Magellan AI today released its first-ever Podcast Measurement Benchmark Report, drawing on campaigns measured between January 1 and March 31, 2026, and establishing a new set of publicly available reference points for how podcast advertising actually converts across industries, ad formats, and show tiers.

The report, published in June 2026 by Twenty Nine Enterprises, Inc. - the company operating as Magellan AI - covers three separate performance dimensions: response rate, lead and purchase conversion, and podcast listener growth and retention. It is the first time Magellan AI has published measurement benchmarks of this kind, distinct from its longer-running quarterly spending reports, which have tracked ad volume and brand activity without connecting those figures to downstream outcomes.

The distinction matters. Spending data can indicate where budgets are flowing. Measurement data reveals whether those budgets are producing anything.

A 2.29% average response rate, calculated over 30 days

The headline figure from the Q1 2026 report is a 2.29% average response rate, which Magellan AI defines as the share of unique reached listeners who visited an advertiser site. The calculation divides website visitors by reach, and uses a 30-day lookback window from the date of ad exposure. According to Magellan AI, this figure was calculated across all measured Q1 campaigns using weighted averages to account for differences in campaign scale and avoid over-indexing smaller campaigns.

That 30-day window is not arbitrary. The report tracks how quickly listener response accumulates after exposure, and the shape of that curve carries meaningful implications for media planning. Response builds rapidly in the early days after an ad airs - 32.8% of the total 60-day response volume is captured within the first 24 hours. By day 7 that share reaches 58.0%. The 30-day mark captures 87.4% of all response. After that, the curve flattens sharply. The remaining 12.6% trickles in over the following 30 days.

The practical implication: if a brand is evaluating podcast campaign performance at the two-week mark, it has already seen well over half of the response it will ever get. That is fast by audio standards, and it has consequences for how attribution windows are set and how quickly optimization decisions can be made.

Industries and genres leading on response rate

According to Magellan AI, the top industries by response rate in Q1 were Travel, Food, and Hobbies/Lifestyle. On the genre side, the top performers were Health & Fitness, Comedy, and Sports shows. These rankings reflect an alignment between audience intent and advertiser category - Travel ads in Food podcasts, for example, suggest listeners with both purchasing capacity and engagement tendencies that translate into site visits.

Format shapes response more than ranking does

One of the more striking findings in the report is how significantly ad format affects response rate. Podcasts distributed with video achieved a 2.49% response rate, compared with 1.39% for RSS-only audio shows - a difference of more than 79%. Show ranking also has an effect, though a more moderate one. Top 500 shows posted a 2.29% response rate, top 501-3000 shows came in at 2.20%, and shows ranked above 3000 dropped to 1.63%.

The ad buy type data is equally instructive. Host-read ads generated a 2.45% response rate. Programmatic placements delivered 1.93%. Produced non-host-read ads came in at 1.51%. According to Magellan AI, produced ads are identified as direct-sold but using non-host copy, and programmatic ads are identified as non-host-read copy running programmatically based on copy analysis across multiple programs. The gap between host-read and programmatic is nearly 29%, confirming a pattern that PPC Land has tracked across multiple spending cycles - host-read formats consistently command higher rates and produce stronger performance signals.

Conversion: 9.74% lead rate and 5.22% purchase rate

Among listeners who visited an advertiser site after hearing a podcast ad, 9.74% converted to a lead and 5.22% completed a purchase. These are Q1 2026 global averages from Magellan AI's measured campaign set.

Magellan AI defines lead conversions as form-based actions including sign-ups, inquiries, and registrations. Purchase conversions reflect completed transactions. Both rates are calculated as the relevant event divided by total website visitors - not as a share of total reached listeners, which would produce much smaller figures. The conversion funnel has three stages: reach, response (site visit), and conversion. Each transition has its own rate, and the numbers in this report address the second and third transitions only.

The speed of conversion mirrors the speed of response, but with a slight difference. According to Magellan AI, 71.5% of lead conversions and 68.7% of purchase conversions happen within the first 24 hours of ad exposure. By the 7-day mark those figures climb to 85.8% for leads and 82.6% for purchases. At 30 days, 97.0% of leads and 95.6% of purchases have been captured. The pattern is almost entirely resolved well inside the first month, which aligns with how most podcast advertisers currently set their attribution windows.

Video and ranking diverge for leads versus purchases

The Q1 data reveals an asymmetry that has direct implications for campaign strategy. Video format and show ranking both affect lead conversion substantially - but neither has much effect on purchase conversion.

Podcasts with video generated an 11.27% lead conversion rate against 5.65% for RSS-only shows, a difference of 76%. For purchase conversion, the gap between video and RSS-only formats essentially collapsed: 6.42% versus 4.29%. According to Magellan AI, the video advantage on leads is substantial but does not extend with equal force into the purchase funnel.

