Customer Expansion
Elevate customer success with real time usage data
Plock helps some of most impressive SaaS companies to achieve outstanding NRR
Empower Your Customer Success Team To Shine
Seamless, No-Code Integration
Act on upsell opps and make churn prevention decisions faster than ever before. Get going in minutes, no coding required.
People us and we love them
Using AI to make Customer Success the stars they are
Our AI suggests what to do
Plock’s LLM
Frequently asked questions
How can you predict churn?
With Plock, customer success teams can finally see in real time exactly how their customers are using their service, right down to usage metrics in the database you didn't even know you were storing. This real-time monitoring offers unparalleled insight into which features customers are engaging with, how frequently they log in, and where their usage patterns are dropping off. But it doesn’t stop there—our AI-agents analyze these patterns against historical churn data, learning which behaviors often precede churn and flagging current customers who show similar trends.
How do I get Plock signals in my CSM tool?
You probably dislike switching between platforms or digging into multiple systems to get a complete customer view. Plock feeds signals for churn, upsell and downsell natively into Hubspot, and we happily integrate the same data feed into your everyday CSM tool. This way, customer success managers (CSMs) have all the insights they need—usage trends, risk alerts, engagement patterns—right where they already manage their daily tasks.
Our data is a mess, will Plock work?
AI excels at transforming chaotic, unstructured data into organized information. You'd be surprised. Connecting Plock to one or multiple data sources is the first step in your onboarding. Our promise is that you can start monitor customer consumption behaviour 5 minutes later.
We don't have real time data, will Plock work anyway?
Even with daily data updates, Plock remains very powerful for your CS teams for several reasons.
Daily analysis allows for the detection of significant usage changes, enabling timely intervention before churn escalates.
AI can still create effective predictive models using historical patterns to forecast churn risk as well as identify upsell potential among customers.
In summary, daily access to usage data empowers customer success teams to take informed actions on daily basis, instead of having to wait for a Quarterly Business Review deep dive.