
Growth roles are evolving from "leading a team" to "serving the org." At a mature company valued at $2 billion, $100M+ ARR, with Enterprise Sales, and Finance teams, the playbook evolves from growing signups to operationalizing revenue efficiency. Growth becomes an acceleration function, a center of excellence that other departments tap into to hit their goals faster.
In practice, this bridge functions is more like a Product-Led Sales-Assist Support team. A growth team that services Sales, Product, Marketing, and Finance. Running funnel experimentation, setting attribution, and testing pricing strategy inside an existing "machinery" of the company.
To run this "Growth as a Service" operating system, three pillars create the Product-Led Sales-Assist Leadership Framework:
Table of Contents
How to Solve Revenue Attribution Between Sales and Product?
Sales and Product teams often operate with different incentives regarding deal attribution. Not having single alignment on deals leads to political friction and downstream impacts on customer experience.
The fix is focusing on Revenue Efficiency. Position the Product-Led Sales-Assist Leadership as a support tier designed to accelerate Enterprise Sales performance.
What Metrics Prove Product-Led Sales-Assist Works?
Instead of fighting over "Who sourced this?", measure "How much did we help?" (Assistance)
Create a Lift Dashboard that compares the impact of product-assisted deals compared to unassisted ones:
Metric | Cold Outbound Lead | Product-Assisted Lead | The "Growth Lift" |
Sales Effort | 50 Cold Calls | 1 Warm "Assist" | 98% Less Friction |
Win Rate | 15% | 28% | +86% Lift |
Deal Velocity | 140 Days | 90 Days | -35% Time |
This table shifts the conversation from "Who gets credit?" to "How much time did we save you?"
A higher Efficiency Lift (98% Less Friction). A rep might dial 50 cold leads to get one meeting. With a Product-Assisted lead, they make one call. Growth removed the prospecting grind, so Sales can focus on closing.
There is an Effectiveness Lift (+86% Win Rate). Product-led leads have already solved the problem using our tool and are nearly twice as likely to close.
Increase Speed Lift (-35% Time). Cold deals can drag on for months because you have to educate the buyer. Product-led leads skip the education phase and go straight to negotiation, closing over a month faster.
This proves that the Growth team isn't trying to steal the Sales team's commission, it’s trying to help them hit their quota in fewer hours.
On top of having a "Marketing Sourced Pipeline", consider reporting on "Assisted Revenue Velocity" that aligns sales compensations and organization incentives. During Monthly Business Reviews (MBR), align sales, marketing, and product leadership to read "Velocity" as a shared narrative of success.
Sales leaders should be asking: "Does PLG help reps close faster? Does adding a rep boost odds without friction, or would customers close anyway?" The ultimate goal is capturing revenue in a faster and easier way.
Read more about Product-Led Sales and Sales-Assist routing:
How Do You Run a Growth Review Process That Creates Operational Visibility?
Companies often prioritize "Operational Savings", leading to cuts in processes that might negatively impact Activation and Net Dollar Retention (NDR).
The fix is showing that Leading Indicators (like Activation) whether or not are worth the operational cost using Holdout Tests (an A/B test that focus on intervention vs. nothing) before making cuts.
What Is the MBR Template for Product-Led Sales-Assist?
Monthly Business Reviews (MBRs) should function as "Decision Meetings." Every growth review should answer these specific questions:
Is there a leak? "Where exactly did we lose money this month?" (ex: 500 High-Intent leads stuck on the Free Tier).
Are we running an experiment to learn more? "What test are we running right now to fix it?" (ex see Holdout Test below).
What is the next step? "What decision do we need our P&L leaders to make today?" (Ex: Approving a pricing change or resource shift).
Running this MBR cadence review create a tighter feedback loop from data to decision.
Real Example: What Happens When You Skip Onboarding Calls?
At a prior company, leadership pushed for a short-term win: skipping onboarding calls. The logic was simple: "Calls are expensive work; let's automate everything to save money."
Instead of debating opinions, we ran a Holdout Test:
Cohort A: Standard Onboarding Calls.
Cohort B: No Calls (Automation Only).
From the results, we saw:
The "No Call" cohort activated 40% less and ghosted our outreach emails.
The "OpEx Savings" were an illusion that destroyed the pipeline.
We proved that Activation is the leading indicator for Upsell. Continue the onboarding process aligned with the PLG vision. We built a sustainable playbook targeting only high-confidence leads, while balance operational cost with potential revenue upside.
Read more about product-led onboarding calls and how it lifts activation.
How Do You Fix SaaS Pricing Without Rewriting Code?
Companies often rely on "All-in-One" pricing bundles. While the idea is to simplify choice, high "sticker shock" price tags actually become a friction customers seeking Ala carte solution.
The Product-Led Sales-Assist Support team should run pricing tests, rewriting the offer first with "Wizard of Oz" experiments before spending engineering resources.
What Is the Wizard of Oz Pricing Strategy?
A "Wizard of Oz" test means you manually simulate the new pricing model before building the billing infrastructure. The Sales-Assist team can offer a "secret menu" to close deals with experimental packages, then formalize what works.
Real Example: How to Unbundle SaaS Pricing?
At a prior company, our $10k "All-in-One" package wasn't converting self-serve users. Users felt they were paying for 20 features when they only wanted one. We had a packaging problem.
Instead of wasting months re-engineering billing logic, I ran an Unbundling Experiment:
We gated features behind paywalls to see what users clicked. Data showed a massive spike for one specific feature: "Custom Editing."
We gave the Sales-Assist team a "Secret Menu." We told them: "Forget the $10k bundle. Sell just 'Custom Editing' for $1k, $2k, or $3k. Tell us what clears."
Once we validated the "Killer Feature," we rebuilt the bundle around that. We introduced a new $5k tier led by Custom Editing.
As a result, we replaced zero $10k deals with three $5k deals. We hit our Product-Led Sales quota ($80k ARR) and increased ACV by 2.5x over time because we sped up sales momentum. We didn't code a new billing system until after the revenue was secured.
Learn more about bundling and unbundling packages:

