Facebook Ads
Facebook (Meta) advertising campaigns reach millions of people on a daily basis. The Facebook Ads data for the spend and metadata about the views, potential customers, conversions, etc. is available to you to bring into your data pipeline and your warehouse to build more insights, KPIs, etc. with DLH.io so that you can be as efficient and effective as possible with your marketing objectives.
DataLakeHouse.io gives you the no-code tools to connect to your Facebook Ads and extract this data on your terms so you can get at the core of the data so you can see all aspects of your campaigns.
DataLakeHouse.io securely connects to your Facebook Ads account. Using the form in the DataLakeHouse.io portal please complete the following steps:
- Enter a Name or Alias for this connection, in the 'Name/Alias' field, that is unique from other connectors.
- Enter in the 'Target Schema Prefix' field, a name that will be unique in your cloud warehouse destination database where you wish to replicate the data.
- Click the Authorize Your Account button which will save the connection.

The following Facebook Ads entities are replicated to your target destination. These are the table names you will see:
- AD
- ADS_PIXEL
- AD_ACCOUNT
- AD_ACCOUNT_ATTRIBUTION_SPEC
- AD_ACCOUNT_DELIVERY_CHECK
- AD_ACCOUNT_USER
- AD_ACTIVITIES
- AD_CAMPAIGN
- AD_CAMPAIGN_ISSUE_INFO
- AD_CONVERSION_SPECS
- AD_DELIVERY_CHECK
- AD_GROUP_ISSUE_INFO
- AD_IMAGE
- AD_INSIGHT
- AD_LABEL
- AD_PLACE_PAGE_SET
- AD_RECOMMENDATION
- AD_RULE
- AD_RULES_HISTORY
- AD_RULE_HISTORY_RESULT
- AD_RULE_HISTORY_RESULT_ACTION
- AD_SET
- AD_SET_AD_RECOMMENDATION
- AD_SET_ATTRIBUTION_SPEC
- AD_SET_FREQUENCY_CONTROL_SPECS
- AD_SET_ISSUE_INFO
- AD_SET_SCHEDULE
- AD_STUDY
- AD_TRACKING_SPECS
- AD_VIDEO
- AD_VOLUME
- BUSINESS
- SYSTEM_USER
If any issues occur with the authorization simply return to the sources page in DataLakeHouse.io, edit the source details and click the Save & Test or Authorize Your Account or Re-Authorize Account button to confirm connectivity. If any issues persist please contact our support team via the DataLakeHouse.io Support Portal.