PLG is the Starting Line, Not the Destination

Why Infrastructure Product Companies Need to Reframe Product-Led Growth

Whenever the term "Product-Led Growth" (PLG) or "Product-Led Sales" gets thrown around in leadership circles, there is often an immediate wave of unspoken tension. Sales teams worry it implies their role is shrinking, while product teams worry they are being asked to build a self-operating magic trick.

The truth is, nobody has a perfect, pre-packaged blueprint for this yet. As a sales leader who spends my days collaborating with product, engineering, and alliance teams at some of the world's leading software and cloud-native infrastructure companies, I can tell you that we are all working this out together. We are actively experimenting, sharing notes, and co-authoring the new playbook in real-time.

But the biggest mistake we can make is treating PLG as an all-or-nothing "destination" that we are marching toward.

When we position PLG as the end goal, we devalue what it can actually achieve. It isn't a replacement for a robust sales engine; it is a critical skill and a tool in our collective armor. Reframing PLG this way shifts the focus from "how do we replace sales?" to "how do we use our product to unlock new accounts, prove value instantly, and make cross-sell and upsell entirely seamless?"

It is about figuring out how to blend these motions to meet your customer exactly where they are.

For legacy and cloud-native ISV’s alike, the ultimate product accelerator isn't just adding a "Start Free Trial" button to a website. It is about removing the friction of the "last mile" of adoption—using seamless deployment, automated migration, and one-click integrations to let customers prove value with their own data and systems before they commit.

The Modern AI-Driven Buyer is Already in Your Stack

To design the right experience, we have to look closely at how B2B buying behavior is evolving. Buyers no longer wait around for a slide deck or a formal qualification call to understand what you do. They are doing their own deep-dive research, and today, that research is heavily augmented by AI.

The data we are seeing from across the industry paints a clear picture:

• 94% of B2B buyers are actively using Large Language Models (LLMs) like ChatGPT, Claude, or specialized AI assistants to research tools, compare technical features, and benchmark performance during their purchase journey, according to the 6sense 2025 Buyer Experience Report.
• 75% of B2B buyers now state a clear preference for a self-service, rep-free experience during their initial discovery and evaluation phases, according to research from Gartner

By the time a prospect lands on your radar, they don't want an introductory lecture—they want proof. They have already formed a hypothesis about your value based on their own AI-driven research, and they want to log in and validate it with their real data, in their real environment, immediately.

The "Last Mile" Bottleneck

Once marketing has built awareness of your product, and teams engage with buyers, the biggest problem I hear from sales leaders is pipeline conversion. We are all fighting a constant battle against promising deals that get stuck in the middle of the funnel.

Why do they get stuck? It's rarely because of the core value proposition. It's almost always because of the friction in the "last mile" of deployment.

Imagine a security or database product that looks spectacular in a guided demo. But to actually see it work, the customer's engineers have to spend three weeks configuring pipelines, writing custom YAML, or manually installing agents across their Kubernetes clusters. Then, the customer’s security team gets anxious about granting permanent admin roles, and the enterprise IT team blocks the deployment because of an integration backlog.

Suddenly, a warm lead freezes over.

Now, imagine a different approach—one we are seeing progressive ISVs experiment with today. What if those stuck deals could be instantly unlocked because the product is designed to work out of the box?

A great example of this is Cloudflare. Cloudflare encompasses this philosophy and you can see it with the launch of Cloudflare One Stack. Recognizing that migrating to a modern Zero Trust or Secure Access Service Edge (SASE) network can still trigger massive implementation anxiety, they created an AI-powered agentic toolkit. Instead of asking network admins to manually translate hundreds of legacy security policies from legacy vendors, the Cloudflare One Stack allows automated agents to inspect existing firewall configurations, automatically map them to Cloudflare primitives, and generate seamless migration and deployment pathways.

This is the standard we must aspire to. What if those stuck deals in your pipeline could be instantly unlocked because the product is designed to handle its own deployment and configuration out of the box?

