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The Key to Sales Enablement? Teach Your Storytellers Well

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The Key to Sales Enablement? Teach Your Storytellers Well

A poor storyteller can kill a great story.

Think of all those great novels that turn into awful movies. Or, that amazing presentation you put together for the CEO who butchered it.

I recently watched a CEO on stage throw his staff under the bus because he didn’t understand the presentation. He started skipping slides and making stuff up. I felt all the feels for the poor team that put in so much work – only to watch it get botched.

A story’s success relies as much on the storyteller as it does on the elements of the story. Sometimes, even more.

For example, I just finished the first season of House of the Dragon. No spoilers ahead, I promise. But here’s the interesting thing: The audience already knows the ending.

House of the Dragon is based on George R.R. Martin’s book Fire and Blood, a companion to A Song of Ice and Fire, also known as the novels that formed the basis of HBO’s Game of Thrones.

Chronologically, Fire and Blood is set some 100 years before the story Game of Thrones. So, Game of Thrones fans have a pretty good idea of how House of the Dragon ends even if they didn’t read the book.

That knowledge puts added pressure on the storyteller, who must find a way to keep the audience interested along the way to that inevitable ending.

A story’s success relies as much on the storyteller as it does on the elements of the story, if not more, says @Robert_Rose via @CMIContent. Click To Tweet

Telling known stories in sales

In sales-enablement content, the audience almost always knows the ending. Every time a sales rep calls, emails, or relays some valuable piece of content, the audience assumes they know how that story is going to end:

  • When the content covers an industry challenge, the audience assumes the ending will involve a recommendation that benefits the salesperson’s company.
  • With content about a new solution, the audience assumes the content will end with an explanation of why the solution is right for them.
  • With customer case studies, the audience assumes the story will end with how well everything turned out for the featured customer.

And they’re right. That’s how all those content pieces will end.

Talk about storytelling pressure.

In sales-enablement #content, the audience almost always knows the ending. That puts a lot of pressure on the storyteller, says @Robert_Rose via @CMIContent. Click To Tweet

How story-storyteller misalignment unites (and divides) sales and marketing

In the latest B2B Benchmarks, Budgets, and Trends research, marketers say their top two challenges are “creating content that appeals to different stages of the buyer’s journey” and “aligning content efforts across sales and marketing.”

I can tell you from my experience with clients that sales teams share those top two challenges. But their frustration isn’t that the content or alignment doesn’t exist. They can’t find the content or figure out how to deliver it to the customer in a helpful way.

On the other hand, marketing professionals think the challenge lies in getting the sales team to use the most current and relevant assets.

Both teams struggle to align the story with the storyteller.

To solve the alignment challenge, content marketing teams must help sales teams become more knowledgeable about and proficient at delivering the most relevant, up-to-date content. Sales teams must agree to participate in training and to use available mechanisms to help them deliver content.

To put it simply: Great content marketing teams create both thought leadership and enablement content that helps sales teams become thought leaders themselves.

Is this training content? Yes.

Is this metadata? Yes.

Are these scripts? Yes.

But more than any of these content types, high-performing organizations need an ongoing process powered by collaborative technology to transform salespeople into powerful storytellers who can deliver a compelling narrative.

The process required involves creating and activating content about the content. It is a functional effort to create thought leadership or marketing materials and portfolios of insight (e.g., a talk track, scripts, deeper meaning behind the numbers, or even instructions on how to talk about the pieces) that enable more intelligent (and compelling) distribution of ideas.

#ContentMarketing teams must create both thought leadership and enablement content to help sales teams become thought leaders, says @Robert_Rose via @CMIContent. Click To Tweet

HANDPICKED RELATED CONTENT:

Storyteller enablement

Many people think of sales enablement content as high-quality content that helps the sales process. So, marketing teams create high-quality, impactful content and make it available to sales teams to distribute when customers or prospects ask for it.

Is it any wonder that modern buyers feel frustrated with sales teams? If a buyer’s conversation features a sales rep offering up a menu of content or asking, “Can I send you some more information?” the conversation is unlikely to end as well as it could. But if the dialogue between the sales rep and the potential customer is consultative, insightful, and helps the customer move their process to purchase along, then successful outcomes are much more likely.

A better form of sales enablement involves teaching salespeople to become high-quality storytellers.

You can begin to do this using three core approaches:

  1. This might be an ongoing lunch-and-learn series with sales teams or an on-demand set of “classes” on the insightful messaging at each step. Put simply: Get your team and the sales team sharp about the value you need to deliver at each stage of the buyer’s journey.
  2. Change the nature of the content to enable the customer at each relevant stage. Create a natural exploration journey that goes deeper at each step. In other words, create a progression from “why you should change” to “how you change” and ultimately to “let us help you change.”
  3. Create ongoing educational assets for every significant piece of content that feeds the sales-enablement process. For example, make sure your content development includes not only a white paper or ebook but also a sales primer on how that ebook (or the major takeaways) should be presented. This step helps the sales team improve their ability to tell the stories you create.

Ultimately, these approaches can become ingrained into the marketing and sales process. And they can provide a feedback loop, too.

As sales teams tell compelling stories, they transform from a simple distribution channel to an insightful listening post. They can feed what they hear in these conversations back to the marketing team so it can develop better content.

When salespeople learn to tell better storytellers, customers may be surprised and delighted even when they know how the story will end. A compelling story well told will show them how their futures can be much better for taking part in it.

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. 

 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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