Trend intelligence
OpenTrends

About Open Trends

A local browser app that turns Google Keyword Planner exports into theme-level trend analysis for any category. You supply the category searches and the keyword buckets; Open Trends reports what is moving.

What it does

Open Trends takes a Google Keyword Planner export (keywords plus monthly search volumes) and a dictionary of keyword buckets you define (themes), tags each search term against those buckets, and produces:

Everything runs in your browser. Your data is never uploaded anywhere.

Free and open source. No ads, no tracking, no accounts. A self-hostable version is available on GitHub.

Inputs

  • Category searches - a Google Keyword Planner export (.xlsx, .xls or .csv) with a keyword column, an AMS / average monthly searches column, and monthly date columns.
  • Keyword buckets (themes) - a dictionary mapping each theme name to a Boolean query or a plain list of terms. Upload under Category definitions or paste into the panel and press Apply dictionary.
  • Brands & products (optional) - a brand/product dictionary for a second attribution dimension.

Outputs

  • Overview - KPIs, velocity map, fastest-growing themes, coverage breakdown
  • Theme growth - per-theme size, share, growth, monthly chart
  • Theme deep dive - term contributions, risers/drags, brand & product mix
  • Terms - term-level performance and keywords behind each term
  • Brands & products - brand/product tables, spotlight, filters
  • Top searches, Seasonality, Export

How to use it

  1. Open the app. A pre-computed fragrance example is already loaded as a demo.
  2. Drop in a Keyword Planner export (.xlsx / .xls / .csv). Check the detected sheet, short/long windows and dedupe setting.
  3. Click Run analysis.
  4. Explore the tabs: Overview, Theme growth, Theme deep dive, Terms, Brands & products, Top searches, Seasonality.
  5. Use Export → Download full Excel workbook (or individual CSVs/JSON) for BI tools.
  6. To analyse your own category, upload or paste your own theme dictionary under Category definitions, then re-run.

About the author

Open Trends is built and maintained by Sarth Jauhari.