Used by ecommerce brands, agencies, and creators.
What is Custom Audience?
An ad platform audience built from a brand's own data — email lists, website visitors, app users, or customer databases — used for retargeting or exclusion. Podcast-style ads served to custom audiences of past purchasers can drive repeat purchases and cross-sells by referencing the existing relationship in a conversational way.
Clear definition of Custom Audience for ad teams.
How Custom Audience connects to podcast-style ad performance.
Related concepts: LOOKALIKE AUDIENCE, RETARGETING, AUDIENCE SEGMENTATION.
Custom Audience definition
An ad platform audience built from a brand's own data — email lists, website visitors, app users, or customer databases — used for retargeting or exclusion.
Podcast-style ads served to custom audiences of past purchasers can drive repeat purchases and cross-sells by referencing the existing relationship in a conversational way.
Why Custom Audience matters for ad creative
Understanding Custom Audience helps ad teams make better decisions about creative testing, budget allocation, and performance optimization. In the context of podcast-style ads, custom audience is especially relevant because the format changes how audiences engage with ad content.
Teams using Podcads track custom audience alongside other metrics to understand which podcast-style ad angles earn the best response and deserve more budget.
Common questions
Clear answers to help you decide if podcast-style ads are worth testing.
What is Custom Audience in simple terms?
An ad platform audience built from a brand's own data — email lists, website visitors, app users, or customer databases — used for retargeting or exclusion.
How does Custom Audience relate to podcast ads?
Podcast-style ads served to custom audiences of past purchasers can drive repeat purchases and cross-sells by referencing the existing relationship in a conversational way.
What metrics are related to Custom Audience?
Related concepts include lookalike audience, retargeting, audience segmentation. Understanding these together gives you a fuller picture of ad performance.
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