board right?

00:00:40: You're projecting this beautiful slide showing twelve brand new, highly anticipated channel partners.

00:00:47: you just signed.

00:00:48: Everyone's clapping!

00:00:49: Right

00:00:50: the executive team is thrilled.

00:00:51: but then

00:00:52: fast forward six months and ten of those partners have produced absolutely zero revenue.

00:00:57: Ouch Not a single dollar.

00:00:59: And that stark reality Is really defining challenge for modern channel marketing right now.

00:01:04: Our goal today to cut through noise and figure out why these systemic breakdowns are happening across industry.

00:01:12: Okay

00:01:12: let unpack this.

00:01:14: Going through the discussions from the past couple of weeks, there is a well...a massive fault line separating how these partner programs are designed on a whiteboard.

00:01:25: You know?

00:01:25: How they actually operate in the wild.

00:01:27: We build this incredibly complex architectures of tiers and margins and certifications And then human behavior just completely short circuits to system

00:01:37: It really does.

00:01:38: The disconnect between design an execution is staggering And a great lens into this comes from Rob Moyer.

00:01:45: Okay, he pointed at our really common trap when companies try to turn around as struggling partner program.

00:01:50: Yeah What's the track?

00:01:51: Well The instinct is usually to assume you just need more partners.

00:01:54: right volume

00:01:55: Exactly.

00:01:56: But the actual bottleneck Is almost always a lack of partners who are physically in the room driving the deal forward.

00:02:03: He highlights this some This really dangerous reliance on a metric called influenced pipeline.

00:02:09: Oh

00:02:09: influence pipeline Yeah, that always feels like taking credit for the sun rising just because you pointed at it.

00:02:15: That really is!

00:02:16: Like a partner tags their name to an enterprise deal... ...that the internal sales team was probably gonna close anyway and suddenly they're claiming a win.

00:02:25: And that vanity metric is incredibly easy to report which is why executives love it, you know?

00:02:30: Right until things get tight.

00:02:32: The argument here Is that compensation should never be tied to mere influence.

00:02:37: It needs to be tied To actual verifiable co-sell participation.

00:02:41: So they actually have do the work.

00:02:43: Exactly!

00:02:43: The partner has to be actively engaged in moving the deal through stages Because the real test of this mechanism comes during budget review season.

00:02:51: Oh yeah when finance gets involved

00:02:53: Right.

00:02:53: When finance starts looking for things to cut, influenced pipeline is the first line item to get scrutinized and eliminated.

00:03:00: actual co-sell participation The tangible work Is the only metric that survives?

00:03:06: So that shifts the entire burden of proof onto the partner.

00:03:10: it does

00:03:11: but you know when You look at how that cost cell credit is actually claimed in the CRM mechanics get a little well absurd.

00:03:18: How so?

00:03:18: Stacy Floyd actually highlighted the reality of account mapping,

00:03:22: okay

00:03:23: she noted that you can have two partners selling the exact same technology but The one who wins the deal is usually just the one who saw the account first.

00:03:31: Wow So it becomes a pure race of speed over effort

00:03:34: exactly A completely administrative race.

00:03:37: I mean your top rep could be spending weeks running technical workshops and building relationships on an account

00:03:43: doing the actual selling

00:03:44: Doing the selling right.

00:03:45: But if the partner's rep happens to log that overlap into the registration system a few hours earlier on Monday morning,

00:03:52: they win.

00:03:53: The timestamp dictates the winner!

00:04:00: That is a

00:04:15: great way to put it.

00:04:16: You know, whoever yells at first claims the front seat regardless of who actually planned the itinerary or like paid for the gas.

00:04:23: The shotgun analogy captures the chaos perfectly and It speaks to a fundamental misunderstanding Of the collaboration dynamic.

00:04:31: yeah Vince Minzio shared an insight from mark monday that completely shatters A common myth here.

00:04:37: the very prefix in the word co-sell tricks people into assuming a fifty-fifty split.

00:04:43: Right, cope like equal partners.

