“In podcasting, timing isn’t everything — but it’s the difference between an episode that gets discovered and one that gets buried.”
— Don Jackson, The Raven Media Group
Introduction
You’ve spent hours researching, recording, and editing your latest podcast episode. The content is exceptional. The audio is crisp. The insights are actionable. You’re ready to hit publish—and then you pause.
What day should you release it? What time?
For most podcasters, this decision is made arbitrarily. Monday morning feels professional. Friday afternoon feels casual. Tuesday at 5 a.m. is when the hosting platform’s scheduler happened to be set. The result? Thousands of hours of exceptional content released at suboptimal times, buried under algorithmic noise, and never reaching the audience it deserves.
At The Raven Media Group, I’ve analyzed release timing data across hundreds of podcasts, studied listener behavior patterns across dozens of categories, and worked with creators to optimize their publishing schedules as part of comprehensive growth strategies. What I’ve consistently found is that release timing is one of the most underutilized competitive advantages in podcasting — and when creators get it right, the impact on downloads, engagement, and algorithmic performance is immediate and measurable.
The truth is that there is no single “best” day and time that works for every podcast. But there are data-backed patterns, category-specific insights, and strategic frameworks that can help you identify the optimal release window for your show, your audience, and your goals.
In this article, I’m going to share everything I’ve learned about podcast release timing — the research, the real-world case studies, the mistakes to avoid, and the step-by-step framework you can use to find your perfect publishing schedule.
Let’s dive in.
Why Release Timing Matters: The Algorithm, the Audience, and the Habit Loop
Before we get into the specific days and times, let’s establish why release timing is such a critical variable in podcast performance.
1. The Algorithmic Window of Opportunity
Both Apple Podcasts and Spotify use recency as a significant ranking factor in their recommendation algorithms. When you publish a new episode, you have a narrow window—typically 24 to 72 hours—during which the platform is actively evaluating how your episode is performing relative to other new releases in your category.
During this window, the algorithm is watching:
- How quickly subscribers engage with the new episode
- What percentage of the episode listeners complete
- How many new listeners discover and subscribe to your show
- How many ratings, reviews, and shares the episode generates
If your episode performs well during this critical window, the algorithm rewards you with increased visibility in “New and Noteworthy” sections, category charts, and personalized recommendation feeds. If your episode underperforms—not because the content is weak, but because you released it when your audience wasn’t listening—the algorithm moves on, and your opportunity for organic discovery diminishes dramatically.
The strategic implication: You want to release your episode at the moment when the maximum number of your existing subscribers are most likely to engage with it immediately. Early engagement signals algorithmic promotion, which drives new listener discovery, which compounds your growth.
2. Listener Habit Formation
As I’ve discussed in previous articles, habit formation is the foundation of podcast loyalty. Listeners who build your show into their weekly routine—their Monday morning commute, their Wednesday gym session, their Friday evening wind-down—are your most valuable audience members.
Consistency of release timing is what makes habit formation possible. When listeners know exactly when to expect your new episode, they can schedule it into their lives. When your release schedule is erratic or unpredictable, you’re asking your audience to remember to check for new content—and in a world of infinite content options, that’s a losing strategy.
The strategic implication: Choose a release day and time that aligns with your audience’s natural listening routines, and then publish at that exact time, every single week, without exception.
3. Platform-Specific Discovery Mechanics
Different podcast platforms surface new content in different ways, and understanding these mechanics is essential to optimizing your release timing.
Apple Podcasts features new episodes in subscribers’ “Library” feeds immediately upon release, and it surfaces new shows in category-specific “New and Noteworthy” sections based on recent performance. Episodes released during high-traffic periods have a better chance of being discovered by casual browsers.
Spotify uses a personalized recommendation algorithm that surfaces new episodes from subscribed shows at the top of the user’s home feed. Spotify also sends push notifications to subscribers when new episodes are released — but only if the user has notifications enabled and only if the episode is released during a time window when the user is likely to engage.
YouTube (increasingly important for video podcasts) uses watch time and click-through rate as primary ranking signals. Episodes released when your audience is most active on the platform generate stronger early engagement, which drives better algorithmic performance.
The strategic implication: Your optimal release time may vary slightly depending on which platform drives the majority of your downloads. Multi-platform creators need to optimize for their primary platform while remaining mindful of secondary channels.
