The ultimate guide to adding a PLG motion | Hila Qu (Reforge, GitLab)
Lenny interviews Hila Chiu, an expert in product-led growth (PLG), to discuss starting and optimizing PLG motions. They cover common pitfalls, essential components, data infrastructure, team building, and strategies for activation, conversion, and retention.
Deep Dive Analysis
15 Topic Outline
Hila's Background and Impact of Guest Posts
The Necessity of Both PLG and Sales Motions
Defining Product-Led Growth (PLG) and Its Popularity
Common Pitfalls When Implementing Product-Led Growth
Essential Elements for a Successful PLG Strategy
Understanding and Mapping the PLG Funnel
GitLab's Blended Sales and Product-Led Growth Funnel Example
Auditing the PLG Funnel and Identifying Areas of Leverage
Defining the 'Aha Moment' and Conducting a Data-Driven Audit
Focusing on Activation and Conversion Opportunities
Activation as a Key Starting Point for PLG
Strategies for Improving Retention and Expansion
Hila's Experience Improving Retention at Acorns
Essential Data Buckets and Infrastructure for PLG Success
Building and Evolving a PLG Team and Organization
9 Key Concepts
PLG Purist
This term refers to individuals who believe that Product-Led Growth (PLG) is the sole necessary motion for a business, suggesting that sales teams are not needed. Hila Qu clarifies that she does not subscribe to this view, advocating for the strategic combination of both PLG and sales motions.
Product-Led Growth (PLG)
PLG is a B2B approach where end-users can try a product before buying, mirroring common B2C experiences. It has gained popularity because B2B users, like B2C consumers, increasingly demand the ability to test and experience a product directly before committing to a purchase.
Data-Led Growth (DLD)
Hila Qu fundamentally views PLG as Data-Led Growth (DLD). This means that offering a free product is only valuable if the company actively collects and analyzes user behavior data to understand feature usage, conversion drivers, and retention factors, otherwise, the free offering yields no strategic benefit.
Sales-Led Growth (SLG) Funnel
This is a traditional B2B sales process where marketing efforts primarily focus on generating leads and qualifying them based on their engagement with marketing campaigns, such as opening emails or downloading whitepapers. These Marketing Qualified Leads (MQLs) are then passed to a sales team for direct engagement and closing deals.
PLG Funnel
Distinct from the SLG funnel, the PLG funnel is more akin to a B2C model where users sign up for a free version or trial, and product usage becomes the primary indicator of potential success. Conversion can occur through self-service checkout for smaller deals or by sales teams engaging Product Qualified Leads (PQLs) for larger, more strategic accounts.
Aha Moment
The 'Aha Moment' is the critical point when a user first experiences the core value or benefit of a product. For B2B SaaS, this often means realizing how the product supports a workflow, saves time or money, or effectively solves a specific pain point, making it a key milestone for user activation and retention.
Product-Led Expansion
This strategy focuses on increasing the value derived from existing customers within a product-led growth model. It involves encouraging users to upgrade to higher tiers, purchase additional seats or licenses, or consume more add-on components, often triggered by their increasing usage and demonstrated value from the product.
Data Dictionary
A Data Dictionary is a crucial document that meticulously defines all key actions and events tracked within a product, including their specific event names and associated properties. Its purpose is to ensure consistent understanding and interpretation of data across all teams, preventing miscommunication and ensuring the integrity of analytics efforts.
Recurring Investment (Acorns)
At Acorns, Recurring Investment is a feature allowing users to set up automatic, regular contributions to their investment accounts. Hila Qu identified a strong correlation between users setting up this feature and higher retention rates, effectively transforming a retention challenge into an activation problem by driving adoption of this high-value action.
16 Questions Answered
Companies benefit from both: PLG offers broader reach and lower barriers to entry, attracting more end-users, while a sales motion allows targeted pursuit of large, high-value customers, providing a strong and stable revenue foundation.
A product-led product typically has a very low barrier to entry (e.g., a free version or free trial), a self-service checkout flow for upgrades, and a design that enables the free product to spread organically among users.
