MARKETING
4 Trends That Will Shape the Future of Your Content Program
No one needs a reminder of how hard it is to predict the future with any accuracy. Still, you probably feel pressed to try. After all, it’s your job to keep up with (or, if you’re lucky get ahead of) audience preferences and industry shifts.
That’s why CMI chief strategy advisor Robert Rose put hard questions about the future of content to a panel of industry leaders. Their conversation in a webinar offers a sneak peek at the discussions expected at ContentTECH Summit later this month.
Those he consulted for the informative discussion include:
- Peter Bakker, CEO and partner, Contrend
- Craig Bollig, DAM advisor, Orange Logic
- Jamie Gier, CMO, Ceros
- Jill Grozalsky Roberson, director, DX product marketing, Sitecore
- Brian Kavanaugh, director, global field and customer marketing, Bynder
What do they see in their crystal balls? Chaos (and potential) in the rise of citizen creators, personalization, experimentation, and a need to wrangle all that content chaos.
What’s the future of #Content programs? The rise of citizen creators, personalization, and experimentation create chaos – but also great potential, says @AnnGynn via @CMIContent. Click To Tweet
Citizen content creators rise up
At Ceros, Jamie Gier sees a future in the growth of citizen content creators based on what they’ve noticed in the last 24 months.
“The reality is now you can have somebody like me, who doesn’t have a design background, be able to create compelling content very rapidly and have the means to distribute it out into the universe,” they say.
People without design or marketing backgrounds can now create and distribute compelling #Content. That makes some marketers uneasy, says Jamie Gier of @Cerosdotcom via @AnnGynn @CMIContent. Click To Tweet
But not everyone embraces the citizen creator trend. As Jamie explains: “As more tools are available, I think designers and marketers start to worry about losing control over brand standards and design integrity.”
Bynder’s Brian Kavanaugh sees those concerns, too. The questions the trend raises, he says, include: “How is (the image) shot? What are our guidelines? Do we trust that it will be usable for the brand?”
Regardless, citizen creators won’t likely disappear – and they’re even influencing corporate design.
Craig Bollig of Orange Logic shared the story of a creative director who sees a shift from the “perfect look” once created and distributed by brands toward a more authentic look that appeals to the citizen creator world. “It could be user-generated or less retouching or time in the photo lab,” he says.
For example, Tesla often relies on Tesla owners/drivers to populate its Instagram stream with “homemade” aka UGC content, like this image of two dogs waiting in a Tesla while it charges. The animals aren’t easily seen or lit well, and the vehicle’s hood has streaks of snow, indicating someone might have brushed it off haphazardly.
“Unpolished content is the future,” Craig says.
Unpolished #Content is the future, says @CraigBollig of @orangelogic via @AnnGynn @CMIContent. #ContentTECH Click To Tweet
HANDPICKED RELATED CONTENT:
Content chaos increases
Embracing the rise of citizen creators doesn’t mean you can abandon detailed guidelines and processes. Instead, it requires a good balance. As Jamie advises brands to appreciate the fact that you can put creativity in the hands of all sorts of personas. Just make sure there are some integrity mechanisms in place so you don’t lose that.
Don’t forget, citizen creators may arise internally (from colleagues in other departments, teams, and regional offices) or externally (from audience members and customers). And that creates another challenge.
“For content to be everywhere on all of your channels, it first has to be all in the same place,” Craig says.
Often, that place is digital asset management (DAM) platform or system, but not every organization has one. Craig says he sometimes hears from marketers who have 15 different servers, and their employees don’t know how to find anything on any of them.
The starting place for solving this multi-symptom problem is to designate one home for creative content (Dropbox and Google Drive are NOT that place). “This is a huge step in the right direction, and you should celebrate that when it happens. Socialize it internally,” Craig advises.
For example, a single creative content source might help save a brand from conducting seven similar photoshoots around the world because no one knew about the imagery that already exists.
As your DAM system matures, think about verticals and themes like user-generated content. “There’s no way to accomplish that without governance around usage rights,” Craig says.
Often, that governance is a release form where the person who generated the content gives permission for the brand to use it. The release should detail the timeframe for which those rights are granted and include parameters for how the content can be used. To be effective, that permission document must be attached to the content.
“A hundred-plus people would want to use that (content.) How could you confidently say that image is usable without an original governance central source of truth?” Craig says.
A DAM can help organize the chaos.
While marketers may think about organizing brand content, Craig predicts growing requests from multiple departments and stakeholders for creative assets. “There’s always going to be a little bit of chaos. But it also is important to understand what those bottlenecks are, the challenges for other teams, and how a DAM can help,” he says.