What the Data Says: The Best Days and Times to Release a Podcast
Let’s look at what the research, platform data, and real-world performance metrics tell us about optimal podcast release timing.
The Libsyn Data: Industry-Wide Patterns
Libsyn—one of the largest podcast hosting platforms in the world—has published extensive data on download patterns across millions of episodes. Their research consistently shows:
Peak Listening Days:
- Tuesday — The highest average download day across all podcast categories
- Wednesday — The second-highest download day
- Thursday — Strong performance, particularly for business and educational content
- Monday — Solid performance, but slightly lower than mid-week days
- Friday — Declining performance as the week progresses
- Saturday & Sunday — Significantly lower downloads for most categories (with notable exceptions)
Peak Listening Times:
- Morning commute hours (6:00 AM – 9:00 AM) — The single highest listening window across all categories
- Lunch break (12:00 PM – 1:00 PM) — Secondary peak, particularly for shorter episodes
- Evening commute (4:00 PM – 6:00 PM) — Strong performance for interview and entertainment content
- Evening wind-down (8:00 PM – 10:00 PM) — Peak time for true crime, storytelling, and comedy podcasts
The Spotify Insights: Listener Behavior Patterns
Spotify’s internal research—shared through their Spotify for Podcasters platform—reveals additional nuances:
- Early morning releases (5:00 AM – 7:00 AM) generate the strongest same-day engagement because they ensure your episode is waiting in subscribers’ feeds when they begin their morning routines
- Weekday releases outperform weekend releases by an average of 40–60% for most categories
- Consistent release timing (same day, same time every week) generates 25–35% higher subscriber retention than inconsistent scheduling
The Edison Research Findings: Audience Preferences
Edison Research’s Infinite Dial study—the gold standard of podcast audience research—has found that:
- 68% of podcast listening happens on weekdays, with Tuesday through Thursday representing the peak listening window
- Morning listening (6:00 AM – 12:00 PM) accounts for 42% of all podcast consumption, making it the most valuable release window for most shows
- Commute-related listening remains the dominant use case, even as remote work has increased—suggesting that morning routines (not necessarily commutes) are the key behavioral trigger
The Buzzsprout Analysis: Top Podcast Release Patterns
Buzzsprout analyzed the release schedules of the top 100 podcasts on Apple Podcasts and found:
- Tuesday is the most common release day among top-performing podcasts (28% of top shows)
- Early morning releases (12:00 AM – 6:00 AM) are overwhelmingly preferred by successful podcasters, ensuring episodes are available when listeners wake up
- Consistency is universal — 94% of top podcasts release on the same day(s) every week
The Category-by-Category Breakdown: Optimal Release Timing by Podcast Type
Just as optimal episode length varies by category, so does optimal release timing. Here’s what the data shows across major podcast categories:
Educational & Self-Development Podcasts
Optimal Release Day: Monday or Tuesday
Optimal Release Time: 5:00 AM – 7:00 AM (listener’s local time)
Why It Works: Educational podcast listeners are goal-oriented and motivated. They’re most likely to engage with learning content at the beginning of the week when motivation and intention are highest. Monday and Tuesday releases align with the “fresh start” mindset that drives self-improvement behavior.
Case Study: The Mel Robbins Podcast
Mel Robbins releases episodes on Monday and Thursday mornings at 3:00 AM ET—ensuring that episodes are available nationwide when listeners wake up. This timing strategy has been a cornerstone of the show’s algorithmic dominance, consistently generating strong same-day engagement that drives top-tier chart placement.
Interview & Conversation Podcasts
Optimal Release Day: Tuesday or Wednesday
Optimal Release Time: 5:00 AM – 7:00 AM
Why It Works: Interview podcasts tend to be longer (45–90 minutes), making them ideal for mid-week listening when audiences have settled into their weekly routines but haven’t yet hit the Friday wind-down. Tuesday and Wednesda releases capture listeners during their most engaged, focused listening windows.
Case Study: The Tim Ferriss Show
Tim Ferriss releases episodes on Tuesday and Friday mornings. The Tuesday release captures mid-week listeners during peak engagement periods, while the Friday release serves weekend listeners who consume longer-form content during leisure time. This dual-release strategy maximizes reach across different listener segments.
