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Calliper
AI-Powered Data Insights for SaaS Growth

Calliper
Freemium
From 317$

Home: https://www.calliper.app

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What is Calliper?

Calliper functions as an AI-powered virtual data scientist specifically built for Software as a Service (SaaS) leaders. It automates the complex process of data analysis by integrating information from various sources such as product usage, finance systems, and customer support interactions. The platform aims to provide actionable customer insights without requiring users to have technical data science skills or write any code.

The tool consolidates key metrics into accessible dashboards, offering a unified view of business performance across different departments. Users can interact with their data by asking questions in natural language, similar to working with a human data analyst. Calliper also features configurable alerts delivered via Slack, notifying teams about significant customer events like potential churn, upgrades, onboarding completion, or high engagement, enabling faster reaction times and tighter feedback loops.

Features

  • AI-Powered Virtual Data Scientist: Automatically analyzes data and delivers actionable customer insights.
  • Natural Language Queries: Ask questions about your data in plain English.
  • Consolidated Dashboards: Provides a unified view of core metrics across departments.
  • Automated Customer Alerts: Delivers real-time notifications for important customer events via Slack.
  • No-Code Integration: Connects seamlessly with various SaaS tools without requiring coding.
  • 360° Customer View: Benchmarks individual customers and provides detailed views across finance, product, and support interactions.

Use Cases

  • Acquiring and retaining customers for SaaS platforms.
  • Providing SaaS leadership with a holistic overview of business KPIs.
  • Optimizing customer acquisition strategies based on website and ads data.
  • Accelerating sales velocity through pipeline analysis and deal monitoring.
  • Improving customer onboarding, engagement, and retention.
  • Monitoring customer revenue, subscription metrics, and financial health.
  • Understanding customer behavior for product development.
  • Identifying power users and potential churn risks proactively.

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