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For a Better Long-Term Content Strategy, Find a Purple Audience

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For a Better Long-Term Content Strategy, Find a Purple Audience

“The stock market is not the economy.”

When the stock market is up, it doesn’t always follow that the economy is great. When the stock market crashes, it doesn’t always mean the economy is bad.

That’s as true today as it was 25 years ago when I first got into marketing. And it’s a great reminder to avoid basing business decisions on faulty connections.

Over the years, I’ve learned an adjacent lesson about content and audiences: Popularity isn’t a sign of differentiation. People don’t necessarily regard what is popular among online audiences or the media as high quality – or even true.

If you successfully chase trends and feed popular content to audiences, you have not necessarily differentiated your content. On the other hand, differentiating by taking a contrarian or highly niche view of what’s popular doesn’t always work either. How do you blend popularity and differentiation?

#Content popularity isn’t a sign of differentiation, says @Robert_Rose via @CMIContent. Click To Tweet

Red and blue ocean strategies

In their 2004 book, Blue Ocean Strategy, W. Chan Kim and Renee Mauborgne explain red and blue ocean strategies for marketing. Red oceans are crowded markets where popular products abound and cutthroat sales and marketing strategies rule. Blue oceans are undiscovered markets with little or no competition, where businesses can create new customers or die alone.

In strategic content marketing, most businesses focus on the red oceans – offering short-term, hyper-focus feeding. They look to drive traffic, engagement, and conversions by getting the most people to consume the content. So a red-ocean strategy focuses on topics and content that have proven popular with audiences.

But this strategy makes it difficult to differentiate the content from everyone else’s.

This myopic view of content often prohibits testing the other side – investing in a blue-ocean mindset to find and create new audiences with less-popular content.

Short-term, hyper-focused #Content feeding often prohibits the mindset of creating new audiences, says @Robert_Rose via @CMIContent. Click To Tweet

Finding a blue niche in a red world

I recently worked with a financial technology company that provides short-term loans to small businesses experiencing a cash-flow crunch. It’s as sales-driven as any team I’ve seen.

When they started, they put much of their marketing and content efforts into a blue-ocean strategy, targeting small businesses that will need a loan within a month.

Here’s where it gets interesting.

Five years ago, this company wasn’t the only one to recognize the massive opportunity in fast, easily accessible, short-term lending. A red ocean of new customers who needed these loans grew in a relatively robust economy (and historically low interest rates).

The value of these loans grew from $121 million in 2013 to just over $2 billion in 2018. And competition for this audience’s attention grew, too. As short-term, low-funnel content on accessible lending saturated the market, this strategy became less and less successful because so many fintech companies pursued it.

My client’s team knew they couldn’t only count on this red-ocean audience for new business. They recognized the need to invest time in building a new audience – larger, more established, long-term borrowers.

This audience wouldn’t produce immediate lead generation. But the company wanted to diversify its product line and better support the new audience’s loan-related needs.

The genius of this strategy was teaching, targeting, and building demand for new ideas from a niche within the red audience. Put simply: They created a purple audience by targeting a blue audience within the red one.

The blue audience the team targeted consisted of fast-growing smaller businesses that would soon evolve into established, long-term borrowers. These businesses might want to know the benefits of the short-term availability of cash. The team focused the new learning content platform on teaching companies that don’t need a loan now about the benefits of having a solution at the ready when they do.

The purple audiences took time to develop. But when those audience members entered the red ocean, my client company stayed top of mind because it had bucked the popular trends and offered completely different content.

3 triggers for targeting purple audiences

Deciding to invest in cultivating a purple audience requires some thought. These three considerations can prompt the move to a different audience hue.

1. You’re ready to hedge bets on current efforts

So many companies double down on their content to the point where their strategy incorporates the same content at every stage of the customer’s journey. Why? Because everybody is talking about it.

I see some B2B marketing organizations deliver the same “why change” thought leadership content to prospects as they do their customers. Shouldn’t your customers’ needs and wants change after they purchase your solution?

Developing thought leadership you believe is important but current audiences aren’t yet thinking about can be an excellent hedge.

You shouldn’t deliver the same thought leadership to prospects AND customers. After all, your customers’ needs and wants should change after they buy.

2. You believe the consensus is wrong

Many companies fold their content marketing like a lawn chair because their content goes against the consensus. Last week, a chief marketing officer told me, “Our CEO says we can’t go out with that thought leadership message because people will disagree with us.”

You don’t have to invest the entire budget in a contrarian idea. But if you genuinely believe the world will eventually come to your point of view, build the content infrastructure that supports that opinion and experience a multiplier on the investment.

3. You see an opportunity to steal audience

Look at the most popular content, and you see all your competitors fighting over the eyeballs seeking that topic, trying to outrank everyone on search, and fighting a red ocean of potential audience members. Then, look up and ask, “What’s next?”

You might see a slight trend. Or, as my fintech client did, you may notice a niche blue audience in the red audience. Investing in that content can pull audiences from the popular content into your fledgling purple audience.

SAP’s content site The Future of Customer Engagement and Experience illustrates this concept. During the pandemic, the team, led by Jenn Vande Zande, adjusted its editorial focus to steal a segment of the red-ocean audience seeking COVID-19 coverage. Jenn and team designed the content to appeal to people looking not just for lockdown news but also for the most up-to-date practices and industry information for businesses on customer experience in the COVID-19 era.

SAP created a purple audience.

Get colorful

As a marketer, you should think about new audiences. How can you address them with content that may not be widely popular now but can help them better prepare for what you believe is coming tomorrow?

That’s a better question to answer for long-term content marketing success.

Get Robert’s take in just five minutes:

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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