Indicative
Product Analytics for the Modern Data Stack.
Overview
Indicative is a product analytics platform designed for businesses that use a modern data stack (e.g., Snowflake, BigQuery, Redshift). It allows teams to analyze user behavior by running queries directly on their data warehouse, providing a flexible and comprehensive view of the customer journey. Its analysis is a key input for engagement scoring.
✨ Key Features
- Direct Data Warehouse Connection
- Customer Journey Analysis
- Multipath Funnels
- Cohort Analysis
- User Segmentation
- No-code Interface
🎯 Key Differentiators
- Connects directly to the data warehouse (no SDKs or event streaming required)
- Focus on analyzing the entire customer journey
- No-code interface for complex analysis
Unique Value: Unlocks the full power of your data warehouse for product analytics, allowing anyone on the team to easily analyze the complete customer journey.
🎯 Use Cases (4)
✅ Best For
- Providing a single source of truth for product data by connecting to the data warehouse
- Enabling non-technical users to perform complex data analysis
- Analyzing the full customer journey across multiple data sources
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Companies without a data warehouse
- Teams needing a simple, event-streaming analytics tool
- Businesses looking for a customer success workflow platform
🏆 Alternatives
Avoids data silos and discrepancies by querying the data warehouse directly, unlike event-based tools that require their own data stores.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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