Send Google Ads performance to BigQuery for joins with Analytics, Search Console, and offline conversions. SyncRange supports daily, weekly, monthly, or total grain per tab to match how you model campaigns.
Connect, choose columns, schedule refreshes
When spreadsheets are not enough, SyncRange loads Google Ads into Google BigQuery. Tables inherit the column layout from your export tabs, so SQL models and dbt projects can depend on predictable names.
BigQuery becomes the place to join marketing, ecommerce, and finance sources, run large historical queries, and power BI tools that expect a warehouse instead of a sheet.
Send your Google Ads data directly to Google BigQuery for enterprise-grade data warehousing. Build a central analytics repository, run SQL across massive datasets, and power large-scale reporting without managing pipelines or writing ETL 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 BigQuery.
Google Ads export tab using report type 'campaign'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Campaign ID |
| Campaign Name |
| Campaign Status |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| Date Exported |
Google Ads export tab using report type 'ad_group'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Ad Group Status |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| Date Exported |
Google Ads export tab using report type 'keyword_view'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Keyword ID |
| Keyword Text |
| Match Type |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| Date Exported |
Google Ads export tab using report type 'ad_group_ad'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Ad ID |
| Ad Type |
| Final URL |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| Date Exported |
Google Ads export tab using report type 'shopping_performance_view'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Product ID |
| Product Title |
| Product Type (Level 1) |
| Product Type (Level 2) |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Date Exported |
Google Ads export tab using report type 'geographic_view'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Country |
| Location Type |
| Region |
| State |
| City |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| Date Exported |
Google Ads export tab using report type 'search_term_view'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Search Term |
| Status |
| Campaign ID |
| Campaign Name |
| Ad Group ID |
| Ad Group Name |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| Date Exported |
Google Ads export tab using report type 'campaign_search_term_view'. Choose segments and metrics from the lists below; time grain and optional campaign filters are set per tab in SyncRange.
| Columns |
|---|
| Date |
| Week |
| Month |
| Device |
| Search Term |
| Campaign ID |
| Campaign Name |
| Search Term Status |
| Impressions |
| Clicks |
| Cost |
| Conversions |
| Conversion Value |
| CTR |
| Average CPC |
| Cost per Conversion |
| All Conversions |
| All Conversion Value |
| 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 BigQuery