Common pitfalls include not having a low-barrier entry point (like a free trial), underestimating the long-term commitment required (thinking it's just adding a free trial), and lacking a robust data foundation or the necessary PLG expertise to understand and leverage user behavior.
Red flags include believing PLG is merely launching a free version, not assigning a dedicated team (instead, tasking one person to 'figure it out'), and pursuing PLG primarily because it's trendy rather than a strategic fit for the business's specific product and market.
No, PLG is not suitable for every company, especially those with very few target customers (e.g., defense contractors) or highly complex products that require significant customization. It is best suited for products with relatively low complexity and a short time to value.
Success requires a free or self-serve vehicle, a quick time to value for users, a seamless self-serve checkout experience, a strong data foundation to understand user behavior, and simple, easily understandable pricing.
The first step is to thoroughly understand and map out both the PLG funnel and the traditional Sales-Led Growth (SLG) funnel. This involves identifying the distinct steps in each and recognizing how they differ, particularly in the emphasis on product usage as a key indicator in PLG.
To identify an aha moment, first brainstorm potential high-value user actions. Then, perform a correlation analysis to see which of these actions strongly correlate with higher conversion and retention rates, and finally, validate these correlations with A/B experiments to confirm causation.
Activation (helping users quickly see value) and conversion (making the self-checkout process efficient) are common and impactful starting points. Product-led acquisition is ideal for collaborative products, while Product Qualified Lead (PQL) motions are typically more suitable for later stages of PLG maturity.
Activation is often a good starting point because B2B software historically wasn't designed for quick user adoption. Improving activation helps users quickly experience value, which serves as a strong lever for both increasing conversion rates and improving long-term retention.
The two main buckets are granular product usage data, detailing how users interact with the product, and a 'customer 360' database. This database connects product usage information with marketing campaign data and CRM details (e.g., Salesforce) to provide a holistic view of each customer.
Begin by auditing existing data instrumentation to identify gaps and ensure data quality, then establish a data dictionary for consistent event definitions. Next, invest in a data hub (like Segment), a product analytics tool (e.g., Amplitude), an experimentation tool (e.g., Optimizely), and a lifecycle marketing tool.
A common approach is to hire a Head of Growth (or Lead Growth PM) to lead, then build a 'core growth squad' with dedicated engineering, design, and data support. Alternatively, a cross-functional 'tiger team' can be formed for specific, temporary initiatives, especially if the initial focus is on Product Qualified Leads (PQLs).
The most essential functions for an initial MVP PLG team are a Growth PM (as the lead, possessing strong analytics and experimentation skills), a dedicated Data Analyst (often the very first hire for insights), dedicated Engineers, and some Design support (which may not need to be fully dedicated initially).
After achieving initial wins, the team expands into a 'PLG org' with dedicated leaders for Growth Product (reporting to product), Growth Marketing (reporting to marketing), and Product-Led Sales (reporting to sales). These leaders then own specific metrics aligned with the PLG funnel, such as high-quality signups, activated teams, and PQL conversion into revenue.
Hila's favorite growth concept is the North Star metric. She values it because it compels long-term strategic thinking and helps define what is truly valuable, not only in the context of business growth but also in personal life and career aspirations.
40 Actionable Insights
1. Commit Long-Term to PLG
View Product-Led Growth (PLG) as an entire motion requiring a 1-2 year roadmap and internal process changes, rather than a quick fix or just launching a free trial.
2. Integrate PLG and Sales Motions Early
Combine Product-Led Growth (PLG) for broad reach and low barrier to entry with a sales motion for targeting and closing large, high-value customers from an early stage to leverage the benefits of both.
3. Build a Strong Data Foundation
Establish robust data collection and analysis capabilities to understand user behavior and design effective PLG user journeys, as PLG is fundamentally data-led growth.
4. Assess PLG Fit for Business
Before committing to PLG, deeply consider if your product has low complexity, minimal customization needs, a short time to value, and targets a large base of end-users or SMBs, as it’s not suitable for all businesses.