News & Current Events Podcasts
Optimal Release Day: Monday through Friday (daily)
Optimal Release Time: 4:00 AM – 6:00 AM
Why It Works: News podcasts serve a fundamentally different listener need—immediacy and relevance. Daily releases during early morning hours ensure that listeners receive timely information at the start of their day, when news consumption is highest.
Case Study: The Daily (The New York Times)
The Daily releases new episodes Monday through Friday at 6:00 AM ET. This timing is precisely calibrated to reach listeners during their morning routines, and the consistency has made the show a habitual part of millions of people’s daily lives. The result: one of the most downloaded podcasts in the world.
True Crime Podcasts
Optimal Release Day: Thursday or Friday
Optimal Release Time: 12:00 AM – 6:00 AM
Why It Works: True crime listeners are among the most binge-prone in all of podcasting. Thursday and Friday releases position episodes perfectly for weekend binge-listening sessions. Many true crime fans specifically save episodes for Friday evening or weekend listening when they can fully immerse themselves in the narrative.
Case Study: Crime Junkie
Crime Junkie releases new episodes every Monday morning—a strategic choice that gives listeners a compelling reason to start their week with the show. The Monday release has become so associated with the brand that fans refer to it as “Crime Junkie Monday,” demonstrating the power of consistent timing in building audience ritual.
Business & Entrepreneurship Podcasts
Optimal Release Day: Tuesday or Wednesday
Optimal Release Time: 5:00 AM – 7:00 AM
Why It Works: Business podcast listeners are typically professionals consuming content during commutes, workouts, or focused work sessions. Mid-week releases capture audiences during their most productive, engaged periods—when they’re most receptive to business insights and actionable strategies.
Case Study: How I Built This (NPR)
Guy Raz’s How I Built This releases new episodes on Monday mornings, positioning the show as the perfect start-of-week inspiration for entrepreneurs and business professionals. The Monday timing has become a signature element of the show’s brand identity.
🏋️ Health, Fitness & Wellness Podcasts
Optimal Release Day: Monday or Sunday
Optimal Release Time: 5:00 AM – 7:00 AM
Why It Works: Health and wellness content consumption spikes at the beginning of the week (Monday) and the beginning of the planning cycle (Sunday evening/Monday morning). These are the moments when listeners are most motivated to make positive changes and most receptive to wellness content.
🎭 Comedy & Entertainment Podcasts
Optimal Release Day: Thursday or Friday
Optimal Release Time: 12:00 AM – 6:00 AM
Why It Works: Comedy and entertainment podcasts are often consumed during leisure time—commutes, workouts, and weekend activities. Thursday and Friday releases position episodes perfectly for weekend listening, when audiences are in a more relaxed, entertainment-seeking mindset.
Case Study: Conan O’Brien Needs a Friend
Conan’s podcast releases new episodes on Monday mornings, providing a comedic start to the week that has become a ritual for fans. The Monday timing differentiates the show from the crowded Thursday/Friday comedy release window and captures listeners when they’re most in need of a mood boost.
The 7 Biggest Release Timing Mistakes Podcasters Make
In my work with creators at The Raven Media Group, I see the same release timing mistakes repeated constantly. Here are the most common—and how to avoid them:
Mistake #1: Releasing at Random Times
Many podcasters release episodes whenever they finish editing them—sometimes Monday morning, sometimes Thursday afternoon, sometimes Saturday evening. This inconsistency makes habit formation impossible and confuses the algorithm about when to expect new content from your show.
The Fix: Choose a specific day and time and commit to it for at least 90 days. Consistency is more important than perfection.
Mistake #2: Releasing Too Late in the Day
Releasing episodes at 3:00 PM or 8:00 PM means your episode isn’t available during the morning listening window—the highest-traffic period for most podcast categories. By the time your episode goes live, your subscribers have already filled their listening queue with other shows.
The Fix: Release episodes early in the morning (ideally between 12:00 AM and 7:00 AM in your primary audience’s time zone) so your episode is waiting when listeners wake up.
Mistake #3: Ignoring Time Zones
If your audience is geographically distributed, releasing at 9:00 AM in your local time zone means listeners on the opposite coast receive your episode at noon—well after the morning listening window has passed.
The Fix: Release episodes in the early morning hours of the Eastern Time Zone (the largest U.S. audience concentration), ensuring nationwide availability during morning routines.
