Churn and Engagement

The Churn and Engagement dashboard gives you easy and actionable insights on how many of your members are are likely to churn within the next 30 days and how engaged each of them are with your space.

Click on any of the hovering icons to learn more about about the different sections of the dashboard.

What is Churn and Engagement?

Churn

In Nexudus, churn is the percentage of active members who are likely to cancel their contract by the end of the current calendar month.

For example, if you have 100 active members at the start of January and your churn rate is 10%, you could expect around 90 active members by the end of the month.

Engagement

In Nexudus, engagement is a score that determines how likely each of your members are to remain active members of your space. We divide customer engagement into 4 tiers: high, medium, low, and none.

Members with a high engagement score are very likely to renew their contract and recommend your space to others.

We take a number of attributes into consideration, both from your space and each customer to calculate their engagement.

FAQ

Why are some sections of my dashboard empty?

Our AI-powered models need around 3 months of historical data on your space to create your first predictions. If you've recently opened a new location and business was good, you may see some early predicitons but need to wait a few more weeks to see your full dashboard.

How often do you update my predictions?

We update your predictions at the start of every calendar month using data from previous months.

How reliable are my predictions?

While there's no way to accurately predict churn and engagement 100% of the time, your predictions are robust and close to your actual churn and engagement rate. Our AI-powered predictive models also become smarter the longer you've been using Nexudus.

What does each attribute mean?

Each attribute is a characteristic of your space or the customer that influences the overall engagement score of each member. Positive influencers directly reduce churn risk while negative influencers directly increase member churn.