Product-Led Growth

What is Product-Led Growth (PLG)?

Product-Led Growth (PLG) is a business strategy that positions the product as the main driver for customer acquisition, engagement, retention, and expansion. This approach focuses on creating a seamless user experience that attracts and retains customers. By doing so, it reduces the need for traditional sales and marketing methods.

In a PLG model, the product itself becomes the central tool for growth. Customers discover the product's value through direct interaction, leading to natural adoption and advocacy. This method helps you achieve lower customer acquisition costs and higher retention rates.

Examples of product-led growth in action

Atlassian

Atlassian follows a bottom-up approach. Individual users find value and advocate internally. This drives widespread adoption without heavy sales. Learn how Statsig can help you adopt similar strategies with feature management.

Calendly

Calendly offers a free, simple scheduling tool. It's easy to use and delivers immediate value. Users naturally upgrade to premium plans. Using an MVP approach can help you quickly launch and iterate on such tools.

Slack

Slack's freemium model showcases core functionalities for free. Users find it immediately useful and engaging. Teams then upgrade for advanced features. Learn from Slack's model and consider using A/B testing to refine your product features.

How to implement a product-led growth strategy

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Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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