5. Design PLG Products with Low Barrier
Ensure your PLG product offers a free version or trial that requires no manager approval, includes a self-service checkout, and naturally encourages organic spread.
6. Reduce Time to Value
Provide users with a ‘warm start’ (e.g., sample videos, templates, pre-filled actions) to quickly experience mini ‘aha moments’ and reduce the time it takes to see value in your product.
7. Define “Aha Moment”
Clearly define your product’s ‘aha moment’ as the first time a user genuinely experiences its core value, using correlation analysis and A/B experiments to validate and drive this milestone.
8. Implement Self-Service Checkout Flow
Ensure your product has a ready, smooth, and easily discoverable self-service checkout flow, providing users with the option to purchase on their own once they’ve experienced value.
9. Maintain Simple, Transparent Pricing
Keep your pricing model relatively simple and transparent to avoid confusing users during the self-checkout process, enabling easy understanding of costs and frictionless purchases.
10. Conduct a Full PLG Funnel Audit
Perform a comprehensive PLG funnel audit by role-playing as an end-user, from website discovery to product usage and purchase, to identify points of confusion, friction, and opportunities for maximum impact.
11. Prioritize Activation and Conversion
After a PLG funnel audit, combine user experience insights with high-level data for each step to identify the biggest opportunities, often finding activation and conversion as the most impactful starting points.
12. Build Core Growth Squad
Initiate your PLG efforts by hiring a data-driven Growth PM (or Head of Growth), a dedicated Data Analyst (potentially as the first hire), a dedicated Engineer, and design support.
13. Prioritize Data Collection Quality
Before selecting product analytics tools, ensure robust data collection and instrumentation, as ‘garbage in, garbage out’ will render any tool ineffective; focus on foundational data quality first.
14. Create a Data Dictionary
Conduct a data instrumentation audit to identify key actions, verify tracking, and address gaps, then establish a comprehensive data dictionary with event names and properties to ensure consistent data definition and understanding across teams.
15. Establish Core PLG Data Infrastructure
Set up a core data infrastructure including a data hub (e.g., Segment), a product analytics tool (e.g., Amplitude), an experimentation tool (e.g., Optimizely), and a lifecycle marketing tool for behavior-driven communication.
16. Leverage Free Products for Data
Give away a free product to gain broader reach and, crucially, to understand user behavior and feature usage that correlates with higher conversion and retention rates.
17. Prepare for Internal Process Changes
Understand that adding PLG requires building a new free experience, convincing existing sales, product, and marketing teams, and adapting internal processes to accommodate broader user access and data-driven behavior analysis.
18. Understand PLG as Full Motion
Avoid the pitfall of equating PLG solely with launching a free version; instead, recognize it as an entire motion encompassing activation, upgrade paths, and cross-functional team collaboration.
19. Dedicate a Team to PLG
Avoid assigning PLG efforts to a single individual who must borrow resources and coordinate all stakeholders, as this approach is often unsustainable and requires a ‘magician’ to succeed.
20. Prioritize Product Usage
In PLG, shift focus from marketing campaign interactions (as in sales-led funnels) to product usage as the primary leading indicator of success, actively driving users to experience the product directly.
21. Establish Dual PLG Conversion Paths
Design two PLG conversion paths: a self-service, automated online purchase for lower-priced products, and a sales/customer success-led outreach for high-usage, ideal customer profile (PQL/PQA) accounts to maximize deal size.
22. Whiteboard and Detail PLG Funnel
Map out the entire PLG funnel on a whiteboard, from marketing site to free sign-up, product usage, and checkout, then dive into granular details for each step to identify missing components and optimization opportunities.
23. Optimize Self-Checkout Flow
Relentlessly optimize the self-checkout flow by ensuring it’s easy to find, localized (e.g., supporting relevant payment solutions), and frictionless, conducting numerous experiments to maximize success rates.
24. Develop Product-Qualified Lead Motion
For blended sales, establish a PQL/PQA motion by identifying data signals and customer criteria (size, segment) that indicate high-value leads, then set up processes to gather this data and effectively hand it off to the sales team.
