Podcast Industry Glossary

The connection of podcast monitoring platforms with other business software through application programming interfaces, enabling data sharing and workflow automation.

AI-driven suggestions for podcast content based on user preferences, listening history, and behavior patterns.

The strategies and technologies used to analyze podcast data and metrics to provide actionable insights for business decisions.

Any reference to a specific company, product, or service within podcast content, which can be tracked and monitored for marketing and PR purposes.

The systematic examination of podcast content to identify trends, topics, and patterns relevant to business intelligence.

Tracking mentions of competitors in podcast discussions to understand market positioning, sentiment, and share of voice.

Technology that allows advertisers to place different ads into the same podcast episode based on listener data, location, or when the episode is downloaded.

Study of audience characteristics such as age, location, gender, and interests to better understand who is discussing specific topics in podcasts.

The estimated worth of brand exposure gained through podcast mentions, calculated based on factors like audience size, show influence, and mention context.

The process of converting spoken podcast content into written text, making it searchable and accessible for analysis.

Evaluation of podcast RSS feeds to extract metadata, schedule information, and content updates for monitoring purposes.

Statistical analysis showing how often specific terms or topics appear in podcast content over time.

Monitoring podcast appearances by specific individuals, often used for PR tracking of executives, thought leaders, or brand ambassadors.

The practice of delivering different content or analyzing podcast consumption based on the listener's geographic location.

Evaluation of how specific industries or sectors are discussed in podcasts, including tone, context, and emotional content.

Identifying key podcast hosts, guests, and shows that have significant impact on specific topics or industries.

Automated notification system that informs users when specific terms are mentioned in podcast episodes.

Data about podcast audience characteristics, helping businesses target shows that reach their desired customer segments.

The surrounding content and conversation in which a brand or keyword is mentioned, providing insight into how it's being discussed.

The systematic observation and analysis of podcast content to identify relevant discussions about a brand, industry, or topic.

AI technology that enables computers to understand, interpret, and respond to human language in podcast transcriptions.

Using podcast content analysis to discover potential partnerships, sponsorships, or market gaps for business exploitation.

Promotional messages inserted into podcast content, which can be delivered as host-read endorsements or pre-produced spots.

Quantitative and qualitative assessment of how a brand is represented in podcast discussions, often used to evaluate public relations effectiveness.

Immediate notification when specified terms appear in new podcast episodes, allowing quick response to mentions.

The XML file that contains a podcast's metadata and episode information, used to distribute content to listeners and monitoring services.

Technology that identifies and extracts subjective information from podcast content to determine whether the discussion is positive, negative, or neutral.

The percentage of all mentions within a category or industry that are about a specific brand, used to measure relative brand presence in podcast discussions.

Identification of recurring topics and subjects within podcast content to understand industry trends and audience interests.

The degree to which automated speech-to-text conversion correctly captures the spoken content of a podcast episode.

Custom notification parameters set by users to monitor specific terms, phrases, or topics in podcast content.

Spoken references to brands, products, or topics within podcast episodes, which can be identified through transcription and monitoring.