MARKETING
How a Dr. Seuss Story Can Help You Not Be Afraid of ChatGPT
The chatter about ChatGPT in marketing and content doesn’t slow down. Generative AI and content creation have garnered attention as one of the most disruptive technologies since the advent of social media.
Passionate debates go around the benefits, threats, and abuses that AI-created content provides to marketing departments. But a more common thought I hear lately is that not today but soon, ChatGPT (or something like it) will reproduce “our voice” and create content every bit as well as you can.
This consideration comes not from the concern that artificial intelligence is blunt force “copying” work and spitting it out in some creative proprietary violation (though that fear exists). Quite the opposite, this idea seems rooted in the idea that the sophisticated technology will evolve its learning model into something capable of “speaking in the style of me” – as a person or a brand.
Is it a good or bad thing when #AI content creators can speak in your brand’s voice? The answer depends on you, says @Robert_Rose via @CMIContent. Click To Tweet
Depending on your point of view, that idea might be a very good thing or a very bad thing.
Research assistant or a better version of you?
Let’s say you’re in charge of content and marketing for a big brand and want to create original media in the style and voice the brand has employed for years. You set the AI’s learning model to analyze the 30,000 documents in your content management system so AI can start producing new content just like what you’ve been publishing.
Now, before you @ me with “LOL, have you ever seen our content? You’re kidding yourself. If you expect a common style or tone from our stuff,” know that I’m with you. Finding a common voice itself is a tall order. But stay with me for a minute because this goes to the source of the fear that the AI can outdo you.
One prominent author shared that ChatGPT’s learning model grasped their voice in the resulting text after the prompt asked it to write “in the style of (author’s name).” This author didn’t feel threatened, saying the AI result was on par with what a good research assistant might provide but nothing they would send to the world.
But another author I spoke with said the opposite. He feels the technology might improve to the point where the AI-created content is indistinguishable from theirs. He worries about a day when they might be rendered useless because the AI could get his “thinking” without his involvement.
My take: Don’t worry. But assume that day AI can translate voice and style is already here.
Assume the day #AI can translate voice and style is here. What do you do now? asks @Robert_Rose via @CMIContent. Click To Tweet
Only you can be today’s you
In the book Happy Birthday To You!, Dr. Seuss (Theodor Geisel) wrote something you can learn to change your content creation strategy and (perhaps) assuage your fear of being replaced by AI. It all starts with how important you are today.
In the middle of the book, Seuss writes:
Today you are you! That is truer than true!
There is no one alive who is you-er than you!
Note the use of the word “today.” As Seuss says elsewhere in the book, “Today is your birthday,” and “if we didn’t have birthdays, you wouldn’t be you.”
Focusing on where you are today and creating content for tomorrow is where you can connect your differentiator as a human content creator to a machine that can never replace you.
Fearing #ChatGPT’s impact? Take inspiration from Dr. Seuss: Today you are you! That is truer than true! via @Robert_Rose @CMIContent. Click To Tweet
Let me explain. While people assume businesses of all sizes have a content strategy, most usually don’t. They may have marketing departments with team members responsible for content. Some of those may have gone the extra step and put in standard guidelines for tone, voice, keywords, etc. Some even have (ugh) service-level agreements with their business on the quantity of content they will create. These things do NOT a content strategy make.
Few have established a real, functioning content strategy – a repeatable and consistent process for how content should be translated from ideas to creation, production, and publishing.
Marketing departments without a real strategy point to all the existing content they’ve created and say, “See, we’ve produced a ton of content.” But they cannot tell at any moment why or which ideas will be prioritized (or are even important) that will become content in the future. They cannot know how those ideas should be expressed as experiences or when they will be written down. In other words, these businesses only understand what the company has said – they lack any insight into what it is going to say. At best, they point to their existing repository and say, “We’ll produce more of like what we’ve already produced.”
That limiting view is the reason that AI looks scary. Why? Because AI can already produce more content that matches what you already produced.
Those who do not fear AI’s impact on content marketing do more than identify the responsibilities of marketing and content creators. They build processes that elevate planning, prioritization, collaboration, and creativity in the business strategy. Every content marketing strategy needs a planning and prioritization step – determining what the teams will be tasked to create – if only so the team can pivot and materially change direction into some new style, tone, topic, or creative direction.
AI cannot out-create your best creator, nor can AI out-you you. Because only today’s you can change tomorrow’s you. As Seuss puts it so perfectly when talking about the importance of you on this day:
Or worse than all of that … Why, you might be a WASN’T!
A Wasn’t has no fun at all. No, he doesn’t.
A Wasn’t just isn’t. He just isn’t present.
But you … You ARE YOU! And, now isn’t that pleasant.
AI is a Wasn’t. It’s a reflection of what is. It’s not present. It’s not the future. Your and your content’s existence are the only things that can fuel artificial intelligence to produce more like you or your brand. That’s occasionally useful, but it’s not what makes you so. You are useful because you are you. Today.
It’s your story. Tell it well.
Get Robert’s take on content marketing industry news in just five minutes:
Watch previous episodes or read the lightly edited transcripts.
HANDPICKED RELATED CONTENT:
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.”
-
SEO7 days ago
How to Estimate It and Source Data
-
SEO6 days ago
Yoast Co-Founder Suggests A WordPress Contributor Board
-
SEO5 days ago
6 Things You Can Do to Compete With Big Sites
-
WORDPRESS2 days ago
WordPress biz Automattic details WP Engine deal demands • The Register
-
SEARCHENGINES4 days ago
Daily Search Forum Recap: September 30, 2024
-
SEO7 days ago
9 Successful PR Campaign Examples, According to the Data
-
SEARCHENGINES6 days ago
Google’s 26th Birthday Doodle Is Missing
-
SEARCHENGINES5 days ago
Google Volatility With Gains & Losses, Updated Web Spam Policies, Cache Gone & More Search News
You must be logged in to post a comment Login