25. Invest in Product-Led Acquisition
If your product is a collaboration tool with inherent viral loops (e.g., users inviting team members), prioritize building features that facilitate product-led acquisition to leverage its powerful organic spread.
26. Address Retention by Building Habits
For retention, focus on building habitual usage patterns by ensuring your product has high enough frequency, involves collaboration, or is deeply integrated into users’ workflows.
27. Introduce High-Frequency Use Cases
If your product inherently has low usage frequency, introduce new features or use cases that encourage higher, more habitual engagement (e.g., adding spending accounts to an investment app) to improve retention.
28. Leverage Data for Product-Led Expansion
For product-led expansion (upgrades, more seats, consumption add-ons), use data to understand user usage and behavior, then trigger the right conversations or prompts at the optimal moments for individual users.
29. Improve Retention by Optimizing Activation
To significantly boost retention, identify specific features or actions that correlate highly with long-term retention and then conduct experiments to drive more users to adopt or experience these features early in their journey.
30. Build a Customer 360 Database
Develop a ‘customer 360 database’ by integrating granular product usage data with marketing campaigns and CRM information (e.g., Salesforce) to gain a holistic view of customers and prospects for successful PLG.
31. Invest Heavily in Data
Recognize that data is the core of PLG; invest significant time, money, and team resources into data collection and usage analysis, as it not only fuels PLG but also empowers product and customer success teams.
32. Utilize Specialized PLG Tools
Supplement core infrastructure with specialized PLG tools: data enrichment (e.g., ZoomInfo), no-code onboarding builders (e.g., Appcues), and product-led sales tools (e.g., Endgame).
33. Invest in Data Warehouse & ETL
As your business grows and accumulates user data, invest in establishing a robust data warehouse (e.g., AWS Redshift) and ETL solutions to ensure data scalability, reliability, and analytical depth.
34. Start PLG Team with Growth Lead
Initiate your PLG efforts by hiring a Head of Growth or Lead Growth PM with relevant experience, then build a core growth squad with dedicated engineering, design, and data support.
35. Form Cross-Functional “Tiger Team”
Consider forming a temporary, cross-functional ’tiger team’ involving product, data, and sales if your initial PLG focus is on developing Product-Qualified Leads (PQLs), as this requires deep collaboration across departments.
36. Secure Early Wins for New Teams
Empower new growth teams with resources, a clear focus, and time to achieve early wins, as these successes build momentum and organizational confidence to support further PLG expansion.
37. Evolve to Cross-Functional PLG Org
Transition from an initial PLG team to a formalized PLG ‘org’ with dedicated leaders for Growth Product, Growth Marketing, and Product-Led Sales, fostering strong cross-functional collaboration around shared PLG metrics.
38. Define PLG-Specific Metrics
Establish distinct PLG metrics for each functional leader: high-quality sign-ups for top-of-funnel, usage/activation (e.g., activated teams, PQLs) for Growth Product, and PQL conversion rate/revenue for Product-Led Sales.
39. Hire Internal Growth PM
Prefer hiring an internal candidate (e.g., existing PM, analytical analyst) for a Growth PM role, but if hiring externally, match the candidate’s experience to your initial PLG focus area.
40. Host Team Podcast Listening Sessions
Conduct team listening sessions for podcasts over Zoom, sharing insights and lessons in a shared chat, to facilitate collective learning and discussion.
5 Key Quotes
PLG, I always say, is actually fundamentally DLD, data-led growth.
Hila Qu
If you don't have a foundation of data and understanding of how to analyze those data, you are giving away a free product for nothing.
Hila Qu
I learned finding leverage from him. You talk about, there are four types of leverage. It can be your writing, it can be code, it can be capital, it can be team.
Hila Qu
What is the experiment you launched that has a very unexpected result? And what did you do after that?
Hila Qu
I would say North Star metric because I find it's not only valuable to growth, it's valuable to just everything, right?
Hila Qu