Customer Churn Prediction

Minimize churn rate with an informed strategy based on advanced predictive analysis.

Churn kills growth

SaaS and e-commerce businesses facing high churn rates struggle with the “leaky bucket” effect, making it much harder to sustain growth.

  • SaaS and subscription ecommerce experience 5–15% monthly churn threatening long-term growth.
  • 5% monthly churn = 50% annual customer loss, creating a constant pressure to replace customers.
  • Early churn undermines CAC ROI, especially as acquisition costs keep rising
  • Churn is often detected too late to improve CLV or intervene effectively.
  • Fragmented data hinders churn prediction, making it hard to act on early warning signs.

WE PREDICT CHURN

Improve customer retention by pinpointing who might churn before it happens.

  • Accurate churn forecast

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    Predict churn probability for each customer with machine learning risk modeling based on advanced analysis of purchase history, engagement, and demographics.

  • Early warning alerts

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    Receive automated alerts when a high-value customer’s churn risk crosses a critical threshold so you can intervene in time.

  • Smooth data integration

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    Easily connect the churn prediction tool to CRM, subscription management, and database systems to continuously feed the model with up-to-date customer data.

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    Integrated retention workflow

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    Prediction is just a beginning. Get recommendations of next-best actions and campaign tools and act immediately on churn risks without additional software.

  • Actionable visualization

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    Use convenient dashboards that effectively visualize churn metrics and trends, segmenting at-risk customers by factors like product, region, or account manager for deeper insight.

  • Improved product strategy

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    Understand common churn drivers (e.g., poor onboarding or missing features) through analytics and fix issues faster to improve overall customer satisfaction.

BENEFITS

Unlock growth

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    Reduce attrition rates

    Identify unhappy customers early to take targeted actions that’ll reduce churn & retain more revenue

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    Increase CLV

    Get more repeat business from existing customers and boost Customer Lifetime Value by preventing churn

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    Lower acquisition costs

    Improve retention & spend less on acquiring new customers to replace those lost, optimizing your marketing and sales investments

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    Boost customer success

    Maximize the impact of retention campaigns by prioritizing outreach to at-risk clients based on data-driven insights

What sets us apart

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High prediction accuracy

We leverage proprietary AI models specialized in churn prediction, delivering more precise results than manual analysis or generic BI tools.

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Fast implementation

As a boxed product, the churn prediction tool can be deployed quickly with minimal IT effort. That means you can start predicting customer churn within days, not months.

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Continuous learning

The model used for churn prediction self-improves over time, learning from new customer outcomes to increase prediction accuracy and adapt to changing behavior patterns automatically.

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Recommended retention actions

While others stop at prediction, our solution goes further – offering built-in action recommendations, so you can respond to churn risks without relying on extra software.

Your questions

Our answers

01 How does the Customer Churn Prediction software work?
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It uses machine learning to analyze historical customer data (such as usage frequency, support tickets, purchase history, etc.) and identifies patterns that typically precede a customer leaving. Each customer is assigned a churn risk score. High-risk customers trigger alerts, so you can proactively reach out with recommended retention tactics.

02 What data is required to start predicting churn?
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The system can incorporate data like past purchases, subscription length, engagement metrics (logins, feature usage), customer support interactions, survey feedback, and more. The more comprehensive and high-quality the data, the more accurate the predictions. Our solution easily connects to your CRM, database, or data warehouse to pull this information. If you don’t have all these data sources, it can start with basic purchase or usage data and improve over time.

03 How do we act on the insights this tool provides?
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The product provides actionable insights alongside each prediction. For example, it might highlight that a customer is likely to churn due to declining usage and suggest a tailored re-engagement offer. Your customer success or marketing team can use our built-in campaign features or export the list of at-risk customers to any CRM/marketing tool. This ensures you can immediately launch retention campaigns (special offers, personal outreach, account manager calls) targeting those high-risk customers and track the outcomes.

Contact us

Get the right tool for the churn fight

Krzysztof Surowiecki
Senior Manager Commercial Analytics
Tomasz Tołłoczko
Senior Manager Consumer Analytics

See the software in action

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