Supermetrics for Power BI
Connect Google Business Profile to Power BI — Local Business Intelligence Dashboards
Build Power BI dashboards for Google Business Profile with multi-location performance comparison, review sentiment tracking, and customer action analysis. DAX measures calculate location-level scoring, review response rates, and action conversion trends across your entire store network.
Why Connect Google Business Profile to Power BI?
Build live Google Business dashboards in Power BI that update automatically and share with your team.
- Compare performance across all your business locations in one Power BI report. DAX measures calculate location scoring based on impressions, actions, and reviews to identify underperformers.
- Track review count, average rating, and review trends. Conditional formatting flags locations with declining ratings or negative review spikes for rapid response.
- Monitor website clicks, phone calls, and direction requests per location. DAX measures calculate action conversion rates from profile views, identifying which locations convert browsers to customers.
How to Connect Google Business Profile 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 Business Profile in Power BI
Pre-built dashboards to get you started. Customize layouts, filters, and visualizations to match your reporting needs.
Multi-Location Performance Dashboard
Location ranking matrix by impressions, actions, and reviews. Customer action breakdown (calls, website, directions) with location-level drill-through.
Review & Reputation Monitor
Average rating trending by location with review volume tracking. Negative review alerts and response rate monitoring. Search keyword analysis.
Reporting Scenarios for Google Business Profile in Power BI
Common reporting use cases that teams build with Google Business data in Power BI.
Funnel chart
Location Action Conversion Funnel
Funnel chart showing the progression from profile impressions to views to customer actions (calls, website, directions) for each location.
Scatter chart
Rating vs. Action Rate Scatter
Scatter chart plotting average star rating against customer action rate per location, showing whether higher-rated locations drive more customer engagement.
What Google Business Profile Data Can You Pull into Power BI?
Supermetrics gives Power BI access to your full Google Business reporting data — metrics and dimensions you already know from the Google Business interface.
Key Metrics
- Search impressions
- Views (total)
- Views (Maps)
- Views (Search)
- Actions (total)
- Actions (website)
- Actions (phone)
- Actions (driving directions)
- Review count
- Average star rating
- Photo views (total)
- Post views
Key Dimensions
- Location name
- Location address locality
- Location category name
- Location status
- Location store code
- Review star rating
- Review comment
- Post topic type
- Search keywords
View all Google Business Profile fields, metrics, and dimensions →
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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 Business Profile alongside 170+ other platforms through a single integration. All your marketing data in one place.
Data Blending
Combine Google Business Profile 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 Business Profile 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 Business Profile 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 Business Profile. 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 Business Profile 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 Business Profile 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 Business Profile reporting fields are available, including Search impressions, Views (total), Views (Maps), Views (Search), Actions (total), and more. You get the same data as the Google Business Profile 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 location-level data via Supermetrics. Build a matrix table comparing impressions, actions, and reviews per location. DAX measures create a composite performance score for easy ranking and benchmarking.
- Yes. Pull review count and average rating over time. Line charts show rating trends per location, and conditional formatting alerts when ratings drop below thresholds that could impact local search rankings.
Also Connect to Power BI
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