MARKETING
33 Emerging Technology Stats to Know in 2022
Many major emerging technologies in artificial and virtual reality are becoming more accessible, but are they worth investing in?
In this post, I’ve gathered TK stats related to emerging technologies and the impacts and potential impacts they can have on marketing and marketers in the near future.
Augmented and Virtual Reality
For years, researchers have said that virtual reality, which gives viewers an immersive and interactive 360-degree virtual experience, will hold the best opportunities for gaming, entertainment, and academic industries.
Experts have also thought that augmented reality, a partially immersive but still interactive experience, will thrive in the world of branding and marketing.
We have already seen some of these predictions come true, but both still have significant potential. Here are 16 stats that demonstrate the growth and opportunities of AR and VR.
- Consumer and enterprise virtual reality market revenue is expected to reach $6.71 billion by the end of 2022 and $12.9 billion by 2024. (Statista)
- Augmented reality, virtual reality, and mixed reality market size worldwide is expected to jump by more than 220 billion USD between 2021 and 2028. (Statista)
- 101.6 million people in the US will use AR in 2022. (eMarketer)
- 39% of media planners who use NFTs say they have the best ROI of any channel in their media mix. (HubSpot Blog)
- In a recent study, 33% of survey respondents understand the concept of the metaverse, 37% have heard of it but aren’t sure what it means, and 30% aren’t sure at all. (GlobalWebIndex)
- Over half of consumers are interested in participating in the metaverse, and 1 in 3 who haven’t heard of it still say they want to be involved.(GlobalWebIndex)
- It’s estimated that, by the end of 2022, virtual reality hardware and software sales will generate more than 6.4 billion USD in revenue. (Statista)
- 54% of people visit the metaverse to play games, 46% visit to virtually hang out with online friends, and 43% visit to virtually hang out with in-person friends. (HubSpot Blog)
- 36% of consumers interested in participating in the metaverse worry about how companies will use their personal data online. (GlobalWebIndex)
- Over the next five years, Gartner predicts that one in four people will spend at least one hour per day in the metaverse. (Gartner)
- Over the next five years, 30% of businesses will have some sort of product or service available in the metaverse. (Gartner)
- Over 1 in 5 people aged 24-54 are invested in crypto. (HubSpot Blog)
- People ages 18-24 are likely to buy NFTs to join a community. (HubSpot Blog)
- Deloitte’s 2021 Global Blockchain Survey found that 80% of participants say their industries will see new revenue streams from blockchain, digital assets, and/or cryptocurrency solutions. (Deloitte)
- Over 250 million Snapchatters use an AR feature on the app every single day. (Modern Retail)
- Creators on Snapchat have built over 2.5 million AR Lenses. (Modern Retail)
Artificial Intelligence
Artificial intelligence is so prevalent in 2022 that many of us don’t even notice all the ways we interact with iton a given day. If you’re less familiar with AI, here are eight stats to keep in mind:
- Gartner forecasts that the worldwide artificial intelligence software market will reach $62 billion by the end of 2022. (Gartner)
- The business value of AI will reach $5.1 billion by 2025. (Gartner)
- 52% of marketers prioritize implementing marketing automation platforms to enhance their marketing efforts. (Demand Gen Report)
- 17% of marketers currently use automation or artificial intelligence as part of their marketing strategy. (HubSpot Blog)
- 1 in 5 consumers uses live chat or in-app chat daily. (Vonage)
- 71% of consumers say they would be happy to use a chatbot if it meant an improved customer experience. (Conversocial)
- A Drift survey reported that 54.8% of B2B professionals across various industries say they receive a greater volume of high-quality leads with chatbot tools. (Drift)
- 61% of people globally believe that automation could put people’s jobs at risk. (PWC)
Voice Assistants and Smart Speakers
While voice assistants are technically a segment of AI, they’ve become so prominent in the emerging media world that they deserve their own section of stats.
- Statista predicts that the number of digital voice assistants will reach 8.4 billion units by 2024, which is higher than the world’s total population. (Statista)
- The total number of Amazon Echo users is more than double that of Google Home. (eMarketer)
- 123.5 million adults in the US will use voice assistants at least once per month. (eMarketer)
- Almost all voice assistant users use the technology on a smartphone. (eMarketer)
- By 2023, digital voice ecommerce is expected to triple to an $80 billion industry. (Juniper Research)
Smart Devices and Appliances
Smart appliances and devices have significant potential to impact marketing. Although the space is still young, it’s providing interesting opportunities to bigger brands.
As you can imagine, devices like smart TVs could provide great potential for content marketing and branded media. However, a more unique example of an appliance that could provide brand potential is a smart refrigerator.
“I’m excited to see how a smart fridge that can tell me when my avocados are about to spoil can be leveraged by a brand to give me information that might serve me in that particular information, says Amanda Zantal-Wiener, a senior content strategist who creates content for HubSpot that covers news and trends.
But, Zantal-Weiner’s excitement doesn’t end at smart-home appliances — she’s also fascinated by the world of smart cars.
“Until we start to see self-driving cars on the road, the idea of connected cars can also be used to help me do more than mindlessly scroll through my phone when I’m using a ride-hailing service, by serving as a distribution channel for real-time, relevant information during that trip. Everything is connected, and I’m excited to see which brands are able to adapt to that earlier on in a way that actually helps customers,” Zantal-Wiener explains.
Here are four key stats that highlight why you should keep these technologies on your radar.
- Smart home appliance user growth will more than double between 2020 and 2025, from 30.6 million to 64 million. (eMarketer)
- Smart TVs are the most popular smart home devices. (Statista)
- The average cost of a smart-home device is expected to drop by 52% by 2023 (Juniper Research)
- The percentage of US internet users using a smart appliance will increase to 21% by 2025. (eMarketer)
Navigating the Future of Marketing
Yes, creating voice assistant skills, leveraging AI, and building branded AR/VR experiences might be pretty inaccessible and costly to your company right now.
But, if you want to continue to innovate your brand or be a competitive marketer in the far future, you’ll want to keep up with how technology and marketing possibilities are evolving — you’ll be more prepared to adopt new technologies when they are accessible in the future.
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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