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State of Content Marketing in 2023

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State of Content Marketing in 2023

I just pressed send on the manuscript for my book to be released in September. It’s called Content Marketing Strategy (snappy, eh?), and Kogan Page will publish it.

Last week, marketing professor Philip Kotler wrote the foreword. I won’t spoil it, but he mentioned the need for a strategic approach to owned media.

He writes, “(T)he company doesn’t carry an account of showing these marketing assets and their value. As a result, the company cannot show the CEO and company board members a return on owned assets or content.”

Luckily, my upcoming book shows exactly how to do that. Funny how that works out.

In any event, all this struck me that now is an opportune time to look at where the beloved practice of content marketing stands today.

First, let’s go back to 1999 when Kotler published Kotler On Marketing, one of his more than 70 books. The latter 1990s – a time of tumultuous change – fueled most of the thinking for the book. But he knew that it was merely the beginning.

Kotler concluded the book with a section called “Transformational Marketing.”  In the next decade, he wrote, “marketing will be re-engineered from A to Z. Marketing will need to rethink fundamentally the processes by which they identify, communicate, and deliver customer value.”

Well, it’s taken over two decades, but it’s finally happening.

Consumers have changed, but marketing operations are just starting to

In case you didn’t notice, almost every marketing conference these days starts with the same four or five requisite slides:

  • Digital technologies, such as search and social media, empower consumers today.
  • Consumers research, engage, buy, and stay loyal to brands in ways that have fundamentally changed.
  • First-party data and privacy are of the utmost importance.
  • Artificial intelligence begins to threaten the idea of the usefulness of search and pressure companies to deliver better and more personalized experiences.

You get it. Consumer expectations in the age of the social, mobile, and AI-driven web are different than they were.

However, the continuing challenge in 2023 is that content and/or marketing operations in enterprise companies are only beginning to evolve. Most marketing departments have remained as they were when Kotler wrote his book — they still work from mid- to late-20th century hierarchies, strategies, and processes.

Most marketing departments still work with mid- to late-20th-century hierarchies, strategies, and processes, says @Robert_Rose via @CMIContent. Click To Tweet

Content marketing isn’t new, but a content marketing strategy is

For hundreds of years, businesses have used content to affect some kind of profitable outcome. But the reality is this: Whether it was John Deere’s The Furrow from the 1800s, Michelin’s guide to car maintenance in the early 1900s, or even Hasbro’s GI-Joe partnership with Marvel in the 1980s, content was not — and is not for the most part now — a scalable, repeatable practice within the function of marketing. In short, companies almost always treat content marketing as a project, not a process.

That fundamental change will finally take hold in 2023. It could happen because of the digital disruption and ease by which you can now publish and distribute content to aggregate your own audiences. It could happen through the natural evolution that the ultimate outcome – more than the marketing – matters more.

As we roll through 2023 and beyond, content — and the exponentially increasing quantities of it produced by every organization — deeply affects not just your marketing strategy, but your business strategy. Content in marketing is now bigger than simply content marketing, and it should be dealt with as a component of that business strategy throughout the enterprise.

#Content in marketing is bigger than #ContentMarketing. Treat it as a component of the business strategy, says @Robert_Rose via @CMIContent. Click To Tweet

In 2023, the No. 1 focus of my consulting and advisory practice these days: help companies transform content into a repeatable, scalable, and measurable function that drives value through a multi-channel strategy. It’s bigger than publishing a blog, creating a lead-generating resource center, or sending an email newsletter. Today’s content marketing team is being absorbed into marketing because marketing and its various operations are fundamentally transforming into a content-producing machine.

It is not good enough to produce content “like a media company would.” The goal must be to operate as a media company does. Your job is not to change content to fit new marketing goals. Rather, your job in 2023 is to change marketing to fit the new business content goals.

