MARKETING
How Content Marketing Fits Into Web 3.0 (You Might Be Surprised)
You can’t throw a rock these days and not hit a media site capitalizing on some primer on defining Web 3.0 (or Web3), NFTs, metaverses, and what it all means to marketers.
Go and read them. Most are pretty good. If you need some direction:
Spoiler alert: Web 3.0 has more kinship with content marketing than traditional brand and direct marketing and advertising. In fact, Web 3.0 may just be the evolution of content marketing.
Web 3.0 has more kinship with #ContentMarketing than traditional brand marketing and advertising, says @Robert_Rose via @CMIContent. #Web3 Click To Tweet
Let’s dig in a bit.
Evolution of a strategic marketing function: content to owned media to Web 3.0
In the earliest days of modern content marketing (2008-2009), Joe Pulizzi and I said that the content approach to marketing wasn’t new. It had just found its time.
The oldest content marketing examples include John Deere’s Furrow Magazine, Michelin Guides, and Benjamin Franklin’s Poor Richard’s Almanack, which promoted his printing business.
Most of these great examples were from brands looking to launch a new product or engage an existing customer base for loyalty. For example, looking at the history of content marketing, you’ll see so many customer loyalty magazines, employee engagement magazines, and content designed to teach customers how to use innovative products (Jell-O’s recipe book, for example).
In the early 2000s, content marketing evolved from side projects or campaigns to become a continuing and strategic business function. The trigger for this change was the expansion of the first disruptive Web 1.0 technology – web search.
The power of search engines forced product and services brands to become functionally competent at developing owned media properties. That enabled businesses and customers to circumvent traditional media and develop direct relationships.
I highlight that development because elements of Web 3.0 will prompt a similar trend.
Web 3.0 isn’t new – it’s just time
Early concepts of the metaverse date back to the early 2000s. The virtual Entropia Universe featured some of the first sales of digital property (what we call NFTs today). In 2009, a club in the Entropia Universe sold for more than $600,000 – the largest virtual world object ever sold at the time.
The marketing hype around virtual currencies goes back to 1999 with Beenz and Flooz (yes, those are real names). Beenz positioned itself as “the web’s currency.” The site paid people in “Beenz” for doing things such as viewing ads or signing up for a service. The company raised nearly $100 million and is considered one of the greatest dot-com disasters of all time.
Beenz launched around the same time as Flooz, a virtual currency startup (promoted by actress Whoopi Goldberg) that used its internet currency as a loyalty program to internet merchants.
Watching Flooz ads with Whoopi puts in perspective some of the current crypto platform commercials featuring Tom Brady and Matt Damon.
Web 3.0 concepts in the early 2020s are like content marketing concepts in the early 2000s. The ideas aren’t new, but they may transform into solid business strategies because technology has caught up enough to make these concepts useful.
Web 3.0 ideas aren’t new, but they may transform into solid business strategies because tech has caught up to make earlier concepts real, says @Robert_Rose via @CMIContent. #Web3 Click To Tweet
But it’s very early. So, take the view many adopted in the early 2000s toward modern digital marketing, content, and SEO. Pay attention. Learn. Evolve. But know that nonsense abounds.
Web 3.0 opportunities for content marketers
We’re living through the earliest stages of a seismic transition in computing and virtualized digital connections. Web 3.0 technologies almost certainly will impact the way consumers experience, consume, transact, and behave.
The early promise of Web 3.0 echoes content marketing. Why? Web 3.0’s first iterations are about how people acquire and share content as a social signal, join virtual communities, and ultimately co-create valuable customer experiences.
In marketing, Web 3.0 may bring immersive participation and intelligent peer-to-peer transactions to the customer experience approach. It represents a potential power shift in allowing consumers to control their personal data.
Here’s what that means. As Web 3.0 technology emerges, you can start to envision how a consumer might use a digital wallet to store not just cryptocurrency but also personal information (name, email address, company, location, etc.). Consumers could share access to that data with any company they desire without handing over the actual data. And they could revoke that access any time they want.
