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 Google Sheets and BigQuery. 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 Google Sheets or as BigQuery columns when you choose Looker Studio as the destination.
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 |
Trusted by Shopify Store Owners and Marketing Teams
See what founders, ecommerce managers, and agencies say about SyncRange.
Marketing Agency Owner
I was impressed how easily SyncRange could connect our clients Facebook and Google Ads data that I upgraded immediately and I'm implementing it across all our Google Sheets reporting dashboards 😍
Multi-ecommerce business owner
Prior to using SyncRange, I was hiring VA's to copy and past data from my Shopify Stores and multiple Facebook Ad accounts Every day. SyncRange has eliminated the need for VA's and saved me hours managing their work. It's also a lot cheaper than hiring VA's.
Shopify Store Founder
We were manually updating our Google Sheets every day with data from Shopify, Meta Ads, and Google Ads (sales, discounts, returns, ad spend). It was a time consuming mess. SyncRange completely solved that. Now everything updates automatically each morning, and our daily profitability tracker is always accurate and up to date. It’s saved us hours each week and removed all the guesswork. Total game changer
Ecommerce Store Owner
Prior to finding SyncRange, I was looking to hire developers to build custom integrations to Sheets for my store and marketing channels. I was quoted $1300+ to build a custom integration with ongoing maintenance fees. SyncRange is a fraction of the cost and I didn't have to wait for it to be built.
Connect your account, then follow the configuration guide for your first export.
Other data sources you can sync to Looker Studio