00:04:45: Exactly

00:04:45: it implies two parties carrying an equal balanced load Which

00:04:49: anyone who has run a deal knows is almost never the case

00:04:52: Never!

00:04:53: It's deeply asymmetrical.

00:04:55: The publisher or vendor usually does the vast majority of heavy lifting.

00:04:58: Yeah they build their product

00:05:00: They build core products and maintain entire technical infrastructure And often provide foundational marketing.

00:05:07: So you have to think about Less like a split down the middle and more like a primary contractor, and a specialized subcontractor.

00:05:14: Okay I see that

00:05:15: And once an organization accepts that asymmetrical reality The strategy shifts.

00:05:20: The goal isn't just finding a few willing partners.

00:05:23: The actual growth lever is broad seller

00:05:27: activation.

00:05:27: Seller activation?

00:05:28: Yeah, the magic threshold appears to be getting more than fifty percent of your sellers actively engaged on ten or more deals.

00:05:35: hit that density and the ecosystem growth goes exponential.

00:05:39: but getting into that sobering board meeting scenario you opened with.

00:05:45: Right, the twelve partners?

00:05:47: Yeah!

00:05:47: The data point from Charles Royce about signing twelve channel partners and only seeing revenue of two of them.

00:05:52: It's brutal... it exposes a massive flaw in partner recruitment because those other ten partners they didn't sign up to sell.

00:06:00: What did they sign for?

00:06:01: They signed up for marketing.

00:06:02: Halo yeah..they just namedroped vendor into their own prospect meetings To look like they had comprehensive tech stack.

00:06:08: Oh That makes sense.

00:06:10: They threw the vendor's logo on their website to gain free enterprise credibility.

00:06:14: Just coasting on the brand?

00:06:16: Exactly, they didn't build a dedicated sales motion and they certainly didn't structure their internal comp plans To reward closing those specific joint deals.

00:06:26: Wow!

00:06:26: The margin of vendor offered was simply you know less valuable to them than the free positioning.

00:06:32: What's fascinating here is that typical executive reflex to this exact failure

00:06:37: just add more.

00:06:38: right.

00:06:39: Instead of fixing the underlying economics, they just go out and recruit another ten partners to replace the inactive ones.

00:06:45: Just a treadmill!

00:06:46: They run the exact same flawed playbook put a higher number of logos on the next board slide And then act surprised when their ratio of active-to-inactive partner stays exactly the same.

00:06:57: Because if the foundational economics or partnership are wobbly at start trying scale that program turns those small cracks into massive fault lines.

00:07:06: Scaling exposes every hidden inefficiency Yeah.

00:07:10: Fat Kemp provided a really sharp breakdown of this phenomenon, he observed that partner programs frequently hit a hard systemic plateau right around the fifty million dollar mark in partner-driven revenue.

00:07:22: Fifty

00:07:22: million?

00:07:22: Okay!

00:07:23: The program hasn't necessarily failed but the compounding growth suddenly stalls out.

00:07:29: so the manual heroics got them to fifty millions.

00:07:32: simply stop working.

00:07:33: Exactly the issue.

00:07:35: The breakdowns happen across three specific vectors,

00:07:38: okay?

00:07:38: Let's hear them.

00:07:39: first

00:07:40: revenue attribution collapses right in the early days.

00:07:43: You can manually trace a deal to a specific relationship over a phone call.

00:07:47: Sure you just called Dave and ask if he brought that dealing

00:07:49: right but at scale.

00:07:51: Without a systemic automated co-sell attribution engine, the internal direct sales teams will naturally start routing around the partner motion to protect their own quotas.

00:08:01: Oh!

00:08:01: Internal competition?

00:08:02: That's toxic... Very

00:08:04: Second Enablement fails to scale.

00:08:06: You can't rely on deep one-on-one training sessions anymore.

00:08:10: you need programmatic playbooks and reference architectures ...you need machine

00:08:14: Yes.

00:08:15: And third The internal politics finally boil over.

