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IAB Podcast Upfront highlights rebounding audiences and increased innovation

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IAB podcast upfronts in New York

IAB podcast upfronts in New York
Left to right: Hosts Charlamagne tha God and Jess Hilarious, Will Pearson, President, iHeartPodcasts and Conal Byrne, CEO, iHeartMedia Digital Group in New York. Image: Chris Wood.

Podcasts are bouncing back from last year’s slowdown with digital audio publishers, tech partners and brands innovating to build deep relationships with listeners.

At the IAB Podcast Upfront in New York this week, hit shows and successful brand placements were lauded. In addition to the excitement generated by stars like Jon Stewart and Charlamagne tha God, the numbers gauging the industry also showed promise.

U.S. podcast revenue is expected to grow 12% to reach $2 billion — up from 5% growth last year — according to a new IAB/PwC study. Podcasts are projected to reach $2.6 billion by 2026.

The growth is fueled by engaging content and the ability to measure its impact. Adtech is stepping in to measure, prove return on spend and manage brand safety in gripping, sometimes contentious, environments.

“As audio continues to evolve and gain traction, you can expect to hear new innovations around data, measurement, attribution and, crucially, about the ability to assess podcasting’s contribution to KPIs in comparison to other channels in the media mix,” said IAB CEO David Cohen, in his opening remarks.

Comedy and sports leading the way

Podcasting’s slowed growth in 2023 was indicative of lower ad budgets overall as advertisers braced for economic headwinds, according to Matt Shapo, director, Media Center for IAB, in his keynote. The drought is largely over. Data from media analytics firm Guideline found podcast gross media spend up 21.7% in Q1 2024 over Q1 2023. Monthly U.S. podcast listeners now number 135 million, averaging 8.3 podcast episodes per week, according to Edison Research.

Comedy overtook sports and news to become the top podcast category, according to the new IAB report, “U.S. Podcast Advertising Revenue Study: 2023 Revenue & 2024-2026 Growth Projects.” Comedy podcasts gained nearly 300 new advertisers in Q4 2023.

Sports defended second place among popular genres in the report. Announcements from the stage largely followed these preferences.

Jon Stewart, who recently returned to “The Daily Show” to host Mondays, announced a new podcast, “The Weekly Show with Jon Stewart,” via video message at the Upfront. The podcast will start next month and is part of Paramount Audio’s roster, which has a strong sports lineup thanks to its association with CBS Sports.

Reaching underserved groups and tastes

IHeartMedia toasted its partnership with radio and TV host Charlamagne tha God. Charlamagne’s The Black Effect is the largest podcast network in the U.S. for and by black creators. Comedian Jess Hilarious spoke about becoming the newest co-host of the long-running “The Breakfast Club” earlier this year, and doing it while pregnant.

The company also announced a new partnership with Hello Sunshine, a media company founded by Oscar-winner Reese Witherspoon. One resulting podcast, “The Bright Side,” is hosted by journalists Danielle Robay and Simone Boyce. The inspiration for the show was to tell positive stories as a counterweight to negativity in the culture.

With such a large population listening to podcasts, advertisers can now benefit from reaching specific groups catered to by fine-tuned creators and topics. As the top U.S. audio network, iHeartMedia touted its reach of 276 million broadcast listeners. 

Connecting advertisers with the right audience

Through its acquisition of technology, including audio adtech company Triton Digital in 2021, as well as data partnerships, iHeartMedia claims a targetable audience of 34 million podcast listeners through its podcast network, and a broader audio audience of 226 million for advertisers, using first- and third-party data.

“A more diverse audience is tuning in, creating more opportunities for more genres to reach consumers — from true crime to business to history to science and culture, there is content for everyone,” Cohen said.

The IAB study found that the top individual advertiser categories in 2023 were Arts, Entertainment and Media (14%), Financial Services (13%), CPG (12%) and Retail (11%). The largest segment of advertisers was Other (27%), which means many podcast advertisers have distinct products and services and are looking to connect with similarly personalized content.

Acast, the top global podcast network, founded in Stockholm a decade ago, boasts 125,000 shows and 400 million monthly listeners. The company acquired podcast database Podchaser in 2022 to gain insights on 4.5 million podcasts (at the time) with over 1.7 billion data points.

Measurement and brand safety

Technology is catching up to the sheer volume of content in the digital audio space. Measurement company Adelaide developed its standard unit of attention, the AU, to predict how effective ad placements will be in an “apples to apples” way across channels. This method is used by The Coca-Cola Company, NBA and AB InBev, among other big advertisers.

In a study with National Public Media, which includes NPR radio and popular podcasts like the “Tiny Desk” concert series, Adelaide found that NPR, on average, scored 10% higher than Adelaide’s Podcast AU Benchmarks, correlating to full-funnel outcomes. NPR listeners weren’t just clicking through to advertisers’ sites, they were considering making a purchase.

Advertisers can also get deep insights on ad effectiveness through Wondery’s premium podcasts — the company was acquired by Amazon in 2020. Ads on its podcasts can now be managed through the Amazon DSP, and measurement of purchases resulting from ads will soon be available.

The podcast landscape is growing rapidly, and advertisers are understandably concerned about involving their brands with potentially controversial content. AI company Seekr develops large language models (LLMs) to analyze online content, including the context around what’s being said on a podcast. It offers a civility rating that determines if a podcast mentioning “shootings,” for instance, is speaking responsibly and civilly about the topic. In doing so, Seekr adds a layer of confidence for advertisers who would otherwise pass over an opportunity to reach an engaged audience on a topic that means a lot to them. Seekr recently partnered with ad agency Oxford Road to bring more confidence to clients.

“When we move beyond the top 100 podcasts, it becomes infinitely more challenging for these long tails of podcasts to be discovered and monetized,” said Pat LaCroix, EVP, strategic partnerships at Seekr. “Media has a trust problem. We’re living in a time of content fragmentation, political polarization and misinformation. This is all leading to a complex and challenging environment for brands to navigate, especially in a channel where brand safety tools have been in the infancy stage.”



Dig deeper: 10 top marketing podcasts for 2024

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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