PLG for SaaS is skyrocketing at an unprecedented rate. From the rapid technological advancements to the rise of cloud computing, delivering and developing innovative products have made it equally easier and more efficient for SaaS companies, leading to a highly competitive market where players strive to stand out through exceptional user experience and cutting-edge product functionalities. In fact, 61% of BVP cloud 100 companies are PLG, with 7 out of 10 new SaaS companies going for a PLG approach.
Here’s the catch: every user interaction generates an abundance of data. From log times, and added integrations, to onboarding notifications, just to name a few, companies are now left with a massive data repository, times a thousand. Moreover, the wealth of data often ends up in different silos, which limits how it can be utilized for growth. To bridge this gap, companies are starting to break silos to build an internal stack.
The reality is that this process can be tedious, lengthy, and costly, but due to the endless potential of data consolidation, organizations invest time and resources to uncover revenue opportunities, reduce churn risks, identify important touchpoints, and craft personalized user experiences. Despite these benefits, the data consolidation pains of SaaS companies remain palpable.
This is where Coho AI steps in. This product-led revenue platform enables companies to maximize the revenue potential of their user base. Coho AI enables go-to market and growth teams to enhance their market strategies and identify, forecast, and prioritize important sales prospects.
Consolidate, Discover, and Automate
Coho AI provides SaaS companies with a range of valuable capabilities. Firstly, it enables businesses to consolidate all their data sources into a single, unified platform, eliminating the need for managing multiple data silos and providing a comprehensive view of the organization’s data landscape.
Moreover, Coho AI’s advanced analytics capabilities allow SaaS companies to discover revenue opportunities and actionable insights. By leveraging sophisticated algorithms and machine learning techniques, the platform can uncover patterns, trends, and correlations within the data. This valuable information helps businesses make informed decisions and identify areas for growth and optimization.
Lastly, Coho AI helps automate workflows, enabling SaaS companies to achieve maximum impact and value from their operations. By automating routine and repetitive tasks, employees can focus on more strategic initiatives, improving productivity and efficiency. This automation capability also reduces the risk of errors and ensures consistent and standardized processes across the organization.
Inside Coho AI
Coho AI includes key features that can help businesses optimize their conversion metrics and user engagement:
With Data-Driven Lead Identification, sales teams can streamline their pipeline with notable precision. This feature excels in spotlighting highly engaged leads and accounts showing a strong inclination towards the product. It also provides insights into usage patterns, facilitating the anticipation of the next potential opportunities in the pipeline.
Adding to these capabilities, Lead Explainability presents real-time insight into user actions and engagement levels. This crucial tool unveils the underlying reasons behind lead qualification, fostering communication and offers that are tailored to meet specific user needs.
A patent-pending innovation, the User Journey feature, aids in constructing detailed maps of user paths. This tool helps identify bottlenecks and opportunities, enabling growth teams to structure and oversee user journeys, while analyzing conversion rates at each stage. Importantly, it flags areas where users might need additional assistance, and brings to light alternative pathways and optimization ideas.
Segmentations offer a means for teams to categorize users based on their usage, persona, or specific use case. This functionality allows for the design of personalized user experiences, catering to the unique needs of each user group.
Completing the feature set are the Automatic Triggers. These tools set in motion both external automations – launching playbooks and workflows for timely responses within the existing tech stack, and internal notifications for immediate alerts when users are ready to make a purchase or achieve important milestones.