Your job in 2023 is to change #marketing to fit the new business #content goals, says @Robert_Rose via @CMIContent. Click To Tweet

The unaware builds a case for the aware

The term “content marketing” continues to evolve. Even today, I run across those who still call it “brand publishing,” “custom content,” or “inbound marketing.”

My take matches with what Kotler described in 1999. I always thought the term “content marketing” would become part of “marketing” more broadly. In 2023, that happened. So, returning to the lexiconic debates of 2013, 2014, or 2015 doesn’t seem terribly productive. Content marketing is just good marketing, and marketing is just good content marketing.

That said, two kinds of companies do well at the broader view of content marketing. Some of them, such as Cleveland Clinic, Red Bull, Arrow Electronics, HubSpot, and REI, have purposely devised content marketing strategies as differentiating approaches to their marketing. They are succeeding.

Others, like Amazon, Microsoft, JPMorgan Chase, and Peloton, backed into a smart content marketing strategy. But executives at those companies probably don’t recognize it as such. If asked (and some have been), they would say acquiring or launching a media company operation was just a smart business strategy to diversify their ability to reach their consumers consistently.

They’re right, of course. Many have yet to read books about content marketing, been influenced by the Content Marketing Institute, or even recognize content marketing as a separate approach (as far as I know). And they are also succeeding.

Consider this proof: As I write this article, six companies have a market capitalization of more than $1 trillion. Four of the six wholly or partially use the business model of media creation to further marketing and business strategies. Apple, Microsoft, Alphabet, and Amazon are all, in part, media companies that also sell products and services.

Why would you not avail yourself of that same model?

The future looks cloudy and bright

As for the overall state of enterprise content marketing, it’s in transition, as all marketing is. As a focused project-based approach, working in ad-hoc ways across a business, content marketing appears to have proven its worth. Hundreds of entries every year to the Content Marketing Awards feature myriad case studies using content marketing techniques in strategic ways to profitably affect business results.

And yet, it remains to be seen whether you can make content marketing a scalable, repeatable, measurable function within marketing.

As to what the discipline’s future holds? At last year’s Content Marketing World, one of my favorite events, the Executive Forum gathered senior leaders from brands succeeding with content marketing. As we talked about the future, one participant said: “The only certainty is change. I can’t tell you where or when, but I do know there will be change, and this is the principle we build on now.”

As for my take, Kotler’s idea of transforming the marketing function seems to have gotten lost along the digital road traveled by marketers. In so many cases, marketing – and especially content – remains just an on-demand service function within the business. Its sole job is to produce ever more voluminous amounts of content that describe the value of the brand (or its products or services) so that sales can sell more efficiently, customer support can serve more effectively, and all manner of customer interfaces are more beneficial to both sides.

However, and maybe because I need to rationalize now that my book is finished, I passionately believe it’s finally time for marketing to reclaim its ability to create value — not just reflect it in the polished shine of your traditional products and services.

Almost 27 years ago today, Microsoft founder Bill Gates wrote an essay called Content is King. In it, he said that “(C)ontent is where I expect much of the real money will be made on the Internet, just as it was in broadcasting.”

It certainly was one of his more prescient moments. Nearly three decades later, his words have proven true. The essay title has become the rallying cry for thousands and thousands of entrepreneurs who now make their living on creating, managing, optimizing, and measuring content on the internet. (A Google search for “content is king” nets more than 1.7 million results.)

But it’s the last line of his essay that I find the most visionary: “(T)hose who succeed will propel the Internet forward as a marketplace of ideas, experiences, and products – a marketplace of content.”

That’s what content marketing is for me in 2023. It’s just marketing – optimizing the value of ideas, experiences, and products in a marketplace of content.

Time to get to work.

It’s your story. Tell it well.

Get Robert’s take on content marketing industry news in just five minutes:

https://www.youtube.com/watch?v=videoseries

Watch previous episodes or read the lightly edited transcripts.

Subscribe to workday or weekly CMI emails to get Rose-Colored Glasses in your inbox each week. 

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Cover image by Joseph Kalinowski/Content Marketing Institute



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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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