MARKETING
SEO Writing for Beginner: Tips, Tools, and Techniques
SEO writing is essential if you want your pieces of content to rank on Google and other search engines. Learn how to do it the right way here.
You’ve heard of SEO writing, and now you’re wondering what it is and how to make use of it. Before we delve into the details of how to write for the search engine, let’s begin with the whys.
Ninety-three percent of online experience begins with search engines. With almost 75 percent of the market, Google remains the most dominant search engine on the internet.
According to Internet Live Stats, over 74,000 individual search terms are being typed into Google every second. That’s more than 6.3 billion queries every single day.
When people type these search terms into the query box, the search engine provides a list of URLs that best suits the keyword. These pages are called the Search Engine Result Page, or SERP for short.
Yes, search engines are a smart way to drive organic traffic to your website. And for the most part, it does. Seventy percent of marketers say that SEO is more effective at driving sales than PPC.
There’s just one small problem.
Almost 75 percent of users don’t scroll past the first page of the SERPs. Furthermore, 67 percent of all clicks go to the first five organic results.
As a result, you have hundreds of websites competing for one keyword or another. That’s where SEO writing comes in.
Writing your content with the search engine in mind gives you an edge over your competitors. Here’s how to do it.
Basics of SEO Writing for Beginners
The first thing you want to do is to find the right keywords for your site.
This entails understanding your niche and goals, then making a list of topics that are relevant to that goal. Next, identify the keyphrase or keywords that reflect a searcher’s intent, and type it into a keyword tool like KWFinder.
A keyword exists in different forms. For example, if a searcher wants to learn about cats, they might type the keyword “cat” into the query box.
Similarly, a buyer that’s looking for the closest flower shop could type the keyphrase “flower shops in Houston.”
A keyword tool will tell you:
- How much competition exists for the keyword
- How many people use the keyword in a search query
From this exercise, you can determine how whether or not you can rank for the keyword.
After selecting the keyword you intend to target, the next step is to use it in specific areas of your content and website. These include:
- Titles and headlines
- Subtitles
- Page’s metadata
- Within the content itself
Also, you can link to other websites that are relevant to your target keyword.
Sounds simple enough, right? There’s more.
5 SEO Writing Tips and Tools For Beginners
Here are five SEO content writing tips that’ll give your website a boost on the SERPs.
1. Focus on the Audience
Google’s primary goal is to provide the most relevant result to its users. That means you must provide content that’ll appeal to the interest of your audience.
In other words, your content must answer the question of readers in your niche or directly address their issues.
Figuring out content relevance was a guessing game in the past. Well, not anymore. Thanks to advancements in technology, writing tools like INK can tell you exactly how relevant your content is.
As more readers look to you for answers, the search engine will recognize your website as an authority in your niche, and reward you with a nice boost.
2. Avoid Keyword Stuffing
Using keyword-rich phrases in your articles is like a double-edged sword.
On the one hand, it can increase your content relevance when used thoughtfully. The flip side is that excessive use – keyword stuffing – is a turn off to users, and it can incur the dreaded Google penalty.
So, use the keywords as sparingly as you can. Also, it must blend naturally into the posts.
If you’re not sure how many times to use a keyphrase in a post, consider using WordPress plugins like Yoast.
3. Structure Your Post
Structure in SEO writing refers to providing the best reading experience to users.
It’s not enough for your content to be relevant; you have to make it easy for humans and the search engine bots to read. This involves breaking the content into smaller paragraphs with engaging subheadings.
Note that the proper tag hierarchy when using headlines is H1 for titles, H2 for subtitles, and so on.
Also, use natural language that the readers can easily understand, avoid fluffs, and passive voice.
4. Use Images to Support SEO Writing
Content writers tend to treat images as an afterthought, and that’s a bad idea.
Not only do images make a big impression about your post, but it could also help you rank in image search. That could ultimately bring more traffic to your website.
So, add images that support the content. Whether it’s an illustration, featured image, or a product image, it must enhance the users’ understanding of your post.
Also, consider adding alt text to explain what the image is about to your visually impaired visitors.
People love visuals. Moreover, images are content, and you should consider all content as part of your SEO strategy.
5. Promote Natural Link Building
Link building has come a long way since link farms and link buying. But make no mistake, it’s still an essential ranking factor for SEO.
With that said, link building may be a challenge for beginners.
Sixty-five percent of marketers affirm that link building is the hardest SEO tactic to complete. Also, forty-one percent of corporate marketers claim that link building is the greatest challenge in SEO.
How can a noobie like you build links, you wonder?
Well, create awesome content that readers would want to share. And as more people share your posts, you’ll have one or more links that lead back to your website.
Also, consider using tools like Ahrefs and Monitor Backlinks to track your link profile.
Read More: Top 10 Tools To Improve Your Content Creation Process
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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