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MARKETING

What We Didn’t Expect from Our 2022 Content Performance Report

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What We Didn't Expect from Our 2022 Content Performance Report

During 2022, DigitalMarketer generated 181 articles, 101 podcasts, and 141 youtube videos for public consumption (we also generated over 1,000 gated videos but we won’t include that data here).

In our Content Marketing Certification we teach you how to build the Content Performance Report. The point is to allow you to assess the performance of all of your content using simple metrics, then use those metrics to identify potential opportunities for new content.

Surprisingly, the most consumed content was PODCASTS. Even though we produced less podcasts (101) than both articles (181) and videos (178), podcasts still accounted for 53% of total consumption.

Quick note that “consumption” for our content strategy is “views” for for video, “unique pageviews” for articles, and “downloads” for podcasts.

On average, each podcast was downloaded 2,491 times versus videos at 432 views, and articles at 781 pageviews.

The following is a breakdown of the top performing content DigitalMarketer produced in 2022.

The Best Performing Content

Here are the top performing pieces of content from each content type.

TOP ARTICLE: How Facebook Ads Are Changing In 2022
TOP PODCAST: Episode 231: Become A Certified Email Marketing Master
TOP VIDEO: Paid Traffic Mastery Certification w/Kasim Aslam

Top Performing Articles

The article titles cover a variety of topics related to digital marketing, advertising, and related fields. Some articles focus on specific tactics or strategies, such as Facebook Ads, email marketing, or content marketing.

Others cover broader topics like the skills marketers need to succeed or emerging trends like Web 3.0. Some articles also offer tips on building effective campaigns or optimizing sales funnels.

Overall, the articles provide a range of insights and advice for marketers looking to improve their skills and stay up to date with the latest developments in the field. Here are some possible patterns that could be found with these results:

Emerging Trend Articles

Several article titles mention new or emerging trends in the field of marketing, such as Web 3.0, post-digital marketing, and 2023 digital marketing trends.

Specific Tactics & Strategy Articles:

Many of the article titles focus on specific marketing tactics and strategies, such as Facebook Ads, email marketing, content marketing, and video marketing.

Skills Development Articles:

Several article titles offer advice and tips on developing marketing skills or building a marketing career path.

Optimization & Conversion Articles:

Some article titles focus on optimizing marketing campaigns and improving conversion rates, such as the Ad Grid and copywriting tips for sales funnels.

Common Mistakes Articles:

Two article titles highlight common mistakes that marketers make, such as the #1 mistake when running paid ads and the 5 mistakes that limit YouTube subscription numbers.

Social Media Articles:

Several article titles focus on social media marketing, such as tips for winning big on social media.

Time Efficiency Articles:

Some article titles offer time-efficient solutions for marketing, such as the 2-hour-per-month content marketing framework.

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Top Performing Videos

The content focuses on digital marketing, advertising, and business growth strategies. The titles are aimed at marketers, entrepreneurs, and business owners looking to improve their marketing skills and drive revenue growth. The videos cover a range of topics, from social media marketing and email marketing to paid traffic, digital retailing, and content marketing.

Some of the videos appear to be focused on providing specific tips and strategies, such as “How to handle sales objections” and “8 Tips for Writing Effective Email Marketing Subject Lines.” Others are geared towards offering more comprehensive courses or certifications, such as “Paid Traffic Mastery Certification” and “Become a Certified Email Marketing Master.”

The videos feature various experts in the marketing industry, such as Kasim Aslam, Ryan Deiss, and Jena Apgar.

Overall, the video titles suggest that the content is geared towards helping businesses and marketers improve their digital marketing strategies and increase their revenue through targeted and effective advertising.

Paid Advertising & Traffic Generation Videos:

Email Marketing Videos:

Social Media Marketing Videos:

Business & Growth Sales Videos:

Industry Insights & Trends Videos:

Content Marketing Videos:

Top Performing Podcasts

These podcast titles cover a wide range of topics related to marketing, business, and social media. Some of the titles focus on specific tactics or strategies for marketing and advertising, while others explore broader topics related to entrepreneurship and personal development.

The titles also vary in tone, with some being more straightforward and instructional (“A Sales System for All Personalities”), while others are more attention-grabbing and use humor or shock value to pique interest (“Using Poop to Create a Viral Marketing Campaign?”).

Overall, these titles suggest that the podcasts are aimed at entrepreneurs, marketers, and business owners who are interested in learning more about how to grow and scale their businesses, improve their marketing skills, and stay up-to-date on the latest trends in social media and e-commerce.

Advertising Tactics & Marketing Strategies Podcasts:

Personal Development & Entrepreneurship Podcasts:

Interviews with Successful Business Owners & Marketers Podcasts:

Social Media & E-Commerce Trends & Insights:

Creative & Unusual Marketing Tactics:

Podcasting tips and tricks:


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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.

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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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