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How To Write Meta Descriptions

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How To Write Meta Descriptions

I’ll be the first one to admit it: the first time I wrote a blog post, I had a lot of new terminology to learn.

Specifically, I didn’t know the purpose of a meta description and why adding one to a blog post was so important. After all, wouldn’t Google highlight the most relevant part of my blog in search results? Not quite.

This post will show you why meta descriptions are important and how to write effective ones. Before all that, though, let’s discuss what a meta description is.

What is a meta description?

A meta description is the snippet of information below the blue link of a search result. Its purpose is to describe the contents of the page to the searcher.

Any words that match the search term are bolded in the description. The end goal is to convince and persuade the searcher to click through to your website.

Here is an example of a meta description as it would show up on a search engine results (SERP) page:

example of a meta description on a serpNotice that, because the query is “What is inbound marketing?”, the two words are bolded in that meta description.

Also notice how the meta description gives a clear and concise snapshot of the topic, which signals to the reader what they can expect.

To remain visible within Google, you should keep your meta descriptions somewhere between 140-160 characters in length.

Why are meta descriptions important?

Meta descriptions are important because they let Google know what your webpage will be about. If Google can read and comprehend the content of your meta description, they will have an easier chance of ranking your page to answer search queries.

🧡 TL;DR: Meta descriptions increase organic traffic and bring more eyes to your webpages.

If you don’t include a meta description, Google will display a snippet of text from the first paragraph of your page. If there’s a search keyword in that text, it’ll be bolded. While this isn’t a bad thing, not including a meta description means missing out on the chance to personalize the message you deliver to browsers.

Meta Description Examples

Meta descriptions should be quick, one- to two-sentence summaries of the content within your web page. They should tell the reader what they can expect to find after clicking on your link. For example, here’s a meta description for a data-driven marketing report:

1651144966 802 How To Write Meta Descriptions

This meta description accurately describes what will be found in the report, who is presenting the information, and why the content will be helpful to readers. If browsers were typing in queries such as, “SEO trends in 2021,” it’s likely that this meta description will appear in their results.

Meta descriptions follow a few simple rules: They’re short, descriptive, and use keywords. But after that, you have free reign to play around with what they will say. Use this to your advantage when you’re creating your meta description:

Screen Shot 2022-04-13 at 4.21.44 PM

If you know that your webpage will present content that’s usually considered a bit dry, the way to engage browsers is to make a compelling meta description, like the one above.

Readers often check only the first page of results for their search queries. Because of this, where you rank on a webpage matters. Even though meta descriptions aren’t the be-all, end-all that determines your rank, (you’ll want to fully optimize On-Page SEO for that), they sure do help.

A great meta description has the potential to appear on the first page of results, and a great one might even be first, like this example below:

real estate search results

The meta description told Google how their page will fix the challenge of the query.

Now, you may wonder if there’s a secret key or formula to writing a perfect meta description, besides the rules above.While the secret key hasn’t been located yet, there are some tips and tricks you can follow when writing your meta description. Let’s talk about a few, next.

Meta Description Tips

Google suggests that a meta description should tell users what that web page is about. Based on the information in a meta description, the search engine ranks results on relevancy.

Think of meta descriptions as a pitch for your webpage. Communicate why the page will be helpful to the reader, and make sure it accurately reflects what’s on the page. If a reader doesn’t find what the meta description promises, they’re probably going to click away.

Let’s get into some tips for writing an amazing meta description.

1. Answer the question.

It’s likely that people are on Google searching for an answer to a question. Try to get into their heads and think about what they’re looking for that your content can help with.

Use your meta description to answer that question with a solution or benefit. For example, let’s say your web page provides readers with a free template for writing standard operating procedures.

The question audiences will most likely Google is “What is an SOP?” Your meta description, then, should tell readers that they can use your guided template to learn how to write one. For instance, this would be my meta description if I were to write one to answer this query:

💻“Learn everything there is to know about writing a standard operating procedure (SOP), and find out how to write one that’s amazing.”

This meta description answers the question and provides a little detail about the rest of the contents of the post.

2. Mention a solution to the challenge.

Provide a solution to the challenge your readers are looking to solve. For instance, if you’re writing a blog post that’s a listicle roundup of helpful CRM software, mention how many items are in the post and why that post will be valuable to readers.

If I were to write a meta description for a roundup, in this case, I would go with something like this:

💻“Discover the 15 best CRM software options for your small business and learn why they’re great for simplicity, customer retention, and organization.”

Remember, meta descriptions are the elevator pitch of your page — sell the content of your post in a way that will get readers to click. This description tells readers how many options they will read about and why they’re important to know.

3. Keep the description concise.

The body of your page is where you’ll educate your audience, so the meta description doesn’t need to be lengthy. Provide a quick summary of the page — or the point of the page that will stand out to readers. Meta descriptions should be under 160 characters long.

A good way to check the length of a meta description is to draft a tweet. Twitter limits you to 280 characters and lets you know when you reach your limit:

meta description tweet checkIf your description fills more than half of the circle in the tweet box, you should think about trimming it down. Meta descriptions should serve as a snapshot, not the body text of the post — save that for when the readers access your page.

4. Don’t overuse the keywords.

While your meta description should have keywords, it also should read naturally to the reader. If you overuse keywords just to get a high rank, readers might not understand your meta description. A tough-to-follow description could turn a browser away from your page.

For example, let’s say your webpage is delivering a content offer for interview materials and the primary keywords are “interview success,” “tips for great interviews,” and “interview preparation.”

You could write a meta description that reads along the lines of, “An interview success offer that’s free to download to be successful in preparing for interviews.” However, this reads a little clunky and is hard to follow, right? Instead, try going with something more smooth:

💻“Learn the tips and tricks for acing interviews with this downloadable job seeking kit.”

This description still uses two keywords but also makes sense to the reader and gives them the background information they need to know how that offer page will help them.

5. Be engaging and unique to readers.

If you can, make your meta descriptions fun and engaging to read. Something eye-catching that will stop the reader from scrolling through a SERP. This is especially helpful if your webpage content is meant to be engaging and unique.

Match the tone of the content in your meta. Let’s say the content for your webpage is a blog post about funny workplace memes. Your description of this could be straightforward and accomplish everything a meta description should, such as, “These 20 workplace memes are funny, timely, and shareable.”

A description like that covers all of your bases, but it leaves the personality out. The post sounds like it was fun and interesting to put together, so that shouldn’t stop with the body text! Instead, try this more compelling approach:

💻 “Brighten your work day with these fresh, fun memes that any professional can relate to. Cat videos, anyone?”

A description like that sells your content, tells readers what they can expect, and still manages to be interesting in just two sentences.

6. Entice readers with a call-to-action.

If you want to persuade the reader to take action — or create a sense of urgency — try tacking a call-to-action at the end of your description.

Let’s look at this example from Neil Patel:

Screen Shot 2022-04-13 at 3.51.52 PM

There are plenty of CTAs to choose from — for example: Learn More, Sign Up Today, or Start a Free Trial. Context matters here, so choose one that works with the content you’re providing.

7. Avoid duplicate meta descriptions.

While Google won’t actively penalize you for duplicating the meta descriptions on your site, it’s still bad for SEO. Why? If you have too many identical descriptions, search engines may flag some of your content as low-quality or redundant, thus impacting your ranking.

Instead, make it meaningful, easy to understand, and descriptive — like it’s an elevator pitch for your blog post.

Back to You

Your meta description is your chance to win over readers. Be sure to create an engaging meta description for your website that persuades people to choose your content first. After all, if your webpages are made to be helpful and valuable to browsers, so should the content that’s describing it.

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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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