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The first data modeling platform built for the Activity Schema to enable infinite customer journey analysis.

Narrator is a revolutionary data modeling and analysis platform that fundamentally shifts how enterprises interact with their data warehouses. By utilizing a single, standardized data structure known as the Activity Schema—which consists of one massive table containing timestamps, customer identifiers, activities, and metadata—Narrator eliminates the need for complex, brittle star schemas and OBT (One Big Table) architectures. This technical approach allows data teams to model data once and reuse it across any number of business questions, enabling temporal joins that are historically difficult in standard SQL. In the 2026 market, Narrator stands as a key 'Warehouse Native' solution, allowing companies to keep their data in Snowflake, BigQuery, or Redshift while providing a UI-driven 'Assembler' to build datasets in minutes. Its unique 'Narratives' feature goes beyond dashboards, providing automated, written analysis that explains the 'why' behind data trends, effectively serving as an AI-driven decision support system for marketing, product, and operations teams.
Narrator is a revolutionary data modeling and analysis platform that fundamentally shifts how enterprises interact with their data warehouses.
Explore all tools that specialize in analyze customer journeys. This domain focus ensures Narrator delivers optimized results for this specific requirement.
Explore all tools that specialize in attribution modeling. This domain focus ensures Narrator delivers optimized results for this specific requirement.
Standardizes all data into a 11-column table (activity_id, customer, activity, timestamp, etc.), enabling universal analysis code.
A UI-based query builder that generates high-performance SQL for complex temporal joins (First-ever, Last-before, etc.).
Joins activities based on the timestamp of occurrence relative to a primary event, rather than simple keys.
Automated data analysis presented in a blog-like format with embedded charts and text explanations.
All data processing and materialization occur directly within the client's Snowflake or BigQuery instance.
A built-in logic layer that links various identifiers (anonymous IDs, emails, user IDs) into a single customer timeline.
Because the data structure is standardized, Narrator offers a library of pre-built analyses that work instantly on any data.
Connect your cloud data warehouse (Snowflake, BigQuery, Redshift, or Databricks).
Define your core 'Activities' using the SQL Editor to map raw source tables to the Activity Schema.
Map customer identifiers across different sources to create a unified 'Customer ID' map.
Use the 'Assembler' to select a 'cohort' activity (e.g., 'Started Subscription').
Add 'features' or append subsequent activities (e.g., 'Visited Support Page') to the dataset.
Define temporal logic (e.g., 'First time before', 'Last time after') within the UI.
Preview the generated SQL to verify the logic against your warehouse.
Save the Dataset and schedule recurring materialized views in your warehouse.
Build a 'Narrative' to add context, goals, and automated commentary to the data.
Export or sync the resulting clean data to downstream tools like Mixpanel or Salesforce.
All Set
Ready to go
Verified feedback from other users.
"Users highly praise the Activity Schema for its ability to answer business questions that were previously impossible. Some noted a steep learning curve for those used to traditional star schemas."
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