MARKETING
5 SEO Trends to Leverage in 2022 [HubSpot Blog Data]
Keeping track of SEO trends is like hitting a moving target.
From algorithm updates to evolving innovation — it can feel like the goal post is always moving. And while the goal of SEO remains the same — to boost your presence in relevant search results — the tactics for getting there look different from year to year.
Here, we’ll cover the top SEO challenges facing marketers in 2022 and the five biggest trends to watch this year.
SEO Challenges in 2022
A HubSpot Blogs survey identified the top three challenges of SEO marketing:
1. Algorithm changes.
The number one challenge for marketers is keeping up with algorithm changes. This doesn’t surprise me — in 2020 alone, Google ran more than 500,00 experiments that led to 4,000+ changes to search.
If you’re like most marketers, this stat can feel pretty overwhelming. After all, how can you succeed when Google keeps rerouting the path to success?
The key is to respond to these changes strategically. For one, this means staying on top of industry news. If there’s a significant algorithm change, the SEO industry will likely comment on it.
The second strategy may sound counterintuitive — which is to wait until the dust has settled after an update. Why? In some cases, Google discovers a change has not panned out as expected and they revert back.
2. Not ranking.
SEO is a long-term game. Unlike paid search, organic results take time to show results — and it’s usually a culmination of smaller efforts.
To use a metaphor — SEO is like a mutual fund slowly building over time. It’s not the stock market, where you see gains and losses in real time. This can be helpful to mention when clients expect quick results.
There are some “solutions” to fix a low ranking, such as technical SEO and content marketing. However, even more important is developing a long-term strategy that focuses on three to four initiatives at a time.
3. Keyword research.
Keywords are the foundation of SEO. But today, rather than scanning for just a keyword, Google takes a high-level look at your website to get an overall sense of its tone, scope, and relevancy.
This means that keyword stuffing is out. Instead, the goal is to understand user intent, or the deeper problem your users hope to solve. With this understanding, you can perform better keyword research and write content based on this insight.
Check out this helpful article on how to add user intent to your keyword strategy.
5 SEO Trends to Leverage in 2022
1. Voice and Mobile Search.
“Hey Google, what’s a good substitute for heavy cream?“
This was a question I asked my Google Assistant last week while baking a cake, hands covered in flour. It looks like I’m not the only one using voice search — around half (44%) of all internet users in the US use a voice assistant.
There’s no denying that voice search is becoming a part of our daily lives. But how can we optimize our content for people searching with their ears — not their eyes?
The answer is clear — optimize your site for mobile. Since most voice searches occur on mobile and smart devices, it makes sense that Google prefers mobile-friendly sites with fast speeds.
Another strategy is reworking your content to include common questions users may ask. For example, identify long-tail question keywords and include them in your h2 or h3 headers.
2. Tightened page headers.
In 2021, Google rolled out a new search ranking feature called Passages. This feature lets Google rank specific sections of a page (or “a passage”) semi-independently from the page itself.
In other words, instead of ranking an entire page on relevancy, Google will now score for relevance in specific sections of a page.
For marketers, this change is no cause for concern – assuming your pages are organized. If not, it’s a good idea to tighten your page headers to provide more context for different sections, enabling Google to understand your content regardless of the markup.
Keep in mind that other page-ranking factors still apply — so don’t skip on backlinks, SEO-optimized copywriting, and other ranking strategies.
3. Emotionally-Charged headlines.
Have you ever clicked on a headline that was too compelling to resist? Turns out, a lot of research has gone into identifying a formula for clickable titles.
According to one recent study that analyzed 5 million headlines, emotional titles — either positive or negative — had a higher click-through rate than neutral titles. In fact, titles with a positive sentiment had a 7.4% higher CTR, while those with a negative sentiment had a 7.2% higher CTR.
That said, emotionally-charged titles can drive clicks — to a point. Go any further, and you quickly enter clickbait-land. For instance, the same study found that “power words” — or words specifically designed to grab attention — can negatively affect CTR.
Power words include terms like unbelievable, insane, and crazy. While these may work on social media, they can hurt your organic CTR — so use them sparingly, if at all.
4. Video in search results.
You’ve likely come across a YouTube video in a Featured Snippet. These tend to appear for “how-to” searches where the reader is looking for step-by-step instructions.
For instance, imagine you’re stuck on the side of the road with a flat tire. One Google search for “How to fix a flat tire” will lead you to the following video:
Video Snippets are just the beginning — we predict Google will continue to incorporate video into search results. With that in mind, it’s essential to optimize your own videos for Search.
Here are a few ways to get there:
- Add Chapters to your YouTube videos. Chapters break up your video into sections, usually by topic. This layer of context allows viewers (and Google!) to understand the contents of a video. It also makes it easy for Google to use different clips from your video for Featured Snippets.
- Include Closed Captions (CC). Closed captions help YouTube and Google understand every word in your video. While YouTube can automatically generate captions, these aren’t always accurate so it’s better to add your own manually.
- Optimize your title, tags, and description. Videos are like webpages — they have titles, descriptions (like meta descriptions), and tags (like meta tags). Optimize these using SEO best practices.
Lastly, it doesn’t hurt to embed videos into your website and blog posts — which can improve bounce rates.
5. Tweaking content for “People Also Ask.”
While browsing Google, you may have noticed something new: People Also Ask (PAA). In fact, 43% of search queries now include a PAA box.
With a prominent position at the top of the SERP, everyone wants to rank in this highly-coveted feature. Luckily, you can increase your chances by making some minor tweaks to your content.
Since the majority of PAA boxes start with question words, like “what,” “why,” and “when,” it’s a good idea to incorporate questions and answers into your content. You can use a keyword research tool to identify long-tail question keywords, then include these questions in your page headers.
Or, consider adding a FAQ section at the bottom of your web pages. Not only does this summarize key points for the reader, but it also has useful SEO benefits.
Back to You
The only constant in the SEO world is change. While it may feel like these changes are out of our control, so much is in our control — namely in how we react. Start by keeping an eye on trends and following the best practices in this article to help you navigate the changing landscape.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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