Connect Bing Ads (Microsoft Advertising) to Google Sheets with configurable report tabs, dimensions, metrics, and time grain. SyncRange is built for marketers who want Bing Ads reporting beside Google Ads without manual downloads.
Overview: all destinations for Microsoft Advertising (Bing Ads)
Connect, choose columns, schedule refreshes
SyncRange connects Microsoft Advertising (Bing Ads) to Google Sheets after you connect your accounts securely, with scheduled refreshes and append-or-replace behavior per tab. You pick the entities and columns; we write clean header rows and keep ranges updated.
If you sell online or run paid campaigns, you are probably already living in spreadsheets. Sheets gives you a straightforward place to line up store and channel numbers, share a workbook with your team or agency, and pivot or copy into Excel when you want to dig in further, without another manual export.
Sync your Microsoft Advertising (Bing Ads) data into Google Sheets for instant spreadsheets that update on a schedule. Build reports, share with your team, and use formulas and charts without any code.
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 Google Sheets.
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 Google Sheets