If a prospect can trial your software securely using their real-world data, proving the value live within minutes, the implementation anxiety that normally kills enterprise deals completely evaporates. When a customer experiences that "aha" moment with their own telemetry or threat data, the conversation shifts from if they should buy to how quickly they can scale.

Adoption Acceleration Engineering: A Collaborative Product Focus

To turn this vision into a scalable engine, product and sales teams have to align on a new mindset. We need to stop treating integrations, deployment templates, and migration tools as secondary, custom "plumbing" built by field engineers on a one-off basis.

Instead, we must treat them as core, strategic features of the product itself. In our work, we've come to think of this as Adoption Acceleration Engineering.

If we want to meet our buyers where they are, product roadmaps need to prioritize four critical accelerators—starting with the foundational infrastructure that makes the entire experience possible:

1. The "Invisible Plumbing": Metering, Billing, and Entitlements

A frictionless front-end trial is meaningless if your back-end isn't built to support it. To truly "meet the customer where they are," product teams must invest early in the underlying infrastructure that tracks and manages usage. This means building robust, real-time metering engines, flexible entitlement enforcement, and automated billing hooks.

Without this "invisible plumbing," sales teams are left in the dark, and customers face frustrating manual intervention when they want to upgrade, add seats, or transition from a trial to a paid tier. When you instrument your product to measure value dynamically from day one, you build the secure, scalable foundation required for the entire adoption experience.

2. Zero-Click, Native Deployments

Once the plumbing is secure, you have to look at the front-end entry point. If your product requires a heavy manual setup guide, you are starting on the back foot. Product teams can leverage modern cloud capabilities to automate deployment. A great example is utilizing AWS’s IAM Temporary Delegation—an AWS-native, consent-driven workflow where a customer can approve scoped, short-lived permissions with a single click. Your product deploys instantly, sets up the required long-term roles securely within their permissions boundaries, and starts working in seconds. This means no context-switching, no manual scripting, and full auditability for their security team.

3. Meeting Users in Their Existing Workflows

Enterprise users don't want to adopt another standalone dashboard they have to remember to log into. The product needs to deliver value where they already live—whether that is pushing alerts natively into Slack, surfacing findings in AWS Security Hub, or triggering automated tickets inside ServiceNow.

4. Automated Migration Tooling

If you are trying to displace an incumbent, the biggest barrier to entry is the customer's fear of data loss or the massive effort of rebuilding configurations. By building automated migration toolkits—tools that automatically discover legacy assets, map them to your schema, and validate the transfer—you turn a painful transition into a frictionless sales accelerator.

The New Reality of Product-Led Sales

Shifting to this collaborative model doesn't mean bypassing the sales team. Quite the opposite: it gives them superpowers. It transforms PLG from a threatening buzzword into an indispensable tool in their sales armory.

Instead of chasing cold leads or spending weeks pushing for a hypothetical proof-of-concept, sales professionals can monitor real-time product usage signals. When an account self-registers, provisions a tenant, and reaches their "aha" moment, the salesperson steps in as a strategic advisor. They engage with perfect context, ready to help the buyer structure a custom private offer, scale usage, and navigate corporate procurement. This benefits the customer, but also the internal functions involved- Product can build the roadmap from real usage feedback, see where value lands first and can look to ship new features that drive product usage based on metering. Finance benefits as revenue is accurate, consumption is clear and the numbers are direct and entitlements are enforced cleanly. Enterprise Architecture gets consistency, automation and fewer bespoke builds.

The future of infrastructure software belongs to the ISV’s that make their products easy to buy, easy to deploy, and impossible to live without. We are all still figuring out the exact mechanics, but one thing is clear: by treating PLG as the starting line rather than the finish line, product and sales leaders can work together to turn deployment friction into a competitive weapon.

Let's let the product do the talking, and let our teams build the bridges to make it happen.