Motif Analytics
Open siteResearch & Data Analysis
Introduction
Toolkit for analyzing raw event sequences with interactive visualizations.
Motif Analytics Product Information
Motif Analytics: Causal Factors
Motif Analytics’ Causal Factors is a data tool designed to accelerate growth and operations by providing a paradigm-shifting toolkit for sequence analytics. It focuses on analyzing event sequences with rich visualizations, purpose-built sequence operations, and AI models to derive actionable insights from user and business flows. It aims to help teams escape slow SQL investigations and superficial no-code tools, delivering expressive yet concise querying capabilities for event sequences.
What it does
- Transforms raw events into optimization decisions in a single session, with rich, interactive visualizations that reveal patterns in user and business flows.
- Provides a small, expressive set of sequence operations that enable full expressivity and fine-grained control with under 10 lines of code.
- Includes AI-assisted models tailored for event sequence analysis to surface causal factors and conversion paths.
- Offers an incremental query engine that lets you trade between precision, speed, and cost according to your needs.
- Supports both local (individually-run) analysis and scalable cloud deployments for teams and organizations.
How it works
- Load event data (e.g., View Homepage, Add to Cart, Review Order) and define funnels or sequences you want to analyze.
- Use the built-in sequence operations to detect paths, conversions, and drop-offs across steps.
- Leverage rich visualizations to identify bottlenecks and opportunities within user and business flows.
- Run queries locally or in the cloud with scalable performance, depending on event volume and required speed.
Example workflow (conceptual):
- Define steps such as View Homepage → Add to Cart → Review Order.
- Compute whether users progressed in the intended sequence within a defined time window.
- Aggregate results to identify how many users reach each step and where leakage occurs.
Use Cases
- Growth analytics: understand which sequence paths drive conversions and where users drop off.
- Ops optimization: pinpoint bottlenecks in user journeys to inform product and marketing strategies.
- Experiment analysis: compare sequence performance across cohorts and time windows.
- Data exploration: interactively explore event sequences to form hypotheses before deeper SQL work.
How to use Motif Analytics Causal Factors
- Ingest your event data (e.g., through connectors or CSV/Parquet uploads).
- Define event sequences or funnels you want to analyze.
- Apply the sequence operations to determine causal factors and progression patterns.
- Visualize results with interactive charts to discover actionable insights.
- Iterate on query design to balance precision, speed, and cost.
Core Features
- Rich visualizations for event sequences and funnels
- Expressive sequence operations with fine-grained control (under 10 lines of code)
- AI models tailored for event sequence analysis
- Incremental query engine to balance precision, speed, and cost
- Local (individually-run) mode or cloud-scale deployment for teams
- Quick-start data loading via CSV, JSON, Parquet and connectors to major data warehouses
- Interactive exploration of patterns in user and business flows
- Scalable handling from small-scale to 100M+ events with high throughput