Find unused audiences with AI Assistant
Last update: February 14, 2025
- Topics:
- AI Assistant
- Audiences
CREATED FOR:
- Beginner
- User
Learn how to identify unused audiences with AI Assistant so you can delete them and make your marketing operations more efficient. For more information on querying the AI Assistant, see the Question guide for AI Assistant.
Transcript
Let’s take a look at how AI Assistant and Adobe Experience Platform can help optimize marketing operations by decluttering audiences. I need to find all of my unused audiences that clutter up my system so that I can keep my audience inventory clean and optimized. To solve this problem, I would normally have to manually review each audience and identify all of those that have zero profiles. I have to check other campaigns and audience lists to confirm that these audiences are not being used in any other destinations before I can proceed with their deletion. With the new AI Assistant, I can ask these questions directly to the AI Assistant and it will provide me with a list of hyperlinks that I can act on from right within the responses. Let’s see this in action. I am going to ask the AI Assistant to help me find which of my audiences have zero profiles. Once AI Assistant has returned with the list of audiences with no profiles, you can expand the list to see more, download the full CSV, or use the links provided to go right into the audience details to confirm. Next, let’s ask the AI Assistant which of my audiences have never been activated to a destination. Again, we can explore this response, download the full list, and click through to the audience to see the details. Next, you know we’re feeling good about this information that we have found, but just to make sure that we’re doing all the steps properly, we can even ask the AI Assistant to provide a list of best practices for deleting an audience, just to make sure we have all of our I’s dotted and T’s crossed. Now we are ready to proceed. Let’s take this one more step and let’s get AI Assistant to find us a list, a combined list of audiences that have never been activated and have zero profiles. With this enhanced prompt and response, we can go through the list and start removing the clutter to streamline and clean our audience inventory, making it easier and more efficient for us to find high value audiences and activate them to our various destinations. You too can increase your operational efficiencies by using AI Assistant just like I did.
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Experience Platform
- Platform Tutorials
- Introduction to Platform
- A customer experience powered by Experience Platform
- Behind the scenes: A customer experience powered by Experience Platform
- Experience Platform overview
- Key capabilities
- Platform-based applications
- Integrations with Experience Cloud applications
- Key use cases
- Basic architecture
- User interface
- Roles and project phases
- Introduction to Real-Time CDP
- Getting started: Data Architects and Data Engineers
- Authenticate to Experience Platform APIs
- Import sample data to Experience Platform
- Administration
- AI Assistant
- Audiences and Segmentation
- Introduction to Audience Portal and Composition
- Upload audiences
- Overview of Federated Audience Composition
- Connect and configure Federated Audience Composition
- Create a Federated Audience Composition
- Audience rule builder overview
- Create audiences
- Use time constraints
- Create content-based audiences
- Create conversion audiences
- Create audiences from existing audiences
- Create sequential audiences
- Create dynamic audiences
- Create multi-entity audiences
- Create and activate account audiences (B2B)
- Demo of streaming segmentation
- Evaluate batch audiences on demand
- Evaluate an audience rule
- Create a dataset to export data
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- Sources overview
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- Ingest data from Audience Manager
- Ingest data from cloud storage
- Ingest data from CRM
- Ingest data from databases
- Streaming ingestion overview
- Stream data with HTTP API
- Stream data using Source Connectors
- Web SDK tutorials
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- Data Lifecycle
- Destinations
- Destinations overview
- Connect to destinations
- Create destinations and activate data
- Activate profiles and audiences to a destination
- Export datasets using a cloud storage destination
- Integrate with Google Customer Match
- Configure the Azure Blob destination
- Configure the Marketo destination
- Configure file-based cloud storage or email marketing destinations
- Configure a social destination
- Activate through LiveRamp destinations
- Adobe Target and Custom Personalization
- Activate data to non-Adobe applications webinar
- Identities
- Intelligent Services
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- Understanding Real-Time Customer Profile
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- Union schemas overview
- Create a computed attribute
- Pseudonymous profile expirations (TTL)
- Delete profiles
- Update a specific attribute using upsert
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- Identity data in Privacy requests
- Privacy JavaScript library
- Privacy labels in Adobe Analytics
- Getting started with the Privacy Service API
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- Elevating the Marketer’s Role as a Data Steward
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- Building blocks
- Plan your data model
- Convert your data model to XDM
- Create schemas
- Create schemas for B2B data
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- Configure relationships between schemas
- Use enumerated fields and suggested values
- Copy schemas between sandboxes
- Update schemas
- Create an ad hoc schema
- Sources
- Use Case Playbooks
- Experience Cloud Integrations
- Industry Trends