How Churn Assassin Works

2-Minute Setup

It all starts when you complete a simple setup.

Add the Churn Assassin tracking snippet to your SaaS product—copy and paste it yourself or let your team handle it
The snippet works silently, with no lags, no bugs, and no disruptions to your app’s user experience
Once installed, Churn Assassin starts collecting data immediately and learning about your users and application
Then, Auto-Pilot takes over, guiding you with actionable insights

Churn Assassin Code Snippet - 2 Minute Install

Auto-Pilot Takes Control

Once the tracking code is in place...

Your users won’t notice a thing—Churn Assassin works quietly in the background
Meanwhile, every interaction is captured, encrypted, and sent to our secure systems to build a rich database of user activity, clients, and behavior
Next, our models get to work analyzing your data for meaningful patterns

Our Models Engage

Churn Assassin’s models:

Analyze user engagement data captured by the tracking code against 300+ known evidence-based churn behaviors and signals
Detect anomalies in user engagement and client activity
Group clients into clear risk categories: High, Normal, Low
Provide Renewal Probability Scores and Churn Predictions to guide your focus
Improve over time as they learn more about your clients, users and application
Generate detailed, automated, and actionable reports so you retain more customers
Note: Your data is stored separate and not shared with our other customers

Automated Reports

Churn Assassin sends automated reports to you and your team.

Daily, weekly, monthly, quarterly and annual reports
Customize which reports you wish to receive
Reports include:
- Client risk breakdowns
- New Predictions
- Revenue at Risk
- Renewal Probability Score changes
- Detailed KPI and Metrics
- Actionable Insights
- and much more

Daily Automated Email from Churn Assassin

Retain Client Accounts

You take the wheel. Once a prediction is made:

It's go time for you and your team
Use your own churn mitigation playbooks through manual or automated outreach
Utilize Churn Assassin's features to get the full account picture
Instantly turn your CRM into an early intervention machine with automated email nurturing of at risk-clients with our integrations
Increase revenue retention & Achieve retention goals

The data-science behind the solution

Churn Assassin employs sophisticated strategies, technologies, and methods utilized by leading companies like Amazon, Google, and Netflix, which were once inaccessible. Explore the science and data-science behind Churn Assassin. If you don't recognize the names mentioned below, there's no need to worry. We've simplified data-science for everyone.

Average True Range

Average true range (ATR) is a technical analysis indicator that measures volatility by decomposing the entire range for a period of time. This process allows for deeper understanding of day-to-day variances in behaviors.

Standard Deviation Analysis 

A standard deviation is a measure of how dispersed the data is in relation to the mean. Low, or small, standard deviation indicates data are clustered tightly around the mean, and vice-versa.

Relative Strength

The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a recent activity changes to evaluate usage thrust conditions.

Notable Behavior Monitoring

You probably already recognize which specific areas of your application signal trouble when a customer accesses them. Maybe an account billing page, subscription cancellation page, etc. We watch specifically for these known behaviors.

Dynamic Aggregate Analysis 

Dynamic Aggregate Analysis is an indicator commonly used in technical analysis. The reason for calculating the Dynamic Aggregate is to help smooth out the activity/behavior data by creating a constantly updating value.

Stochastic Strategy

Stochastic oscillator is a momentum indicator comparing a particular value to a range of its values over a certain period of time.

High/Low Monitoring

Being aware of when customers achieve new usage milestones can provide valuable insights and enhance your efforts in preventing churn.

User Ghosting

Churn frequently occurs when a key user in a customer's account exits the organization. Customer Success Managers are often taken by surprise as this information typically arrives too late. Having access to this information almost immediately allows you to respond promptly.

Random Forests

Random Forest is an ensemble learning method used for classification and regression tasks. It builds multiple decision trees using different random samples of the data and combines their predictions for a final result.

Logistic Regression

Logistic Regression is a statistical model used for binary classification problems—where the outcome is one of two classes (e.g., churned vs. not churned). Despite its name, it’s not actually a regression model; it’s a linear model for classification.

Gradient Boosting

Gradient Boosting is an ensemble learning technique used for both classification and regression tasks. It builds a series of decision trees sequentially, where each new tree focuses on correcting the errors made by the previous trees. Gradient Boosting learns in stages, optimizing the model by gradually minimizing the loss (error).

Neural Networks

Neural Networks are inspired by the human brain. They consist of layers of interconnected nodes (neurons), where each neuron takes in inputs, processes them with weights and biases, and passes the result through an activation function. The network learns by adjusting these weights based on the error using a process called backpropagation.

becoming a

Churn Assassin

means never being caught off-guard again by a cancelling client. With the full power of our evidence-based churn signals you can rest easy knowing we are monitoring every client, every day, so you don't have to.

Get Started

Here's How It Works