MARKETING
How To Stop Burying Your Content Signal In So Much Noise [Rose-Colored Glasses]
The world is very noisy right now.
Sure, a lot’s going on politically, epidemiologically, and societally. But that’s not exactly (or not only) what I mean.
In 2022, organizations put even more importance on creating digital content and content-driven experiences. Consider the recent conversation I had with a new media company in the gaming space. They want to figure out how to ramp up their article production (using an artificial intelligence solution) from 25 to more than 500 per week, or 30,000 posts every year.
You read those numbers correctly: 30,000 posts per year.
No wonder creating a content marketing strategy feels like shouting into a hurricane these days.
Creating a #ContentMarketing strategy feels like shouting into a hurricane. But that’s nothing new, says @Robert_Rose via @CMIContent. Click To Tweet
But here’s the thing. It’s always been this way.
Just after the invention of the printing press, the Dutch humanist Erasmus complained, “To what corner of the world do they not fly, these swarm of new books? … [T]he very multitude of them is hurting scholarship, because it creates a glut, and even in good things satiety is most harmful.”
Can you imagine what Erasmus would say about all the talking heads in media today?
Still, that doesn’t make figuring out your content marketing strategy any easier – especially if you face expectations like those another client shared with me. His boss rationalizes their content production frequency with this logic:
“We’ll never compete if we dive a mile deep into topics. Our competitors are publishing every day. They’re the ones getting the attention.”
My gaming contact and my client’s boss share the same philosophy: More content equates to more audiences, which equates to more value.
As Luke Skywalker once said, “Impressive. Every word in that sentence was wrong.”
Why more content doesn’t always mean more value
See, despite the advancements of AI, content creation hasn’t been democratized (yet). It’s as hard to create high-quality, differentiated content today as in Erasmus’s era.
Despite #AI advancements, it’s as hard to create quality, differentiated #Content today as it ever was, says @Robert_Rose via @CMIContent. Click To Tweet
Instead, the printing press and newer digital technology democratized only the publishing and distribution of content. In 2022, with the help of technology, people produce and distribute more content faster than at any other time in history.
Artificial intelligence will continue to ease the challenge of content production and distribution. It may even intrude into the content creation stage. Imagine a day when AI can produce an article like this one – and tens of thousands of alternative versions designed to increase its performance across diverse audiences at different times.
But all this content is both signal and noise. My noise drowns out someone else’s signal, and your signal quiets someone else’s noise.
It’s not surprising that content marketers rarely create truly unique content. Your thought leadership probably echoes broader trends that originated elsewhere. Your research likely uncovers evolving trends that others have already identified.
Content marketers probably won’t create the next great piece of literature or Pulitzer Prize-winning journalism (at least not as part of their day jobs).
This is by design. As a marketer, you’re in the business of popularity. You try to show up among the most common signals without becoming noise. You want to provide signals familiar enough to tap into audience affinities to associate your brand with the views popular among your desired audience.
Put simply: Most marketers can’t afford to be the lone voice for a particular topic or stance because they’re mostly measured by how many people engage with the message.
Your mission as content creators isn’t to avoid creating noise or focus only on creating signals. No. Your mission is to make the most “right people” (i.e., those in your desired audience) care. This is the art of creating signals among noise.
Your mission in #ContentMarketing is to make the people in your desired audience care about your #content, says @Robert_Rose via @CMIContent. Click To Tweet
Aim for different, not better
So, how can you separate signal and noise, differentiate your content, and make the right people care? Entertainment media companies provide a helpful model.
Look to these three media company-tested ideas:
1. Create ‘conscious’ content experiences
A “conscious” content experience involves creators who knowingly and purposely evolve the narrative as the needs of its audience change while sticking with the core story or values.
Media companies excel at this – telling the same story over and over again within changing pop-culture contexts or through the lens of different audiences. Look at all the ways they’ve told the story of Spiderman through different eras. The simple comic books of the 1960s and the multiverse movie adaptations featuring the teenage wallcrawler tell the same core story of an awkward teenager learning the great responsibility that comes with great power. Each retelling updates the story to resonate with current audiences.
You can take a similar approach with your blog, resource center, or other publication. You don’t have to lock yourself into a fixed editorial box that focuses only on thought leadership research or how-to articles. Great publications can change their editorial focus as their audience needs or context changes over time.
Software company SAP did this during the pandemic. During the early part of 2020, the content team shifted the editorial strategy for their Future of Customer Engagement and Experience site to feature helpful information regarding the Covid outbreak. This shift in focus helped them grow their traffic and, most importantly, build a more loyal audience.
2. Focus on different, not better
Media companies understand where they want to create differentiation with content and where they won’t. They also understand they don’t have to be the best in a category – they simply have to offer an alternative. Consider the hit television show The Office. In recreating the show for the US, the producers neither tried to copy nor improve upon the UK hit show. They made something different.
Many content marketers focus on producing better research, more provocative versions of thought leadership, or bigger influencers to tell the same story as their competitors. But one of my clients, a consulting firm in the financial services space, tried something different instead.
Rather than focusing on developing deeper thought leadership or more timely advice to its financial advisor audiences, they developed a book club. The company created a community and online content resource to help financial advisors discover the best new books to read. It wasn’t better than their competition. It was different.
3. Remember that quality wins in the long run
Some argue that if you produce enough content, some of it is bound to rank high, go viral, or succeed in another way. Mathematically, this argument is probably correct.
But I find that most content teams that focus on spending more time on fewer pieces do better than those that focus on pumping out as much content as possible.
Some media companies simply spew out content as a commodity, hoping it might be a surprise hit. Others recognize that hits are exceedingly rare. Putting care and feeding into each production lets them play the same game in a different way.
Financial Services company Capital Group offers a great example. As a global organization focused on just about every topical economic issue imaginable, the content team could compete with news organizations and report on every new interest rate hike, international banking change, or a new trend in the stock market. But they don’t. Instead, they focus on producing deep, thoughtful pieces weeks or months after a particular news item has broken. Why? They imbue every piece of content with deep research and analysis so that their audience learns to pay attention to and appreciate every piece of content they produce. This philosophy built a vast and loyal following among financial advisors.
Be the right signal to the right audience
The lesson for my client and the gaming company is the same. It may make mathematical sense to use technology to pump as much commodity content as possible. But that won’t solve the signal-versus-noise challenge.
Hiding their best signals in so much of their own noise makes it harder – not easier – to attract the audience that will care about their content. A glut of even good content distracts people from extraordinary content.
Create content because you have something to offer your desired audience. To those who care, you’re the signal. To those who don’t, you’re the noise.
It’s your story. Tell it well.
Get Robert’s take on content marketing industry news in about three minutes:
Cover image by Joseph Kalinowski/Content Marketing Institute
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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