Product Led Growth: Made Simple

Product-led growth (PLG) is a business strategy where the product itself is the primary driver of customer acquisition, activation, and retention. Instead of relying heavily on traditional sales and marketing methods, PLG companies focus on creating a product that delivers value to users quickly and allows them to experience its benefits before committing to a purchase.

Step 1

Use AI to determine common pain points or areas that cause friction with your user base.

Step 2

Determine which feature makes sense to implement an LLM.

Here's a feature example where using an LLM would be highly beneficial:

Feature: Advanced Search and Filtering in a Complex Application

Problem: Many applications, especially those dealing with large datasets or complex information (e.g., e-commerce platforms, CRM systems, documentation repositories), have powerful but often cumbersome search and filtering functionalities. Users have to use specific keywords, syntax, or filter combinations to find what they need, which can be frustrating and time-consuming.

How an LLM Helps:

An LLM can revolutionize this feature by enabling users to use natural language to search and filter. Instead of rigid search terms, users could type things like:

• "Find all marketing documents created in the last quarter that mention the new product launch and are relevant to the EMEA region."
• "Show me customers who purchased a product in the last month but haven't been contacted by sales in two weeks."

Step 3

Ensure the feature is sound, usability is good, have an option to gather feedback on this new tool... and implement a free trial.

Step 4

Make sure purchasing feels natural during the experience. Ensure it's easily accessible to unlock this new feature.

Step 5

If possible, have a means for users to easily share this new function. Whether your application calls for social sharing, or some form of community sharing to enable the virality of this fremium feature.

Step 6

Gather feedback and iterate. Then do this again on the next feature that it makes sense to tackle.