00:08:19: Partner source revenue begins competing directly with direct sales compensation models,

00:08:25: right?

00:08:26: If the internal culture hasn't resolved that friction The program quietly suffocates from the inside out.

00:08:31: It creates this dangerous illusion of scale.

00:08:34: Yeah You know the partner count goes up so the marketing team celebrates but the actual revenue engine is stalling.

00:08:40: yeah and John you actually pulled some census data on Amazon Web Services partners.

00:08:46: That put some terrifying hard numbers to disillusion.

00:08:49: Oh, I saw this.

00:08:50: Yeah out of six thousand nine hundred and five AWS partners a tiny fraction just sixty-nine companies hold forty-five percent Of all the customer launches.

00:08:59: The concentration of success is incredibly narrow.

00:09:02: it gets starker.

00:09:03: one Thousand four hundred ninety those partners have zero launches zero nothing.

00:09:08: they are in the ecosystem But they haven't crossed the starting line.

00:09:11: Wow And if an alliance director thinks They're safely performing at the middle of pack the median aws partner with any co-sell activity at all, has exactly fourteen launches.

00:09:22: Fourteen?

00:09:23: That completely destroys the myth that simply joining a massive hyperscaler ecosystem automatically generates a massive pipeline!

00:09:32: Yeah just showing up doesn't work.

00:09:34: The distance from zero launches to something tangible is the most expensive part of the journey and thousands of companies simply never cross it Right.

00:09:42: And by the way, if you want to stay in the loop on hard data and market realities like this make sure to subscribe so you catch future editions of our deep dives.

00:09:49: Absolutely because understanding the friction of scale is vital especially because it gets exponentially more complicated when vendors try to scale through global system integrators or GSIs.

00:10:00: Oh yeah those are massive

00:10:01: Right.

00:10:02: Amir Elliot-Lindo pointed out a fundamental architectural flaw in how most vendors approach these giants.

00:10:08: A vendor typically treats a GSI as single monolithic relationship,

00:10:12: just one big company.

00:10:13: yeah

00:10:14: In reality the GSI operates this three distinct nested relationships and failing at any of them kills The deal.

00:10:21: so if I'm looking at a massive system integrator i'm guessing first hurdle is Just the person managing the end client?

00:10:28: The relationship owner?

00:10:29: correct!

00:10:31: They hold the keys to end customer.

00:10:34: Their primary motivation isn't partner with a new software vendor.

00:10:38: No,

00:10:38: it's keep client happy.

00:10:40: Exactly!

00:10:40: Keeping the client happy and billing hours.

00:10:43: If your tool solves a glaring problem for their clients you get an introduction.

00:10:48: The second layer is the partner or senior manager.

00:10:51: they are actually mapping accounts managing joint pipeline planning go-to market

00:10:58: And most vendor partner programs seem entirely hyper fixated on that middle layer.

00:11:03: They build portals and incentives just for the pipeline managers,

00:11:06: and they completely miss The third and most critical relationship which is the practice lead.

00:11:11: Oh

00:11:12: this Is where the repeatable capability lives.

00:11:14: if you win over?

00:11:16: You aren't Just supporting one isolated deal you are being woven into the fabric of a multi-million dollar consulting practice.

00:11:23: right because they built you Into their system.

00:11:25: Exactly!

00:11:26: They integrate your solution into their standard implementation engine and train the resources on it.

00:11:32: If you aren't in the consultant's Standard Toolkit when they initially scope an engagement, You are not losing a deal at the finish line…you lost six months ago...and just finding out about now.

00:11:42: You're

00:11:42: just a logo-on-a-slide wondering why the phone isn't ringing?

00:11:46: But scaling conflicts aren't limited to massive GSIs.

00:11:52: Down in the managed service provider space The friction is causing a massive shift in loyalty.

00:11:57: What's happening there?

00:11:58: Well, Dave Sobel shared his story about an MSP that registered Adele deal for around forty-seven thousand dollars—a standard midsized hardware deal… But when the quote came back through the registration portal... Oh,

00:12:17: that is painful.