Mistake #4: Releasing on Weekends Without Strategic Reason
For most podcast categories, weekend releases generate 40–60% fewer downloads than weekday releases. Unless your specific audience data shows strong weekend listening behavior, weekend releases are leaving growth on the table.
The Fix: Default to weekday releases (Tuesday or Wednesday for most categories) unless your data specifically supports weekend timing.
Mistake #5: Copying Competitors Without Testing
Many podcasters choose their release day and time by copying what successful shows in their category are doing. While this can be a reasonable starting point, it ignores the reality that your specific audience may have different listening patterns—and it puts you in direct competition with those shows for algorithmic attention.
The Fix: Use category benchmarks as a starting point, but test different release times and let your own data guide your final decision.
Mistake #6: Never Analyzing Release Timing Performance
Most podcasters set a release schedule once and never revisit it. They don’t track whether Tuesday releases outperform Thursday releases, or whether 5:00 AM releases generate stronger same-day engagement than 7:00 AM releases.
The Fix: Run structured release timing tests (detailed framework below) and let the data guide your optimization.
Mistake #7: Prioritizing Convenience Over Strategy
Many podcasters choose their release day and time based on when it’s convenient for them to finish editing—not when it’s optimal for their audience to listen. This creator-centric approach consistently underperforms audience-centric timing strategies.
The Fix: Batch record and edit episodes in advance so you can release on the optimal day and time for your audience, regardless of when production is completed.
The Release Timing Optimization Framework: Finding Your Perfect Schedule
Here is the step-by-step framework I use with clients at The Raven Media Group to identify the optimal release day and time for any podcast:
Step 1: Analyze Your Current Performance Data
Pull download data from your podcast hosting platform for the last 90 days. Look for patterns:
- Which days of the week generate the highest download numbers?
- What time of day do most downloads occur?
- Is there a consistent pattern, or is performance erratic?
Most hosting platforms (Spotify for Podcasters, Apple Podcasts Connect, Buzzsprout, Libsyn) provide day-of-week and time-of-day analytics. Use this data as your baseline.
Step 2: Survey Your Audience
Send a simple survey to your email list or social media followers asking:
- What day of the week do you typically listen to podcasts?
- What time of day do you most often listen?
- Where are you when you listen? (commute, gym, home, work, etc.)
Direct audience feedback often reveals insights that analytics alone miss—particularly around the context of listening, which is critical for timing optimization.
Step 3: Benchmark Your Category
Research the release schedules of the top 10 podcasts in your category. Identify the most common release days and times. This gives you a baseline understanding of when your target audience has been conditioned to expect new content.
Step 4: Identify Your Primary Listening Window
Based on your data, audience feedback, and category benchmarks, identify your audience’s primary listening window. For most podcasts, this will be one of the following:
- Morning commute/routine (6:00 AM – 9:00 AM)
- Midday break (12:00 PM – 1:00 PM)
- Evening commute/workout (4:00 PM – 6:00 PM)
- Evening leisure (8:00 PM – 10:00 PM)
Step 5: Run a 12-Week Release Timing Test
For 12 weeks, test two different release schedules:
- Weeks 1–6: Release on Day A at Time A (e.g., Tuesday at 5:00 AM)
- Weeks 7–12: Release on Day B at Time B (e.g., Thursday at 6:00 AM)
Track the following metrics for each schedule:
- Total downloads in the first 24 hours
- Total downloads in the first 7 days
- Average completion rate
- New subscriber growth
- Engagement signals (ratings, reviews, shares)
Step 6: Analyze and Optimize
At the end of the 12-week test, compare the performance of both schedules. The schedule that generates stronger early engagement (first 24–48 hours) is almost always the optimal choice, because early engagement drives algorithmic promotion.
Step 7: Commit and Communicate
Once you’ve identified your optimal release schedule, commit to it publicly. Mention it in your episode outros: “New episodes drop every Tuesday morning at 6:00 AM.” Include it in your podcast description. Add it to your social media bios. Make your release schedule a part of your brand identity.
Step 8: Review Quarterly
Audience behavior evolves. Platform algorithms change. Your show’s format may shift. Review your release timing strategy every quarter and adjust based on current data.
How Release Timing Impacts Episode Length Strategy
Release timing and episode length are not independent variables—they interact in ways that significantly impact listener behavior and engagement.