Contrend’s Peter Bakker understands the challenges Craig raises. His organization often helps businesses structure or organize the chaos. “It’s amazing that even a large organization is so dysfunctional in this,” he says.
HANDPICKED RELATED CONTENT:
Experimentation and personalization reign
Sitecore’s Jill Grozalsky Roberson has seen a significant increase in the adoption of personalization and experimentation software over the last two years. “Organizations now are trying to get back to the pulse of the customer and understanding what’s working, what’s resonating,” she says.
And that doesn’t just require software. It requires a change in mindset. Jill advises content marketers to get comfortable with not having everything finalized and perfect to implement personalization.
“Personalization is almost like a form of testing … you’re delivering tailored content based on preference to see if it works. You’re not going to know 100% what the impact will be because it is kind of a test. That can be nerve-wracking.”
Personalization is a form of testing. You deliver tailored #Content to see if it works, but you won’t know for sure what the impact will be, says @Jgrozalsky of @Sitecore via @AnnGynn @CMIContent. #ContentTECH Click To Tweet
To become more at ease with personalization, Jill says to start small. Use what you learn to secure executive buy-in and investment – the two most common hurdles to personalization efforts.
“The more you can demonstrate that there is an impact for personalization, the more excitement there’s going to be,” she says. Then, you can scale the personalization.
Scaling up doesn’t mean you must make every piece of content personalized to every member of your audience right away. Instead, Jill suggests starting with one segment of your audience and then expanding from there.
Is it even possible to predict what will feel personal and relevant to an individual content consumer?
AI-informed tools can help you determine what formats and topics might work for a particular audience three-to-six months from now, Contrend’s Peter Bakker says. These tools predict the future based on the past behavior of this person or a similar audience.
Contrend’s tool, for example, uses a combination of inputs rather than a single measurement. It takes social, SEO, Google Analytics, and other factors to manifest a well-informed prediction.
But the tech doesn’t make the final decisions. “That’s always overlaid with a human eye,” he says. “There’s always someone saying, ‘Do we agree with what the platform is telling us?’”
#AI tools can help predict what content an individual consumer will want. But don’t forget the human review, says Peter Bakker of Contrend via @AnnGynn @CMIContent. #ContentTECH Click To Tweet
Focus shifts to value over volume
Ceros’ Jamie Gier says the 2021 Forrester B2B research found that the number of buying interactions jumped from 17 in 2019 to 27 in 2021 marking a new reality in which a more significant share of buying activities happen online.
“I don’t think that’s going to change even as the world opens up,” Jamie says. “We’re at a point where you need to be invited into the world of your buyers, and you want to make that visit worth their time.”
Putting control in visitors’ hands may be the answer. “We have to get to a place where we’re comfortable ditching to a large extent static content because that’s not what’s working to bring somebody into your story,” Jamie says
For example, Sephora uses quizzes to engage their buyers and personalize their shopping experience. Other organizations turn reports into interactive pathways readers can explore.
Emphasize content value over content volume, Jamie advises. When your audience values your content, they’re more likely to stay longer and connect with your brand.
“You’re competing for the minds and the hearts of your buyers,” Jamie says. “Make your content worth their while.”
Cover image by Joseph Kalinowski/Content Marketing Institute
!function(f,b,e,v,n,t,s)
{if(f.fbq)return;n=f.fbq=function(){n.callMethod?
n.callMethod.apply(n,arguments):n.queue.push(arguments)};
if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version=’2.0′;
n.queue=[];t=b.createElement(e);t.async=!0;
t.src=v;s=b.getElementsByTagName(e)[0];
s.parentNode.insertBefore(t,s)}(window, document,’script’,
‘https://connect.facebook.net/en_US/fbevents.js’);
fbq(‘init’, ‘1432232210459613’);
fbq(‘track’, ‘PageView’);
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
Google’s AI Overviews Avoid Political Content, New Data Shows
-
WORDPRESS7 days ago
5 Most Profitable Online Businesses You Can Start Today for Free!
-
SEARCHENGINES6 days ago
Google Shopping Researched with AI
-
WORDPRESS5 days ago
8 Best Banks for ECommerce Businesses in 2024
-
SEARCHENGINES7 days ago
Google AI Overview Ads, New Link Format, AI Organized Search Results & Plus More
-
AFFILIATE MARKETING7 days ago
Learn a New Language with This Fresh Approach
-
AFFILIATE MARKETING5 days ago
How to Choose Your Battles Wisely at Work
-
SEARCHENGINES5 days ago
Google Showing Competitor Ads Above Local Reviews
You must be logged in to post a comment Login