00:12:18: The partner registers the deal exposing the identity of their hard-earned customer and the reward is immediately competing against the vendor's own direct online pricing.

00:12:27: Yeah And to even match the retail price... ...the MSP was told they would have to cancel their deal registration first.

00:12:35: The margin completely evaporates because every single transaction turns into a ground-up negotiation against the very company you are supposedly partnering with.

00:12:43: Right!

00:12:44: The fallout from this is massive swing in partner sentiment, partners are migrating heavily toward distributors.

00:12:51: The distribution tier is gaining ground while the direct hardware vendor here.

00:12:55: Is losing it simply because partners need a buffer to route around these registration conflicts and protect their baseline margins,

00:13:02: which brings us To the most dangerous pivot point in industry today?

00:13:06: The market recognizes all these friction points right.

00:13:09: the attribution breakdowns the channel conflict the manual account mapping.

00:13:13: yeah

00:13:13: It's a lot

00:13:14: And the overwhelming temptation across the board is to look at these structural nightmares and say, oh we will just use AI to fix this scale problem.

00:13:23: The ultimate shiny object syndrome?

00:13:24: Yes But our sources are screaming a collective warning about applying AI prematurely.

00:13:31: Everyone wants the sophisticated AI forecasting dashboard to predict partner revenue but the underlying data infrastructure is a disaster.

00:13:39: It's critical sequence error, Kyle E shared a brilliant breakdown of what happens when you switch on AI forecasting before you actually fix the underlying plumbing of your partner data.

00:13:49: What happens?

00:13:49: You end up with dashboard that radiates absolute confidence and produces ¼ full fiction A quarter-full

00:13:56: of fiction because the AI doesn't know the data is garbage.

00:13:59: The AI just processes what it has fed And in most channel organizations the partner records are duplicated half a dozen times across different CRMs.

00:14:09: Oh, absolutely!

00:14:10: The account links are broken because nobody ever enforced a standard naming convention...

00:14:14: Right you have I-B-M-I dot B dot M dot...

00:14:16: Exactly Deal registrations and CRM opportunities live in completely different silos that don't talk to each other.

00:14:23: When you apply generative AI to that broken foundation it doesn't magically clean the data.

00:14:29: It just becomes an incredibly fast mechanism for producing a very confident, beautifully formatted hallucination of your pipeline.

00:14:37: Wow!

00:14:37: AI amplifies good systems but it scales your mess with impressive language

00:14:44: and the root cause of that mass almost always comes down to internal structure.

00:14:48: yeah

00:14:49: we are made to diagnose this perfectly as an issue of shared data ownership.

00:14:54: Okay.

00:14:55: Think about the competing priorities here, get the finance team pulling channel data because they need to calculate budget accruals meaning how much money do they need hold and reserve actually pay these partners?

00:15:06: at the exact same time sales operations is looking at that same data to figure out which internal rep gets a commission cut.

00:15:12: also important right

00:15:13: then.

00:15:14: partner operations just wants to know if the partner hit their targets for their quarterly business reviews.

00:15:18: all desperately needed the data yes

00:15:21: but because ownership has distributed across three departments Absolutely no one is accountable for the tedious work of cleaning it.

00:15:27: Oh, I see!

00:15:28: It's a classic tragedy of the commons applied to enterprise CRM data

00:15:33: So that dirty data just keeps getting passed around?

00:15:36: Until it lands in some top sales reps inbox on Friday afternoon and they are forced spend hours reformatting spreadsheets instead actually closing deals Brutal.

00:15:47: The solution isn't scheduling another cross functional alignment meeting.

00:15:51: It requires a dedicated specialist intake layer, A team whose sole function is to own, sanitize and structure the data before those other three departments are ever allowed touch it.

00:16:03: Here's where its really interesting.

00:16:05: Getting this data clean Is no longer just requirement for keeping your human analysts happy or making sure finance can close books.

00:16:12: The nature of buyer changing.

