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Should Your Content Team Play to Its Strengths or Fix Its Weaknesses?

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Should Your Content Team Play to Its Strengths or Fix Its Weaknesses?

Do you know your own strength? What about your weaknesses?

One business management and leadership theory suggests that people and teams will achieve more success by building on their strengths than by trying to fix their weaknesses.

The theory doesn’t mean you should ignore weaknesses. Instead, it suggests you should invest deeply in talents and strengths and minimize the effects of any weaknesses. (You can read more about it in the book Strengths Based Leadership, based on the Gallup organization’s 30-year research project.

I’m all in on this idea. I’ve seen this idea work for content teams that achieve success over the long term. But the choice isn’t always clear.

Should #ContentMarketing teams double down on their strengths? Or try to fix their weaknesses? It’s not an easy choice, says @Robert_Rose via @CMIContent. Click To Tweet

Strengths vs. weaknesses

A new content marketing strategy brings people together under new charters, with new processes, responsibilities, and technologies. People call this process of getting everyone ready for the new situation “change management.”

But, if we’re honest, it’s really “new management.” None of this stuff has been done before.

One of the first things I recommend to clients in this situation is to do a skills audit. A skills audit finds areas of strength as well as gaps where additional training, outsourcing, or new hires might be needed.

I’ve seen many companies make the same mistake after the skills audit: They double down on shoring up perceived (or actual) weaknesses.

But that approach immediately builds a steep mountain to climb. Content teams grappling with all the “new” may feel demoralized if they have to hire and train new in-house or outsourced staff at the same time.

Yet many experts argue that focusing solely on strengths has its pitfalls. Several years ago, a Harvard Business Review podcast suggested that “so many weaknesses are overdeveloped strengths.”

For example, amplifying a politically astute team leader’s strengths can create a manipulative boss. Focusing on the speed or creativity of the in-house design team can lead to a team that’s overworked and considered idiosyncratic in their approach or out of touch with business realities.

Deciding whether to focus on the strengths or weaknesses uncovered in a skills audit reminds me of the aphorism usually attributed to statistician George Box: “All models are wrong, but some are useful.”

There are no easy answers.

Which strengths and which weaknesses matter more

In a way, it’s a false choice. Understanding which strengths and weaknesses matter the most tends to produce the best results. You can’t assess which strengths or weaknesses to focus on until you understand which strengths and weaknesses affect your operation’s chance of success the most.

For example, companies building content teams often ask me, “Should we hire subject matter experts with deep knowledge about our services and industry or great writers who can learn our business over time?”

The answer to that question is yes.

Should #Content teams hire SMEs who know the industry or great writers who can learn? Yes, says @Robert Rose via @CMIContent. Click To Tweet

Both approaches are equally important – until you figure out which will impact the team’s objectives more. Once you decide which is more important, you can focus on enhancing the strengths of the approach you’ve chosen.

I’ve seen this first-hand in two situations.

The first involved a new content team at a large Fortune 100 company. After conducting a skills audit, they identified their strengths: creativity and journalistic storytelling. They also uncovered some perceived weaknesses: sales-enablement content and marketing measurement.

As a new team, they also understood that the business placed a high value on the ability to feed great content to sales and provide analytics to show the content’s effectiveness. A key piece of the team’s business case was centralizing content and making it an internal strength. So, their impulse was to shore up their sales content and analytics weaknesses.

To do so, the content team took over these areas from their outsourced agency. They were sure they could “figure it out.”

But they didn’t. And the team’s reputation as a strong editorial team also took a hit as they tried to balance their strengths with the lack of marketing and analytical ability. When the business pivoted, they let the editorial team go. They weren’t considered capable of taking on the necessary marketing analytics.

Would they have survived if they’d let the agency handle their weak areas and continued to excel at editorial or built a phased partnership with the agency to address the skills needed for sales enablement and measurement?

I suspect so.

In the second situation, a technology company I work with had been growing and molding its content team for a few years. They maintain an acute awareness of their team’s strengths and weaknesses. More importantly, the team leader has created transparency and understanding of their ongoing balance throughout the business.

At first, they focused on highlighting their strengths as a content marketing team (creativity, industry thought leadership, and structuring content for translation and reuse). They didn’t initially take on sales-oriented content – they left it to the demand generation team.

Eventually, they partnered with the demand-gen team, which continued to create great marketing content. The content team helped them develop standards and playbooks to facilitate translation and repackaging for multiple channels.

Years in, this model works very well for them.

It’s a subtle but critical difference. The first team thought its job was to excel at content, and it focused on fixing the team’s weaknesses to make that a reality. The second team realized its job was to make the business good at content, and it focused on its strengths to make that a reality.

The usefulness of any content skills audit lies in the ability to align the team’s core strengths to the priorities and skills of the business.

Over time, if you can keep this awareness, your team’s weaknesses can become its greatest strength.

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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