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How To Create Blockbuster B2B Stories That Sell [Rose-Colored Glasses]

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How To Create Blockbuster B2B Stories That Sell [Rose-Colored Glasses]

How many times have you heard advice on becoming a great storyteller?

And how many times have you wished that advice translated more easily to content marketing?

You’re not alone. I often get questions about how to transform marketing content into great stories.

Earlier this week, I talked with a team of content marketers who feel passionate about creating engaging content marketing for the medical device company where they work.

But they told me that they struggle to create compelling customer stories that include the details their product marketing colleagues request. The product team routinely sends four-slide decks filled with product features and technical specifications they want to see in the content.

The unspoken secondary part of their request: Make it exciting.

I told the content team they need a “pope in the pool.”

Read that sentence again to make sure you didn’t misunderstand – you need a pope in the pool.

Try the pope-in-the-pool #storytelling technique when you need to create #content that includes product features but doesn’t bore your audience, says @Robert_Rose via @CMIContent. Click To Tweet

The content exposition problem

Storytellers often need to relay specific details to help people understand what’s going on. This exposition (if handled poorly) risks boring the audience and causing them to tune out or skip ahead.

For example, consider what happens when Clark Kent meets his father, Jor-El, in Man of Steel. Jor-El launches into a nearly five-minute speech filled with information Clark doesn’t need at that moment. The writers use the speech to (theoretically) help the audience understand Superman’s background, the history of his home planet, and the motivations of the story’s central villain. It’s all relevant. But the way it’s relayed makes it dull.

Another kind of exposition no-no happens in the movie Big Hero 6. During an argument between two siblings, one yells, “What would mom and dad say?”  The other answers, “I don’t know! They died when I was 3, remember?”

Oof. Is the storyteller suggesting that the other character doesn’t remember that their parents died? That’s poor exposition because it asks characters to spout information that other characters already know, causing the audience to question the story.

Poor exposition causes audiences to question your story, says @Robert_Rose via @CMIContent. #Storytelling Click To Tweet

What it means to put a pope in the pool

In his book on writing, Save the Cat, Blake Snyder describes the “pope in the pool” technique, which takes its name from a scene in a script called The Plot To Kill the Pope. Snyder admired the writer’s choice to have the pope’s staff convey information to him (and the audience) as he swims laps in a pool.

The scene exploits the dissonance between how people expect to see a pope (on a balcony in ceremonial garb) and how the movie shows the pope (in a pool wearing a bathing suit). The audience feels intrigued enough not to mind the stream of facts and background information.

Steven Spielberg uses this technique brilliantly in Jurassic Park, a movie that requires the audience to understand some details of DNA replication. The director could have shown the characters staring at a dinosaur egg while one of the scientists in the park explained how DNA replication occurs. But some of the characters are experts who already understand the concepts. So that kind of scene would have insulted the audience’s and the characters’ intelligence (and probably bored them, too).

Instead, Spielberg pulls a great storyteller move. He shows the expert characters testing one of the rides (built for kids) in which an animated creature explains DNA replication. The experts bicker and fidget with the ride and make fun of the information. The scene sets these characters up as true experts and creates an entertaining and informative experience.

Can you put the pope in B2B content?

I use the pope-in-the-pool technique in my presentations whenever I need to deliver a litany of research results. Wrapping the research findings into entertaining anecdotes or side stories helps the audience absorb the data while the stories keep their interest (I hope).

Wrapping data into entertaining anecdotes helps you keep audience attention while they absorb the details, says @Robert_Rose via @CMIContent. #Storytelling Click To Tweet

And I teach my clients to do it, too.

My clients at the medical device company had a compelling story to work with. An ex-army veteran (who is now CIO) developed the company’s portable refrigeration unit.

But the content team struggled to develop a way to insert technical information without taking the reader out of the story.

The typical approach to a customer story would get weighed down by details in exposition like this:

While working in a previous role, Sam Smith, CIO for ABC Company, sought refrigeration devices that could withstand extreme environments. The technical specs he wanted were:

  • Ability to withstand temperatures from -4 to 120 Degrees Fahrenheit
  • 48-hour temperature duration using only internal batteries (no ice required)
  • Safety alarms to indicate deviation in temperature

Our brand ultimately provided Sam with a refrigeration device he could depend on.

Instead, rather than use bullet points and a laundry list of specs, the content team could reveal exposition like this:

During his 11 months as an active medic in California, Sam Smith heard the state’s residents brag that it’s possible to ski at breakfast and surf at lunchtime. He never believed it – until the day he was asked to transport vital organs from a snowy mountaintop to the middle of the Mojave Desert. The temperature outside hovered near zero when he loaded the precious cargo into the refrigerated unit. By the time he arrived at the destination just a few hours later, the outdoor temp had hit 118 degrees. Despite the lack of skis or a surfboard, Sam finally understood the Californians’ claim. But even more impressive than the state’s varied climates? Not one safety alarm on the refrigerator unit sounded during the journey. Despite the dramatic swing in outdoor temperature, the interior temp didn’t shift more than 2.5 degrees.

Make the technique work in your content

The details of the stories you tell will vary. But you can steal the idea of wrapping information in an engaging, contextual element of the story.

Admittedly, it’s easier to throw your pope into the pool when you have an evocative story from the start. The medical device team had the CIO’s anecdote about his time in California. But what if they hadn’t?

That’s where imagination comes in. The next time you need to convey brand or product information, imagine adding something unique. Draw from a character’s history. Create a fun distraction for characters in the story (think Selena Gomez explaining synthesized collateralized debt obligation was using the game of Blackjack as a metaphor in the movie The Big Short).

You may not get to control what information must go into a particular story you’re telling. But you can control the way it goes in. Just remember, information doesn’t make a story memorable. The feeling the story evokes makes information memorable.

HANDPICKED RELATED 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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