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The Difference Between Content Marketing & Content Strategy (& Why You Need Both)

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the difference between content marketing content strategy why you need both via juliaemccoy

In a world where people pay money just to escape ads, content marketing allows you to connect with prospects organically.

If you’ve dabbled in it, you’re one of those who might have begun creating content and posting regularly on your blog.

Soon enough, you may begin noticing a few changes.

People are starting to engage with you.

You’re seeing growth.

But it’s not what you expected.

You expected to soar like other brands using content marketing, but instead, you’re stuck with mediocre ROI.

You’re spinning your wheels.

If this is you, you need to get clear on one thing:

Content marketing alone isn’t enough to build a powerful brand and real ROI.

You also need content strategy.

How Are Content Marketing & Content Strategy Different?

Content marketing and content strategy complement each other perfectly.

But they’re not the same thing.

Here’s what makes them different.

What Is Content Marketing?

Content marketing is simply the creation, publishing, and distribution of great content.

It works because it doesn’t directly sell a product or service.

For instance, look at this post from The Tony Robbins Blog:

Tony Robbins blog - great content example

As the title suggests, this blog is about strengthening relationships through learning how to apologize.

Taken by itself, the content doesn’t promote any service.

It’s simply a thoughtful, value-rich guide for people struggling with saying sorry.

This is an example of powerful content marketing.

Since the blog belongs to Tony Robbins’ website, it builds trust in readers and brings them closer to hiring Tony Robbins as their life or business coach.

Here are other resources you can find on the website:

Tony Robbins resources

As a whole, content marketing is organic marketing.

It involves giving value to people so they recognize your brand as a trustworthy solution to their needs and desires.

What Is Content Strategy?

Content strategy, on the other hand, is the foundation on which successful content marketing is built.

Think of it as a map. If content marketing is the journey toward brand success, content strategy is the blueprint that directs it.

So, how does content strategy work?

1. Content Strategy Answers the Question ‘Why’ You’re Publishing Content

Every piece of content you publish should be centered around a goal. And content strategy helps you determine exactly what your goal is.

For instance, you write a lead magnet to grow the size of your email list. You compose emails to gain clicks to your website. You write blog posts to establish authority in your industry.

All these pieces of content are created at the right time, set before the right audience, and then measured for success.

See how content strategy works?

With the right strategy in place, you’ll never again create a random piece of content that doesn’t get you closer to your content marketing goals.

2. Content Strategy Determines Who You’re Reaching with Your Content Marketing

Part of content strategy is finding out exactly who your audience is.

  • What are their major pain points?
  • Why are they reading your content?
  • How can your product or service help them improve their lives?

Imagine writing a letter to no one in particular.

No matter how beautiful the words you use are, your letter will lack real feeling and substance.

On the other hand, writing to someone you know deeply will make your words and paragraphs come alive.

Also, because you know who this person is, you know what he wants or needs to hear.

Here are a few tips for implementing your content strategy to speak to your audience.

  • Create content personas. Gather information about your audience and make fictional characters you can address each time you write content.
  • Remember the buyer’s journey. Your audience will be in either the awareness, consideration, or decision state when they read your content. You need to know what pushes their hot buttons in each one of these stages.

3. Content Strategy Is About Deciding What Kind of Content You’ll Publish

There’s a ton of different kinds of content you can publish online.

There are blogs, infographics, ebooks, podcasts, and social media messages.

What’s more, you can publish long or short content.

You can publish content on your website, on social media, or as a guest blogger on another influencer’s site.

Content strategy is taking a deep look into your brand’s needs and goals.

It’s finding out exactly what kind of content you need, where you should promote it, and setting a schedule to create and publish it.

4. Content Strategy Is About Deciding Who Will Create Your Content

If your company is small, you might have to write all your content yourself at first.

However, it doesn’t have to be like this forever.

As you grow, you can set a budget for high-quality content.

You can hire expert writers to keep your content flowing steadily.

You can hire a content manager to help you with your content calendar.

A content strategist is also an excellent addition to your team.

5. Content Strategy Is Setting Metrics to Measure Content Marketing Success

As you pursue your content marketing goals, it’s important to be aware of how well each piece of content you publish is doing.

For example:

  • Do your blog posts hold readers’ attention?
  • Are your emails gaining clicks to your website?
  • Are your case studies converting prospects into buyers?

Content strategy will help you answer these questions because as you work on your strategy, you come up with metrics to determine content success.

Some of these include bounce rate, time on page, and scroll depth.

Why Content Strategy Matters

Content marketing is good, but without content strategy, it’s like going on a trip without a set destination.

Without the right strategy in place, you’ll waste valuable time and energy writing content that’ll only earn you mediocre ROI.

On the other hand, when you use content strategy as the foundation and blueprint of your content marketing efforts, you’ll see amazing results.

Every piece of content you create will be a well-chiseled puzzle piece that helps craft your brand’s story and message.

More Resources:


Image Credits

All screenshots taken by author, February 2020

Searchenginejournal.com

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MARKETING

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.

(more…)

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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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