Magellan AI today published a case study showing how UK and Australia-based podcast media agency Earmax Media grew website visitor conversion rates more than 12x over two years, tracking 328 purchases of high-value travel packages through a single measurement platform that replaced a fragmented mix of network-by-network tracking providers.

The case study, released in June 2026, documents three sequential campaigns Earmax Media ran on behalf of Explore Worldwide, a global adventure travel operator. Each campaign ran inside a curated podcast media plan combining produced audio ads with host-read sponsorships, and each one delivered sharper results than the one before. The results raise a specific question for performance marketers working in audio: how much of podcast advertising's documented underperformance comes from fragmented measurement rather than from the channel itself?

Background: a fragmented measurement problem

Earmax Media is a podcast advertising agency operating across the United Kingdom and Australia. According to Magellan AI, the agency's method combines curated podcast media planning with tailored audio creative designed to reach specific audiences in specific listening contexts. That sounds straightforward. The operational reality was not.

Before adopting Magellan AI, the agency had to pull campaign data from whichever tracking provider each podcast network used. For campaigns spanning multiple shows and publishers - which most campaigns do - that process required manual reconciliation across multiple data sources. The result was slower reporting and, more critically, inconsistent views of performance. When conversion numbers do not align across sources, optimisation decisions get harder. Budget reallocation requires confidence in the data, and the data was not producing that confidence.

The problem Earmax Media faced is structurally common across podcast advertising. PPC Land has documented extensively how the walled garden nature of different podcast platforms makes cross-platform aggregation difficult, with different systems reporting different things. A Bauer Media Audio study from April 2026 found that only 13% of advertisers confidently use audio attribution tools, even as 96% plan to maintain or increase audio spend. Measurement fragmentation is not a niche agency problem. It is the central structural barrier to scaling podcast advertising investment.

What Magellan AI replaced

Magellan AI is a podcast advertising intelligence and measurement company headquartered at 165 Broadway, 23rd Floor, New York, NY, and operating under the legal name Twenty Nine Enterprises, Inc. According to the company, its platform covers more than 50,000 podcasts and offers a range of measurement approaches including pixel-based attributionpod-to-pod attributionincremental lift measurement, and ListenLinks.

For Earmax Media, the critical shift was consolidation. According to Magellan AI, the platform replaced multiple tracking providers with a single dashboard, giving the agency visibility across pre-roll, mid-roll, category-based buys, and host-read sponsorships simultaneously. That unified view allowed the team to see which placements drove website visits, which drove leads, and which drove purchases - in a consistent format, without manual stitching.

The pixel-based attribution approach works by installing a Magellan AI pixel on advertiser websites, typically via Google Tag Manager, Shopify, or another tag management system. Listener data and advertiser site data are matched to households using identity graph infrastructure, connecting device-level signals to household-level identities without requiring direct user identification. The result is an attribution signal that can connect a podcast episode to a site visit, a form fill, or a purchase, even when the listener did not click a promo link.

This matters for a campaign like Explore Worldwide's, where the product - adventure travel packages priced between £2,000 and £5,000 - involves a long consideration cycle. A listener who hears an ad during a True Crime episode on a Tuesday may not book a trip until weeks later. Attribution approaches that rely on immediate promo code redemption would miss most of that signal entirely.

The campaign architecture

The Explore Worldwide work began in 2023/24 with what Magellan AI describes as the first campaigns establishing Earmax Media's creative approach. According to the case study, these initial campaigns paired 30-second produced ads in rotation with host-read sponsorships across a curated media plan. The combination matters: produced ads allow consistent messaging at scale; host-read sponsorships embed the brand into the voice of a trusted presenter.

The 2025/26 campaign expanded that model substantially. Earmax Media produced 21 tailored host-read scripts, adapting the creative to different shows and audience types rather than deploying a single generic sponsorship. The campaign also introduced new formats. A True Crime category buy was added to the existing curated showlist and host-read sponsorship placements, spreading the media plan across genre lines.

