Google Trends
by Google
Google Trends shows relative search interest by topic, region and time, and the alpha Trends API returns consistently scaled series that can be compared across requests. Demand planners use it as an outside signal. Loaded into a Lake next to sales, inventory and ad spend, interest curves can test whether search demand moves ahead of orders by region.
- Category
- Analytics & Attribution
- Type
- Search trends
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Search interest over time
- Interest by region
- Related topics
- Related queries
Join Google Trends search interest over time with orders, subscriptions and CRM data, so a question about growth gets one answer instead of three dashboards.
Need more? Name any other Google Trends data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Google Trends uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Google if you need help.
04Questions
Questions you can answer.
Once Google Trends data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Does search interest for our product category rise before regional sales, and by how many weeks?
- Which regions show growing interest where we spend little on advertising?
- Which related queries are rising for our category that our catalog does not cover?
- How did interest in competitor topics move after our campaign launch?
05How it works
How it works in DataMind.
-
Pick Google Trends.
Open Lake, pick Google Trends in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Google Trends API docs.
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Answer a few questions.
The AI reads the Google Trends documentation, then asks which credentials you will use, which data to sync (for example search interest over time and interest by region), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Google Trends data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Google Trends.
Sources teams join with Google Trends in the Warehouse, each one connected the same way.
