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What Most Companies Get Wrong About Content Strategy (And How To Fix It) [Rose-Colored Glasses]

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What Most Companies Get Wrong About Content Strategy (And How To Fix It) [Rose-Colored Glasses]

Author David Foster Wallace addressed the 2005 graduating class at Kenyon College with a speech that would become one of his most-read works.

In it, he told this parable:

There are these two young fish swimming along and they happen to meet an older fish swimming the other way, who nods at them and says, “Morning, boys. How’s the water?” And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes, “What the hell is water?”

The point of the story, he explained, is that “the most obvious, important realities are often the ones that are hardest to see and talk about.”

In business, content is water

Business leaders ask me all the time, “What do you mean by content?”

Let’s back up, though, and ask, “What is a business, exactly?”

Peter Drucker defined a business as “a social group that differs from other social groups in only one way: businesses must have customers.”  (This definition comes from his book Management: Tasks, Responsibilities, Practices, which is also the most Drucker-y of all Drucker titles.)

Other bits make up a business, too: products and services, a marketplace to showcase those products, and the processes and methods by which the group operates.

A business comprises one other inextricable thing (and I argue that it’s the most important):

Content.

Content is every business’s core operating system. It’s the communication between the social group and the customers it creates.

It’s the body of knowledge that describes the method by which the business operates. It’s the main ingredient of the experiences created to showcase products in the marketplace, and it’s the core to helping customers derive the most value from the product or service.

Content is everything. It’s all around us all the time. It is the water of business.

#Content is everything. It’s all around us all the time. It is the water of business, says @Robert_Rose via @CMIContent. Click To Tweet

Content strategy puts purpose behind communication

Calling content the “water of business” might sound a bit esoteric. But stay with me.

Just as the two fish in the story are so immersed in water that they struggle to see it, businesses are so immersed in content that they can’t make sense of it.

I see so many executives struggle to rationalize putting a strategy around content. Managing the entirety of a business’s content can seem unachievable. Unsurprisingly, executives don’t consider it the best use of time.

But leaders must pick and choose the elements of the business to focus on.

Some rationalize their hesitation – they say that trying to affect the water all around doesn’t make sense. That’s why one of the first questions I get when talking about content strategy is, “What do you mean by content?”

But think about the impact of an unconscious approach to content: Content gets created with little purpose and without understanding how it affects the business’s big picture.

Without a strategy, #content gets created with little understanding of how it affects the big picture, says @Robert_Rose via @CMIContent. Click To Tweet

A content strategy’s entire purpose is to improve the quality of the water.

The implication for any business’ content strategy is two-fold:

HANDPICKED RELATED CONTENT:

Content teams must lead communication

Content expresses a business’ strategy – it’s the byproduct of any one function (whether that’s
brand value, lead generation, sales enablement, customer service, or internal knowledge management initiative).

Yet, in many businesses, teams in different functions approach their content needs in a self-centered way. That’s understandable when they lack awareness of the greater context.

In that kind of environment, content practitioners are expected to respond to the needs of the “stakeholders.” Yet the content teams rarely count as stakeholders themselves. Every request is valid, and the content team acts on it.

That’s not a strategic approach.

Often, business leaders say they have a content strategy. Typically, though, they understand what the company has said – but still lack insight into what it should say.

The answer is to elevate content strategy to the level of business strategy. That means every content strategy needs a planning and prioritization step – an awareness of what the teams will create, not simply a measurement of what they created.

That feeds the second implication of a successful content strategy.

You need both quantity AND quality

Every business will always create more content. Every new customer, every new product, every new marketplace, and every new communication creates a need for more content.

A successful content strategy adds value by improving quality as it facilitates scale. The tension between improving quality and facilitating scale means you’ll never create too much content.

If content is the operating system for business, then every person – from senior executives to the frontline workers – serves as a coder for that system.

Content strategy should enable everyone to code at quality. You may prioritize some areas over others in the moment, but your mission isn’t to pick and choose which water to improve. It’s to be aware of the quality of all of it and then prioritize efforts to improve what you can.

HANDPICKED RELATED CONTENT: You Could Build a Content Strategy While ‘Flying’ It – But Here’s a Better Way [Rose-Colored Glasses]

The role of a strategic content team

Businesses don’t need the ability to create any content requested. They need a process for making deliberate choices about what content they should create.

Differentiating your brand as a “thought leader” isn’t about writing the most intelligent white papers or having the most entertaining or compelling blog. Differentiating your brand comes from having the awareness and processes to direct all of the business’ knowledge into the most meaningful communication and experiences.

To end his graduation speech, Wallace came back to the fish-in-water story:

It is about the real value of a real education, which has almost nothing to do with knowledge, and everything to do with simple awareness; awareness of what is so real and essential, so hidden in plain sight all around us, all the time, that we have to keep reminding ourselves over and over:

“This is water.”

“This is water.”

I’d translate that thought for content strategy this way:

The real value of a content strategy has almost nothing to do with the content and everything to do with the awareness of how content is essential, how it connects everything all around us that makes up the business.

To do that, we have to keep reminding ourselves over and over:

“This is content.”

“This is content.”

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

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

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

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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