The Morning Commute Window
If your primary listening window is the morning commute (6:00 AM – 9:00 AM), your optimal episode length is constrained by the average commute duration in your audience’s geography. For most U.S. audiences, this means 25–40 minutes is the sweet spot—long enough to deliver substantial value, short enough to be completed in a single commute.
Strategic Implication: If you’re releasing during the morning window, episodes longer than 45 minutes will experience higher drop-off rates because listeners run out of commute time before the episode ends.
The Evening Leisure Window
If your primary listening window is evening leisure time (8:00 PM – 10:00 PM), you have significantly more flexibility on episode length. Listeners in this window are often multitasking (cooking, cleaning, relaxing) or actively choosing to dedicate time to your content. Episodes of 45–90 minutes can perform exceptionally well in this window.
Strategic Implication: True crime, storytelling, and long-form interview podcasts that release in the evening window can sustain longer episodes because the listening context supports extended engagement.
The Workout Window
If your audience primarily listens during workouts (typically 45–75 minutes), your optimal episode length should align with typical workout duration. Episodes in the 40–60 minute range are ideal for this context.
Strategic Implication: Health, fitness, and motivational podcasts that release early in the morning (to be available for morning workouts) should target episode lengths that match common workout durations.
How Release Timing Impacts AdSense Monetization
For podcasters who run companion blogs or content websites alongside their shows — and who monetize through Google AdSense—release timing strategy has a direct impact on web traffic patterns and revenue performance.
Same-Day Traffic Spikes
When you release a podcast episode, a percentage of your audience will visit your website to access show notes, transcripts, or additional resources. If you release on a Tuesday morning, that traffic spike occurs on Tuesday — a high-value day for AdSense because business and professional audiences (who generate higher CPCs) are actively online.
If you release on a Saturday evening, that traffic spike occurs during a lower-value period when fewer premium advertisers are bidding for impressions.
Strategic Implication: For AdSense-monetized podcasters, weekday releases (particularly Tuesday and Wednesday) generate higher-value web traffic than weekend releases.
SEO and Indexing Speed
Google’s crawlers index new content more quickly during high-traffic periods. Publishing podcast show notes and transcripts on Tuesday or Wednesday mornings—when web traffic is highest—can result in faster indexing and earlier search visibility than publishing on weekends.
Strategic Implication: Align your podcast release schedule with your blog publishing schedule to maximize SEO impact.
Email Traffic and Engagement
If you send an email newsletter to announce new episodes, the day and time you send that email directly impacts open rates, click-through rates, and website traffic. Email marketing data consistently shows that Tuesday, Wednesday, and Thursday mornings generate the highest open and click-through rates for most audiences.
Strategic Implication: Release your podcast episode and send your email announcement on the same day, during the optimal email engagement window (Tuesday–Thursday, 8:00 AM – 10:00 AM).
Real-World Results: What Happens When Podcasters Optimize Release Timing
The impact of release timing optimization on podcast performance can be immediate and dramatic. Here are real-world examples of the results I’ve seen when creators apply a data-driven approach to this single variable:
The Inconsistent Educational Podcast: A personal development podcast was releasing episodes sporadically—sometimes Monday, sometimes Thursday, sometimes Saturday—with no consistent time. After implementing a consistent Tuesday 5:00 AM release schedule, the show saw a 38% increase in first-week downloads and a 52% improvement in subscriber retention within 90 days. The consistency alone drove measurable algorithmic improvement.
The Late-Day Business Podcast: A business podcast was releasing episodes at 2:00 PM on Wednesdays—well after the morning listening window. After shifting to a 5:00 AM Wednesday release, the show experienced a 44% increase in same-day downloads and a 31% improvement in episode completion rates. The early release ensured episodes were available during the morning commute, when the target audience was most engaged.
The Weekend True Crime Show: A true crime podcast was releasing episodes on Sunday evenings at 8:00 PM. While this timing worked for a small segment of the audience, overall downloads were significantly below category benchmarks. After testing a Thursday 12:00 AM release (making episodes available for Friday listening), the show saw a 67% increase in first-week downloads and a dramatic improvement in Apple Podcasts category ranking.
The Bottom Line: What’s the Best Day and Time to Release Your Podcast?
After all the data, all the case studies, and all the analysis, here is the honest, data-backed answer:
For most podcasts, the optimal release window is Tuesday or Wednesday between 12:00 AM and 7:00 AM in your primary audience’s time zone.
