MARKETING
Plan Content Topics for Better Search Ranking
You stand at the base of a mountain you want to conquer. Casting your eyes up, you see the summit in the distance, shrouded in uncertainty. The path ahead isn’t as clear as you hoped. You feel overwhelmed.
But then you realize those who’ve come before you have scaled this mountain. If they reached the summit, so can you. To do that, though, you must concentrate on each step rather than the steepness of the climb.
With your content strategy, you can ascend the heights of Google search results when you take it one step at a time. Let’s unpack the ins and outs of creating a website page that both humans and search engines will love to help your content reach the top.
Framework for Google rankings
In planning to climb the mountain, you should reverse-engineer the process. By working backward, you can map a trail for success with a fresh, comprehensive piece of content – starting with the head term (the tallest peak), the core topic (the secondary hill), and then the subtopics (the forest adjacent to the mountain).
Let’s reverse-engineer a topic familiar to most people but not well understood – credit scores.
1. Choose the overarching topic
Select your main topic, commonly referred to as the “head term.” Choose something you can build topical relevance around. Be broad.
Your goal is not to rank for the head term – though that would be nice. The head term’s purpose is aspirational to inspire the keywords around which you create content consistently. It should align with your products or services and resonate with your target audience. It should represent the main goal, idea, or problem that interests your customers. After all, your content is intended to convert visitors into patrons.
Include this head term in multiple places on your website, such as a URL or title.
Example: “Credit score” is a sufficiently broad term with a high monthly search volume (155,000), according to Ahrefs.
2. Identify core topics
Consider the core themes – the keywords support and contextualize your head term. Your goal is to rank for these themes.
A core theme does not need to mirror the head term exactly. Modern search engines comprehend synonyms. Put yourself in the audience’s shoes for the keyword research. What phrases and words would they use? What problems do they face, and what words would they use to find solutions to those problems? Consider using tools like Ahrefs’ Keywords Explorer to find thousands of relevant keyword ideas in addition to your ideas.
Dissect the top-ranking pages for those keywords. Analyze user intent and content quality. Identify areas for improvement.
Choose the core topics by striking a balance among relevance, search volume, and keyword difficulty (the higher the difficulty, the more challenging the climb on the results pages.)
Example: A search for “credit score” yields related suggestions like “free credit report,” “length of credit history,” and “average credit score.” In this case, “what is a good credit score” would be a great core topic to indicate the page’s meaning.
This keyword phrase has a high volume of traffic (82,000 a month) and a manageable keyword difficult score (74 out of 100).
Image source: Ahrefs
Here’s what the search engine results page looks like for “what is a good credit score.” It includes a featured snippet that links to a URL from Equifax. Then, Experian claims the first organic, non-paid listing.
The Experian page gives a quick answer, “For a score with a range between 300 and 850, a credit score of 700 or above is generally good.” The rest of the site delivers user-friendly, comprehensive content divided into sections and articles with hyperlinks for deeper exploration.
3. Form subtopic clusters
Reinforce your core themes with subtopic clusters in the form of blog posts, videos, and how-to guides. They lay the foundation for your climb to become the leading authority on the head-term topic.
Ponder potential subtopic content ideas as questions since search queries tend to take this form and indicate the user’s intent. What do they look for when they search for this topic? Are they seeking information, a solution to a problem, or a product/service recommendation?
Google’s related searches and people-also-ask features serve as a gold mine for finding related questions. Tailor your pillar content to align with user intent.
A subtopic’s monthly keyword search should be in the range of 500 to 15,000 to find high-volume phrases with a lower level of difficulty.
Also, consider these general SEO tips:
- Create perspective-driven content: Google increasingly values content written from a first-person perspective.
- Place the keywords: Incorporate your target keywords naturally throughout the content, including in the title, headings, subheadings, and body.
- Optimize images: Use descriptive alt tags for images and compress them to improve page load speed.
- Design the experience: Ensure your head-term or pillar page provides an excellent user experience on desktop and mobile devices.
- Check the page speed: Google considers page speed as a ranking factor. Optimize images, use a reliable hosting service, and minimize code to shorten load times.
- Link to internal content: Add links to your site’s relevant cluster content and related resources.
- Add external links: Request external links to your targeted page from third-party sites. External links can indicate a higher authority of the content to search engines.
Example: The No. 1 ranking content for “what is a credit score” from Experian includes brief sections to outline the types of credit scores – FICO and Vantage – as well as what affects a credit score, why having a good credit score is important, and how to improve your credit scores.
Experian doesn’t stop there. It uses the overview article to highlight the answers but then devotes subtopic articles to those individual questions, such as what a good FICO score is, to create subtopic clusters.
In investigating the potential of “what is a FICO score,” you can see it has a good monthly search volume (9,100) and an OK difficulty score (67 out of 100.)
Keep climbing
As you embark on the journey toward the summit of Google rankings, keep in mind the path isn’t quick to travel. Yet, with meticulous planning and a steadfast mindset, it’s an attainable feat.
Of course, creating great content is only half the battle. You must promote it to reach a wider audience. Share your web page on social media, email newsletters, and other marketing channels. Consider reaching out to influencers or industry experts for collaborations or guest posts that link back to your content.
Venture step by step, recalibrate your strategies, and ascend toward the ranking heights you’ve envisioned. As you scale the mountaintop, take a moment to relish in your accomplishment and enjoy the view.
Updated from an August 2020 article.
Please note: All tools mentioned in this article were suggested by the author. If you’d like to suggest a tool, share the article on social media with a comment.
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Cover image by Joseph Kalinowski/Content Marketing Institute
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
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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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