What Is the Product-Led Sales-Assist Leadership Framework?
In a mature B2B organization, "Growth" is not about a hack. It is about Structure.
The Product-Led Sales-Assist Framework is more than just a staffing model; it is a bridge that connects Sales, Product, Finance, and Marketing into a single Revenue Operating System.
For Sales, it acts as an accelerator, handing off "Assisted" leads that close 35% faster.
For Product, it acts as a validator, proving which features actually drive willingness-to-pay.
For Finance, it acts as an auditor, using Holdout Tests to prove the incremental lift of every dollar spent.
It’s three strategic shifts:
Using Diplomacy to end the attribution wars by measuring "Assisted Lift" and questioning efficiency in capturing revenue.
Operating cadence and review on next steps in balancing protect revenue from "efficiency cuts"
Use experimentation agility and low-cost pilots ("Wizard of Oz") to validate pricing before building complex billing infrastructure
Many companies lose their agility by drowning in dashboards and bureaucracy. By implementing Product led sales assist leadership framework, we operationalize growth-as-a-service, ensuring that every experiment, every hire, and every line of code serves the growth North Star, Revenue Efficiency.
Read more:

I write weekly about my learning on launching and leading PLG. Feel free to subscribe.

I am Gary Yau Chan. 3x Head of Growth. 2x Founder. Product Led Growth specialist. 26x hackathon winner. I write about #PLG and #BuildInPublic. Please follow me on LinkedIn, or read about what you can hire me for on my Notion page.









![PLG vs SLG: How to Choose? [Framework]](https://media.beehiiv.com/cdn-cgi/image/format=auto,fit=scale-down,onerror=redirect/uploads/asset/file/add0e243-a663-4f5b-81a5-0554cd609c17/image.png)
![LTV CAC Ratio Payback Formula [Free Download Template]](https://media.beehiiv.com/cdn-cgi/image/format=auto,fit=scale-down,onerror=redirect/uploads/asset/file/44a1862d-a0e4-478c-b87f-038cdd79daef/Screenshot_2024-09-18_at_3.44.16_PM.png)










