Introducing Audience Attributes: Precision targeting at scale
Knowing your audience is only half the battle—finding the right way to connect with them is where the magic happens. If you’ve invested the time to understand who’s most likely to engage with your product or service, you need a targeting solution that turns those insights into action.
That’s where Acast’s Audience Attributes come in. Powered by Comscore Predictive Audiences, Audience Attributes is a sophisticated targeting solution that connects advertisers with podcast listeners based on their interests, content consumption patterns, behaviors, demographics, and more. Best of all, it’s a cookie-free, scalable solution designed for today’s privacy-first world.
Let’s unpack Audience Attributes in more detail.
How it works
Instead of simply targeting people who fit a broad demographic profile, Audience Attributes dig deeper:
- Behavioral insights: It starts with understanding what your ideal customers do, from the shows they listen to and the way they shop to their broader interests.
- Pattern detection: Using machine learning, it identifies patterns within this behavior.
- Audience expansion: Similar patterns are then used to discover more listeners who share those behaviors, adding them to your target audience.
This is all paired with our advanced transcription technology, which analyzes podcast episode content—including keywords, topics, and other signals—to ensure your ad is delivered at contextually relevant moments.
Real-world example: Targeting new parents
Let’s say your brand wants to connect with new parents.
Comscore begins by analyzing behavioral data from its panel of 3 million individuals, using insights like website visits, CTV and linear TV viewership, and search activity. This data, combined with third-party sources, helps identify content consumption patterns unique to new parents.
Using AI, Comscore classifies Acast’s podcast inventory across 350,000 subcategories to pinpoint topics that best predict new parent-related listening habits. The result? A “New Parents” Audience Attribute comprising podcast listeners who engage with these identified topics.
From here, Acast enables accurate campaign forecasting and ad delivery—helping your brand connect with parents, cookie-free and at scale.
Key benefits of Audience Attributes targeting
Extended Reach
Tap into larger pools of relevant listeners who share characteristics with your target audience. This approach allows you to target across all podcasts and genres, scaling your message effectively.
Enhanced precision
Reach your needle-in-a-haystack customer by leveraging machine learning for probabilistic accurate audience segments based on real-life behavioural patterns—not just demographics.
Contextually relevant
Deliver a better listening experience by serving ads in podcast episodes that match your target audience’s interests, ensuring your message lands at just the right moment.
Future-proof tech
Stay ahead of evolving privacy regulations. Our cookie-free dataset is designed to meet GDPR and other compliance standards without sacrificing precise measurement or contextual relevance.
Targeted advertising is a cornerstone of effective marketing, and Acast’s Audience Attributes make it easy to connect with the right listeners at the right time. Powered by data-driven insights, our tools help you identify and engage your audience authentically—across all apps and devices.
Knowing your audience is only half the battle—finding the right way to connect with them is where the magic happens. If you’ve invested the time to understand who’s most likely to engage with your product or service, you need a targeting solution that turns those insights into action.
That’s where Acast’s Audience Attributes come in. Powered by Comscore Predictive Audiences, Audience Attributes is a sophisticated targeting solution that connects advertisers with podcast listeners based on their interests, content consumption patterns, behaviors, demographics, and more. Best of all, it’s a cookie-free, scalable solution designed for today’s privacy-first world.
Let’s unpack Audience Attributes in more detail.
How it works
Instead of simply targeting people who fit a broad demographic profile, Audience Attributes dig deeper:
- Behavioral insights: It starts with understanding what your ideal customers do, from the shows they listen to and the way they shop to their broader interests.
- Pattern detection: Using machine learning, it identifies patterns within this behavior.
- Audience expansion: Similar patterns are then used to discover more listeners who share those behaviors, adding them to your target audience.
This is all paired with our advanced transcription technology, which analyzes podcast episode content—including keywords, topics, and other signals—to ensure your ad is delivered at contextually relevant moments.
Real-world example: Targeting new parents
Let’s say your brand wants to connect with new parents.
Comscore begins by analyzing behavioral data from its panel of 3 million individuals, using insights like website visits, CTV and linear TV viewership, and search activity. This data, combined with third-party sources, helps identify content consumption patterns unique to new parents.
Using AI, Comscore classifies Acast’s podcast inventory across 350,000 subcategories to pinpoint topics that best predict new parent-related listening habits. The result? A “New Parents” Audience Attribute comprising podcast listeners who engage with these identified topics.
From here, Acast enables accurate campaign forecasting and ad delivery—helping your brand connect with parents, cookie-free and at scale.
Key benefits of Audience Attributes targeting
Extended Reach
Tap into larger pools of relevant listeners who share characteristics with your target audience. This approach allows you to target across all podcasts and genres, scaling your message effectively.
Enhanced precision
Reach your needle-in-a-haystack customer by leveraging machine learning for probabilistic accurate audience segments based on real-life behavioural patterns—not just demographics.
Contextually relevant
Deliver a better listening experience by serving ads in podcast episodes that match your target audience’s interests, ensuring your message lands at just the right moment.
Future-proof tech
Stay ahead of evolving privacy regulations. Our cookie-free dataset is designed to meet GDPR and other compliance standards without sacrificing precise measurement or contextual relevance.
Targeted advertising is a cornerstone of effective marketing, and Acast’s Audience Attributes make it easy to connect with the right listeners at the right time. Powered by data-driven insights, our tools help you identify and engage your audience authentically—across all apps and devices.
