Predictive Lead Scoring Software for B2B SAAS

Churn Prediction Models for Stripe

UserMotion’s predictive scoring algorithm helps B2B SaaS companies prioritize leads based on key product usage and behavioral analysis to enable your team to focus on those accounts most likely to churn.

Partners with

Detect Early Signs of User Churn With UserMotion

Remove the guesswork for your team and help them get in touch with the right people at each account, before it’s too late!

Intention Signals

Don’t miss Churn Signals

Detect intention signals to seamlessly prioritize your leads and accounts. Focus on those with the highest risk of churn, ensuring your efforts are always well-placed.

Detect Churn Signals
Self-Learning Algorithms

AI-Powered Algorithms

Benefit from AI self-learning models that continuously improve and adapt, ensuring your strategies evolve with changing market dynamics and customer behaviors

Predictive Lead Scoring

Multi-Dimensional Churn Prediction

Dive deeper with a multi-dimensional approach that goes beyond just Ideal Customer Profile (ICP) matching. Take into account firmographics technographic and behavioral data properties from multiple channels for best churn prediction models.

Integrations

Verified Partner

UserMotion seamlessly integrates with your SaaS tool stack, gathering all necessary events and data to detect intention signals, and bring its powerful insights directly into your workflow.

What Makes UserMotion Unique?

Quick to set up, simple to use, and with numerous integrations. But there’s more. Explore some of our features and capabilities.

Predictive Lead Scoring

Predictive Lead Scoring algorithm identifies high-potential leads and ranks them based on buying signals, product usage data, Ideal Customer Profile Score, and more.

ICP Matching

UserMotion enhances your targeting strategy by precisely matching leads with your Ideal Customer Profile (ICP), ensuring you focus your efforts on the prospects most likely to convert and grow with your solution.

PQL Scoring​

UserMotion's PQL (Product Qualified Lead) Scoring algorithm identifies high-potential leads directly within your product usage data, enabling targeted engagement that maximizes conversion opportunities.

Customer Health Score

Customer 360 provides actionable insights and a Customer Health Score from customer interactions, encouraging proactive engagement, lowering churn, and building long-term relationships.

Expert Made Playbooks

Our Expert-made Playbooks are created using industry best practices to provide actionable step-by-step guidance to your GTM teams to engage customers and maximize conversion rates.

Enterprise-Grade Security

UserMotion delivers all enterprise-grade security. We protect your data with SOC 2 Type II compliance, regular security audits, and strict GDPR readiness. Single Sign-On simplifies access while customizing permissions.

Frequently Asked Questions

Stripe Integration with UserMotion seamlessly connects your payment processing data with our sales intelligence platform, enabling advanced churn prediction and providing actionable insights to prevent customer turnover.

By analyzing transactional data from Stripe, UserMotion’s AI-powered algorithms identify patterns and signals that indicate a higher risk of churn, allowing businesses to proactively engage with these accounts to improve retention.

Absolutely! UserMotion automates the detection of at-risk accounts using Stripe data, eliminating the need for manual analysis and allowing your team to focus on engagement and retention strategies.

With insights from UserMotion, you can create personalized engagement plans, offer targeted incentives, and communicate directly with at-risk customers to address their needs and concerns, significantly reducing the likelihood of churn.

UserMotion’s integration with Stripe allows for real-time monitoring of customer transactions and behaviors, enabling immediate detection of changes that could signify a churn risk, ensuring swift action can be taken to retain your customers.

Latest Resources for Churn Prediction

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