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How to E-A-T Ethically with Digital PR

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How Stacker.com Earned 1M+ Organic Monthly Visits Through Content Syndication [Case Study]

The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

It’s an old marketing cliche that people buy from people, not brands, and if you spend any amount of time on LinkedIn, you’ll be inundated with personal branding gurus explaining to you exactly why that is.

Ultimately, it all comes down to trust — the T in Google’s E-A-T.

People are more likely to trust a brand or organization with a real human face. In a crowded e-commerce space, that trust (or lack thereof) can make or break a website’s fortune in the SERPs.

This, combined with a move away from historic link-building activities, such as link exchanges or broken link building, has seen brands of all sizes from household names to e-commerce start-ups jump on the thought-leadership bandwagon.

Free and easy-to-access tools such as HARO and the Twitter #journorequest hashtag offer a low barrier to entry and give the misleading impression that this is an easy route to links in top-tier publications — without the need to invest in a long-term strategy.

When done right, this type of digital PR can deliver a range of benefits for both SEO and brand awareness, but building trust both with search engines and consumers takes time and consistency.

Below I’ve included some examples of best practice, as well as explained how to avoid common pitfalls.

About who?

A strong “About Us” page is one of the most important on-page trust signals for a content SEO strategy when it comes to E-A-T. Whether you’re using the page to introduce one subject matter expert or a whole team, make sure to include a decent headshot and a bio clearly outlining their credentials, role, and expertise.

The Huel “About Us” page is a great example featuring a photo and quick bio of their founder Julian Hearn:

Don’t invent a subject matter expert just to put a face to the website and suggest that content is written with authority. And don’t be tempted to use a stock photo on an “About Us” page or author profile — we all know how easy it is to reverse image search a profile picture. If a journalist is impressed with an expert’s credentials, and reaches out for a phone or Zoom interview with someone who doesn’t exist, it’s going to be very awkward.

Don’t fake it until you make it

Google has made it clear that it values everyday expertise, so there really is no need to fake a doctorate. Instead, find an authentic way to present real, lived expertise.

Google’s Search Quality Evaluator Guidelines state:

“Some topics require less formal expertise. Many people write extremely detailed, helpful reviews of products or restaurants. Many people share tips and life experiences on forums, blogs, etc.”

Huel is a nutrition brand but its founder is honest about his area of expertise, which is business and start-ups. The Huel website doesn’t attempt to present him as a qualified nutritionist in hopes of landing links or impressing Google.

This level of transparency is best practice whatever the industry, but is especially important for financial or medical experts, which leads us on to…

Health and wealth

Google has been very open about setting a higher bar for what it deems “Your Money or Your Life” (YMYL) pages. This is any page that, according to the Search Quality Evaluator Guidelines, could impact the future happiness, health, financial stability, or safety of users.

This doesn’t just apply to the websites of banks or healthcare providers. Health and wealth could cover a multitude of e-commerce industries, from websites selling CBD products, vapes, or supplements, to online casinos and loan services.

Google wants to see that this content is written by those with authority on these topics. Digital PR can play a crucial role by positioning on-site authors as subject experts and having them cited elsewhere — whether that be in newspapers, academic studies, or on government websites.

When outreaching content, it’s always best to assume that both Google’s algorithm and a journalist’s instincts are going to be well trained in identifying a real expert from a phony.

Content conflict

Digital PR is still PR — yes we’re here to build links, but those who adopt a “links at all costs” approach will often find it comes at the detriment of a brand.

There’s nothing wrong with using a strong soundbite to get coverage in the press, and there is nothing wrong with being controversial when appropriate. Some start-ups deliberately build a reputation on being outspoken and disruptive, but you must always consider how a quote will reflect on the brand, and crucially, whether it will contradict company ethos.

Reactive PR, especially newsjacking, is fast-paced, and this can make abiding by tone of voice guidelines feel like wasted time. But remember: you’re not just building links, you’re building a reputation. This means you run the risk of doing serious reputational damage if you ignore a brand’s vision and values in the quest for links.

In a world of screenshots and digital “receipts”, being caught saying one thing in the press and one thing on site can make a brand or expert look at best a bit silly and at worst untrustworthy.

Huel are open on their About Us page about Julian’s expertise, and they take the same approach in the press. Julian is cited as talking about business and start-ups in business publications, not talking about nutrients in science journals.

Screenshot of SERP for Julian Hearn query.

It’s also worth bearing in mind whether a brand or expert can add real value to a story, especially when the news centers around real human suffering such as a school shooting or the invasion of Ukraine. Sometimes it’s better to just sit a story out — there are bigger things than SEO.

Don’t sleep on socials

When it comes to trust signals, social profiles can often be overlooked. After all, it’s not usually something that falls under digital PR’s remit. However, when you’ve got a real subject matter expert on page, you’re going to want to ensure that both journalists and Google know this.

If you contact a journalist with commentary or analysis from an on-page subject expert, the likelihood is they will Google them, and a public-facing social profile (LinkedIn, Twitter, or even TikTok) that demonstrates industry or subject knowledge will make the journalist feel more comfortable including them in an article.

Make sure that the About Us page links out to these social profiles, and don’t forget to include a link back to the site in the bio of the social profiles.

Screenshot of "places to find me"

The perfect E-A-T circle

When Google sets its Search Quality Raters on a website, they will cross the web looking for signals confirming expertise and authority – including everything from news articles to Wikipedia pages – meaning even non-linked citations have value here.

This is where a holistic thought-leadership for digital PR strategy that incorporates newsjacking, About Us pages, and social profiles can start helping both Google and journalists connect the dots on a thought-leader’s expertise.

A subject-relevant news article that cites an expert’s name, or better yet, links to an About Us page, means that the next time a journalist Googles them, they’ll see even more evidence that they are an expert.

This should result in more coverage, more evidence of authority on the topic, and ultimately more trust signals for Google. The perfect circle of expertise, authority, and trust.

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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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