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The Exploding Trends tab is the least modeled keyword-discovery view.
It surfaces raw, fast-moving terms from the selected dataset and ranks them using breakout logic such as outlier score and growth across multiple time windows.
This tab is designed for sourcing ideas before they become obvious.

Users can scan keywords by:
1W
3M
6M
1Y
2Y
Started
Users can also switch between:
Table
Cards
Heat map
And optionally show:
Category
Ticker
The data type picker spans many source groups, including:
Search and discovery
Social media
Social accounts
Web and traffic
Mobile apps

This allows users to run the same workflow across Google Search, TikTok views, Reddit mentions, Web Traffic, mobile app usage, and many other data types.
Exploding Trends supports detailed controls such as:
Direction — up or down
Trend Type
Category / Sector
Match Strictness
Chart Period
Moving Average
Chart Options
Sort by outlier score
In Cards view, each result also shows:
A mini chart
Related categories
Related tickers
Start date
A direct Analyze action

This makes the tab useful for both scanning and immediate follow-up research.
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