In Web 3.0, envision how a customer might not hand over their personal information but give access to that data in their digital wallet, says @Robert_Rose via @CMIContent. #Web3 Click To Tweet
Your marketing database, then, would consist of dynamic access to tens of thousands of wallets rather than tens of thousands of static entries in a database. You’d retain the ability to target content experiences based on correct data because consumers would have every reason to keep their data current. However, the consumer also would be empowered to revoke that access (i.e., opt-out). Retaining the relationship would require delivering great value.
You can see how content-driven marketing experiences might evolve from paid, shared, and owned media platforms. In Web 3.0, the consumer (not the brand or marketer) controls the connection, which allows the relationship to extend across all the platforms they use.
How blockchain fits into content marketing
Blockchain technology enables these new decentralized capabilities for new customer experiences. It supports direct peer-to-peer transactions without a centralized service provider to facilitate them. You can already see this happening across the web:
- Decentralized finance decreases the requirement for banks.
- Decentralized commerce reduces the need for centralized cash register providers.
- Decentralized media networks decrease the dependence on social networks as virtual gathering points.
- Decentralized content, marketing, and advertising fundamentally change the digital relationship between customers and businesses.
I call this the “tokenized customer experience,” or “tokenized CX.”
Tokenized CX is just content marketing evolved
The mantra of marketing and customer experience is to “deliver the right message to the right person at the right time.” To know all three components typically requires businesses to track the consumer’s identity and their content behavior.
Marketers may soon be able to issue “tokens” (or smart contracts) powered by blockchain technology to enable more automated, secure, and trusted customer experiences.
These tokens can enable any transaction involving digital artifacts (including ads, downloadable assets, subscriptions, or access to communities). They empower consumers to help shape their experience and enable marketers to do that without surveillance-style efforts.
And they enable marketers to develop more creative content and marketing experiences. Brands such as Timberland and BMW have launched virtual worlds. Other brands have begun to create experiences within existing virtual worlds. For example, JP Morgan set up a virtual lounge within the Decentraland metaverse platform.
The kicker? In all these early entries, the scope is almost entirely a content marketing approach.
Timberland describes its virtual world as a “vibrant tour of the brand’s history via a mix of storytelling, art, music, and characters.” The company declares, “(T)his is not a game; it’s a story.”
The BMW virtual world is an education and thought leadership platform, creating an engaging way to learn about “electric mobility, urban mobility, and sustainability.” And the JP Morgan virtual lounge (for now) is simply a place to see presentations on the crypto economy.
Sound familiar? Each approach delivers a new content marketing experience.
Tomorrow’s content marketing and Web 3.0
These are the earliest days of Web 3.0 technology’s impact on the customer experience. Anyone who says they have it all figured out – whether they declare it the biggest scam or the biggest revolution – is likely wrong. No one knows.
In the Content Marketing Institute’s early years, I often said content marketing was still in the first inning. Web 3.0 is still in spring training.
The early days of Web 1.0 were all about pages, emails, blog posts, and downloads of documents through a browser. So marketers needed to focus on publishing content. Lots of content. Marketers needed to answer every customer question, provide a deep repository of knowledge, and make everything easy to find through commercial search engines.
Web 2.0 pushed marketers to create responsive (and contextual) approaches to delivering the right content throughout the customer journey. For the last 10 years, marketers have worked toward targeted one-to-one conversations and a 360-degree view of their audiences.
Along the way, data started to outshine content. The focus shifted from creating findable content to finding intent signals that let marketers anticipate needs and engage with people more effectively.
As data becomes more precious and content marketing becomes a more sophisticated business function, things are about to change again. How they’ll change remains a question.
Political, economic, environmental, and even social challenges may affect Web 3.0’s development.
But if it continues to develop along its current trajectory, expect a customer experience evolution based on tokenized CX. Empowered consumers will shape products or services as they interact with brand experiences. Marketers may develop a co-creation relationship with audience members and customers.
Put simply: Marketing in Web 1.0 helped customers FIND something better. Marketing in Web 2.0 helped customers EXPERIENCE something better. The promise of marketing in Web 3.0 is to help customers CREATE something better.
We’re not there yet. But pay attention. It will be an interesting ride.
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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