Customer-facing teams at SaaS companies need clear insights on who their customers are, and what they’re doing on your platform. With stage view, journy.io provides a SaaS growth pipeline, with accounts/users clearly ordered by lifecycle stage, and which includes key details, from which trials are ready to buy, over whom got stuck in which onboarding step, to which customers are ready to expand or to churn.
Unlike a traditional sales CRM, where the sales person ‘drags a deal’ from one stage to another, it’s your platform and ecosystem apps (CRMs, Marketing Automation and Ticketing systems, chat-, email and other collaboration tools, etc...) that —combined 🙌— sets the rules for putting accounts/users automatically in defined stages, at defined heath, triggering defined signals and executing engagement actions. Stage view is the best spot to see all this taking place.
Stage headers will provide detailed information about all accounts/users in the stage, while stage footer will sum all MRR.
Traditional customer tools do not provide enough context about the activation cycles that [segments of] signups and customers are traversing. So they basically fail to give adequate details to Sales and CS teams, in order for them to act properly on their deals and cases.
We’ve built Stage View —and are building other features— to provide an easier way for aforementioned teams to understand where their customers are in their activation process, and how to act on signals they triggered, either automatically through playbooks...either manually.
We also included quick filters to ease the process of finding those entries that need your attention. And you can sort those on any possible property, even on those synced from Salesforce, HubSpot, and other...
Setting up the stages, once having connected your platform and ecosystem apps, is a breeze.
Following about two years of research and model testing, we're proud to finally release Smart Signals ✨, small logical indocators that reflect the state of each account/user within a PLG motion. Leveraging Machine Learning 🤖, yet flexible enough to be altered by customers, they eventually shape the foundation for **automatically** detecting signups that are most likely to buy, to expand, or the churn.
Whether setting up workflows for freemium and trial signups to convert more, or for paying customers to be expanding towards a higher tier, or preventing to churn, being able to compare and optimise different workflows for maximum goal conversion is pretty much on every sales and CS leader’s list.
We’ve released Inbox, a place where each platform account/user that needs supervised intervention gets a case with to-do tasks and best-next actions. Built from the ground up for sales and customer success teams, they now have the power to orchestrate outreach throughout the entire organisation... the PLG way!
Changing the way you do business, case by case.
Onboard. Monitor. Get expansion signals. Reduce churn, proactively. Grow.
Automatically detect churn & expansion candidates.
Accelerate onboarding and product adoption.
Align activities around 360° customer view, with health and onboarding scores.
Automated CS playbooks and collaborative inbox.
Detect which signups are most likely to buy. Sell more with less effort.
Automatically surface product qualified leads.
Prioritize PQLs call lists and engage with quick actions.
Add tasks and full PQL context to existing CRM and other engagement tools.
Automated sales playbooks and collaborative inbox.
Build revenue workflows, based on how people use your product.
Use machine learning to uncover new sales opps.
Add slow accounts to nurturing campaigns.
Optimize engagement playbooks for maximum conversion.
Leverage any data without needing engineering.
See which impact your product features have on revenue and churn.
Analyse feature importance, usage and impact.
Build key product metrics without SQL, nor coding.
Easily create customer segments based on any product interaction.
Comply to GDPR and CCPA.
Create your free account and start driving a product-led growth strategy with the tools you're already using.