This timing ensures:
- Your episode is available during the morning listening window (the highest-traffic period)
- You’re releasing during the peak engagement days of the week
- You’re maximizing your algorithmic window of opportunity
- You’re positioning your show for habit formation and routine integration
However—and this is critical—the only way to know for certain what works for your show is to test, measure, and optimize based on your data.
Category benchmarks are a starting point, not a destination. Your specific audience may have different listening patterns. Your content format may perform better at different times. The only way to know is to run structured tests and let the data guide your decisions.
How Don Jackson and The Raven Media Group Can Help
Optimizing your release timing is just one piece of a comprehensive podcast growth strategy—but it’s a piece that can deliver immediate, measurable results with relatively little effort. At The Raven Media Group, we help podcasters at every stage of their journey make smarter, data-driven decisions about every aspect of their show—from release timing and episode length to content strategy, audience development, and monetization.
Our Services Include:
Release Timing Optimization
We analyze your current performance data, design structured release timing tests, and identify the optimal publishing schedule for your specific show and audience.
Podcast Performance Audit
We conduct a comprehensive analysis of your show’s performance across all key metrics — downloads, retention, completion rates, subscriber growth — and deliver a detailed report with prioritized, actionable recommendations.
Algorithmic Growth Strategy
We help you understand how Apple Podcasts and Spotify algorithms work, and we implement strategies that maximize your visibility in recommendation feeds, category charts, and discovery features.
Content Architecture & Structure
We design episode structures, content calendars, and publishing schedules that maximize listener retention, algorithmic performance, and long-term audience growth.
Monetization Strategy
From sponsorship development and AdSense optimization to premium membership programs and affiliate marketing, we build monetization strategies that generate real revenue without compromising audience trust.
Ongoing Strategy & Consulting
For creators who want a long-term strategic partner, we offer ongoing consulting relationships that provide continuous guidance, accountability, and optimization as your show grows.
Ready to Find Your Perfect Release Schedule — and Build the Podcast Your Audience Deserves?
The data is clear. The framework is proven. The only thing standing between your podcast and its next level of growth is the decision to approach your show with the strategic intentionality it deserves.
If you’re ready to stop guessing and start growing—if you’re ready to build a podcast that doesn’t just publish episodes but genuinely serves its audience at the highest possible level—I’d love to connect.
Let’s find your perfect release schedule—and build something worth listening to.
Frequently Asked Questions
Is there a universally best day to release a podcast?
For most podcast categories, Tuesday and Wednesday are the highest-performing release days. However, optimal timing varies by category, audience, and content format. The only way to know for certain is to test and measure your specific show’s performance.
Should I release my podcast at midnight or in the morning?
Releasing between 12:00 AM and 7:00 AM ensures your episode is available when listeners wake up and begin their morning routines. Most successful podcasters release during this window to maximize same-day engagement.
Does release timing affect podcast SEO?
Indirectly, yes. Release timing affects same-day engagement, which influences algorithmic placement on Apple Podcasts and Spotify. For companion blog SEO, releasing during high-traffic weekdays can result in faster Google indexing.
Can I change my release day after I’ve established a schedule?
Yes, but communicate the change clearly to your audience and give them advance notice. Most listeners will adapt quickly if you explain the reasoning and maintain consistency with the new schedule.
How long should I test a new release schedule before deciding if it works?
Test any new release schedule for at least 6–8 weeks to account for natural fluctuations in listener behavior. Twelve weeks is ideal for generating statistically meaningful data.
Should I release multiple episodes per week on the same day or different days?
It depends on your audience’s listening capacity. If your episodes are 20–30 minutes, releasing twice per week on different days (e.g., Tuesday and Thursday) can work well. If your episodes are 60+ minutes, spacing releases across the week prevents listener overwhelm.
Does release timing matter for video podcasts on YouTube?
Yes. YouTube’s algorithm prioritizes watch time and click-through rate in the first 24–48 hours after upload. Releasing when your audience is most active on YouTube (typically evenings and weekends for most channels) maximizes early engagement.
Don Jackson is the founder of The Raven Media Group, a media strategy and consulting firm dedicated to helping creators, entrepreneurs, and organizations build high-impact podcasts and content platforms. Connect with Don.
