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Get Common First If You Want To Develop a Great Content Strategy [Rose-Colored Glasses]

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Get Common First If You Want To Develop a Great Content Strategy [Rose-Colored Glasses]

How much did you spend on content last year? How much should you spend on content this year?

You can’t know.

Outside of the most abstract of estimates, you can’t know the answers to both questions.

As I’ve shared, “content” is a big word. I describe it as the operating system of a business and the water you swim in. It’s everything that encompasses communication.

So when someone asks you, “How much did we spend on content,” they’re really asking, “How much money did we spend communicating?” You can argue the answer is “everything in the company’s total budget.”

Now, I get it. That explanation of communication expenses is clearly hyperbole. My point is this: You can’t ever know how much your company spent on the entirety of “content.” Further, you have no way to predict how much you will ever spend because the answer is always “more.”

Knowing the answer to the total content expense question isn’t anything other than trivial. Ironically, that very conundrum makes a content strategy important to your business.

Defining your content strategy

I worked with a global technology company last month. During the stakeholder interviews with both practitioners and senior leadership, we talked through their perspectives on how content could be more strategic in the business.

The head of marketing had a common comment and question: “I don’t think our business has a good handle on what we mean by content. For some, it means every headline, email, and social post. For others, it only means the long-form white papers, brochures, e-books, and videos we do … How is it even possible to get our arms around all of that?”

You won’t. You can’t. And you don’t have to.

Let me borrow from author and Harvard Business School professor Michael Porter who says in business, “the essence of strategy is choosing what not to do.” The essence of any great content strategy is choosing what NOT to manage and measure.

The essence of a great #ContentStrategy is choosing what NOT to manage and measure, says @Robert_Rose via @CMIContent. Click To Tweet

Given the scope of content in the business, it is inevitable that you will make tradeoffs. Otherwise, you wouldn’t need a strategy because you could do everything.

A great content strategy creates a clear link between the actions people take based on a business’ well-defined set of content and the financial results of those actions. It is simply a choice.

Making the choice yours

My first and most important message for the head of marketing was that they must define “content.” That definition helps frame the necessary actions to put a strategy around it. Then and only then can you make choices about further actions or new areas of content to build into your strategy.

This exercise helps you define the content and informs what you’re not going to address in the initial strategy.

Step 1: Define content types

We worked with one company that saved $500,000 a year by having a common definition of an e-book. Previously, one global region defined an e-book as a 50-page, designed thought leadership piece produced as a PDF. Another region used that definition for a research report. A product group budgeted for an e-book as an interactive HTML-driven digital experience, but other groups called that a microsite. Still, another defined an e-book as a three-page article with an infographic. Others called that a market outlook. Those wide-ranging definitions meant they required a wide-ranging amount of work. You can see e-book development would lead to dramatic budget differences across regions and groups.

A company saved $500,000 a year by having a common definition of an e-book, says @Robert_Rose via @CMIContent. Click To Tweet

Take the time to define your content types and formats. What is a white paper? What is an e-book? What is a blog post vs. an article? What is a campaign vs. an initiative vs. a theme? Whether you are a marketing department of one who reports to the CEO or have 85 people in a global, cross-functional group of teams, you must ensure everybody across marketing and communications uses a common definition for each content type.

Step 2: Identify content purposes

You can’t put a strategy around a content format, so this step focuses on your content’s purpose. I call it the content class stack.

I strongly encourage you to see these as “content classes” based on business purposes (e.g., thought leadership vs. advertising) rather than content formats (e.g., text vs. video). Sort them by priority – content that changes often and/or has a high level of velocity behind it should be at the top. The goal is to create clarity for your major content classes, not identify every single thing created.

Common definitions of #content formats and classes are necessary to build a successful #ContentStrategy, says @Robert_Rose. Click To Tweet

Though your content stack will be unique, this visualized generic example may help in understanding. It starts at the bottom with a content class of data and then moves up to application-level content (account information, internal instructions, etc.), followed by client-customer-level content (client services, training, emails, invoices, onboarding). Then it moves to product-level content, sales content, and standard marketing content (campaigns, web copy, events). Premium content marketing (presentations, blog posts, infographics, white papers, etc.), PR/comms content (press releases, news analyst relations), and social content round out the content classes.

Content Classes (The Content Stack)

Working from the content class priority list, you can begin to define the scope of the first iteration of the content strategy, the second phase, and so on.

Where do you start

The tech company’s head of marketing had one more question: “What is the best practice for where to start?”

I replied, “Yes.”

In other words, make a conscious choice about what is most important to your brand, not which or how many content classes to tackle first.

Only after you have agreement and a business-level decision on what you are and are not going to put a strategy around can you plot the responsibilities for creation, management, flow, and measurement.

With all that in place, next year, when you hear, “How much did we spend on content last year?” You will have a better and more useful answer because everybody knows the choices that were made.

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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