MARKETING
What you believe about content creation is wrong
Here’s the Romantic Lie of content:
Creativity is the ex nihilo product of a singular human mind.
“Ex nihilo” is Latin for “from nothing.” It’s the idea that creative ideas spring forth, unbidden and spontaneously, from a single person’s mind. They need no help, no support, no details—just glorious content, pouring out like the mighty Nile.
I maintain that Hollywood has drilled this into us. Look at the classic Mad Scientist trope—Doc Brown, Doctor Frankenstein, Tony Stark. They’re always men, always working alone, always coming up with amazing ideas from nothing but the brainwaves pounding back and forth inside their own skulls.
Mike Monteiro, in his book, Design in a Job, parodies this idea in the opening pages:
In this beautiful myth you are what is known as a “creative.”
While others are weighed down by requirements, metrics, testing, and other variations of math and science, you are a child of magic.
Knowledge of these base matters would only defile your creative process. Your designs come from inside you.
This, of course, is ridiculous.
Content creation is hard. It’s painful. It’s full of stops and starts and rewrites and profanity and throwing things while pacing back and forth wondering why you didn’t just become a damn accountant like Mom said you should.
Sportswriter Walter Winchell once said, “Writing is easy. You simply sit down at the typewriter, open your veins, and bleed.”
Here’s why this matters:
Our refusal to admit how creativity actually works has prevented us from supporting our content teams like we should.
Yes, managers and directors, I’m taking to you. You probably don’t support your creative teams as well as you should, because you don’t understand what it takes to create great content. You try to hire “children of magic”—people you think will embody the Romantic Lie. They have something special that enables them to set the keyboard on fire from the sheer friction of their mighty keystrokes.
We don’t like the thought that content creators need platforms and process. There’s something so deeply unglamorous about it. Process is for developers and people in finance. Trying to bind a content process into any type of structure will just destroy it. So we continue to believe the Lie and hope for the best.
But here’s what content creators actually need:
- Platforms: They need a place to “meet,” a place to store their work; they need an atelier, a workshop, a virtual gathering spot to concentrate their collective activities.
- Process: They need to know how content gets from their fingertips to some production artifact; they need a distinct lack of surprises; they need scheduling and repeatability.
- Feedback: They need a way to get their content in front of a larger group of people and organize their critiques.
- Intake: They need a way to take in ideas from the larger organization, parse them, discuss them, and combine them. Consider that two people inside your organization each have one half of a great idea—how you find them and combine them?
- Context: They need a way to frame their immediate work into the larger, evolving body of content from the organization—do they fit into the big picture, and how does their content relate to the larger message?
I know, I know, it sounds boring.
But there’s the truth: content creation should be boring. And by that I don’t mean tedious or unrewarding. I mean, the details should be boring like a trip to the dentist is boring. Consider that no one wants an “exciting” trip to the dentist. If someone comes home from their dental appointment talking about how “exciting” it was, you can bet they have problems. The best dental appointment is the one you have no memory of.
There’s a great documentary on YouTube called Saturday Night. It was filmed by James Franco back in 2009 (as an assignment for his NYU film class), and it follows the creation of an entire episode of the sketch comedy show. It starts with the cast and writers meeting the host (John Malkovich) in Lorne’s office on Monday, proceeds through the table reads, the planning sessions, the rehearsals, the set building, the dress rehearsal, and finally, the actual show.
SNL has this image of being a wild, chaotic bastion of free-spiritedness, but when you can watch what happens behind the scenes, others adjectives emerge: Structure, Process, Control, Predictability.
And episode of SNL is not an accident. It’s a tightly-structured, known, predictable flow from start to finish. Sure, writers and cast members have space to go a little crazy, but within limits. They have “gates” that they have to get through. You can stay up all night consuming any substance you want while you and your buddies dissolve in laughter while writing a sketch, but you know that the table read is Wednesday, and you better be ready to throw down.
Content creation is equal parts inspiration and procedure. You need to create amazing stuff, and complete a bunch of annoying little details to get it out the door. Make those details as boring and predictable as possible.
Back to Monteiro (emphasis added):
A magical creative is expected to succeed based on instinct, rolling the dice every time, rather than on a methodical process that can be repeated time and time again.
“Methodical.” To most, the word sounds incompatible with “creative,” and that simply has to change.
As a content manager, your goal is to create a steady stream of good content to support your organization. To do this, you need tools, platforms, and process. If you think those are just for developers or accountants, then you need to reorient your thinking.
In the content space, these tools are generally known at Content Marketing Platforms (surprise—we sell one). These are systems that help manage the creative process. They provide things like:
- Idea intake
- Editorial calendaring
- Content creation environments
- Approvals and workflows
- Library services
You know, the boring stuff—the stuff that you need to take off the shoulders of your content creators to free them to be more creative and more innovated, unencumbered by having to reinvent the wheel every. single. time.
Your team wants to be creative. They want to make amazing things. But too often, they’re saddled with a vague process through which they have to hack their way… every. single. time.
The path from idea to artifact shouldn’t be hard to navigate. Too many great ideas get lost on the way.
Interested in learning how Optimizely Content Marketing Platform can better support your content creation process? See how it works in this quick video.
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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