True Crime is one of the most consistently high-performing podcast genres for engagement. PPC Land's coverage of the Global Podcast Advertising Compass 2025 documented that True Crime over-indexes female listeners globally at 32% compared to baseline, making it a deliberate audience-targeting choice rather than an experimental add-on for a travel advertiser like Explore Worldwide.

The numbers from the 2025/26 campaign

The 2025/26 campaign results, as published by Magellan AI, are as follows:

The campaign reached 1.57 million unique listeners across 3.7 million impressions. It generated more than 70,000 website visits, 988 leads, and 328 tracked purchases of travel packages priced between £2,000 and £5,000. That purchase figure represents a meaningful revenue contribution, given that even the lower end of the package price range implies total tracked purchase value well above £600,000.

The conversion data across campaign types reveals how sharply performance improved from the 2023/24 campaigns to the 2025/26 campaign. For the curated showlist placement type, the website visitor conversion rate grew from 0.45% to 6.62% - a rise of more than 14 times. Host-read sponsorships moved from 0.44% to 6.76%, a comparable trajectory. The new True Crime placements - without a direct baseline from prior campaigns - delivered a 5.11% conversion rate, improved from a 2.97% initial rate during the same campaign period.

According to Magellan AI, visitor conversion rates grew more than 12x over two years across curated showlists and host-read sponsorships combined, from under 0.5% to over 6%. That figure is the headline the case study leads with, and it holds up when examined against the individual placement breakdowns.

Client investment tracked the improvement. According to Magellan AI, Explore Worldwide's spend with Earmax Media has grown 4x since the first campaign.

Why conversion improved: data compounding

The mechanism behind the improvement is worth examining. Each campaign gave Earmax Media access to cleaner, consolidated data than the one before. According to Magellan AI, the team could see which shows to scale, which creative formats converted, and where to add new placements. Optimisation was not guesswork. It was informed by a consistent data trail.

This is the compounding dynamic referenced in the case study title. Better measurement produces better data. Better data produces better allocation decisions. Better allocation produces higher conversion rates. Higher conversion rates justify increased client investment. That cycle repeated across three campaigns and two years.

The 21 tailored host-read scripts in the 2025/26 campaign are a concrete example of data-informed creative production. Writing a single host-read script and deploying it uniformly is operationally simpler. Writing 21 different scripts - each tailored to a specific show's audience - requires investment in creative development that is only justifiable if the data shows host-read formats converting. The Magellan AI data showed exactly that, and the 2025/26 creative approach followed from it.

PPC Land's analysis of Magellan AI's Q1 2026 Podcast Measurement Benchmark Report found that host-read ads generated a 2.45% response rate in aggregate, compared with 1.93% for programmatic placements and 1.51% for produced non-host-read ads. The gap between host-read and programmatic was nearly 29%. Earmax Media's Explore Worldwide results show even larger gaps between placement types, which may reflect the campaign's tight audience curation and the specificity of the 21 scripts.

Context: podcast conversion benchmarks

The 6.62% and 6.76% website visitor conversion rates that Earmax Media achieved on the curated showlist and host-read placements respectively need a reference point. For comparison, Magellan AI's Q1 2026 Podcast Measurement Benchmark Report - the first public report of its kind from the company - put the average purchase conversion rate for podcast advertising at 5.22%, based on campaigns measured between January 1 and March 31, 2026. That benchmark covers a much broader set of advertisers and categories. The Earmax Media figure is for visitor-to-conversion on a specific travel product with a high price point, not a direct equivalent.

The Q1 benchmark report also identified Travel as one of the top three industries by response rate in Q1 2026, alongside Food and Hobbies/Lifestyle. That sector ranking is consistent with Explore Worldwide's performance in a curated podcast campaign, where the audience selection and creative tailoring compound.

The conversion figures also sit within a broader context of audience engagement. Research documented on PPC Landfrom The Trade Desk and YouGov, conducted across the US, UK, and Germany in June 2025, found that 44% of UK podcast listeners never skip an episode of their favourite show, and 71% maintain loyalty to their favourite podcast. Earmax Media's campaigns reach audiences in precisely those markets.