Show ranking tells a similar story. Top 500 shows achieved an 11.27% lead conversion rate. Shows ranked 501-3000 came in at 7.99%, and shows ranked above 3000 at 6.60%. That is a 41% difference between the top tier and the mid-tier. For purchase conversion, the top 500 showed 5.20%, mid-tier 5.38%, and long-tail 5.23%. The differences are near-negligible. Whether a listener hears an ad on a massively popular show or a mid-ranked one, the probability of completing a transaction among those who visit the site is almost identical.

This has budget allocation consequences. Advertisers with lead-generation objectives - financial services, B2B software, subscription services - have clear evidence that premium placement and video presence matter. Advertisers running direct purchase campaigns, such as e-commerce or direct-to-consumer brands, have far less reason to pay the premium for top-500 inventory on purchase conversion grounds alone.

Top industries and genres for purchase conversion

According to Magellan AI, the top industries by purchase conversion rate in Q1 were Food, Hobbies/Lifestyle, and Consumer Services & Software. On the genre side, Health & Fitness shows led, followed by Society & Culture and Arts. Health & Fitness appears in both the response rate and purchase conversion genre rankings, suggesting it reliably produces outcomes across the funnel. Arts and Society & Culture showing up in the purchase conversion list is more unexpected - these genres attract engaged audiences who, when they arrive at an advertiser site, appear to convert at higher-than-average rates.

Podcast growth and listener retention: 59.4% repeat listener rate

The third section of the report shifts focus from advertiser-facing metrics to publisher-facing ones, examining how podcast promo campaigns perform in attracting and retaining listeners.

The Q1 2026 average new listener conversion rate - defined as new converted listeners divided by unmodeled reach - came in at 2.55%. Nearly 3 in 5 of those new listeners came back. The repeat listener rate, defined as repeat listeners divided by new converted listeners, was 59.4% for Q1. According to Magellan AI, a repeat listener is someone who returned to listen to more than one distinct episode after initially being reached by a promo campaign.

Genre data splits acquisition from retention

The genre-level breakdown is where the report's findings on listener growth become most actionable. The top genres for new listener conversion rate in Q1 were Business (10.19%), Education (10.12%), Health & Fitness (6.82%), Technology (4.62%), and True Crime (4.33%). These genres acquired new listeners at the highest rates when promo campaigns ran.

The repeat listener rate rankings look quite different. History shows led at 63.98%, followed by TV & Film at 62.54%, News at 61.65%, Arts at 60.80%, and Health & Fitness at 59.11%. The genres that are best at attracting new listeners are not the same genres that are best at keeping them.

True Crime, which had the lowest new listener conversion rate among the five genres listed (4.33%), does not appear in the top repeat listener rate rankings. Business and Education, which topped acquisition, are absent from the retention list. History shows, which led on retention, do not appear in the acquisition top five at all.

According to Magellan AI, these figures reflect promo campaigns that drove listeners to promoted shows, so the new listener conversion rate measures the effectiveness of the promo in pulling in fresh audiences, while the repeat rate measures whether those audiences found enough value to return for additional episodes.

Video and show tier diverge again on listener behavior

The listener growth data produces another format split. Podcasts with video achieved a 3.69% new listener conversion rate against 1.70% for RSS-only shows. But on repeat listener rate, RSS-only shows slightly outperformed video shows: 60.68% versus 57.89%. Video format attracts new listeners more effectively; RSS-only retains them more reliably.

Show ranking shows a different pattern for listener retention than it does for advertiser conversion. For new listener acquisition, the top 500 shows (2.93%) and 501-3000 shows (3.35%) were somewhat comparable, while the top 3000-plus tier dropped to 1.70%. For repeat listener rate, however, long-tail shows above 3000 in ranking recorded 64.43% - meaningfully higher than top 500 (56.19%) or mid-tier (58.06%). Long-tail shows are less effective at attracting new listeners through promos, but better at retaining the ones they do attract.

According to Magellan AI, listener conversion accumulates more gradually than advertiser conversion does. The 30-day mark captures 87.6% of new listener conversions in the 60-day benchmark window, but the 1-day figure is only 39.9% and the 7-day figure is 67.4%. Compare this with advertiser purchase conversion, where 68.7% happens within the first 24 hours. New listeners take more time to commit.

Technical infrastructure behind the report

Understanding the data requires understanding how it was collected. Magellan AI's measurement framework operates through pixel-based attribution, integrating listener data and advertiser site data via several pathways. According to the report, podcast and publisher data is collected through a URL prefix, download logs, or DAI ad tag. The Magellan AI pixel is installed on advertiser sites via Google Tag Manager, Shopify, or other platforms, while app analytics platforms such as Singular or AppsFlyer are also supported for mobile attribution.

