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5 Evergreen Content Tips for a Year-Round Marketing Strategy

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5 Evergreen Content Tips for a Year-Round Marketing Strategy

Does your content strategy use the “luck” of the green?

If you publish evergreen content, it does.

Evergreen content feels like a lucky strike – reaching a person at the exact moment they need it. Devoting some percentage of the content you produce to evergreen topics helps you get the most from your content marketing investment. It also can generate growth in subscribers, followers, or customers by serving go-to help and guidance website visitors want.

Think of including evergreen content in your strategy as seeding a forest of opportunities for your brand’s content marketing.

Include evergreen #content in your #ContentMarketing strategy to seed a forest of opportunities, says @AnnGynn via @CMIContent. Click To Tweet

What is evergreen content?

By definition, evergreen content stays “fresh” and has no expiration date. The term derives from trees and bushes that keep their green needles regardless of the season­ (they never go dormant). Similarly, evergreen content maintains or increases its value during a long (sometimes infinite) shelf life because it’s relevant – but not necessarily timely.

Content marketing is all about delivering the right content to the right person at the right time. But zeroing in on the exact moment a specific person needs a particular content piece isn’t easy.

Including evergreen content (blog posts, articles, videos, infographics, etc.) as part of your marketing strategy helps. Think of your evergreen pieces as the canned goods in your content arsenal. A well-stocked content pantry means visitors will always find something worth consuming.

Evergreen #content is like a well-stocked content pantry – it ensures visitors will always find something worth consuming, says @AnnGynn via @CMIContent. Click To Tweet

1. Choose an evergreen topic (and make it timeless)

You probably already have a lot of evergreen content – or potential evergreen content – in your library. They’re the timeless pieces (often SEO champions) that attract visitors month after month.

Here’s an example. Betty Crocker sells cake mixes and frosting, so articles that explain how to decorate a cake make sense for the company’s content marketing strategy. The brand’s evergreen article It’s the Perfect Time To Try These 5 Surprisingly Easy Cake Decorating Techniques appears high on the search result page for “how to decorate a cake.”

1647514309 520 5 Evergreen Content Tips for a Year Round Marketing Strategy

What makes this piece evergreen? First, notice that the headline doesn’t tie the article to any event or holiday, even though cakes figure prominently in birthdays and seasonal celebrations.

Even though the publish date (March 19, 2020) appears at the top of the page, most readers won’t care even if they notice. After all, basic cake decorating tips don’t expire or change drastically.

Notice, too, that the multiple cakes on display offer enough variety to avoid limiting their appeal. (The pastel pink cakes might bring to mind Valentine’s Day, Easter, or a birthday, but the chocolate cakes keep the image applicable to more than just those events.)

TIP: Avoid trendy or seasonal images in evergreen articles. Timeless images send the signal that the content remains relevant today.

Avoid trendy or seasonal images to keep evergreen #content relevant all year long, says @AnnGynn via @CMIContent. Click To Tweet

Now, let’s look at the first paragraph:

If you’ve got time and energy, we’ve got the techniques you need to make beautifully decorated cakes. And don’t worry, there’s no experience required. Despite their impressive looks, these techniques are beginner-friendly!

That paragraph could have been written yesterday or 30 years ago. Regardless, someone who wants to know how to decorate a cake – a member of Betty Crocker’s target audience – would still find the advice helpful.

2. Create evergreen content about timely topics

Although evergreen pieces should be timeless, you can write about timely topics in an evergreen way.

For example, I wrote an article called Should the News Disrupt Your Content Calendar? Here’s How To Decide two years ago. Look at the publish date: March 17, 2020.

You can guess which “news” I was thinking about when I wrote it. But I didn’t mention the pandemic or COVID-19 in the article. The topic – news disrupting your planned content – felt timely, but I wrote it in an evergreen style by not focusing specifically on the news of that moment.

Tip: Before creating content about a timely topic, brainstorm all the related possibilities. Then, ask yourself which ideas would serve your audience well now and in the future. Prioritize the development of these ideas.

Before creating #content, ask yourself which ideas would serve your audience now and in the future, says @AnnGynn via @CMIContent. Click To Tweet

3. Turn existing content into evergreen pieces

You can modify existing content to create an evergreen version – even if you hadn’t planned the piece as evergreen from the start.

Let’s look at how the process could work using this article from NerdWallet: How To Find the Best Tax Preparer or Tax Advisor Near You. It’s dated Jan. 21, 2022 – timely for the current tax season. The article covers seven fairly timeless tips for finding a good local tax preparer. But the fourth tip includes dated information – a statistic about the average fees in 2020 – that makes the article already feel a little less than fresh.

1647514309 922 5 Evergreen Content Tips for a Year Round Marketing Strategy

To create an evergreen version of that article, NerdWallet could simply remove that sentence. This minor edit would have little impact on the article’s usefulness – it’s a nice-to-have detail that’s not necessary to the piece’s value.

Think about how you can modify sections of your timely content to create evergreen versions of them. It may be as simple as writing a new intro to take out seasonal or dated references and publishing a new version.

The work needed to republish evergreen versions of your content would likely take fewer hours than creating an entirely new piece.

4. Link out to timely info

Evergreen content can still encompass a timely element without mentioning the time in the actual article. Let’s go back to the NerdWallet example. It includes a bullet (and link) that reads, “Find a local tax preparer for free: See who’s available to help with your taxes in your area.”

1647514309 335 5 Evergreen Content Tips for a Year Round Marketing Strategy

That list will change every year. But the article remains evergreen (but still helpful) because it doesn’t include the frequently changing details – it simply points readers to a page where the (presumably frequently updated) information lives.

5. Plan to create evergreen content

You probably create evergreen content without giving a second thought to its “evergreen-ness.” But taking a deliberate approach to planning and creating evergreen content will bring you more luck, prosperity, and growth.

Follow these tips to ensure evergreen content is part of your content planning:

  • Think about each content piece’s topic and purpose. Which ones would do well as evergreen content?
  • Schedule a minimum number of evergreen pieces. You might decide to designate a percentage of total expected content creation to evergreen topics. Or you might plan to publish on evergreen topics two times a month, three times a week, or on some other interval. The point is to create it purposefully.
  • Highlight evergreen pieces on your content calendar (in green, maybe?). Noting evergreen content helps when you need to adjust the calendar to accommodate timely topics that pop up.
  • Choose goals for evergreen content performance that are appropriate to a long lifespan. For example, you may expect evergreen pieces to do well over six months or a year rather than within a single month or quarter.

And with that, your evergreen content should help your brand see green from its content marketing.

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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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