Bing Ads Looker Studio integration works best when data lives in Google Sheets or BigQuery. SyncRange writes scheduled Microsoft Advertising exports there for native Looker Studio connectors.
Overview: all destinations for Microsoft Advertising (Bing Ads)
Connect, choose columns, schedule refreshes
Looker Studio dashboards read from connectors such as Google Sheets and BigQuery. SyncRange focuses on keeping Microsoft Advertising (Bing Ads) accurate inside those destinations. Think of us as the sync layer, not a charting substitute.
After data lands on a schedule, you build Looker Studio charts and blended data sources the same way you would for any other business data. Looker Studio stays fast because the heavy lifting happens in Sheets or BigQuery.
Looker Studio connects natively to BigQuery and Google Sheets. SyncRange does not paint charts inside Looker Studio. We keep Microsoft Advertising (Bing Ads) synchronized into those destinations so your blended reports and filters stay fast and auditable.
What we can export, and how it lands
Each row is a field you can include or omit in the app before export. Column headers match the labels below; SyncRange writes them as the first row in your destination (worksheets in Google Sheets or Excel, or BigQuery columns) when you choose Looker Studio.
Microsoft Advertising (Bing) export tab using report type 'campaign'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Account ID |
| Account Name |
| Campaign ID |
| Campaign Name |
| Campaign Status |
| Campaign Type |
Microsoft Advertising (Bing) export tab using report type 'ad_group'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Account ID |
| Account Name |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Ad Group Status |
Microsoft Advertising (Bing) export tab using report type 'keyword'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Keyword ID |
| Keyword |
| Keyword Status |
| Bid Match Type |
| Delivered Match Type |
Microsoft Advertising (Bing) export tab using report type 'ad'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Ad ID |
| Ad Title |
| Ad Type |
| Ad Status |
| Final URL |
| Display URL |
Microsoft Advertising (Bing) export tab using report type 'search_query'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Search Query |
| Keyword |
| Keyword ID |
| Keyword Status |
Microsoft Advertising (Bing) export tab using report type 'geographic'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Country |
| State |
| Metro Area |
| City |
| County |
| Postal Code |
| Neighborhood |
Microsoft Advertising (Bing) export tab using report type 'product_dimension'. Dimensions depend on the report; metrics are selected per tab from the shared metric library.
| Columns |
|---|
| Date |
| Device |
| Device OS |
| Network |
| Product ID |
| Product Title |
| Condition |
| Brand |
| Product Type (Level 1) |
| Product Type (Level 2) |
| Product Type (Level 3) |
| Product Category (Level 1) |
| Product Category (Level 2) |
| Custom Label 0 |
| Custom Label 1 |
| Custom Label 2 |
Metrics available to add to export tabs (subject to compatibility with the dimensions you choose).
| Columns |
|---|
| Impressions |
| Clicks |
| Spend |
| Conversions |
| Revenue |
| CTR |
| Average CPC |
| Average CPM |
| Average Position |
| Conversion Rate |
| Cost per Conversion |
| Return on Ad Spend |
| Revenue per Conversion |
| All Conversions |
| All Revenue |
| All Conversion Rate |
| All Cost per Conversion |
| All Return on Ad Spend |
| All Revenue per Conversion |
| View-Through Conversions |
| View-Through Revenue |
| Date Exported |
Social proof
See how teams export clean ecommerce and marketing data to Google Sheets, Microsoft Excel, or BigQuery without manual work.
Large Online Retailer
We manage high-volume ecommerce data across multiple channels and needed clean exports into BigQuery without custom engineering overhead. SyncRange gave us reliable scheduled pipelines and immediate visibility by brand.
Multi-brand Shopify Plus Operator
We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.
Shopify Store Founder
We were manually updating Google Sheets every morning with Shopify and ad data. It was slow and error-prone. Now everything updates automatically, and our daily profitability tracker is always accurate.
Shopify Store Founder
I almost hired developers to build custom Shopify-to-Sheets exports. Quotes were expensive and came with ongoing maintenance. SyncRange was a fraction of the cost and worked immediately without a long build project.
Connect your account, then follow the configuration guide for your first export.
Other data sources you can sync to Looker Studio
