Redefining In-App Product Experience for Modern PLG Companies
Product-led growth (PLG) companies deliver their core product value through the product itself. As a result, the in-app user experience is critical for driving user engagement, conversion, and retention. However, many PLG companies still follow traditional approaches for their in-app product experience. This article discusses the importance of redefining in-app product experiences to align with modern user expectations.
What are PLG Companies?
PLG companies differentiate themselves by offering their core product value inside a software application. This allows users to experience the product’s value firsthand before becoming paying customers. PLG companies include collaboration apps like Slack, Zoom, and Notion.
Why In-App Product Experience?
Matters Since PLG companies rely on users actively engaging with their products, the in-app experience must be intuitive, frictionless, and personalized. Optimizing the product experience directly impacts business metrics like user onboarding, conversion, and retention.
Purpose of Redefining In-App Experiences
Most PLG companies currently follow legacy approaches in designing product experiences within their applications. By redefining the core elements of their in-app product experiences, PLG companies can significantly improve business growth.
Key Elements for Redefining Experiences
There are three main elements PLG companies need to rethink to optimize in-app product experiences.
- User Interface Design An intuitive user interface (UI) with customizable layouts is table stakes for modern apps. Apps should guide users while allowing personalization.
- Onboarding Journeys Onboarding sets initial impressions, so onboarding tours should educate users on core workflows while minimizing friction.
- Feature Discoverability Users struggle to discover app capabilities over time. Features should be highlighted contextually, and tooltips can further enhance discoverability.
Leveraging Data for Personalization
Analytics of user behaviors and feedback are instrumental in driving personalized experiences. Predictive analytics and machine learning algorithms can further enhance personalization.
Continuous Improvement
In-app experiences require constant refinement based on experiments and user analytics. Performance indicators should track engagement to identify areas needing optimization.
Hope you enjoyed reading this piece! If you’re interested in learning how to implement similar features for your own product, I’d love to chat. Schedule some time with me here and we can dive deeper into the details. You can also learn more on Quest’s website here!
