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Scoop Analytics

Scoop Analytics is an AI-powered business intelligence platform that turns non-technical users into data scientists through natural language conversations. Ask questions like "What predicts customer churn?" and get instant predictive models, hidden customer segments, and actionable insights from your connected CRM, marketing, and support data—no SQL or coding required.

Introduction

What is Scoop Analytics

Scoop Analytics is an AI-powered business intelligence platform designed to transform non-technical users into data scientists. It utilizes real machine learning and Agentic Analytics™ technology to analyze data through natural language conversations, providing instant predictive models, hidden customer segments, and actionable insights.

How to use Scoop Analytics

Using Scoop Analytics involves three main steps:

  1. Connect Your Revenue Data: Link your CRM, marketing, and financial data using over 100 instant connectors. The AI automatically understands your business context.
  2. AI Runs Data Science: Ask business questions in plain English. The AI orchestrates ML algorithms to find patterns, predict outcomes, and identify opportunities.
  3. Deploy Revenue Impact: Push predictions directly to your CRM, export presentations, or automate actions to turn insights into revenue immediately.
Features of Scoop Analytics
  • AI-powered data analysis using real machine learning
  • Natural language conversation interface (AI Chat)
  • Provides instant predictive models
  • Discovers hidden customer segments and clusters
  • Identifies key drivers and predictors of outcomes
  • Compares data across different time periods
  • Explains and analyzes specific data groups
  • Generates live reports and presentation-ready visuals (AI Story Canvas)
  • Requires no SQL or coding expertise
  • Works alongside existing BI tools and CRM analytics
  • Offers over 100 instant data connectors
  • Allows deploying predictions directly to CRM
  • SOC2 Certified for security
  • Ensures your data is not used to train AI
  • On-Premise deployment option available
Use Cases of Scoop Analytics

Scoop Analytics can transform various revenue teams:

  • Marketing: Discover hidden high-value segments, predict conversion likelihood, and optimize spend allocation.
  • Sales: Predict deal outcomes with high accuracy and identify optimal next actions for prospects.
  • Customer Success: Detect churn risk early and identify expansion opportunities based on usage patterns.
  • Leadership: Gain AI-powered insights for strategic decisions, predict revenue trends, and identify strategic opportunities.

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