Customer churn probability

Predict and Prevent Customer Loss - Intelligent Churn Probability Analysis.

Challenges addressed

High cost of acquiring new customers compared to retaining existing ones.
Lack of effective tools to identify customers at risk of leaving.
Low effectiveness of retention efforts and personalized offers.

SLS-powered solutions

AI-driven analysis of customer behavior and identification of churn signals.
Predictive analytics to forecast risk of customer churn.
Automation of retention strategies through dynamic offers and campaigns.Integration with CRM, marketing automation and transactional databases.

Results achieved

Reduce churn rate by 40%.
Increase the effectiveness of retention campaigns by 25%.

Customer churn probability

Customer loss is one of the biggest challenges for companies. The cost of acquiring a new customer is many times higher than retaining an existing one, so early detection of warning signs and effective preventive actions are key.

Our no-code/low-code platform allows companies to automatically identify customers at risk of leaving (churn), analyze the causes and implement retention actions - no coding required.

Retain customers before they leave - intelligent churn prevention.

With our technology, you can:

  • Predict churn risk in real time - analyze customer behavior, transactions and interactions.
  • Identify key churn factors - learn what influences customers to leave and what actions can prevent it.
  • Automate retention strategies - personalized offers, marketing campaigns and interactions at key moments.

How it works

  • Collect and analyze customer data - CRM, purchase history, interactions, online behavior, customer support.
  • Create predictive models and rules - using AI and no-code/low-code analytics.
  • Monitor churn rates in real-time - detect declining activity and dissatisfied customers.
  • Automate preventive actions - loyalty offers, discounts, personalized retention campaigns.
  • Measure strategy effectiveness - optimize approach based on results and changes in customer behavior.

Applications for B2C and B2B

  • SaaS and subscriptions - monitoring user activity, automatic intervention when engagement drops.
  • Banking and fintech - detection of customers considering switching banks, dynamic loyalty offers.
  •  E-commerce and retail - analysis of customers with declining purchase frequency, personalized offers to encourage return.
  • B2B services - monitoring customer relationships, dynamic offers to renew contracts and renegotiate terms.

Technology that helps retain customers

  • No-code/low-code - flexible configuration of churn rules and predictive models without programming.
  • AI and machine learning - intelligent analysis of customer behavior and trends.
  • API integrations - connection to CRM, marketing automation systems and transactional databases.
  • Retention automation - dynamic offers, notifications, timely interactions.

Don't wait for a customer to leave - respond before it happens.With intelligent churn analysis, you can effectively retain customers and increase their value to your business.

Ready to get started? Connect with us