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Why SEO and Copywriting Go Hand in Hand

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Why SEO and Copywriting Go Hand in Hand

Content is considered to be the foundation of a successful SEO strategy.

What exactly does that mean?

Why is content so important for search engine optimization?

First Things First: What’s “Content Marketing?”

Content marketing is creating and distributing valuable, relevant and consistent content in order to drive brand awareness, traffic and sales.

Please note if your content isn’t valuable, relevant and consistent, it’s not content marketing. If it’s not driving profitable customer action, it’s not marketing.

Gone are the days when you could have just used your target keyword a certain number a times across your document to convince the algorithm that your content is relevant to that search query.

Google has come a long way since then.

Its innovative algorithm is implementing artificial intelligence to teach the algorithm to think like a human being. It is using a variety of signals to evaluate how useful any search result turned out to be.

There’s no faking true value any more.

Authentic value always comes first.

Why Content is So Important for SEO?

Content is traditionally fundamental to SEO because Google needs words and text to understand relevancy.

Even decades after Google algorithm was born and now that Google can now read visual and video content, Google still admits relying on text for the most part:

Why SEO and Copywriting Go Hand in Hand

With that in mind, how exactly does Google understand quality and relevancy, when it comes to textual content?

What is High Quality Content?

Truly Useful Content

Number one, just be awesome at what you do. Google is getting better and better at being able to differentiate what people are really asking for.

Be very clear about who you are and what you do. It’s not guaranteed that you won’t run into those problems, but Google is getting better at figuring out the intent of a query and really finding what the best result should be.

Authenticity and transparency go a long way. It is not about faking relevance and quality signals. It’s about really solving the problems behind search queries.

As a result, it’s getting harder for affiliates and resellers to suck traffic away from brands in branded search queries, without the brand having to do much SEO improvement on their part.

Content and Link Building

There’s another distinct benefit of creating content for your business site: Content attracts links, and without links, there are no rankings.

Content-driven link building is the only safe link building out there: You generate links via creating linkable content. There are multiple formats and tactics behind creating linkable content, and you will need to experiment with all of them to find what works in your niche:

1642127253 623 Why SEO and Copywriting Go Hand in Hand

To help your content drive links, reach out to bloggers and journalists in your niche and invite them to read your content and link to it. This is a slightly overused but still perfectly legit and effective way to get backlinks. Use Hunter to easily find emails of bloggers’ and journalists’ you think would be interested in your content.

Their Email Verifier feature is also very useful for cleaning your existing email lists and getting more out of your outreach methods.

1642127254 231 Why SEO and Copywriting Go Hand in Hand

Content and SEO: They Only Win Together

So it is quite clear that SEO isn’t really possible without content.

Can content exist without SEO?

It actually can.

But unless you keep SEO in mind when creating content, you rely on a sheer chance to have it ever discovered or found.

When it comes to business and marketing, relying on luck is never a good strategy. You need data and planning to increase your odds of success, and that’s where SEO comes in handy.

It’s becoming much more important for content creators to understand how content is published and discovered on the Internet. In a way, optimizing your content for search is getting easier to understand and easier to integrate into the whole content creation process. 

Why would you create content and put it out there and have someone else come in and optimize it later? If you’re doing the content creation and putting it in a CMS or working with a developer to get it published, well why not integrate that stuff as you’re doing that along the way?

It is especially important for small companies, non-profits, and even government and higher education – those people who don’t have huge SEO resources. 

If content professionals can learn a small amount of basic SEO, they’ll get 90% of the way there. All of the other super heavy keyword analysis, back-linking profiles and pattern analysis, that’s what you do when you’ve already gotten 90% there.

Content + SEO Tools

There are quite a few SEO tools that can empower your content creation process and let your team make more informed marketing decisions. My favorites are:

1. Ahrefs

Ahrefs is a keyword research tool that relies on Google search data. It extends your search query and lets you discover what your competitors are ranking for. It is a great content ideation and optimization tool allowing you to see which problems and questions your target audience is struggling with:

1642127254 386 Why SEO and Copywriting Go Hand in Hand

2. Text Optimizer

Text Optimizer is a semantic research tool that takes your target queries and imports search snippets that come for it. Then it analyzes the text extract related concepts and entities letting you discover more topics and angles to cover:

1642127254 406 Why SEO and Copywriting Go Hand in Hand

Text Optimizer is a great tool to create lead magnets because it drives long-form in-depth content creation that tackles multiple angles within your chosen topic.

3. Google Analytics 

Google Analytics allows you to identify the most successful content to help you use the data to better understand your audience and focus on what works.

4. Buzzsumo

Buzzsumo includes lots of tools including content analysis and backlink research. The whole toolset focuses on content signals and authorship making it a great fit for content creators and media publishers.

5. Rank Tracker

With Rank Tracker, you can generate a ton of keyword ideas for your content, create keyword groups for landing pages, and set up rank monitoring for your and your competitors’ websites.

1642127254 766 Why SEO and Copywriting Go Hand in Hand

Bottom Line: Content strategists must not be afraid of SEO

A lot of people have asked me where to get started with this and I’ve been referring them to Moz’s Beginner’s Guide to SEO. It’s basic, it’s written for an audience that doesn’t know anything about SEO, and it gets you almost all the way to where you need to be.

But fundamentally, it is all about collaboration: Your content marketing should rely on SEO for ideation strategy and data but it also needs to be unique and creative.

Content and SEO teams are both only as strong as their weakest links. The things you publish need to be found organically to break through today’s cacophony of content. Search, content, social, technology, UX and analytics all have to be working in perfect harmony, and so does your team. 

If there is organization silos, your content will suffer. If you have inefficient workflows, your content will suffer. And if people don’t believe in your mission and values, your content will suffer. Strong individuals build great teams. Great teams build great companies. SEO and content should work together to drive a successful digital marketing strategy.

1642127254 701 Why SEO and Copywriting Go Hand in Hand

Ann Smarty

Ann Smarty is the brand NINJA at Internet Marketing Ninjas as well as the founder of numerous startups including MyBlogGuest, MyBlogU, ViralContentBee, TwChat and many more.

Ann Smarty has been an online marketing consultant for 10 years providing high-quality digital marketing consulting through her services and courses (both free and paid).

Ann Smarty’s content marketing ideas have been featured in NYtimes, Mashable, Entrepreneur, Search Engine Land and many more. She is known for her indepth tool reviews, innovative content marketing advice and actionable digital marketing ideas.

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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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