Turn analytics data into
funnel and behavior signals.
Connect event logs, CSVs, or database tables. Composed AI maps events, detects funnel movement, and converts behavior changes into prioritized signals.
How Analytics Signals works
A rigorous method to extract signals from analytics data and observe funnels efficiently.
1. Connect analytics data
Upload raw analytics CSV files or connect direct database tables. Select your tables and columns on a schedule or via instant uploads.
2. Review detected events
Our profiling system inspects your data and automatically maps required fields like event names, user IDs, session keys, and timestamps.
3. Confirm useful funnels
Review automatically generated funnel recommendations. Edit, customize, and approve them before monitoring begins.
4. Observe funnel movement
Track entrants, step conversion rates, completion times, and drop-off percentages over custom time periods.
5. Convert behavior changes to signals
Define alert thresholds. When a user journey drops below baseline conversion or errors spike, it turns into a signal.
6. Route signals to workspaces
Signals route automatically into team cockpits with evidence, priority scores, and recommended actions.
Understand behavior changes and funnel movement
Source-backed signals
Every signal points directly to verified database rows or CSV logs, providing full evidence for quick verification.
Funnel movement detection
Observe shifts in conversion paths over daily syncs. Catch friction points before they impact sales or engagement.
AI readiness verification
Automatically assesses event timestamps, unique sessions, and user IDs to grade schema validity before sync.
