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Before Deciding Where Your Content Team Reports, Pay Attention to This

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Before Deciding Where Your Content Team Reports, Pay Attention to This

When a brand creates a new content marketing or content strategy team, they often ask, “What function or department should the content team report to?”

My answer? “Yes!”

Now, I’m not trying to be a smart aleck. (Well, I am a little bit, do you even know me?) But seriously, my yes comes from years of helping implement content teams in dozens of businesses. My affirmative response indicates the most important thing isn’t to whom content reports; it’s that content teams report to the business.

When it reports into a function, such as brand, marketing, sales enablement, demand gen, PR/comms, or even (yes, really in one case) finance, the business acknowledges content marketing is a real thing with real responsibilities, power, and capabilities to affect business outcomes.

“What outcomes?” you might ask.

Well, that depends on where content marketing reports.

Now you have the real conundrum.

You can’t figure out where content marketing and content strategy should report without knowing the expected business outcomes, and you can’t know the business outcomes until you know where they’re reporting.

The most important thing isn’t to whom #content reports; it’s that content teams report to the business, says @Robert_Rose via @CMIContent. Click To Tweet

It’s tricky.

Content’s pervasiveness creates the challenge

Content as a strategic function in business affects almost everything. That pervasiveness means nearly any function in the business could “own” content as a strategy.

For example, we recently worked with a company about a year into its enterprise-wide digital transformation strategy. They have a content team, and we were to help them assemble a governance and operational approach for their website content.

When we determined the right operational processes, we got into trouble. A content team leader asked, “What if someone proposed a new AI chatbot as part of this digital transformation for the website? Is it a content project with a technology component or a technology project with a content component?”

The question isn’t semantics. Instead, the answer determines the process for development, the team owning implementation, and the measurement by which it’s deemed successful.

Knowing where a #content project is assigned determines its development process, implementation owner, and success metric, says @Robert_Rose via @CMIContent. Click To Tweet

It’s not just a technology challenge, either. The company also wanted to create new brand content guidelines for the website. Is that a content team project informed by the brand team or a brand project in consultation with the content team?

Given content’s pervasiveness, you can argue it is part of any meaningful communications initiative the business takes on. But sales’ needs are different from marketing’s, and HR’s requirements are different from the demand-gen team’s. However, to achieve consistency in content and communication, it doesn’t make sense to let each function determine its content strategy.

To achieve the balance between an enterprise-wide content strategy and the unique needs of every function in the business, the leaders and practitioners must decide to whom content reports. Again, the agreement is important, not the where or what of the agreement.

3 key attributes to identify in the decision-making process

As you and the leadership ponder how to balance the enterprise content strategy and where it should sit, consider these three key attributes that play an essential role in success.

1. Develop a content operations backbone

I don’t care if you have two people and one blog and a website or a team of 50 who operate on 35 content platforms across multiple channels. A content operations infrastructure creates consistent success across your digital content experiences. Content operations is an enterprise-recognized set of integrated and shared systems (meaning technologies), standards, guidelines, playbooks, and processes to ensure reliable, consistent, scalable, and measurable content across the business.

Content operations acts as the backbone – the foundation – to ensure the content is created, managed, activated, and measured the same way across whatever audience and whichever channel the brand presents to.

2. Connect with the audience across platforms

You can no longer expect to create one optimal experience that makes up for a bunch of sub-optimal ones.No matter your size, it’s not good enough to have your blog subscribers separate from your marketing automation database and all that separated from your CRM system. This goes for all of your audiences – from new employees to external parties such as analysts, journalists, partners, vendors, etc.

In this approach, the goal is to engage, build, and develop relationships with audiences. Thus, connecting audience behavior with insights on how to communicate better is not a siloed functional need; it is an enterprise need.

3. Build an accountability framework

This attribute in one word? Standards (and a team to keep them.) In a truly fascinating way, one of the earliest activities in building a content strategy makes the biggest impact on larger businesses: Come to terms with what words around content strategy and marketing mean. What is a campaign? What is the difference between a campaign and an initiative? What is an e-book? What is an article vs. a blog post? How long should a white paper take to write? Most businesses assume these things or create meanings based on contextual needs.

At a recent client, one group expected the content team to produce white papers within a week of the request. Another group expected them to be delivered in six weeks at double the length that the other group thought.

An accountability framework – and its ongoing evolution – presents clear ownership and coordination of content standards (roles, responsibilities, processes, types) across the enterprise. This model should not detail the definitions and standards but identify how they will enforce them.

Start your content decisions by deciding together

Where should you begin?

Well, just like in the beginning, my answer is yes. Independent of where you start, the critical point happens in the deciding of the elements. To be clear, these are institutional decisions, not simply “what you think.” In other words, it doesn’t matter what you believe the definitions, roles, or processes should be if the other parts of the organization don’t know, believe, or care.

A great first step is to create that accountability framework and make people care about its existence. At first, it might create a language of content that everybody in your business understands. When someone says, “I’d like to do a campaign,” or, “I think we should write a white paper,” everyone understands what that means and what it takes to do it. Then, the benefits of an accountability framework will start to become clear.

It makes the case for a team assigned to lead this consistency easier. And that enables the team to connect those experiences and audiences in a way that makes sense for everyone.

In the end, you have found determining the where, how, and what of a content strategy implementation isn’t the most important. The act of deciding is.

It’s a strange combination. In isolation, the reason for deciding seems straightforward. So why wouldn’t anybody want a clear definition of what a campaign is or a single source of the truth when it comes to the tone of your content?

But stacked together, those decisions feel like they are bigger than the content team and really should involve the entire enterprise. (Spoiler alert: They do.)

If you want any desired consequence, you had better decide on all the things that would help create 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. 

HANDPICKED RELATED CONTENT:

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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