MARKETING
How to Unite Content Marketing and SEO Strategies [Sponsored]
You already recognize the value of using content to attract new prospects and retain loyal customers. And, like most of us, you’ve probably built your content strategy on the guiding principles of search engine optimization (SEO).
But, in today’s hyper-competitive content marketing environment, perfecting your content purely from an SEO standpoint is no longer enough to reach your target audience and generate valuable leads. If you want to keep attention on your brand, it’s essential to reevaluate your content strategy to deliver value that goes beyond keywords and social media snippets.
In this article, you’ll learn why savvy marketers need to avoid focusing solely on SEO. You’ll also discover ways to kickstart your content marketing strategy so it caters to your customers’ true content preferences.
Keep reading to learn how to develop a data-driven content strategy that will keep you ahead of your competition.
Key takeaways:
- A successful marketing strategy combines the power of SEO and content.
- Content marketing that utilizes data will attract, engage, and convert your target audience even more.
- To drive more impact, your content needs to be easily shareable and searchable.
According to recent data, 68% of trackable website traffic begins with a search. SEO is a strategy that focuses on optimizing the content published on your website so it ranks higher on organic search engine results pages (SERPs) and helps build your brand’s domain authority.
In theory, the higher your content ranks on a SERP, the more likely new prospects will click on the links that lead to your website, where they can convert as customers. But as search algorithms are constantly evolving, you’re forced to continually update your SEO strategy to ensure it meets Google’s latest criteria. This means building your content strategy around SEO considerations alone will never be the most practical or cost-effective long-term solution.
On the other side, content marketing focuses on developing quality content that engages your target audiences and provides them with valuable information about your brand, your products or services, and other relevant topics they care about. With a successful content strategy, you can establish trust and build credible authority in your industry. Of course, if prospects can’t find your content when they’re searching, your creative development efforts are going to waste.
To ensure the SEO and content marketing strategies you’re building will complement each other, here are a few steps you’ll need to take:
- Understand your audience: Researching your ideal prospect’s challenges, needs, and interests ensures that your content will appear to the right people when they do a search.
- Conduct keyword research: Finding the right keywords to use in your content will help you rank higher in search results and reach more of the people you’re targeting.
- Develop more-informative content: Creating relevant content for your customers will improve your engagement, rankings, and overall authority. Even more importantly, it can help you stand out from your competitors.
Remember – it’s not about choosing content marketing over SEO. Instead of viewing the tactics as separate, the key is to take a holistic approach where SEO and content can work together in parallel, thus driving more engagement and conversions.
Yes, SEO does have a vital role to play in content success. But when it comes to your overall marketing strategy, the old saying, “content is king” rings true. Industry research supports this. For example, 82% of marketers in HubSpot’s 2021 industry report say they actively use content marketing. However, simply creating content isn’t enough to ensure that you’ll achieve strong returns on your content investment.
One key to becoming more successful with your content development strategy is to use data to understand your audience’s preferences – both within your industry and across the greater content landscape.
Today, there are advanced platforms and tools that utilize AI and machine learning to analyze data that go beyond SEO results. Contrend, for example, is a SaaS content marketing platform that looks at more than 20 different data sources to learn and recommend the best tones, styles, images, and formats of content that your target audience wants to consume.
With these deeper, concentrated data insights, you can develop a content strategy that will lead you to create content that converts more reliably and delivers the best possible ROI. For example, videos, blogs, and e-books continue to rise in popularity due to their digestible nature. But your target audience may actually prefer engaging with another form of content – something you’ll only know if you have the right data on hand.
Some types of content may be more popular, but will they perform better than others? (Via HubSpot)
Now, this doesn’t mean you should kick your SEO strategy to the curb and just concentrate on creating content. You need to focus on making content marketing work alongside SEO. Here are a few reasons why:
Valuable content answers questions and solves problems
First off, technical SEO aspects like headlines, alt attributes, and URL structure are essential to maintaining an optimized and crawlable website. However, whether you rank number one or number 21 in search results, technical SEO won’t keep someone engaged once they reach your website. In fact, it could lead to a higher bounce rate if your content isn’t meeting your visitors’ expectations.
Within your content, use your list of targeted keywords and similar relevant search terms naturally to signal to search engines that your website is a good match for the original search intent.
While “quality” content isn’t a new concept for marketers, it goes well-beyond keywords when it comes to meeting your customers’ needs:
- The content needs to be completely original and offer unique information that only your brand can share, which is an excellent opportunity to leverage thought leadership.
- Typically, a user lands on your content because they’re looking for an answer to their question. Make sure you include actionable tips and insights throughout your content to help them solve their original inquiry.
- For your content to reach “royal status,” it needs to stand alone as an evergreen resource.
The more you develop customer-centric content and build credibility, the more backlinks and industry authority you’ll earn. It’s a win-win!
Sharable content on social media helps your brand rank
Your audience uses the internet and social media to find answers, build relationships, and share content. Even if SEO gets you in front of your audience, it doesn’t guarantee that they will like you or want to share your content with others in their digital social circles. While social shares don’t directly impact your Google ranking, social profiles typically appear high in search results, letting search engines and potential customers know that you provide engaging content that’s worthy of a click.
Developing blogs is a top priority for 53% of marketers, likely because this content is highly shareable and optimizable. To create more shareable content and get your social profiles to rank higher in search results, your content should:
- Elicit an emotional response from readers
- Allow prospects to see themselves in your material
- Relate to trending topics in your industry to stay relevant
- Provide helpful advice, solutions, and answers
- Present information in visually appealing formats, like infographics
Some types of content are more shareable than others. (Via OptinMonster)
Structure content to drive engagement and conversions
With the right SEO strategy, you have the potential to drive virtually limitless amounts of traffic to your website. However, all those website visitors contribute nothing to your bottom line if they aren’t converting into customers.
It’s essential to consider how your SEO and content marketing will impact your sales funnel. To fill your pipeline with qualified leads, structure content with these three components in mind:
- Utilize on and off-page SEO to enable your target audience to find you in search results.
- Build trust among your prospects through high-quality, high-value content that positions your brand as a clear thought leader.
- Drive conversions by helping leads feel more connected to your brand.
While SEO helps you reach the first step, you also need impactful content marketing that will engage your audience and drive them farther down your funnel towards conversion.
Instead of relying on traditional content marketing metrics like SEO and social listening, your content strategy should be built from data that delivers a complete picture of your audience’s content preferences. Applying the right data in the right way to attract, engage, and convert your target audiences not only complements your SEO strategy and goals, but it also increases your ROI.
While you’ll never control the search engine’s ranking factors, Contrend will help you build a content marketing strategy that enables you to build meaningful relationships with your target audience and increase your industry credibility.
About Contrend
Contrend is a scalable, affordable SaaS solution that harnesses the power of artificial intelligence and machine learning to recommend the topics, styles, formats, tones, and images that will convert your audience.
How? Contrend harvests data from numerous content sources, not just from SEO and social-listening metrics. In addition to top search engines, our data partners include YouTube, Alexa, Semrush, Meltwater, podcast platforms, and dozens more.
Tried and trusted by businesses around the world, including KPMG, Hilton, and Standard Chartered, Contrend can operate in any industry and market, requires limited integration, and can be rapidly deployed to help you revolutionize your content strategies, production, and reporting today.
Leverage deep data insights and predictive content recommendations to cut through the noise and create content your audience actually wants.
Ready to revolutionize your content strategy? Get started with Contrend today!
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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