00:16:13: This is perhaps the most monumental shift we are tracking.

00:16:17: Manesh Ravindjan highlighted that.

00:16:19: AI agents

00:16:23: Yeah,

00:16:24: AWS has already rolled out an agent mode search for buyers.

00:16:27: We are entering a phase where machine is cross-referencing your product against specific budget and technical use case executing the evaluation in seconds long before human procurement officer ever gets involved into deal.

00:16:40: Meaning you're clever marketing tagline that beautifully designed eighty page PDF brochure are suddenly completely useless.

00:16:48: An AI buyer cannot parse a clever tagline and it doesn't care about your brand's emotional appeal, right?

00:16:56: It requires clean accurate current machine-readable data.

00:17:00: It needs pricing structures delivered via API that it can actually calculate and verify against a dynamic budget.

00:17:06: Yeah,

00:17:06: total sense!

00:17:07: If your data architecture is messy or you're pricing requires human to call for custom quote You are effectively invisible.

00:17:14: the agentic buyer Wow The marketplace listing used to be static marketing brochure.

00:17:18: Today, it is critical infrastructure.

00:17:21: The AI buyer will simply bypass you and move on to a competitor whose data can seamlessly digest.

00:17:26: That's fundamental rewiring of go-to market mechanics.

00:17:30: And for the companies that actually do have their data infrastructure sorted out, AI is doing more than just changing how they are bought.

00:17:37: It is entirely reshaping the core value proposition of the partner ecosystem itself.

00:17:43: Yeah!

00:17:43: The capital flowing into this specific shift is staggering.

00:17:48: David Maurer pointed out that Anthropik and OpenAI just committed a combined two hundred fifty million dollars to build out their partner programs in a matter of months.

00:17:56: Two-hundred fifty million?

00:17:59: launched a hundred million dollar clawed partner network.

00:18:03: Open AI followed up with one hundred and fifty million dollar program, aggressively bringing in heavyweights like Accenture, Bain & McKinsey.

00:18:11: The absolute bleeding edge frontier model labs are suddenly acting like legacy enterprise software companies from the early two thousands desperately building traditional partner channels

00:18:21: because they have slammed into hard truth.

00:18:23: What's that?

00:18:24: The capability of the Frontier model is no longer the bottleneck to enterprise adoption.

00:18:28: Implementation, it's a bottleneck!

00:18:30: These labs have built the smartest most capable models on earth but they are now spending hundreds millions dollars to build the ecosystem required... ...to actually deploy those models into messy heavily regulated Enterprise environments.

00:18:45: If we connect this with the bigger picture.. ..the Ecosystem Is No Longer Functioning Just As A Distribution Channel For The Product.

00:18:51: The ecosystem is

00:18:53: the product.

00:18:54: Yeah, the enterprise isn't just buying a language model.

00:18:56: they're buying the frontier model plus the hyperscaler cloud infrastructure Plus the specialized delivery muscle of the partner to make it actually work!

00:19:05: The challenge is that the partners themselves are struggling to adapt their messaging To this new reality.

00:19:11: Right Layla Kupil Patel noted a conversation where she evaluated roughly three hundred partners This year.

00:19:17: Three hundred

00:19:18: And almost all them were pitching a generic horizontal AI readiness assessment.

00:19:24: No focus on a specific industry, no defined operational problem.

00:19:28: just vague offer to help any company anywhere get ready for AI.

00:19:33: and they are universally shocked when these broad pitches

00:19:37: fail is a technology category, it's not business solution.

00:19:43: Companies like Anthropic and OpenAI have the massive marketing budgets required to promote broad horizontal promise of artificial intelligence.

00:19:53: A boutique consultancy does NOT The exact the partners who are actually capturing revenue in this space.

00:19:58: Are narrowing their focus dramatically.

00:20:00: they target a specific vertical market.

00:20:03: They address a highly recognized incredibly expensive operational problem and they position AI merely as the underlying mechanism to solve that problem not As the headline itself,

00:20:13: And the actual daily work of an implementation partner is shifting radically too.

