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How to choose a content marketing automation platform

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How to choose a content marketing automation platform



A 1917 poster says in bold capital letters: “I WANT YOU FOR THE U.S. ARMY,” along with the famous image of Uncle Sam pointing at the viewer.

In 1917, most advertising was blunt and direct, but in the following 100+ years, consumers have become desensitized to typical marketing strategies. As a result, companies have turned to new forms of marketing to reach their audience.

One of these forms of marketing is content marketing: an indirect type of advertising that delivers blog posts, podcasts, and other forms of content to indirectly market a brand to consumers. Today, businesses can automate many aspects of content marketing, and choosing the right platform for content marketing automation unlocks new efficiencies and return on investment for companies.

Key takeaways:

  • Content marketing is a powerful way to reach customers by providing value through content.
  • Automation makes content marketing efficient and convenient.
  • Optimizely can help you take your content management to the next level.

What is content marketing?

Content marketing is a new strategy for reaching potential customers by delivering content they want to consume. Content marketing improves the brand’s image by providing useful or entertaining content which builds goodwill and brand recognition among potential customers.

Content marketing takes many forms: podcasts, digital video, webinars, articles, infographics and more. Creating and delivering quality content is difficult because it must deliver on multiple levels: it must be useful, entertaining and informative, but it must also inspire confidence and credibility. In other words, quality content marketing must be both good content and marketing material.

Why would a company spend its marketing dollars on content marketing instead of more direct forms of advertising? There are several reasons content marketing is a good choice for companies:

  • Content marketing improves organic reach by delivering content that customers want to consume. This can range from entertainment like TikTok videos or online quizzes to more serious informative content like how-to guides and video conferences.
  • Content marketing inspires confidence in your brand by establishing your company as an expert and key player in your industry.
  • Content marketing improves goodwill by delivering personable, relatable content that meets customers where they’re at. Rather than trying to make customers interested in your company directly, content marketing capitalizes on the things your customer is already interested in.

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How to automate content marketing

AI can’t host a podcast or present a webinar (at least not yet), but automation plays an important role in content marketing.

Social media

Social media is one of the largest opportunities for marketers. Social media is the second largest market within the world of digital advertising, second only to search marketing. Content marketing is uniquely poised to cover both categories as it can optimize content for organic search results and social media sharing.

This is where automation comes into the picture: automation can’t take over your social media presence for you, but it can take on some of the most tedious and error-prone aspects of your digital presence. Some key ways you can automate your social media content marketing are by scheduling posts, connecting various social media platforms to publish content on multiple platforms at once, regularly sharing your content, automatically promoting content and more.

Recently, AI has taken significant steps forward in Natural Language Processing (NLP), which makes AI chatbots a powerful way to connect with users on social media platforms (as well as on your platform).

 

Email marketing

A fan of the television show Arrested Development would finish the phrase “The money is in the…” with “banana stand,” but experienced marketers know that the right answer is “the money is in the list.”

This popular phrase refers to the fact that email marketing is one of the most important aspects of a marketing plan, and a longer list of quality leads is one of the most reliable ways to grow sales. Email newsletters are one of the most popular forms of content marketing but sending email after email is a tedious and treacherous process as it creates limitless opportunities for human error.

Automation revolutionizes email marketing by automatically sending emails. With a customer relationship management platform, email automation can automatically send emails based on milestones and timelines and personalize emails based on the customer’s name and history. This level of personalization is difficult for small businesses and impossible for large ones, but with automation, it’s straightforward and convenient.

How to choose a content marketing automation platform

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Tracking performance 

One of the keys to marketing automation is tracking marketing communication performance. Marketers should be performing A/B testing to see which campaigns perform the best and merit further expansion, but tangibly measuring the outcome of these tests is difficult without the right tools.

Automation helps companies track the performance of their content marketing by collecting data from various platforms, bringing it all into one convenient place and providing metrics about the traffic and conversions coming from each piece of content. 

Features of the right content marketing platform

Harnessing the value of these powerful automation options requires a quality content marketing platform. The right platform should include some qualities that maximize its usefulness.

  • Flexibility. One of the essential functions of automation is the ability to share content on multiple platforms simultaneously. While this is already a powerful option, it becomes more powerful with a headless API that empowers you to deliver content on various platforms.
  • Personalization. 71% of consumers expect companies to deliver personalized interactions, and 76% become frustrated when companies don’t personalize their communications. The right content marketing platform makes personalization second nature with robust personalization tools that go beyond copy-and-pasting names. Content marketing platforms like Optimizely target personalized digital experiences to dynamic customer segments.
  • Capacity. Your business has unique needs, and your content platform shouldn’t hold you back. Rather than making your job harder, the right content marketing platform makes your job easier by offering a wide range of options and high-capacity storage for all your needs.

When it comes to content management, Optimizely is an industry leader. Optimizely’s advanced tools range from A/B testing, e-commerce support and headless digital experience management.

To learn how Optimizely can help you harness the power of automation and revolutionize your content marketing, request a meeting today to start the next chapter of your marketing journey.


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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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