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Why ‘Let’s Make a Movie’ Is a Terrible Way to Plan Content

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Why ‘Let’s Make a Movie’ Is a Terrible Way to Plan Content

Do you find yourself planning the form before you develop the idea for content?

Most of us do – it’s the way we consume content. When you feel inspired by a video or podcast, for example, your brain will start trying to come up with an idea to use in a movie or podcast.

It makes sense. You see an excellent, creative idea expressed in some form factor, and you think, “That’s what I want to create.”  But it’s the container (the experience) you want to emulate. You still have to come up with a unique idea for that form factor.

It’s normal to create this way.

Think about it. Did George Lucas dream up a story about a young boy on a desert planet who reunites with his separated-at-birth twin sister to save the galaxy from an evil empire and then decide his story would work best as a movie?

No. Inspired by the television and movie versions of Flash Gordon and Buck Rogers, he decided to make a movie. The story for Star Wars came next.

Starting with the medium makes sense for filmmakers, TV show creators, novelists, and others. But it doesn’t work well for marketing.

Container-first planning doesn’t work in marketing

Starting with the content form factor can cause a heap of trouble in marketing for two reasons.

First, marketing content isn’t an endpoint – it’s a bridge to an endpoint. In other words, you aren’t trying to optimize for the end experience. Instead, you’re optimizing to find the people who want the end experience: our product or service.

Think about it this way: People want to watch Star Wars. They don’t necessarily want to find your marketing content. So conveying one story or idea in multiple containers gives you a better chance to find an audience. You’re telling the story everywhere the audience is rather than trying to lure them to one piece on one channel.

People aren’t seeking out your marketing #content, so put it wherever they are, says @Robert_Rose via @CMIContent. Click To Tweet

There’s another reason to avoid starting with the container rather than the idea. Organizations need to express a lot of ideas. Some are small, and some are big. If you plan the container first, you might end up putting small ideas into big containers and vice versa.

How many times have you seen full white papers dedicated to a too-small idea? On the other hand, I’ve seen many ideas that should have been integrated brand campaigns crammed into a single blog post. Why? Because someone thought, “We need a blog post about this,” and never considered whether it could turn into more.

How to separate content ideas from expression

Remember: People will consume the designed expression of your content ideas (your website, blog, video, e-book, social media post, etc.). But the idea conveyed in that expression will differentiate your work and determine whether your content strategy succeeds.

Star Wars wasn’t a hit because it was a movie. It succeeded because it was a great story well told.

I’ve written about how planning and governance can help you prioritize content projects. Adding a step can help you make sure your ideas end up in as many (or few) containers as you’ll need to find your audience.

Most of the content and marketing teams I know of use a content intake form that starts with the question, “What kind of content do you want?” A drop-down menu offers a selection of formats (video, infographic, white paper, web page, blog post, etc.)

Questions about the content for that format, the audience, the journey stage, and so on always come later. The process goes from request to asset creation.

That’s where the additional step should come in. The story or idea creation should be a step of its own – separate from the design and production process.

Plan your #content story first – then decide what formats to tell it in, says @Robert_Rose via @CMIContent. Click To Tweet

The process I recommend looks like this:

Create the story

Start by finding or hashing out the compelling story (within the content team or as a cross-functional effort). Do the research, outline the story, and decide how big the idea is.

Then, write the story. Create the world, the challenges, and the solutions. This is the raw content that could (or should) live in any expression of the idea.

Then – and only then, move on to the next step.

Design the experience(s)

Decide all the different kinds of packages this story can live in. Does it work as a video? Does it work as a white paper? Does it work as a blog post?  Does it work as a print ad? Could it work as all of those things?

You don’t have to execute all experiences at once. But taking the time to create the raw content elements at the beginning of the process lets you quickly create those things when you’re ready.

I follow this same two-step process when I create content. I plan the story and write these raw elements first:

  • Content elements (a draft of this column)
  • A bullet point version I can use on a podcast
  • Different paragraphs and versions to feature on The Content Advisory website
  • Focused messaging points I can use to turn this into a presentation (or class or keynote)
  • All the links and research I used to create this article (if any)

I file all this material away and use it as I need it. If I need to create a presentation – I can look back to this document and see which of my ideas are big enough. I already have a good start on the content I need to create it.

This approach isn’t appropriate for everything. Sometimes an ad is just an ad, a video is just a video, and an email is just an email.

But for big ideas (especially those that impact the larger organization), start thinking about creating the raw content for your compelling story before you decide how to design and produce all the experiences that will convey it.

That way, you can make sure your great big ideas won’t get trapped in too-small containers.

It’s your story. Tell it well.

Get Robert’s take on content marketing industry news in five minutes or less

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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