00:20:17: John P made a brilliant observation.

00:20:19: looking at Zoho's new Ai configuration tools

00:20:22: okay?

00:20:23: Yeah

00:20:23: we're reaching up where a user can simply type a plain language prompt to create custom CRM modules, build out complex layouts and set up basic workflows.

00:20:32: And the AI executes it flawlessly in

00:20:34: seconds.".

00:20:35: So the foundational implementation work that used to keep junior consultants billing hours for weeks becomes completely commoditized.

00:20:42: Faster?

00:20:43: Cheaper!

00:20:44: With fewer errors... But doesn't mean partner ecosystem vanishes.

00:20:48: It means demand shifts up value chain.

00:20:51: How so?

00:20:52: It creates a massive new requirement for a role he calls an AI workforce architect.

00:20:57: AI Workforce Architect, I like that!

00:21:00: Businesses don't need a partner to just set up CRM fields anymore.

00:21:04: They need a highly specialized partner who can design digital employees, architect the complex integrations across dozens of legacy systems and build strict governance protocols.

00:21:15: Governance meaning they set the boundaries.

00:21:17: so in AI age it doesn't accidentally email a client your internal profit margins.

00:21:22: That would be bad.

00:21:23: Right, building a custom module is becoming as simple prompt.

00:21:26: Bolding and governing the digital workforce is becoming highly specialized profession

00:21:31: And stepping into that role of work force architect requires an incredibly deep systemic level of trust.

00:21:37: Oh yeah Which brings up critical warning from Santino Weber.

00:21:40: In this new AI ecosystem you have room to make mistakes in your messaging You can iterate and fail on your cosale motions, but if you have a security misalignment it breaks the AI partnership permanently.

00:21:52: So there's zero grace period for security in AI deployments?

00:21:56: None whatsoever!

00:21:57: AI introduces a highly volatile completely unprecedented attack surface for an enterprise.

00:22:04: Yeah

00:22:04: If you lose trust on security A polite follow-up meeting or discount isn't going to fix that.

00:22:10: Securing these environments requires architecture level co-innovation across three distinct layers.

00:22:15: Take those down.

00:22:16: First, the infrastructure layer You have to embed zero trust protocols directly into AI hardware and compute pipelines.

00:22:23: Second, the AI lifecycle layer Securing proprietary enterprise data that feeds models without throttling speed or performance.

00:22:31: And third, field cosale.

00:22:34: The partner has to be able to position security as an accelerant in the deal, not a compliance roadblock that stalls everything at the eleventh hour.

00:22:42: You can't just slap a certified partner badge on your website and run a joint webinar anymore – integration must be foundational or enterprise simply won't bet their data on it.

00:22:51: Exactly!

00:22:52: So what does this all mean?

00:22:54: We've traced our journey from messy manual reality of shotgun co-selling through the severe friction of scaling those programs past fifty million into data infrastructure required to even survive the AI era, and finally how AI is fundamentally changing what a partner actually sells.

00:23:13: If we pull all of these threads together, there is a looming reality that partner leaders need to prepare for right now.

00:23:19: We discussed how AI agents are already evaluating marketplace listings and acting as initial buyers Right The next frontier.

00:23:26: the truly disruptive phase this evolution Is going be figuring out what happens to channel economics when your AI agent starts negotiating margins Deal registrations And co-sell agreements directly with a partners.

00:23:38: AI edge We're looking at in near future where the transaction layer of partnerships is entirely stripped of human relationship building.

00:23:45: If the human element moves entirely to the strategic architecture level and machines handle the transactional friction, a completely

00:23:57: machine-to-machine partner ecosystem negotiating its own margins.

00:24:02: That is something every channel leader should be mapping out immediately!

00:24:05: Well, if you enjoyed this episode new episodes drop every two weeks.

00:24:09: also check our other editions on field marketing martech ai and b to B go to market abm And social selling.

00:24:15: thank you so much for listening and remember to subscribe So you never miss a deep dive.