Supermetrics for Power BI
Connect Google Trends to Power BI — Market Trend Intelligence
Build Power BI dashboards for Google Trends with interest trend analysis, regional demand mapping, and seasonal pattern detection. DAX measures calculate year-over-year interest changes, geographic opportunity scores, and related topic discovery for content and campaign planning.
Why Connect Google Trends to Power BI?
Build live Google Trends dashboards in Power BI that update automatically and share with your team.
- Overlay Google Trends interest data with your campaign performance in Power BI. DAX measures calculate year-over-year interest changes and identify seasonal peaks for campaign timing optimization.
- Analyze search interest by region, city, and DMA in Power BI. Identify geographic markets with rising demand before competitors and allocate regional ad budgets accordingly.
- Compare search interest for your brand vs. competitors over time. DAX measures calculate share of search interest as a proxy for market share and brand awareness trends.
How to Connect Google Trends to Power BI
Three steps. Under two minutes. Zero code.
- 1
Open Power BI Desktop and Get Data
Launch Power BI Desktop, click "Get Data," and search for the Supermetrics connector to install it.
- 2
Authorize your data source
Sign in with your Supermetrics account and authorize your data source. Your credentials are encrypted and securely stored.
- 3
Build Your Dashboard
Select your metrics and dimensions, load the data into your model, and start building visuals, DAX measures, and interactive reports.
Dashboard Templates for Google Trends in Power BI
Pre-built dashboards to get you started. Customize layouts, filters, and visualizations to match your reporting needs.
Trend Intelligence & Seasonal Demand
Interest-over-time trending with year-over-year comparison. Related topic discovery and regional interest heatmap for campaign planning.
Brand vs. Competitor Interest Report
Share of search interest trending by brand with regional comparison. Related query analysis revealing emerging search themes.
Reporting Scenarios for Google Trends in Power BI
Common reporting use cases that teams build with Google Trends data in Power BI.
Line chart
Year-Over-Year Interest Comparison
Dual-line chart overlaying current year search interest against previous year for the same keyword, revealing seasonal patterns and growth trends.
Matrix table
Regional Interest Heatmap
Matrix table with conditional formatting showing search interest by region, revealing geographic markets with the highest demand for your topic.
What Google Trends Data Can You Pull into Power BI?
Supermetrics gives Power BI access to your full Google Trends reporting data — metrics and dimensions you already know from the Google Trends interface.
Key Metrics
- Interest (0-100 score)
- Interest over time
- Interest by region
- Interest by city
- Interest by DMA
- Related query interest
- Topic interest
- Trending search interest
Key Dimensions
- Search term
- Country
- Region
- DMA
- City
- Related query
- Topic title
- Topic type
- Date
- Hour
Resources & Guides
14 Power BI marketing dashboard examples
Power BI for marketing: setup guide
Data transformation in Power BI
Browse all Power BI templates
Feld Entertainment: enterprise dashboards
Why Supermetrics for Power BI?
The trusted marketing data platform since 2009. 200,000+ companies use Supermetrics — 15% of global ad spend flows through our connectors.
Built for Power BI
Purpose-built Power BI connector with setup in minutes. Your marketing team can build dashboards independently — no data engineering resources required.
170+ Data Sources
Connect Google Trends alongside 170+ other platforms through a single integration. All your marketing data in one place.
Data Blending
Combine Google Trends with other data sources in Power BI. Blend on shared keys like date, campaign name, or UTM parameters for cross-channel visibility.
Enterprise Security
SOC 2 Type II certified. GDPR compliant. OAuth authentication. Your data is encrypted at rest and in transit.
Always Current
Your Google Trends data refreshes automatically in Power BI. No manual exports, no stale numbers — open your report and the data is current.
Unsampled Data
Get your complete Google Trends dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
- Install the Supermetrics connector from the Power BI Desktop "Get Data" menu, sign in with your Supermetrics account, and authorize Google Trends. Your data appears as a Power Query table — from there you load it into your model, build relationships, and start creating visuals. No custom connector development needed.
- Yes. Publish your report to the Power BI Service and configure a scheduled refresh through your dataset settings. Supermetrics refreshes your Google Trends data on the schedule you set — hourly, daily, or whatever cadence fits your reporting rhythm. Your dashboards stay current without manual intervention.
- Absolutely. Power BI's data model is built for blending. Use Supermetrics to pull Google Trends alongside data from 170+ other marketing platforms — Google Ads, LinkedIn Ads, GA4, and more — then join them through shared dimensions like date, campaign name, or UTM parameters in Power Query or the data model.
- All standard Google Trends reporting fields are available, including Interest (0-100 score), Interest over time, Interest by region, Interest by city, Interest by DMA, and more. You get the same data as the Google Trends native reporting UI, loaded into Power BI where you can create DAX measures, build relationships, and apply row-level security.
- Basic Power BI Desktop knowledge is enough. Supermetrics handles the API connection, authentication, and data formatting. You pick your metrics, choose a date range, and load — the data arrives as clean tables ready for modeling. No API code, no ETL scripting.
- Pull interest-over-time data for your target keywords. Build year-over-year comparison line charts and DAX measures identifying the weeks when interest peaks. Time your campaign launches and budget increases to match demand curves.
- Yes. Pull interest data for your brand and competitor brand names. Create DAX measures for share of interest (your brand / total interest). Trend this over time to see whether your brand awareness is gaining or losing ground.
Also Connect to Power BI
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