Change Detection & Activity Signals
How StoreCensus detects store changes - app installs/uninstalls, revenue shifts, theme changes, and more - and how to use them as filters and automation triggers.
StoreCensus continuously monitors stores for changes and logs them as Activity Signals. These signals are the foundation of the Evergreen Flows automation system and can also be used as filters to find stores with recent activity.
Detected Change Types
| Signal | Description |
|---|---|
| App Installed | A new app was detected on the store |
| App Uninstalled | A previously detected app is no longer present |
| Technology Installed | A new web technology was detected |
| Technology Uninstalled | A previously detected technology is gone |
| Revenue Increased | Estimated monthly revenue went up |
| Revenue Decreased | Estimated monthly revenue went down |
| Theme Changed | The store switched to a different theme |
| Description Changed | The store's meta description changed |
| Currency Changed | The store's primary currency changed |
| Categories Changed | The store's product categories changed |
| Product Count Changed | Number of product pages increased or decreased |
| Variant Count Changed | Number of product variants changed |
| Price Changed | Average product price changed |
Activity Timeline in Store Detail
The store detail panel shows a chronological activity timeline for that specific store. Each event shows:
- Event type and icon
- Date/time of detection
- Details (e.g., "Installed: Klaviyo", "Revenue: $10k → $25k")
Using Activity Signals as Filters
In the Filter Panel → Activity Signals section, you can filter the entire store database by recent change events.
Examples:
- "Show me all stores that installed Klaviyo in the last 7 days"
- "Show me all stores where revenue increased in the last 30 days"
- "Show me all stores that changed their theme in the last 14 days"
Freshness options per event: Last 24 hours, Last 7 days, Last 30 days, Last 90 days, Custom date range.
Metric filters (for revenue/spend events):
- Minimum/maximum change amount
- Minimum/maximum percentage change
- Direction: Increase only / Decrease only / Both
Note: Activity Signal filters require clicking the Apply Filters button - they do not update live.
Using Activity Signals as Automation Triggers
Activity signals are the trigger mechanism for Evergreen Flows. Every signal type can be used as a trigger:
- App Event (installed/uninstalled) - most common trigger for app developers
- Technology Event (installed/uninstalled) - useful for detecting ad spend intent (Meta Pixel install)
- Revenue Change - catch growing or struggling stores
- Spend Change - find stores increasing their tech investment
- Store Metadata Change - theme changes, currency changes, description updates
- Inventory Change - product count growth signals scaling stores
See Automations - Evergreen Flows for full details on setting up triggers.
Signal Use Cases by Persona
| Signal | App Developer Use Case | Agency Use Case |
|---|---|---|
| App Uninstalled | Pitch your app immediately | Identify stores evaluating alternatives |
| App Installed (competitor) | Monitor competitive adoption | Find stores investing in a category |
| Revenue Increased | Upsell growing stores | Target stores with growing budgets |
| Theme Changed | - | Pitch redesign follow-up services |
| Meta Pixel Installed | - | Identify stores starting paid ads |
| Product Count Increased | Pitch catalog management tools | Find scaling stores needing services |
Previous
← Decision MakersNext
CRM Features →Ready to put this into practice?
Open Dashboard →