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The Professional’s Guide to SEO: Link Building Sneak Preview

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The Professional’s Guide to SEO: Link Building Sneak Preview

We’re developing a brand-new SEO guide for you — The Professional’s Guide to SEO, designed as your next-step resource once you’re comfortable with the baseline provided by the Beginner’s Guide to SEO.

When we think of link building, one of the first people we think of is our friend Paddy Moogan at Aira, the architect of the Beginner’s Guide to Link Building, MozCon alumni speaker, and industry thought leader. That’s why we’re jazzed to announce that the link building chapter of our upcoming Professional’s Guide to SEO is authored by none other than the fine folks at Aira. And today we’re sharing an excerpt of that very chapter.

Dive in for a glimpse at our newest guide, and as always, give us a shout on Twitter if you have any thoughts or recommendations — we love hearing from you!

Link Building & Link Earning Tactics

Measuring link building

In this section, we explore approaches to measuring links and understanding which ones may make the biggest difference to traffic and rankings, along with business outcomes such as revenue.

Once your link building strategy is set and you’re underway, you need to measure your work so that you can understand the effectiveness of what you’re doing and demonstrate its value. There are a few ways that you can measure link building, which we’ll cover below, along with the pros and cons of each one.

Volume of links

You can use various tools (such as Link Explorer) to measure the volume of links to a domain and then measure this number over time. You can also manually measure the links that you build via your own outreach and record these over time.

The advantage of this measure is that it’s very easy to do and is usually a direct consequence of the work that you are doing. For example, if you engage in a tactic such as broken link building, you can see exactly how many links you were able to build as a result of that work. This will allow you to understand which activities are most worthwhile and effective at generating volumes of links.

There is a downside to this form of measurement. Not all links are created equal, and the raw volume of links isn’t very useful without important context such as the authority and relevance of those links.

One high-quality, authoritative, relevant link could do more for your site than a hundred low-quality links. If you only measure link volume on its own, then the hundred low-quality links may be seen as successful and effective.

Volume of links can be a useful metric as long as you layer it with other context, which we’ll talk about below.

Quality of links

“Quality” is generally quite subjective, but when it comes to link building, there are some good ways to understand and measure the quality of a link. The two core ways are:

  1. Relevance of a link

  2. Authority of a link

Let’s talk about relevance first.

Link relevance

Relevance isn’t binary. You can’t just look at a link and say off the bat whether it’s relevant or not. For example, imagine you get a link to your website from another in the same industry and which contains content similar to yours. It sounds relevant at the surface, but what if the link is pointing at a piece of content you’ve created that’s on a completely different topic — is that still a relevant link?

What if you somehow get a link from NASA to your coffee beans website? Space exploration isn’t exactly relevant to the grinders and beans that you sell, is it?!

Situations like these make relevance pretty difficult to measure, especially at scale. But it’s possible to do by using your own experience, instincts, and by asking a few basic questions when looking at a link:

  • If the link is on another website, how likely is it that a potential customer for your products would see that link?

  • If the link is to a piece of content that you’ve created, would that content resonate with your ideal customer?

  • If someone at your company who has zero knowledge of SEO and link building saw the link, would they be happy with it?

Questions like these can help you judge whether a link is relevant to your business or not. Despite it not being the most objective measure and hard to scale, factoring relevance into your link building measurement at some point is vital. This is because the more relevant links are, the more likely they are to put you in front of potential customers and to generate real traffic.

Link authority

When it comes to authority, there are many third-party scoring methods that aim to replicate Google PageRank. Domain Authority and Page Authority are proprietary metrics created by Moz. They can give you an approximate idea of how much value a particular link has. It’s not foolproof, and no third-party metric can truly replicate Google PageRank, but they can be good enough to give you a rough idea of how much authority a link has.

Using third-party metrics is a good thing, but you should always keep in mind that these metrics are not used by Google themselves. This means that they’re naturally limited in their usefulness and, similar to link volume, they shouldn’t be used without context.

Rankings and organic search traffic

Ideally, the link building that you carry out should have a positive effect on your organic search rankings and as a consequence, your traffic as well. As we learned earlier, there are many signals that Google uses to determine organic search rankings, but building the right kinds of links is a strong one and should help you rank better.

However, it can be hard to measure the direct effect of the links you build on organic search rankings and traffic. It’s not as simple as being able to say “we built 10 links and our traffic went up by 20%.” Despite understanding some of the signals, none of us knows exactly how the Google algorithm works and even if we did, every website and industry is different.

Building ten links for a brand-new coffee bean website is likely to have a bigger impact than building 10 links for an established website that sells car insurance.

This makes our lives harder as SEOs, but not impossible. It’s also easier if you’re able to control or at least have some influence over other important areas of SEO, such as technical SEO or content.

The main thing that many of us can do, regardless of how much control we have, is to measure organic search rankings and traffic objectively over time and look for consistent improvement. Check your rankings with tools such as Moz Pro or Google Search Console and use Google Analytics to check traffic.

Referral traffic

Another way to measure the effectiveness of link building is to look at how much traffic is sent via the links that you’ve built.

It’s easy to get caught up in measurement of rankings and organic traffic and forget that you can generate traffic directly from links, too. This happens when someone sees your link and then clicks on it, resulting in a visit to your website.

Now, not every link that you build will send traffic — and that’s okay. However, one aspect of your approach should include building links that do indeed lead to referral traffic. They may come as a result of launching a great piece of content or building a new, innovative product feature that gets picked up by industry experts.

Setting expectations is important here because, as mentioned, not every link will send lots of traffic. For example, if you get a link on a page because of a great resource that you’ve created, but your link is amongst hundreds of other links on the external website, the chances of someone clicking on yours is significantly reduced.

With that said, it’s a fantastic metric to use and pretty simple if you utilize analytics tools such as Google Analytics.

Want more news about the Professional’s Guide to SEO? Don’t miss any of our future sneak peeks — make sure you’re signed up for Moz Blog email updates!

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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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