Product-led growth: growing through the product

What is product-led growth

Product-led growth (PLG) is a business growth strategy in which the product itself is the primary driver of user acquisition, activation, retention, and expansion. In a PLG model, the product does the work that in other models is done by the sales or marketing team.

The term was popularized by OpenView Venture Partners in 2016, though the model already existed with companies like Dropbox, Slack, and Atlassian as pioneering examples. Since then, PLG has become one of the most studied and adopted growth frameworks in the SaaS and software world.

The central idea is that the best way to convince someone to pay for your product is to let them use it first. If the product has clear value and can be delivered accessibly (free trial, freemium, limited version), users who experience it and find value become paying customers without needing a complex sales cycle.

This doesn't mean sales or marketing are unnecessary in PLG. It means the product acts as the first filter and primary sales argument: the commercial team enters once the user has already experienced value, not before.

Differences between PLG, sales-led, and marketing-led

To understand PLG, it's useful to contrast it with the two more traditional growth models.

Sales-led growth (SLG)

In the sales-led model, growth depends primarily on the sales team. The typical cycle is: marketing generates leads, sales qualifies and closes them, the customer starts using the product. The product comes in at the end, after the purchase decision has already been made.

It's the dominant model in enterprise software with high tickets and long sales cycles. Acquisition cost is high because it requires a lot of human time. Scalability is limited because it's tied to the growth of the sales team.

Marketing-led growth (MLG)

In the marketing-led model, growth is driven through content, advertising, and brand. The objective is to generate demand and attract prospects who will then convert through sales or directly. The product still comes in at the end of the process.

It's the dominant model in ecommerce, media, and mass consumer product businesses. Scalability is greater than in SLG, but it still depends on acquisition spending.

Product-led growth (PLG)

Dimension	Sales-led	Marketing-led	Product-led
Primary growth engine	Sales team	Campaigns and content	The product itself
First contact with value	After purchase	After purchase	Before purchase
Acquisition cost	High	Medium-high	Low-medium
Scalability	Low	Medium	High
Time to value	Long	Medium	Short
Ideal for	Enterprise, high tickets	B2C, ecommerce	SaaS, digital tools

The key difference is when the user experiences the product's value: in PLG, they experience the value before paying. That experience is the sales argument.

Key metrics in PLG

PLG has its own set of metrics that reflect the effectiveness of the product as a growth engine. The most important are:

Time to Value (TTV)

The time it takes a new user to experience the core value of the product (the "aha moment"). The shorter the TTV, the higher the activation rate. If a user doesn't reach the aha moment, they probably won't convert to paid.

Reducing TTV is one of the optimization objectives most directly tied to PLG: eliminating unnecessary steps in onboarding, guiding the user toward the value-generating action sooner, simplifying initial setup.

Activation Rate

The percentage of new users who reach the aha moment within a defined period (typically the first 7 or 14 days). It's the metric that best predicts long-term retention and conversion to paid.

A low activation rate indicates the product isn't delivering its value quickly or clearly enough — not necessarily that the value doesn't exist.

Product Qualified Lead (PQL)

A PQL is a free user who has reached a level of usage or behavior within the product indicating high propensity to convert to paid. It's the PLG equivalent of the MQL (Marketing Qualified Lead) in traditional marketing.

Each company defines its own PQL criteria based on the behavioral patterns of users who did convert. Typical examples:

User who has invited 3 or more collaborators to the workspace
User who has created more than 10 projects in the last 30 days
User who has hit the limit of their free plan twice in a row

Expansion Revenue (Net Revenue Retention)

In PLG, growth comes not only from new customers but from expansion within existing ones: users who upgrade from free to paid, who increase their plan, or who buy more seats for their team.

Net Revenue Retention (NRR) measures whether existing customer revenue grows or decreases month over month. An NRR above 100% means the business grows even without acquiring new customers.

Viral coefficient

The viral coefficient measures how many new users each existing user generates through invitations, referrals, or sharing inherent in the product. In the best PLG cases, the product is designed so that using it naturally implies inviting others (Slack, Notion, Figma).

Real examples of PLG

Dropbox

The Dropbox case is the most cited in PLG history. Instead of explaining what cloud storage was, Dropbox offered 2GB for free and made installing and using the service so simple that the product explained itself.

Dropbox's most brilliant PLG element was its referral program: sharing with a friend gave you more free space — for both you and the invitee. This turned the product into an acquisition channel. In 2010, Dropbox reported that 35% of its daily signups came from its referral program.

Slack

Slack grew exponentially without a sales team during its early years. The model was simple: a work team could use Slack for free with some limitations. When usage became indispensable and the team wanted more features or message history, the IT department or team lead bought the paid plan.

The product itself generated virality: when you use Slack with a team, you inevitably invite more people. Growth was organic and acquisition cost was minimal.

Notion

Notion started as a free personal note-taking tool. Users adopted it individually, discovered its value, and then introduced it to their teams. The paid plan was bought when the team needed to collaborate with more people or needed advanced features.

In 2021, Notion reported more than 20 million users with a minimal sales team. The product was the main marketing and sales channel.

Figma

Figma (acquired by Adobe in 2022) democratized design with a collaborative freemium model. A designer could invite developers and stakeholders to review designs without them having to pay. This generated massive adoption and, with it, the need for paid plans for larger teams.

How to implement PLG in your company

1. Define your product's aha moment

The first step is identifying what specific action within your product generates the greatest change in retention and conversion. Analyze the behavior of your users who did retain and convert: what did they do in their first days that others didn't?

This moment — the aha moment — becomes the north star of your onboarding strategy.

2. Design onboarding to reach the aha moment fast

Remove everything that doesn't contribute to getting the new user to the aha moment as quickly as possible. That includes long registration forms, complex setup screens, generic tutorials, or secondary features that distract from the core value.

3. Create a real freemium or free trial model

PLG requires users to be able to experience value without financial friction. Freemium (with limitations but no time limit) and free trial (complete but temporary) are the two most common models. Which to choose depends on how long it takes the user to perceive value.

4. Identify your PQLs and automate the conversion process

Define what behaviors within the product indicate high purchase intent. When a user reaches those behaviors, activate specific communication flows: conversion emails, in-app pop-ups, sales team contact for enterprise accounts.

5. Measure and optimize the PLG funnel

PLG funnel stage	Key metric
Acquisition	Signups / Visits
Activation	Activation Rate (% reaching aha moment)
Retention	Retention at 7, 14, and 30 days
Monetization	Conversion to paid (free-to-paid)
Expansion	NRR, upgrade rate
Referral	Viral coefficient, invitations sent

Conversion optimization in a PLG model focuses on reducing friction between acquisition and activation, and between activation and monetization. These are the two most common bottlenecks.

PLG is not just a growth strategy: it's a way of thinking about the product that puts user experience at the center of every decision. If the product doesn't deliver value quickly and clearly, no amount of sales or marketing effort can compensate for it in the long run.

To diagnose which elements of your activation funnel are generating friction, try Scan&Boost.

Adrià Vidal, CRO specialist at Boost.