Don't Worry About Churn Anymore!

Identify your customers at risk of churn and develop proactive retention strategies with B2Metric's advanced ML algorithms. Let's reduce your churn rates by 3x with no extra work from your marketing and data teams.

Success? Yeah as expected.

What is Customer Churn?

Customer churn refers to the loss of clients or customers, often expressed as a percentage of total customers, over a specific period.

How Customer Churn Affects Businesses

Revenue loss from departing customers.
Increased acquisition costs to replace lost customers.
Potential negative impact on brand reputation.
Reduced market share.

What Affects Churn Rate?

Poor customer service.
Lack of engagement with the product or service.
Better offers from competitors.
Changes in customer needs or preferences.

What is The Percentage of a "Healthy" Churn Rate?

A "healthy" churn rate varies by industry, but generally, a churn rate of 5-7% annually is considered acceptable for most businesses.

Why Reducing Customer Churn is Important?

Improves long-term profitability.
Enhances customer lifetime value.
Strengthens brand loyalty and customer satisfaction.
Reduces the cost of acquiring new customers.

Difference Between Turnover and Churn

Turnover: Typically refers to the rate at which employees leave a company.

Churn: Refers to the rate at which customers stop doing business with a company.

Improves long-term profitability.
Enhances customer lifetime value.
Strengthens brand loyalty and customer satisfaction.
Reduces the cost of acquiring new customers.

How do we Differ?

What Issues Do We Solve?

• With no-code ML prediction models, we become the best teammate of data science, data analytics, and marketing teams.

• As part of our customized approach, we define churn in various industries and services, such as usage stopping, policy cancellations, and account balance declines.

• Our platform tackles churn prediction by developing customized models that accurately forecast customer churn.

What Issues Do We Solve?

• Our platform tackles churn prediction by developing customized models that accurately forecast customer churn.

• As part of our customized approach, we define churn in various industries and services, such as usage stopping, policy cancellations, and account balance declines.

• With no-code ML prediction models, we become the best teammate of data science, data analytics, and marketing teams.

How Do We Solve These Issues?

• We use advanced machine learning tools like CatBoost and XGBoost to build models that predict churn.

• Our platform automates the churn prediction process from data preprocessing to model deployment.

• We have numerous algorithms to predict churn accurately and provide explanations through decision plots, feature importance, and SHAP values.

How Do We Solve These Issues?

• We use advanced machine learning tools like CatBoost and XGBoost to build models that predict churn.

• Our platform automates the churn prediction process from data preprocessing to model deployment.

• We have numerous algorithms to predict churn accurately and provide explanations through decision plots, feature importance, and SHAP values.

How Do We Solve These Issues?

• We use advanced machine learning tools like CatBoost and XGBoost to build models that predict churn.

• Our platform automates the churn prediction process from data preprocessing to model deployment.

• We have numerous algorithms to predict churn accurately and provide explanations through decision plots, feature importance, and SHAP values.

Maximizing Returns on Customer Relationships

• By combining advanced machine learning with a focus on making things easy to understand, we help your marketing and data teams figure out why customers might leave.

• Our platform leverages a sophisticated AutoML pipeline to streamline churn management and prediction workflows.

Which Technology Do We Employ?

• Our platform leverages a sophisticated AutoML pipeline to streamline churn management and prediction workflows.

• By combining advanced machine learning with a focus on making things easy to understand, we help your marketing and data teams figure out why customers might leave.

How Do We Stand Out?We Solve These Issues?

• We're different from the competition with our SaaS AutoML pipeline, which automates and interprets churn predictions from end to end.

• By using methods like decision trees, feature dependency, and regression coefficients, we provide detailed insights into model decisions, setting a new standard for churn prediction.

How Do We Stand Out?We Solve These Issues?

• We're different from the competition with our SaaS AutoML pipeline, which automates and interprets churn predictions from end to end.

• By using methods like decision trees, feature dependency, and regression coefficients, we provide detailed insights into model decisions, setting a new standard for churn prediction.

How Do We Stand Out?We Solve These Issues?

• We're different from the competition with our SaaS AutoML pipeline, which automates and interprets churn predictions from end to end.

• By using methods like decision trees, feature dependency, and regression coefficients, we provide detailed insights into model decisions, setting a new standard for churn prediction.