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Getting started with Adverity

  • Glossary
  • Get started with Adverity
    • Get to know Adverity
    • Creating a datastream
    • Applying Data Mapping
    • Loading data into Adverity Data Storage, Explore & Present, and external destinations
    • Creating widgets and a dashboard
  • Migrating to Adverity
    • Adverity for Fivetran users
    • Adverity for Funnel users
    • Adverity for Improvado users
    • Adverity for Marketing Cloud Intelligence users

Data sources

  • Available data sources in Adverity

Connect Data

  • Datastreams
    • Creating a datastream
    • Collecting data
      • Manual, Smart, and Custom fetches
      • Configuring advanced datastream settings
      • Managing datastreams
      • Scaling datastreams
      • Working with data extracts
      • Combining data extracts using Bundle
      • Using datastream templates
      • Using placeholders to name objects
      • Viewing datastream issues
      • Collecting and visualizing non-aggregatable metrics
      • Working with duration data
    • Data Mapping
      • Applying Data Mapping to a datastream
      • Configuring advanced Data Mapping
    • Troubleshooting
      • Troubleshooting data discrepancies
      • Troubleshooting errors when collecting and loading data
  • Authorizations
    • Creating and viewing authorizations
    • Managing authorizations
    • Setting up authorizations to store data extracts
    • Configuring required permissions for data extract storage
    • Authorizing specific data sources
      • Setting up an authorization to Amazon Athena
      • Setting up an authorization to Marketo
      • Setting up an authorization to Partnerize
      • Setting up an authorization to Rakuten Advertising
      • Setting up an authorization to Salesforce Marketing Cloud
      • Setting up an authorization to SFTP server with a public key
      • Setting up an authorization to Web Connect
      • Setting up an authorization to X Public Basic OAuth2
      • Setting up an authorization to TikTok Business
  • Activity
    • Using the Performance Manager

Manage Data

  • Transformations
    • Transforming data in Adverity
    • Using standard transformations
      • Create or Edit Columns
      • Adding rules to the Create or Edit Columns transformation
      • Currency Conversion
      • Join Datastream
      • Match & Map
      • Smart Naming Convention
      • Executing Smart Naming Conventions on conditions
      • Translation
      • Unify Location Data
      • Previewing transformations
    • Using custom script transformations
      • Available custom script instructions
      • Using the Transformation Copilot
      • Creating geolocation transformation scripts
      • Creating ISO region codes for geo maps
      • Creating rounding transformation script
      • Repository of ISO region codes for geo maps
      • Using Python expressions in custom scripts
      • Using Python expressions to manage dates
        • Adding certain dates to data extracts
        • Converting dates from one format to another
        • Converting time data between time zones
    • Mapping tables
      • Creating and applying mapping tables
      • Advanced mapping table settings
      • Automatically populate a mapping table
    • Value tables
      • Creating value tables
      • Advanced value table settings
      • Automatically populate a value table
  • Data Quality
    • Working with universal monitors
    • Working with custom monitors
    • Viewing details of the Data Quality issues
  • Data Dictionary
    • Creating and editing target fields
    • Default Data Mapping
    • Data types and measures
  • dbt Projects (Beta)
    • Adding a dbt project
    • Running a dbt project

Use Data

  • Data Conversations
    • Prompting Data Conversations
    • Setting up your data flow to use Data Conversations
    • Working with Data Conversations notebooks
  • Loading data into Explore & Present
  • Explore
    • Creating widgets and adding them to a dashboard
      • Selecting data to add to a widget
      • Configuring data tables
      • Configuring fields in data tables
      • Creating identical or similar widgets
      • Creating widgets comparing data over time
      • Filtering the data shown in widgets
      • Using Calculated KPIs and adding them to widgets
    • Creating visualization widgets
      • Configuring bar, line, and scatter chart widgets
      • Creating a bar chart to visualize potential impressions
      • Creating a Sankey diagram to visualize duration data
      • Creating custom data sets in widgets
      • Creating geo map widgets
      • Customizing KPI box widgets
      • Displaying images in data tables and KPI boxes
  • Present
    • Creating dashboards in Present
      • Adding widgets to a dashboard
      • Adding images to a dashboard
      • Adding websites and YouTube videos to a dashboard
      • Using dashboard templates
      • Using the Custom Library of widgets
      • Working with widget filter templates in Present
    • Managing dashboards
      • Adding filters to a dashboard
      • Cloning dashboards
      • Confirming data completeness
      • Deleting dashboards
      • Freezing dashboards
      • Optimizing dashboard performance
      • Switching the dimensions and metrics shown in widgets
      • Using dashboard labels
      • Using dashboard pages
      • Using dashboard themes
    • Sharing dashboards
      • Displaying dashboards in TV-screen mode
      • Embedding dashboards and widgets in Microsoft PowerPoint
      • Exporting dashboards
      • Publishing dashboards
      • Sharing dashboards and widgets
  • Destinations
    • Setting up destinations
    • Destination guides
    • Asking someone to set up an authorization to a destination
    • Configuring data loading settings
    • Data types across different database engines
    • Analyzing data with ChatGPT

