Magellan AI
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About
Magellan AI serves as a comprehensive intelligence and measurement platform specifically designed for the podcast advertising ecosystem. Often referred to as the Google of podcasting, it provides a unified suite of tools that allow users to plan, track, and optimize audio campaigns with high precision. By capturing and analyzing thousands of podcast episodes, the platform offers deep visibility into the market, enabling users to move beyond guesswork and rely on data-driven insights for their media investments and overall strategy. The platform core functionality revolves around its advanced discovery and verification features. For advertisers and agencies, the competitive intelligence tools provide a window into competitor spending habits, creative messaging, and audience reach. Meanwhile, the ad verification system automates the tedious process of performing airchecks. It monitors every ad placement to ensure that spots are delivered at the correct length and position, while simultaneously scanning for brand safety concerns or proximity to questionable content. Beyond simple tracking, Magellan AI offers sophisticated attribution models to prove the ROI of podcasting. Its pixel-based attribution and pod-to-pod measurement capabilities capture user events across streaming audio, video, and podcast channels. This allows marketers to understand the full customer journey and adjust their lookback windows or methodologies as their campaigns evolve. Additionally, the platform provides research-heavy resources like the Podscape and monthly advertiser rankings, which benchmark performance against industry leaders. Magellan AI is tailored for professional environments where scale and accuracy are paramount. It is widely used by top-tier publishers to manage content acquisition and by global agencies to simplify the measurement process for diverse client portfolios. With localized market data available for the UK, Germany, Australia, Canada, and Ireland, it supports international expansion strategies. Its combination of automated QA, granular spend analysis, and cross-channel attribution makes it a unique solution for those navigating the landscape of digital audio.
Pros & Cons
Offers localized market data for several countries including Germany, Australia, and the UK.
Automates the aircheck process to verify the position and length of every ad placement.
Provides monthly research reports and webinars on the top podcast spenders and market trends.
Features a comprehensive database to track competitor spending and creative messaging.
Supports cross-channel tracking across podcast, streaming audio, and video platforms.
Transparent pricing information is not available on the website, requiring a demo request.
The platform focuses exclusively on audio and podcasting, which may not suit multi-channel marketers.
Access to full features requires a scheduled demo which may take up to 48 hours for a response.
Use Cases
Media planners at ad agencies can use the competitive intelligence tools to benchmark client spend against rivals and discover new inventory.
Podcast publishers can utilize content acquisition and media planning features to grow their network and validate ad deliveries for sponsors.
Brand marketing teams can leverage pixel-based attribution to track conversion events and optimize their podcast advertising budgets based on ROI.
Platform
Features
• brand safety
• competitive intelligence
• ad verification
• pixel-based attribution
• pod-to-pod attribution
• media planning
• content acquisition
• incremental lift
FAQs
Which international markets does Magellan AI support?
Magellan AI provides localized insights for several major markets outside the United States. Current supported regions include Canada, the United Kingdom, Ireland, Germany, Australia, and a specific focus on the US-Spanish market.
How does the platform ensure brand safety in podcasting?
The tool uses automated airchecks and ad verification to analyze every placement for length and positioning. It also scans episodes for questionable content and ensures ads are not placed near direct competitors to maintain brand integrity.
What kind of attribution methodologies are available?
Users can choose between pixel-based attribution and pod-to-pod attribution to track conversions. The platform supports multiple methodologies and variable lookback windows to capture events across podcast, streaming audio, and video channels.
Pricing Plans
Enterprise
Unknown Price• Media planning
• Competitive intelligence
• Ad verification
• Pixel-based attribution
• Pod-to-pod attribution
• Incremental Lift
• Brand safety
• International market data
Job Opportunities
Measurement Success Coordinator
Streamline podcast advertising with automated ad verification, competitive intelligence, and pixel-based attribution for brands, agencies, and publishers.
Benefits:
Medical, dental, and vision coverage
Company-subsidized family coverage
Home office improvement reimbursement up to $500 per year
Company laptop and external monitor
20 PTO days
Education Requirements:
Bachelor’s degree
Experience Requirements:
2–4 years of experience in a related role
Comfortable working in Excel and Google Sheets, including using formulas
Strong attention to detail and follow-through
Other Requirements:
Clear written and verbal communication skills
Ability to manage multiple tasks and accounts at once
Comfortable troubleshooting issues and asking questions when something looks off
Responsibilities:
Be responsive to client support requests via email and support channels
Set up and maintain measurement for campaigns
Monitor campaigns for alerts, exceptions, and data inconsistencies
Troubleshoot issues and help resolve them
Support Measurement Success Managers with day-to-day measurement
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Measurement Success Manager
Streamline podcast advertising with automated ad verification, competitive intelligence, and pixel-based attribution for brands, agencies, and publishers.
Benefits:
Medical, dental, and vision coverage
Company-subsidized family coverage
Home office improvement reimbursement up to $500 per year
Company laptop and external monitor
20 PTO days
Education Requirements:
Bachelor’s degree
Experience Requirements:
2–5 years of experience in a similar role
Strong command of Excel and Google Sheets formulas
Other Requirements:
Curiosity, clear communication, and a detail-oriented work style
Ability to troubleshoot issues and stay organized across multiple accounts
Responsibilities:
Respond to client questions through email and support channels
Set up measurement for campaigns across advertisers, agencies, and publishers
Monitor performance and troubleshoot issues before they affect reporting
Lead Zoom trainings to help clients navigate the platform
Build spreadsheets that simplify complex datasets
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Quality Assurance Analyst
Streamline podcast advertising with automated ad verification, competitive intelligence, and pixel-based attribution for brands, agencies, and publishers.
Benefits:
Flexible schedule
It's totally ok to listen to podcasts at work
Education Requirements:
Bachelors or associates degree (preferred)
High school diploma (required)
Experience Requirements:
You pay very close attention to detail
Other Requirements:
Native or fluent English speaker
Proficiency in German, Spanish, and/or French a plus
You’re available for 15-30 hours per week
Responsibilities:
Perform regular quality checks on data
Review and clean up output from our machine learning platform
Support the operations/customer success teams with various projects
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Ratings & Reviews
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