The Australian and UK podcast market backdrop

Earmax Media operates across the UK and Australia - two markets where podcast advertising infrastructure has developed significantly, though from different starting points than the US-dominated global spend picture.

According to IAB Australia's tenth annual Audio Advertising State of the Nation report, published March 3, 2026, Australian digital audio advertising crossed $339 million in annual spend in 2025, with podcast advertising specifically reaching $134 million - growing at 13.5% year-on-year, faster than streaming audio's 5.0% rate. As PPC Land reported in its coverage of the IAB Australia report, fragmented measurement remains the central structural constraint preventing confident planning, even as 69% of Australian buyers plan to increase podcast investment.

In the UK, the picture shifted substantially in the first half of 2026. According to a Sounds Profitable and Sound Insights study published May 21, 2026, podcast ads reach 43% of UK adults monthly, 79% recall an ad within the past week, and 44% made a purchase after hearing a podcast ad. PPC Land's coverage of those findings noted that UK podcast advertising still captures less than 5% of total UK audio ad spend, suggesting the audience engagement data has not yet translated into proportional budget allocation.

Earmax Media's results with Explore Worldwide sit directly at the intersection of these dynamics. The campaign demonstrates what becomes possible when measurement infrastructure removes the reconciliation burden that has historically made UK and Australian podcast campaigns difficult to optimise.

What the award signals

The 2025/26 Explore Worldwide campaign won Best Use of Audio in Media Planning at the Campaign Audio Awards. Awards in media planning categories tend to reward documented business outcomes rather than creative novelty, which makes this recognition consistent with the conversion data Magellan AI published.

The category - audio media planning specifically, not audio creative - also reflects where the measurable value sits in this case. Earmax Media's competitive advantage was not simply in writing better scripts. It was in building a measurement infrastructure that told the team which shows to keep, which to drop, which creative formats converted, and where to expand. The award validates that operational capability alongside the creative output.

What this means for podcast media agencies

The Earmax Media case study is relevant to agencies operating in podcast advertising for several interconnected reasons.

The first is the measurement infrastructure question. Agencies working across multiple podcast networks without a unified measurement layer face the same manual reconciliation problem Earmax Media had before Magellan AI. Spreadsheet-based reconciliation across divergent tracking providers is not just inefficient. It produces inconsistent performance views that make optimisation unreliable and budget justification difficult.

The second is the compounding logic. The case study documents a three-campaign arc where each iteration improved on the last. That pattern is only achievable if the data from each campaign informs the next. Agencies that treat individual podcast campaigns as standalone activities - without a persistent measurement layer capturing placement-level performance over time - cannot compound results the same way.

The third is the high-value purchase question. Podcast advertising is frequently discussed in the context of direct-response categories: consumer software subscriptions, mattresses, financial services, supplements. The Explore Worldwide campaigns demonstrate measurable attribution for a product priced between £2,000 and £5,000, with a long consideration cycle and a geographically distributed audience. That extends the documented use case for podcast attribution beyond the categories where it has historically been easiest to demonstrate.

PPC Land's coverage of the full-funnel measurement debate in audio has consistently documented the gap between what the medium delivers and what advertisers can prove. The Magellan AI platform, with its pixel-based attribution tied to household-level identity matching, is one infrastructure path toward closing that gap - and the Earmax Media case study offers a multi-year data point showing what the closing looks like in practice.

Broader Magellan AI measurement expansion

The Earmax Media results were published as Magellan AI continues expanding its measurement capabilities. In March 2026, the company integrated Nielsen's DMA data into podcast attribution, enabling local market measurement across 210 US media markets - the first time podcast attribution could be segmented by the same geographic boundaries that television and radio buyers have used for decades. The same month, Magellan AI launched Broadcast Radio Attribution, extending its pixel-based measurement framework to broadcast radio campaigns alongside digital audio.