Administration

  • Adverity core connectors and destinations
  • Understanding your Adverity usage
    • Measuring Adverity usage with unique data rows
    • Viewing resource usage
  • Managing workspaces
    • Creating and deleting workspaces
    • Configuring workspace settings
    • Best practices for workspace structure
    • Cloning workspaces
    • Selecting workspaces
    • Configuring data warehouses for workspaces
    • Setting up storage for data extracts
  • Managing users
    • Adding and deleting Adverity users
    • Changing user settings and passwords
    • Managing user notifications
    • Managing user permissions
    • Configuring Single Sign-On
    • Using two-factor authentication
  • Connecting an external data warehouse
    • Connecting a Google BigQuery warehouse
    • Connecting a Snowflake warehouse
  • Providing Adverity Support with a browser log
  • Administration in Explore and Present
    • Workspace
      • Creating and deleting workspaces in Explore & Present
      • Configuring workspace settings in Explore & Present
      • Configuring the default color palette for Explore and Present
      • White labeling in Explore & Present
    • Users & roles
      • Getting an overview of users in Explore & Present
      • Adding and deleting Explore & Present users
      • Roles and permissions in Explore & Present
      • Changing your user settings in Explore & Present
      • Using role-based filters in Explore & Present
    • Manage
      • Configuring columns settings
      • Managing your dashboards
      • Configuring visualisation settings
      • Using alerts in Explore & Present
    • Security
      • Security settings in Explore & Present
      • Viewing activity audits in Explore & Present

Management API

  • Getting Started
  • Authorization
  • Managing workspaces
    • Creating workspaces
    • Configuring workspaces
  • Creating and configuring authorizations
  • Managing datastreams
    • Creating datastreams
    • Configuring datastreams
  • Collecting data
    • Collecting data
    • Scheduling fetches
  • Configuring Data Mapping
  • Transforming data
    • Creating and configuring transformations
    • Configuring mapping tables
  • Transferring data
    • Creating and deleting destinations
    • Assigning destinations to datastreams
  • Administration
    • Managing jobs
    • Listing issues
    • Managing users
    • Configuring notifications

What's new?

  • Release notes
  • Announcements
  • Incidents

AI & Automation

  • LLM-Ready Documentation
  • Core Adverity concepts for AI

Google Ads: Troubleshooting

Contents

  • I see a 2-step verification error message when fetching data from Google Ads
  • Accounts are missing from the data I have fetched from Google Ads
  • Customer statuses are missing in the authorization Customers

Google Ads: Troubleshooting#

I see a 2-step verification error message when fetching data from Google Ads#

The Customer with ID [ID] has a policy to enforce 2-Step Verification, but the user is not enrolled error message appears when the user who has authorized the connection to Google Ads requires two-factor authentication.

To resolve this issue, the user who authorized the connection must log in to Google Ads and activate two-factor authentication for their account and any sub-accounts.

Accounts are missing from the data I have fetched from Google Ads#

Adverity synchronizes accounts daily around midnight UTC. This sycnhronization has lower priority than manual and scheduled fetches. As a result, if you perform or schedule a high number of fetches, accounts will not be synchronized until after these fetches are complete. Additionally, if you add an account after the daily synchronization and then fetch data, the newly added account will not appear in the data. It will only be included after the next synchronization.

To resolve this issue, manually synchronize the metadata for the authorization you are using to fetch data. For more information, see Synchronizing metadata.

Customer statuses are missing in the authorization Customers#

In the authorization Customers for Google Ads, customers have the status Active or Inactive. If a customer’s status is missing, this is due to Google Ads’s configuration and cannot be changed.

Contents
  • I see a 2-step verification error message when fetching data from Google Ads
  • Accounts are missing from the data I have fetched from Google Ads
  • Customer statuses are missing in the authorization Customers

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