Load Meta Ads performance and structure into BigQuery for cross-channel measurement and historical backups. SyncRange maps each export tab to tables so you can query Facebook Ads data alongside Google and TikTok in SQL.
Overview: all destinations for Meta (Facebook & Instagram Ads)
Connect, choose columns, schedule refreshes
When spreadsheets are not enough, SyncRange loads Meta (Facebook & Instagram 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 Meta (Facebook & Instagram 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.
Campaign metadata: names, objectives, status, budgets, and timestamps.
| Columns |
|---|
| Account ID |
| Campaign ID |
| Campaign Name |
| Objective |
| Status |
| Created Time |
| Updated Time |
| Start Time |
| Stop Time |
| Budget Remaining |
| Daily Budget |
| Lifetime Budget |
| Date Exported |
Ad set metadata: names, status, budgets, targeting (age, gender, location, interests), and schedule.
| Columns |
|---|
| Ad Set ID |
| Account ID |
| Ad Set Name |
| Campaign ID |
| Campaign Name |
| Status |
| Bid Amount |
| Budget Remaining |
| Daily Budget |
| Lifetime Budget |
| Start Time |
| End Time |
| Min Age |
| Max Age |
| Genders |
| Locations |
| Interests |
| Date Exported |
Ad-level metadata: names, status, and timestamps (no performance metrics).
| Columns |
|---|
| Account ID |
| Ad ID |
| Ad Name |
| Ad Set ID |
| Ad Set Name |
| Campaign ID |
| Campaign Name |
| Status |
| Created Time |
| Updated Time |
| Date Exported |
Performance metrics broken down by campaign, ad set, and ad, with a row per entity per day.
| Columns |
|---|
| Account ID |
| Date Start |
| Date Stop |
| Campaign ID |
| Campaign Name |
| Ad Set ID |
| Ad Set Name |
| Ad ID |
| Ad Name |
| Platform |
| Impressions |
| Clicks |
| Spend |
| CPC |
| CPM |
| CTR |
| Reach |
| Frequency |
| Unique Clicks |
| Link Clicks |
| Post Engagement |
| Page Engagement |
| Likes |
| Comments |
| Shares |
| Posts |
| Content Views |
| Add to Cart |
| Checkout Initiated |
| Purchases |
| Omni Add to Cart |
| Omni Purchases |
| Purchase Conversion Value |
| Leads |
| Registrations |
| Purchases (1d Click) |
| Purchases (7d Click) |
| Purchases (1d View) |
| Purchases (7d View) |
| Leads (1d Click) |
| Leads (7d Click) |
| Video 25% Watched |
| Video 50% Watched |
| Video 75% Watched |
| Video 100% Watched |
| Outbound Clicks |
| Inline Link Clicks |
| Website CTR |
| Cost per Action |
| Date Exported |
Performance metrics broken down by campaign. Defaults to daily; can be set to weekly or monthly.
| Columns |
|---|
| Account ID |
| Date Start |
| Date Stop |
| Campaign ID |
| Campaign Name |
| Platform |
| Impressions |
| Clicks |
| Spend |
| CPC |
| CPM |
| CTR |
| Reach |
| Frequency |
| Unique Clicks |
| Link Clicks |
| Post Engagement |
| Page Engagement |
| Likes |
| Comments |
| Shares |
| Posts |
| Content Views |
| Add to Cart |
| Checkout Initiated |
| Purchases |
| Omni Add to Cart |
| Omni Purchases |
| Purchase Conversion Value |
| Leads |
| Registrations |
| Purchases (1d Click) |
| Purchases (7d Click) |
| Purchases (1d View) |
| Purchases (7d View) |
| Leads (1d Click) |
| Leads (7d Click) |
| Video 25% Watched |
| Video 50% Watched |
| Video 75% Watched |
| Video 100% Watched |
| Outbound Clicks |
| Inline Link Clicks |
| Website CTR |
| Cost per Action |
| Date Exported |
Performance metrics broken down by ad set. Defaults to daily; can be set to weekly or monthly.
| Columns |
|---|
| Account ID |
| Date Start |
| Date Stop |
| Campaign ID |
| Campaign Name |
| Ad Set ID |
| Ad Set Name |
| Platform |
| Impressions |
| Clicks |
| Spend |
| CPC |
| CPM |
| CTR |
| Reach |
| Frequency |
| Unique Clicks |
| Link Clicks |
| Post Engagement |
| Page Engagement |
| Likes |
| Comments |
| Shares |
| Posts |
| Content Views |
| Add to Cart |
| Checkout Initiated |
| Purchases |
| Omni Add to Cart |
| Omni Purchases |
| Purchase Conversion Value |
| Leads |
| Registrations |
| Purchases (1d Click) |
| Purchases (7d Click) |
| Purchases (1d View) |
| Purchases (7d View) |
| Leads (1d Click) |
| Leads (7d Click) |
| Video 25% Watched |
| Video 50% Watched |
| Video 75% Watched |
| Video 100% Watched |
| Outbound Clicks |
| Inline Link Clicks |
| Website CTR |
| Cost per Action |
| Date Exported |
Performance metrics broken down by ad. Defaults to daily; can be set to weekly or monthly.
| Columns |
|---|
| Account ID |
| Date Start |
| Date Stop |
| Campaign ID |
| Campaign Name |
| Ad Set ID |
| Ad Set Name |
| Ad ID |
| Ad Name |
| Platform |
| Impressions |
| Clicks |
| Spend |
| CPC |
| CPM |
| CTR |
| Reach |
| Frequency |
| Unique Clicks |
| Link Clicks |
| Post Engagement |
| Page Engagement |
| Likes |
| Comments |
| Shares |
| Posts |
| Content Views |
| Add to Cart |
| Checkout Initiated |
| Purchases |
| Omni Add to Cart |
| Omni Purchases |
| Purchase Conversion Value |
| Leads |
| Registrations |
| Purchases (1d Click) |
| Purchases (7d Click) |
| Purchases (1d View) |
| Purchases (7d View) |
| Leads (1d Click) |
| Leads (7d Click) |
| Video 25% Watched |
| Video 50% Watched |
| Video 75% Watched |
| Video 100% Watched |
| Outbound Clicks |
| Inline Link Clicks |
| Website CTR |
| Cost per Action |
| Date Exported |
Account-level totals. Defaults to daily (one row per day); can be set to weekly or monthly.
| Columns |
|---|
| Account ID |
| Date Start |
| Date Stop |
| Platform |
| Impressions |
| Clicks |
| Spend |
| CPC |
| CPM |
| CTR |
| Reach |
| Frequency |
| Unique Clicks |
| Link Clicks |
| Post Engagement |
| Page Engagement |
| Likes |
| Comments |
| Shares |
| Posts |
| Content Views |
| Add to Cart |
| Checkout Initiated |
| Purchases |
| Omni Add to Cart |
| Omni Purchases |
| Purchase Conversion Value |
| Leads |
| Registrations |
| Purchases (1d Click) |
| Purchases (7d Click) |
| Purchases (1d View) |
| Purchases (7d View) |
| Leads (1d Click) |
| Leads (7d Click) |
| Video 25% Watched |
| Video 50% Watched |
| Video 75% Watched |
| Video 100% Watched |
| Outbound Clicks |
| Inline Link Clicks |
| Website CTR |
| Cost per Action |
| Date Exported |
Custom audience definitions: names, descriptions, and targeting rules.
| Columns |
|---|
| Account ID |
| Audience ID |
| Audience Name |
| Description |
| Created Time |
| Updated Time |
| Subtype |
| 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
