Adform connector
Set up the Adform connector in Kaivo: authentication, configuration, the 34 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Adform data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.
What is the Adform connector
Sync your Adform advertising data into BigQuery with Kaivo to track campaign spend, delivery, and performance alongside your other marketing channels.
Getting started with the Adform connector
- Sign up for Kaivo and create a workspace.
- Connect your Adform account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Adform
Connect by signing in to your Adform account. Kaivo runs the connection for you, so you never share a password.
Configuring the Adform connector
When you set up the connector, you provide:
Tables and columns synced from Adform
Kaivo syncs 34 tables from Adform into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
advertisers (6 columns)
advertisers (6 columns)
bandwidths (4 columns)
bandwidths (4 columns)
banner_dimensions (6 columns)
banner_dimensions (6 columns)
browsers (4 columns)
browsers (4 columns)
buyer_metadata_dimensions (7 columns)
buyer_metadata_dimensions (7 columns)
buyer_metadata_metrics (7 columns)
buyer_metadata_metrics (7 columns)
Subtable: buyer_metadata_metrics__attributes
Subtable: buyer_metadata_metrics__specs
Subtable: buyer_metadata_metrics__specs__spec_values
buyer_reporting_operations_stats (7 columns)
buyer_reporting_operations_stats (7 columns)
campaigns (16 columns)
campaigns (16 columns)
cities (6 columns)
cities (6 columns)
continents (5 columns)
continents (5 columns)
device_properties (6 columns)
device_properties (6 columns)
device_types (4 columns)
device_types (4 columns)
display_resolutions (4 columns)
display_resolutions (4 columns)
dma_regions (5 columns)
dma_regions (5 columns)
domains (9 columns)
domains (9 columns)
excel_templates (8 columns)
excel_templates (8 columns)
excel_templates_content (7 columns)
excel_templates_content (7 columns)
Subtable: excel_templates_content__parts
Subtable: excel_templates_content__parts__active_fields
excel_templates_tables (3 columns)
excel_templates_tables (3 columns)
Subtable: excel_templates_tables__fields
global_buyers (6 columns)
global_buyers (6 columns)
industry_verticals (3 columns)
industry_verticals (3 columns)
isps (5 columns)
isps (5 columns)
languages (4 columns)
languages (4 columns)
locales (4 columns)
locales (4 columns)
locations (6 columns)
locations (6 columns)
operating_systems (5 columns)
operating_systems (5 columns)
regions (6 columns)
regions (6 columns)
seller_metadata_dimensions (7 columns)
seller_metadata_dimensions (7 columns)
seller_metadata_metrics (7 columns)
seller_metadata_metrics (7 columns)
Subtable: seller_metadata_metrics__attributes
Subtable: seller_metadata_metrics__specs
seller_reporting_operations_stats (7 columns)
seller_reporting_operations_stats (7 columns)
templates (9 columns)
templates (9 columns)
time_zones (4 columns)
time_zones (4 columns)
tracking_domains (4 columns)
tracking_domains (4 columns)
user_seller_buyer_demand_partners (5 columns)
user_seller_buyer_demand_partners (5 columns)
zipcodes (8 columns)
zipcodes (8 columns)
How the Adform sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Adform supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.
Frequently asked questions
How long does the initial sync take for Adform?
It depends on how much history is in your Adform account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.
Can I sync only some tables or columns?
Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.
What happens when Adform's schema changes?
New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Adform, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Adform instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Adform connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Adform data
Cross-channel reporting
Combine Adform spend and delivery with your other ad platforms in BigQuery to compare cost and performance on one dashboard.
Campaign performance
Track impressions, clicks, and conversions by campaign and line item to see what works and where budget is wasted.
Spend pacing
Monitor daily spend against budget so you can catch overspend or underspend early.
Attribution analysis
Join delivery data with conversions to understand each campaign's contribution to results.
Use Adform data in your AI and BI tools
Once Adform data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Adform data.
Claude
Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Excel
Connect via Power Query's BigQuery connector. Setup guide →
Metabase
Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Adform connector pricing and plan details.
Related connectors
- Google Ads: Sync Google Ads to BigQuery.
- Custobar: Sync Custobar to BigQuery.
- Google Search Console: Sync Google Search Console to BigQuery.
- HubSpot: Sync HubSpot to BigQuery.
- Amplitude: Sync Amplitude to BigQuery.
- Auth0: Sync Auth0 to BigQuery.
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