MARKETING
The Empowered Business Buyer Is a Myth [New Demand Generation Research]
One of my favorite scenes in a movie is from Men In Black. Jay, played by Will Smith, is a new “man in black” and has just dealt with his first aliens. He asks his boss Kay, played by Tommy Lee Jones, why they don’t just tell the world that aliens exist. Kay says humans simply couldn’t handle it. Then, he adds this:
Fifteen hundred years ago, everybody knew the Earth was the center of the universe. Five hundred years ago, everybody knew the Earth was flat, and 15 minutes ago, you knew that humans were alone on this planet. Imagine what you’ll ‘know’ tomorrow.
He perfectly encapsulates that even though we humans can intellectually comprehend something new, it’s often difficult for us to take it in and make rational changes.
What do we know about business buyers
Today, many B2B businesses think an asymmetric relationship exists between their companies and potential customers. They perceive the buyers are in control and armed with more and higher-quality information than ever before. They see the prevalent research that says 47% of B2B buyers consume three to five pieces of content before engaging with a salesperson and 90% of buyers won’t take a cold call.
Many #B2B marketers perceive the buyers are in control and armed with more and higher-quality content than ever before, says @Robert_Rose via @CMIContent @Vidyard. #Research #DemandGen Click To Tweet
Marketers conclude the modern empowered buyer and their preference for self-service knowledge should be the center of the buyer’s journey conversation. Sales teams provide the differentiating product features and ensure that the company is positioned as the best supplier of such research and information.
Then, demand generation teams distribute thought leadership and product/service information to websites and resource centers. These teams vow to become buyer-journey-focused. They use all their energy to dump mountains of research, data, and information and become the first available answer to why should we change?
They seek to meet their mission: To generate demand.
There’s only one problem: Many of today’s buyers are not empowered, and what’s more, they have little interest in being so.
Many of today’s buyers are not empowered and have little interest in being so, says @Robert_Rose via @CMIContent @Vidyard. #Research #DemandGen Click To Tweet
Just imagine what you might know tomorrow.
Myth of the empowered buyer
Five years ago, research from CEB (now Gartner) illustrated that buyers are “deeply uncertain and stressed.” Yes, modern research concludes buyers are self-directed. But the follow-up question we marketers should ask is why are they self-directed?
Increasingly, it’s because their organizational leadership assumes all information they need is readily available. It’s just a “Google search away.” Thus, these managers are under increasing pressure to self-educate and become subject matter experts.
Yes, almost two-thirds of buyers are now likely to be part of a buying committee of four or more people, according to Gartner. However, as marketers, we must again ask – why? One of the prevailing answers is they are dying to speed up the long, complex acquisition process. To do that, they divvy up rationalization arguments for purchasing a product/service. As Brent Adamson, principal executive advisor at Gartner, says:
In many ways, the single biggest obstacle to purchasing today is a buying problem that has nothing to do with the supplier at all.
Put simply, there are reasons why today’s buyers perform so much online research before talking with a salesperson. They usually don’t know what they’re looking for, where to get it, or whom to trust when they do.
Is it any wonder that so few buyers want to talk with a sales rep first? They’re already worried they haven’t gathered enough information and education they can trust. They have no time for people who will distract them from that task and simply offer more information that they don’t know if they can trust.
Further, many demand generation marketers created an unintended result by providing more and more content focused on evolving a sophisticated argument about why a prospect should change. Buyers see the same point of view repeatedly but from different angles.
The buyers’ goal is to learn how to play chess. The demand gen marketers are bombarding them with points of view on the history of chess and why it’s such an important game.
This leads, as the Gartner research found, to “unproductive, open-ended learning loops by the deluge of information.” While providing more high-level educational and product-oriented content feels more customer-centric, buyers say it actually decreases their purchasing ease.
This process almost certainly doesn’t leave the buyer empowered or better enabled to make the best purchase. What’s the answer? What kind of content should demand generation marketers produce if more thought leadership, research, or product information isn’t helping?
New research for demand generation
Things are different in 2022. As we emerge from the pandemic-related disruptions, marketers are moving back into familiar habits. We, once again, are getting comfortable with what we know to be true.
In our 2020 version of this research, reported on in a market brief titled, Architecting Desire: Connecting Content Marketing Experiences to Generate the Best Next Steps Along the Buyer’s Journey, CMI recognized the difficulties of remote work, challenging economic conditions, and the waterfall of negative headlines.
This newly released 2022 report, Challenging the Myth of the Empowered Buyer, based on CMI’s 2022 Content Marketing for Demand Generation survey, sponsored by Vidyard, illustrates a return to some demand generation priorities of the past and recognizes (and challenges) the myth of the empowered buyer.
New CMI demand gen research illustrates a return to some priorities of the past and recognizes the myth of the empowered buyer, says @Robert_Rose via @CMIContent @Vidyard. #Research #DemandGen
As you’ll see, demand generation marketers still focus on top-of-the-funnel brand awareness but are also starting to recognize content should focus on making it easier to buy.
Demand generation teams are beginning to find better results by focusing earlier and later in the process and making it easier to purchase rather than pouring on more information to convince people to change. While generating awareness increased slightly (56% from 54%), consideration/intent dropped to 24% from 30%. And interestingly, late-stage doubled from 4% to 8%.
Big jump in account-based marketing
One of the more interesting findings in this year’s research is the jump in account-based marketing (+13 percentage points). While this increase was markedly more among enterprise companies (1,000-plus employees), it was also meaningful among smaller companies. More demand generation marketers are focused on creating valuable content for buying committees or teams that make decisions about solutions.
Today, in demand generation, content marketing is vitally important (and, in fact, has become more important over the last year, as our research found). So, if not thought leadership, research, or more product information, then what?
When we ask, “What business is the demand generation team really in,” we might note the myth of the empowered buyer. We might ask ourselves four clarifying questions:
- What if instead of seeing every prospective buyer or buying team as a highly informed expert looking for yet more requirements, alternatives, and other education, we see them as people eagerly looking to decide about a thing that they probably aren’t terribly passionate about? Instead of coming up with more sophisticated arguments to convince prospects to change, what if we created easier and more valuable methods of actually helping them understand how to change?
- What if we were more prescriptive and consultative about the entire buying process? What if the business enabled all kinds of frontline workers to help distribute education while exuding confidence, delivering value, and anticipating the needs of a buying group? Put simply: What if the demand gen team worked more with onboarding and customer teams rather than (or in addition to) industry subject matter experts.
- Can our companies evolve from a reactive “buyer experience myopia” to connected consultative experiences that make for new kinds of customer experiences? What if we did give away the best practices of how to implement, make the change, or deliver value – instead of teasing that our solution is a magic “black box” of unicorns and rainbows that creates satisfied customers on the other side?
What customers really want
Customers don’t buy products; they buy results. Professor Theodore Levitt taught us this. But the question is, what results? Building a strategic content operation that can better help our teams answer that question is the first step in challenging the myth of the “empowered buyer” into a more expansive and differentiated consultative experience.
Get more insight and survey results; download Challenging the Myth of the Empowered Buyer based on CMI’s 2022 Content Marketing for Demand Generation survey.
Want to dive deeper into demand gen? Join us online May 18 and 19 for the Demand Generation Summit. Sessions cover video for conversions, content as fuel for demand, first-party data, agile marketing, personalization, and more. Sign up free.
Cover image by Joseph Kalinowski/Content Marketing Institute
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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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