These infrastructure moves post-date the Earmax Media campaigns, but they extend the same measurement logic that made the Explore Worldwide results possible: consolidate attribution into a single platform, reduce reconciliation overhead, and produce a consistent data trail that can compound across campaigns and channels.

Timeline

  • 2023/24 - Earmax Media runs first campaigns for Explore Worldwide, establishing creative approach with 30-second produced ads and host-read sponsorships; initial website visitor conversion rates under 0.5%
  • August 7, 2025 - Edison Research publishes The UK Podcast Consumer 2025, documenting 51% monthly podcast consumption among UK adults 16 and older; PPC Land coverage
  • November 4, 2025 - Magellan AI releases Q3 2025 Podcast Advertising Benchmark Report showing 26% year-over-year growth; PPC Land coverage
  • 2025/26 - Earmax Media runs third campaign for Explore Worldwide with 21 tailored host-read scripts and new True Crime category buy; conversion rates reach 6.62% on curated showlist and 6.76% on host-read sponsorships
  • 2025/26 - Campaign reaches 1.57M unique listeners, 3.7M impressions, 70,000+ website visits, 988 leads, 328 tracked purchases
  • 2025/26 - Explore Worldwide spend with Earmax Media grows 4x since first campaign
  • 2025/26 - Campaign wins Best Use of Audio in Media Planning at Campaign Audio Awards
  • February 10, 2026 - Magellan AI Q4 2025 Podcast Benchmark Report released, documenting 32% year-over-year growth and 1,482 new brands entering podcast advertising; PPC Land coverage
  • March 3, 2026 - Magellan AI integrates Nielsen DMA data into podcast attribution across 210 US media markets; PPC Land coverage
  • March 3, 2026 - IAB Australia publishes Audio Advertising State of the Nation report documenting $339 million in 2025 digital audio spend; PPC Land coverage
  • March 24, 2026 - Magellan AI launches Broadcast Radio Attribution; PPC Land coverage
  • May 21, 2026 - Sounds Profitable publishes The Advertising Landscape UK, finding 43% monthly reach and 44% purchase conversion for podcast ads among UK adults; PPC Land coverage
  • June 22, 2026 - Magellan AI publishes Q1 2026 Podcast Measurement Benchmark Report, the first-ever quarterly conversion benchmark; PPC Land coverage
  • June 25, 2026 - Magellan AI distributes Earmax Media case study to media contacts
  • June 26, 2026 - Case study published, documenting compounding results across three campaigns and a 12x+ conversion rate improvement over two years

Summary

Who: Earmax Media, a podcast media agency operating across the UK and Australia, together with its client Explore Worldwide, a global adventure travel operator, and measurement platform Magellan AI (Twenty Nine Enterprises, Inc.), headquartered in New York.

What: Magellan AI published a case study in June 2026 documenting how Earmax Media used its measurement platform across three podcast advertising campaigns for Explore Worldwide. The results include a more than 12x improvement in website visitor conversion rates, from under 0.5% to over 6% across curated showlists and host-read sponsorships; 328 tracked purchases of travel packages priced between £2,000 and £5,000; and a 4x growth in client investment since the first campaign.

When: The campaigns ran across 2023/24 and 2025/26. The 2025/26 campaign is the one that produced the headline results. The case study was distributed on June 25, 2026, and published in June 2026.

Where: The campaigns ran across podcast inventory in the UK and Australia. Magellan AI is headquartered in New York. The Campaign Audio Awards, at which the 2025/26 campaign won Best Use of Audio in Media Planning, are a UK-based industry awards programme.

Why: The case study matters for the marketing community because it provides documented evidence of multi-year conversion improvement in podcast advertising through consolidated measurement, in a high-value product category - adventure travel packages priced between £2,000 and £5,000 - where attribution is technically challenging and consideration cycles are long. It also quantifies what agencies lose without a unified measurement layer: not simply reporting efficiency, but the compounding optimisation capability that produces systematically better outcomes across successive campaigns.