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How To Get Your Content to Appear

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How To Get Your Content to Appear

Updated March 7, 2022

In the rush to get on the front page of Google search results, a major opportunity stands out as the most useful and relevant: featured snippets.

At the top of many informational searches, these bits of text provide a quick answer to a searcher’s question. Since featured snippets outrank standard list results, they often are referred to as “position zero.”

If the brief answer appearing on the results page isn’t sufficient, searchers are more likely to click on that link to learn more. Thus, knowing how to increase the chance your content will be the featured snippet is a razor-sharp tool for marketers looking to increase brand awareness and organic traffic.

Knowing how to increase the chance your content will be a featured snippet on Google is a razor-sharp tool for marketers, says @JuliaEMcCoy via @CMIContent. #SEO Click To Tweet

How do you create content that has a high chance of ranking in featured snippets?

While many assume featured snippets are the territory of SEO masters or brands with million-dollar marketing budgets, that isn’t true. In fact, it’s easy to rank for featured snippets with organic content only. You just need the know-how.

What are featured snippets?

Featured snippets are the informational content that shows up in Google’s search engine result pages immediately after the ads and sponsored posts (if available). This search for “how to show ROI for marketing” features a snippet from Marketing Mo:

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If the search term attracted sponsored ads, they would appear above the snippet, which ranks as the top organic result. Google shows what it considers high-quality content in this space because it’s focused on fulfilling user intent.

How to earn featured snippets in 4 steps

Earning a featured snippet in Google isn’t as simple as keyword placement or ensuring your content is well-written. I’ll walk through the steps I use (and teach) to create content that ranks and earns snippets. This example walks through how we earned the featured snippet for “marketing content writer.”)

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Earning a featured snippet on Google isn’t as simple as keyword placement or well-written content, says @JuliaEMcCoy via @CMIContent. #SEO Click To Tweet

1. Research keywords with low keyword difficulty and high audience relevance

Every piece of content starts with research. Focusing on the wrong metrics will not lead to rankings or featured snippets. The right metrics include keyword difficulty and user relevance.

Keyword difficulty

While doing keyword research for my blog Content Hacker, I found the term “marketing content writer.”

As of this writing, “marketing content writer” has a keyword difficulty (KD) score of 50. When I originally found the keyword, it was approximately 40 in keyword difficulty.

KD is an SEO metric that tells you how hard it is to rank for a certain search term. If your site is relatively new or doesn’t have an established web presence, low KD matters.

Check the keyword difficulty score before you create #content. A low KD is helpful for sites without an established presence, says @JuliaEMcCoy via @CMIContent. #SEO Click To Tweet

Why? It’s impossible to rank for a keyword that established brands have already cornered. (That’s like a newbie runner trying to win a race against an Olympic athlete.) A low KD score essentially tells you the playing field is still open.

Metrics constantly change – which is why I recommend studying them on a weekly basis. Tools like Semrush, KWFinder, and Ahrefs are excellent for keyword data discovery.

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Image source

That brings me to the next metric when choosing keywords, especially if you have one eye on earning a featured snippet.

Relevance

If the keyword isn’t too competitive, ask yourself how relevant it is to your audience’s pain points.

This boils down to figuring out the user search intent behind the keyword. What is their goal when they type that term into Google? Can you tie it to a pain point your brand solves?

For “marketing content writer,” the search intent is clear after looking at the search engine results page (SERP). The “People also ask” panel is telling:

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Searchers want to understand what a “marketing content writer” is, what they do, and/or how to become one – and that is directly relevant to my business. The keyword was perfect for us to target in a blog article.

TIP: What terms resonate with your audience’s location and/or culture? Consider this when going after your keyword search terms.

2. Structure your content for the searcher’s needs

Once you determine your keyword and content topic, you create the content that will raise the chance of Google pulling snippets from your article to feature.

Specifically, always aim to structure your content for the searcher’s needs.

From studying the search results for “marketing content writer,” we know the searcher wants to understand the what – what does a marketing content writer do? Thus, our article answers that question quickly, right underneath the first H2.

Note: While our focus keyword was “content marketing writer,” Google picked up on “marketing content writer” for this featured snippet. There is always a chance of unpredictability with the exact term you’ll earn the ranking for.

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Three things to note about this example:

  • Stating the searcher’s question in the H2 headline shines a spotlight, so it’s easy to find. Using the H2 also emphasizes its importance when Google crawls the page.
  • We answer the question by defining the search term – “A content marketing writer is …” This is featured snippet fodder, and it’s the snippet Google grabbed to display in the SERP.
  • We use keyword variations and synonyms as naturally as possible.

Let’s not forget the rest of the content. The remainder of the piece gives the searcher information they need about this topic ordered from most important to least. Again, all of this is guided by the existing search results page, including:

  • Addressing facets in the “People also ask” panel
  • Studying the content structure of the top five rankings
  • Viewing “related searches” for synonymous keywords

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3. Aim for consistency across your content to build authority

If I could impart any advice about winning featured snippets, it’s this: A one-shot approach never works.

Consistency matters across all your content. It directly contributes to your domain trust/authority, which is a known ranking factor.

If you only invest in hoped-for featured snippet pieces, your overarching web presence will still be far below Google’s standard. (Read: You won’t win snippets if only some of your content passes muster.)

Your content presence as a whole needs to check these points:

  • High quality
  • Comprehensive
  • Engaging
  • User-focused

Don’t cut corners: Your content must fire on all cylinders to win with Google, including featured snippets.

HANDPICKED RELATED CONTENT:

4. Remember your end actions and goals

A featured snippet gives your brand a giant dollop of visibility in search. Almost all the time, they appear in the No. 1 organic position. If you earn one, make sure you’re taking advantage of the boost.

As you research keywords and create content, always think about your desired end actions/goals. What do you want your user to do, ultimately, once they click your link in the SERP? How will this path lead to a conversion? Ask this question every time to make sure you’re getting something out of these powerful rankings and placements in Google.

In our article about “marketing content writers,” we include variations of a call to action inviting readers to watch a free class throughout the piece:

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Our CTA pathway begins when the searcher clicks on our featured snippet for “marketing content writer” and ends when they apply for our program.

Keep your end goal top of mind throughout the creation process so that it won’t just earn featured snippets; it will also earn leads and customers.

All tools mentioned in the article are identified by the author. If you have a tool to suggest, add it in the comments.

Is your work award-worthy? You’ll never know unless you enter. Visit the Content Marketing Awards website to review the rules, study past winners, and sign up to get a reminder when the call for entries opens on March 7.

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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