MARKETING
How Subscribed Audiences Drive Success
The rise of Instagram’s Threads has been nothing short of remarkable.
As I write this article, the app has 112 million users, and by the time you read this, that number will be woefully out of date.
In less than three weeks, Threads has become the 34th largest social platform, sitting between Tumblr (33rd) and Stack Exchange (35th) and rapidly approaching the 150 million user base of Discord. But what does that represent in real value?
Threads proves the value of a subscribed audience
Social media platforms are often measured by their average revenue per user (ARPU) by week, month, or quarter. At the end of the first quarter of 2023, Meta’s quarterly ARPU (for Facebook and Instagram) in the United States and Canada was an impressive $48.85.
Meta has said it won’t sell ads on Threads until next year. And, even if it did, the average revenue per user would probably initially look more like Twitter’s quarterly ARPU – $4.96, according to some of the last numbers publicly available.
Let’s do some “back-of-the-envelope” math. If Threads had a quarterly ARPU of $5 at launch, the company would have created over $2 billion in annual revenue ($500 million per quarter multiplied by four) in the two weeks when over 100 million people downloaded the app.
That’s incredible.
More than anything, Threads’ phenomenal success speaks to the value of a subscribed, engaged, and addressable audience.
Threads’ phenomenal success speaks to the value of a subscribed, engaged, and addressable audience, says @Robert_Rose via @CMIContent. Click To Tweet
Subscribed audience power drives media company projects
Media companies have known the powerful connection between existing audiences and new products for years.
Think about the history of television and the concept of a “lead-in” audience. When a network wanted to stack the promotion deck for a new series, it would schedule the show to follow its most popular series.
Seinfeld flopped in its Wednesday night debut. But when NBC scheduled it to air after summer reruns of the popular comedy Cheers, audience reaction convinced the network to pick up more episodes. When Seinfeld returned to Wednesday nights, it cracked the list of top 30 shows by viewership. In the middle of the fourth season, it moved to Thursday nights, following Cheers, and the ratings jumped (and eventually surpassed the audience size of its lead-in show).
This phenomenon plays out across media properties today. Movie studios create “universes” to familiarize audiences with a character and then spin the character off as the star of other movies and series across platforms. Streaming services like Netflix and Disney+ use audience data to guide plotlines, directors, actors, music, and even what projects to develop or license.
This media company magic forms the foundation for advertising and sponsorships. Brands pay to advertise because “renting” the attention of an audience that’s already paying attention to the media company’s content is less expensive than building that audience and attention from scratch.
Engaged, subscribed audiences drive new products for brands, too
CMI has evangelized this model for more than a decade. Developing a relationship with an engaged, subscribed audience usually starts when a business transforms its email newsletter, blog, resource center, or digital magazine to deliver value to readers instead of sales pitches.
The content champion rationalizes the role of content marketing to executives using this logic: “If we can develop X number of audience visits or Y number of subscribers, we can turn that into Z number of customer opportunities.”
Then comes the difficult work of building the first audience and transforming it into a group that wants to hear from your brand, likes what you say, and trusts you to deliver value continually.
Too often, that’s the end of the conversation. But media companies understand the first audience just starts the magic. Engaged audiences are flywheels that add value exponentially to your business.
The first subscribed audience your #ContentMarketing attracts starts a flywheel that adds exponential value to your business, says @Robert_Rose via @CMIContent. Click To Tweet
Subscribed audiences propel new content to new heights
The Cleveland Clinic’s Health Essentials blog grew to 12 million monthly visitors over 10 years. But when it revamped its health library site, the audience for that site grew from 200,000 to 2 million monthly visitors in just three years.
How did the health library audience grow so much faster than the blog? It benefited from a lead-in (existing) audience.
Recently, I worked with a nonprofit that relied on two donation strategies. It conducted seasonal campaigns through classic advertising and paid social media promotion. It also attracted a small number of monthly donors who signed up via the nonprofit’s website.
A revitalized audience development strategy helped grow the organization’s email list from 10,000, most of whom were monthly donors, to over 30,000 subscribers in two years. It converted many of those subscribers into monthly donors more efficiently than they could have with traditional advertising. The organization also used insight from its subscribed audience to make its paid media spend more effective.
When the nonprofit promoted its new podcast to its 30,000 email subscribers, it grew a listening audience of 3,500 followers within the first eight weeks. That podcast led to an increase in their monthly donor group because it allowed a more intimate connection between the organization and the listener.
Understanding where you are is the first step
Studies show acquiring a new customer is between five and 25 times more expensive than retaining one, depending on your industry.
Customers add wealth to your business because they buy your products and services. But expand that view, and you’ll see that audiences do something similar. They add wealth to your business because they can make marketing and sales more efficient, provide insight to reach customers more effectively, and even add revenue.
That is the real business case for content marketing. An audience becomes one of the company’s most important assets. Every media company has understood and measured that for years.
You can look at it this way too. What’s your average revenue per audience (ARPA)? I promise the road to your first valuable audience will involve many challenges and adventures. Once you’re there, it gets easier and faster.
It’s your story. Tell it well.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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