Adverity documentation¶
Guides and reference for Adverity Atlas, the marketing knowledge layer for AI, and Adverity Connect, the marketing data pipeline.
NewMarketing knowledge layer
Adverity Atlas
Gives any AI a governed understanding of your marketing data, on the warehouse you already have.
Marketing data pipeline
Adverity Connect
Collects, harmonizes and loads your marketing data into your warehouse, in the app, through the API or from your AI assistant.
Adverity Connect
Work with Connect in the app, through the API or from your AI assistant.
Get started with Connect
Set up data sources, transformations and destinations in the Adverity app.
API reference
Automate the same work from your own code, scripts and pipelines with the Management API.
MCP
Monitor and control your pipelines from your AI assistant, in plain language.
From first source to warehouse
Every datastream follows the same four stages. Start at the first link in each.
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1Collect
Connect a source and fetch its data.
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2Harmonize
Make data from every source line up.
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3Load
Send it where your team works.
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4Monitor
Catch issues before your reports do.
Data sources
- Breaking changesFacebook Ads: dma column removed
The temporary dma column is removed from Facebook Ads extracts.
- Breaking changesGoogle Ads lookups no longer accept mccs argument
The Google Ads customer and billing setup lookups no longer accept the single mccs argument, so API requests that use it stop working.
- Breaking changesWorkspace permission required to read mapping tables
Reading mapping tables and their entries with API keys now requires the Workspace: Read-only permission on the key.
- NewFacebook Ads: campaign_promoted_object field
Facebook Ads Campaign-level data now includes a campaign_promoted_object field, which identifies Advantage+ Shopping (catalogue) campaigns.
- NewGoogle Ads: Asset automation setting attribute
Google Ads Campaign resources have a new attribute, Asset automation setting.