MARKETING
Why You Should Press Pause on Your Content Strategy
June is the perfect time to reflect on your content and marketing strategy. What’s working? What isn’t? What needs to change going into the next season? What should we double down on?
But before you do. Take a deep breath. Pause.
Reflecting on anything in 2022 feels particularly challenging. COVID-19? Everybody’s got it. Global conflict? Almost as bad as can be. The economy? Slowing. Inflation? Rising. Ugly politics and unpopular decisions? Inevitable.
With so much negative news, it’s easy to make decisions around fear of loss rather than perceived gains.
It’s pretty much human nature.
It’s human nature to frame decisions around fear of loss rather than perceived gains, says @Robert_Rose. Is negativity affecting your #ContentStrategy? Via @CMIContent Click To Tweet
Losses distort gains
The concept of loss aversion describes how people feel the pain of losses more than the pleasure of gains. In other words, someone who loses $100 will lose more satisfaction than the same person would gain from a $100 win.
Loss aversion affects marketers all the time. You never send that “We’re going to unsubscribe you unless you opt-in” email for a simple reason: You’re more afraid of losing subscribers than you are excited about the possible increase in engagement levels.
A related theory, called loss attention, states that people tend to allocate more attention to a task or situation when it involves loss than when it doesn’t.
Put simply: When your attention is focused elsewhere, you might miss something. And most of us devote more attention to the places where we see loss.
Watch for the gorilla playing basketball
A light-hearted example of loss attention is the gorilla playing basketball video.
Researchers instructed viewers to count the passes made by the team wearing white. Afterward, they asked study participants if they’d noticed anything unusual.
Only 42% of the participants who counted passes made by the team wearing white saw the gorilla stroll through the middle of the game, beat its chest, and walk off. They put so much attention on avoiding the loss (failing to count correctly) that they didn’t notice something unexpected happening right before their eyes.
Now, I’m not suggesting that people should ignore these experiences or the world around them when reflecting on progress (or lack thereof) or making decisions.
Loss aversion and loss attention are natural human tendencies. In many instances, they’re good things. Loss attention can help with decision-making because it prevents us from seeing the “bright shiny object” that might otherwise distract people from the task at hand.
But raising your awareness of these concepts can stop you from overlooking progress you’ve made or failing to see what’s working despite current conditions and what’s failing only because of those conditions.
Don’t overlook what’s working in your #ContentStrategy despite current conditions – and what only failed because of those conditions, says @Robert_Rose via @CMIContent. Click To Tweet
Pause for focus
One tool that helps me balance is what I call a “pause for focus.” Sometimes I devote an entire week to this reflective period, and sometimes only a few minutes. I spend the time reframing what has happened, the implications of what happened, and how I get to change based on what happened.
I like using “get to” instead of “should” when it comes to change because it then frames change as an opportunity to do something new rather than to “fix” something perceived as broken.
My focus pause involves five simple questions. I take the time to write and really polish the answers.
- What are the three to five most significant areas of progress in the last [month, quarter, or whatever is the right time frame for you]?
- What are the biggest rocks in my way? Where am I stuck? Be specific.
- What are the top three actions I can get to take to become unstuck? (Doubling down or letting something ride count as actions.)
- What are the best-case and worst-case results for each of those actions?
- What is my biggest learning from the last [month, quarter, or whatever period you decided to reflect on]?
You won’t find the magic of this pause the first time you do it (though I still think you’ll find it helpful). You’ll find the real magic in the second, third, or fourth reflections as you assemble your answers over time.
Content marketing strategy checkup for 2022
Here are a few suggestions for topics and progress you might consider as you reflect on your progress, rocks, actions, and learnings:
- Are you building a content library or a content pile? You may create more content than ever before, but is your first thought leadership paper more valuable because the third, fourth, and tenth exist? Or are they all just random PDFs of thoughts no one evangelizes anymore? Are you building a webinar series in the model of a television network? Or are you holding random events about whatever you can gather?
- Have you architected and aligned points of view? Sure, you have editorial guidelines and brand guidelines, but do you have a consistent point of view across the business? Do you have thought leadership content that doesn’t share the same point of view or (worst) conflicts with the brand view?
- Are you creating content or filling containers? Is your content team built to help the entire organization communicate in a consistent, compelling way? Or are they simply filling containers (pages, posts, PDFs, podcasts, presentations) with words and pictures?
- Are you measuring both the denominator and numerator of content? You can measure content performance through visits, downloads, engagement, etc. But can you accurately measure the numerator – the costs, effort, and time that delivers that performance? And, finally, my tried-and-true favorite:
- If you stopped 100% of content production today (offline, online, editorial, marketing, advertising, product, and PR), who would miss it? Who would call, tweet, DM, or email to tell you they missed it?
If you stopped producing #content today, who would call, tweet, DM, or email to tell you they missed it, asks @Robert_Rose via @CMIContent. Click To Tweet
And now, the good news
Keep this in mind as you reflect on these questions: You’re not late.
As the saying goes, “The best time to plant a tree was 20 years ago. The second-best time is today.”
It’s the middle of 2022. So what if the best time for you to have made changes was six months ago? The second-best time is today.
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Cover image by Joseph Kalinowski/Content Marketing Institute
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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