Cirtru

Cirtru

Cirtru is a customer success platform that helps companies increase retention through advanced analytics of customer data. It provides real-time insights into customer health scores, churn risk, renewal predictions, and more to drive targeted engagement across the customer lifecy
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Cirtru: Customer Success Platform

Customer success platform providing advanced analytics of customer data to increase retention through real-time insights into health scores, churn risk, and renewal predictions

What is Cirtru?

Cirtru is a SaaS customer success platform used by companies to increase customer retention and reduce churn. It integrates with data sources like your CRM, billing system, online usage data, and more to provide a holistic view of your customers.

Key features of Cirtru include:

  • Customer health scores - Cirtru analyzes multiple data signals and applies machine learning to calculate a dynamic health score for each customer that predicts churn risk.
  • Smart segments - Automatically group customers based on attributes like health score, customer lifecycle stage, product usage, spend potential, and more.
  • Churn predictions - Identify at-risk customers and receive recommendations for targeted retention campaigns to win them back.
  • Growth opportunities - Locate expansion opportunities within your customer base based on product adoption, new releases, purchase trends, etc.
  • Renewal projections - Predict the likelihood customers will renew subscriptions based on engagement metrics.
  • Notifications and tasks - Alerts to address customer issues and prompts to take actions that strengthen relationships.
  • Custom CRM fields and reports - Cirtru enhances your CRM with extra context and intelligence.

By providing customer success and support teams with actionable insights and recommended tasks, Cirtru enables a proactive approach to customer success – increasing retention, reducing churn, boosting expansion revenue, and strengthening customer relationships over time.

Cirtru Features

Features

  1. Customer health scoring
  2. Churn risk analysis
  3. Renewal predictions
  4. Targeted engagement campaigns
  5. Real-time customer analytics
  6. Customer data integration

Pricing

  • Subscription-Based

Pros

Predicts customer churn risk

Identifies at-risk customers

Increases customer retention

Automates customer engagement

Provides actionable customer insights

Integrates with CRM and support tools

Cons

Can be complex to set up and use

Requires large amounts of customer data

Analytics limited to predefined models

May require consulting services for implementation


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