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Marketers: The metaverse is coming

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Marketers: The metaverse is coming

Don’t believe them when they tell you the metaverse is already here. What we do have is a swarm of virtual realities but they’re not yet connected. When they are, it will be possible to enter the metaverse.

What does the term “metaverse” mean exactly? It’s actually a 30 year-old term, first coined by science fiction author Neal Stephenson is his novel “Snow Crash.” It’s clumsily derived from the Greek, meta being a prefix meaning “beyond.” So beyond the universe? The trouble is, versus means “turn into” which makes perfect sense in the word “universe” — turn into one — but less sense as turn into beyond.

We turned to Tim Parkin, a marketing consultant advising his clients on how to prepare for the metaverse, for more clarity. “In reality, the metaverse is really undefined, it’s very ambiguous. Most importantly, it’s going to change. So what it is today will not be what it is tomorrow. That makes it a moving target.” Nevertheless, Parkin was willing to venture that it’s a whole new layer built on the infrastructure of the internet, opening “a new dimension of potential and possibilities.”

Essentially, the metaverse will take the digital environment many of us have been existing in for at least the last two years and upgrade it to a virtual-reality based imaginary world, creating many opportunities, including for marketers, as well as “some scary realities,” he said.

Anyone who has put on a VR headset understands what virtual reality looks like, but the metaverse, in concept at least, goes way beyond that. “If you think about the internet right now, it’s made up of a collection of servers and websites and different platforms and apps, but it’s all in the same sphere. With the metaverse, we can have this virtual reality experience together. It’s all happening in this giant sphere, this world where we can all co-exist an collaborate and participate in different experiences, adventures and communications.”

This doesn’t rule out hybrid use cases, Parkin explained. “You might be interacting through a physical environment as well. You might be in a grocery store and be able to interact virtually with people or order things virtually. It’s not just sitting at home with a headset on. You could be in the real world, but connecting it to the metaverse.”

Of course, the metaverse will be very firmly rooted in the reality of hardware. “We often forget that. It does depend on computers to run simulations, process transactions and render these worlds — and it is all connected to the internet. We’re not going to be escaping the internet; this is built on top of the internet.” And just like the internet, it won’t be owned by anybody. “That’s the beauty of it,” said Parkin, “but also the bad part. If nobody owns it, how do you police it?”

Web3 is often mentioned in the same breath as the metaverse. What’s the connection? “Web3 is this next level of the internet that incorporates blockchain and the idea of decentralization. By layering in blockchain we can track transactions and have a source of truth for everything that’s happening. The metaverse is separate, but there are opportunities to overlap Web3 and the metaverse.”

Some enterprises are already experimenting with aspects of the metaverse, but Parkin insists that the metaverse itself does not yet exist. “There are people working on experiences, but until we have consumers who can actually participate, I don’t see it right now existing, or even in then near future,” he explained. “We are still a little ways off of it being highly adopted and people doing anything of useful value inside the metaverse.”

How should marketers prepare for this strange future?

The metaverse may not be with us yet, but it’s never too early to start thinking about what it will mean. “I think there are three big things,” Parkin said. “First, keep an open mind. This is going to change. If you think back to the original internet with web pages and email and what those looked like, and compare that to today, it’s dramatically different. So don’t make any judgments about what it could be, because people will find value for it. It’s an exploratory process.”

Secondly, he said, look at what big brands are doing to prepare. “The Nikes and the Taco Bells, they have the resources and the necessity to be playing in the metaverse. Most companies don’t have the time or can’t afford to mess around with this, but the big companies that need to be constantly innovating or pushing the envelope, they’re going to be the ones exploring this.”

Finally, he said, go slow. “There’s a lot of hype and excitement and a lot of people think there’s going to be a first-mover’s advantage. This is not going to be as transformative as many people think in the next two to three, or maybe even five years . I would be very methodical and thoughtful about this and unless you’re a really big brand then you should not be pushing this very much. It’s nice to sit on the sidelines and watch, but tread very slowly and see where you can fit in, because this is very volatile and very risky.”

A big win for the gaming industry

In addition to watching what the big brands are doing, Parkin suggests paying attention to the companies that are likely to be supporting the metaverse, above all in the gaming industry. “There’s a company called Epic Games that has been around for a long time,” he said. “They are creators of many video games and the Unreal Engine,” an advanced 3D creation tool. “Epic Games will be a substantial player in the metaverse because the metaverse is essentially one giant video game world.”

The gaming industry will be ahead of the curve, Parkin predicts, because of their long experience with virtual worlds — just not connected. “The whole gaming culture is something marketers should really pay attention to,” he said, “because there are many things that will see new, but are just passé to the gaming industry.” Parkin confesses cheerfully to having a degree in game design.

Advertisers, of course, have already moved into the gaming space, displaying messages within virtual worlds and developing metrics to measure performance. “This is just bringing that gaming experience to a global world where we can socialize and spend time together, not necessarily in a gaming context, but there are a lot of underlying elements from gaming we can learn from.”

Read next: Marketers look to upgrade their 3D digital experiences as the metaverse approaches

Look out for dystopia

Guess what, there are huge potential downsides to all of this. The metaverse could turn out to be a bad place (yes, that’s literally what “dystopia” means). It’s not hard to see why. The potential harmful effects of social media, especially on the mental health of young people, have been widely discussed, not least because Facebook appeared to have concealed internal research on the harmful effects of Instagram. That’s just from looking at an app or a website, not being completely immersed in a reality, large parts of which Facebook, or Meta, will surely seek to control.

“Social media is a dangerous place,” Parkin agreed. “In the metaverse, wer’e removed another level from reality. You’re a character on screen, not a real person. There social dynamics we need to think about and prepare for.” Binge gaming was on the increase in 2021 with a third of gamers accustomed to playing five hours straight. It’s disturbing to imagine vulnerable people spending lengthy stretches as characters in an unreal world

“The dark side of this is interesting to think about,” said Parkin. “There’s a lot of bad activity that happens on the internet. A lot of people are focusing on the opportunities and positives of the metaverse, but there’s going to be a lot of deceptive and duplicitous behavior in this metaverse. It’s not all ponies and rainbows.”

One thing we can be sure of, the regulatory authorities will be left in the dust

About The Author

The holiday season is upon us
Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space. He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020. Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.


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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

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!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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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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