The critical step is household matching. Listener data and advertiser site data are matched to households using the Experian graph, connecting device-level signals to household-level identities without requiring direct user identification. This is the same general approach used by other podcast attribution vendors, but the choice of identity graph affects match rates and, consequently, the measured conversion figures.

For advertiser campaign benchmarks, the report used weighted averages rather than simple means - a methodological choice that favors accuracy for buyers making budget decisions based on aggregate performance. Conversion benchmarks reflect either purchases or leads depending on each advertiser's goals and measurement setup. Conversions not directly tied to a podcast were excluded from reported averages.

The measurement window default is 30 days from ad exposure, with conversion credit distributed equally across all ad exposures rather than weighted toward any particular touchpoint. Unless otherwise indicated, figures reflect modeled outcomes based on global conversion data.

Why this matters for the marketing community

Podcast advertising has grown rapidly, reaching $408 million in global spend in December 2025 - the highest single month recorded in Magellan AI's dataset, as PPC Land documented in May 2026. Spending grew 26% year-over-year in Q3 2025 and accelerated to 32% in Q4 2025. PPC Land covered the Q4 2025 benchmark report in February 2026, which documented the entry of 1,482 new brands into the channel during that quarter alone.

That expansion has happened largely without standardized conversion benchmarks. Marketers knew podcasting was growing, and they knew spending was rising. What was missing was a calibrated sense of what a normal conversion rate looks like - for leads, for purchases, for listener acquisition. Without that, budget justification relies either on promo code tracking (which undercounts real impact) or on general audience quality arguments (which are difficult to defend in performance-marketing environments).

The Magellan AI Q1 2026 report begins filling that gap. A 2.29% response rate, a 9.74% lead conversion, and a 5.22% purchase conversion give media planners numbers to benchmark against. The finding that host-read ads outperform programmatic by nearly 30 percentage points on response rate quantifies what many buyers have suspected but struggled to demonstrate.

The video format data deserves particular attention. The 79% difference in response rate between video-enabled podcasts and RSS-only shows is larger than the difference between host-read and programmatic, or between top 500 and long-tail shows by show ranking. PPC Land has tracked the rise of video podcast advertising formats through 2025, including data from the Q3 2025 Magellan AI benchmark showing that simulcast shows with video had 45% host-read ad share versus 34% for RSS-only podcasts. The Q1 2026 measurement report now shows the same video advantage extending into conversion data, with the nuance that it is concentrated in lead generation rather than direct purchase.

Magellan AI expanded its measurement infrastructure materially in early 2026, integrating Nielsen's DMA data into podcast attribution in March 2026 to enable local market measurement across 210 US media markets. The same month, it launched Broadcast Radio Attribution. These product moves extend the same pixel-based attribution framework described in the Q1 benchmark into additional channels. The Q1 measurement report is the first output calibrating what that framework produces in practice across a full quarter of campaigns.

For agencies and advertisers navigating budget allocation in podcast advertising, the Q1 2026 Magellan AI data provides the first vendor-neutral benchmark set against which to evaluate their own campaigns. The challenge, as PPC Land has noted in covering Bauer's Sound Check Europe 2026, is that only 13% of advertisers currently say they confidently use audio attribution tools. The Magellan AI measurement framework represents one infrastructure path toward closing that gap.

Timeline

Summary

Who: Magellan AI, an audio advertising intelligence and measurement company operating as Twenty Nine Enterprises, Inc., headquartered at 165 Broadway, 23rd Floor, New York, NY 10006.

What: The Q1 2026 Podcast Measurement Benchmark Report - Magellan AI's first publication of this kind - covering response rate (2.29%), lead conversion (9.74%), purchase conversion (5.22%), new listener conversion rate (2.55%), and repeat listener rate (59.4%) across podcast campaigns that ran between January 1 and March 31, 2026. The report includes breakdowns by ad format (video versus RSS-only, host-read versus produced versus programmatic), show ranking tier, advertiser industry, and podcast genre.

When: The data covers Q1 2026 (January 1 to March 31, 2026). The report was published in June 2026, with the press outreach dated June 22, 2026.

Where: The measured campaigns are global, with attribution methodology based on the Experian household matching graph. Magellan AI's pixel-based attribution integrates with Google Tag Manager, Shopify, Singular, AppsFlyer, and similar platforms. The report does not break down findings by individual country or market.

Why: As podcast advertising spending accelerates - growing 32% year-over-year in Q4 2025 and attracting thousands of new brands - advertisers lack standardized benchmarks for evaluating whether their campaigns are performing at, above, or below market rates. The Q1 2026 report addresses that gap by providing the first publicly available set of conversion benchmarks from Magellan AI's measurement platform, giving media planners reference data for response, lead generation, purchase outcomes, and listener retention across the major variables that shape campaign performance.