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Customer Experience & Digital Experience

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Customer Experience & Digital Experience

Marketers will be engaging with more customers in three-dimensional virtual spaces next year. As the virtual ecosystem evolves, it won’t be limited to a single technology or walled garden. The rush to produce 3D experiences for consumers is already underway and set to mature in the coming year.

Shubham A. Mishra, CEO and Co-Founder of codeless AI infrastructure tech company Pyxis One, calls out VR and AR as the “next big things.”

“We are witnessing an increased pace of acquisitions of VR and AR startups, so it’s going to be interesting to see if, and how, brands incorporate AR into their marketing strategy,” Mishra said.

In 2021, the parent company formerly known as Facebook put all its weight behind a virtual reality experience for relationship building and customer engagement. It also rebranded its consumer Oculus VR headsets as Meta Quest

All the while, marketers who were well aware of the skyrocketing advertising rates on Facebook (Meta’s flagship social network) could see history repeating itself, as bricks were being laid for another walled garden, a virtual one which, instead of “metaverse,” could be more accurately described as a “Zuckerverse” after Facebook founder Mark Zuckerberg.

But, what if the Facebook people don’t get to monopolize the VR ecosystem? What if, instead of one metaverse, there are many connected metaverses? This is how Tony Zhao, Co-Founder and CEO of video developer platform Agora, sees the virtual-scape shaping up next year.

“The way current metaverses are set up isolates each on their own digital island,” said Zhao. “But next year, real-time engagement technology will enable connectivity between metaverses and create a more connected and engaging experience for users. It will also reduce the barrier to entry by simplifying access to the metaverse to something as ubiquitous as a web browser.”

Real-time engagement

Virtual and hybrid conferences are here to stay. What will keep virtual attendees connected in both virtual and real-world environments is real-time engagement (RTE).

Zhao sees RTE applying to a growing number of metaverses, gaming experiences and data transmissions.

“These industries will embrace RTE and extend its capabilities well into the future,” he said, adding that “early adopters of live and interactive video and audio are app developers and digital-first companies.”

As we saw in other areas of marketing technology in the last year, RTE is likely to get a boost from the low-code and no-code movement.

“In 2022, we will see more and more traditional enterprises adopting real-time engagement technology, thanks to the rise of no-code and low-code tooling,” said Zhao. “No-code and low-code tooling will empower enterprise agility, quicker development turnaround times, and accelerate business outcomes.”

Virtual and in-person conference experiences

The Omicron variant that emerged at the end of 2021 indicated that the COVID-19 pandemic will continue to be a concern for in-person events, calling on digital solutions to keep customers engaged.

“As the pandemic continues, we will transform how events are consumed both in-person and virtually,” said Zhao.

He added, “More and more robots will traverse the conference floors providing ‘on-the-ground’ information and visuals to viewers around the world. Drones will stream information from above audiences, offering even greater real-time experiences, sending streams from above and on the floor to people all over the world who will participate with greater human-to-human connections than we’ve ever seen.”

Micro-communities

Human-to-human connections also proliferate in digital communities, and this has been the case since the earliest days of the web. Brands are discovering that smaller groups can make a bigger impact on individual consumers and build stronger engagements among micro-communities. This community building at the micro-level will grow stronger next year.

“Expect to see more brands build micro-communities around their products to offer consumers genuine and meaningful experiences in the virtual and real world,” said Philip Smolin, Chief Platform Officer for 100.co, a new AI-powered marketing platform focused on CPG brands. “This will foster a collaborative relationship between brands and customers. So, instead of spying on consumers through cookies, brands can simply ask consumers for feedback and offer them recommendations based on their likes and dislikes.”

According to Smolin, brands use digital engagement not just to provide easier discovery and buying options since they’re not just selling a product. “They’re successfully building a community of like-minded consumers…[and] this can even segue into the real world, where post-Covid consumers will crave more experiential events at stores and malls,” he explained.

A key feature of the new year’s customer engagement is that it won’t matter whether it’s online or out in the real world. The successful customer journey will always be underpinned by some kind of digital architecture.

Hard turn to mobile and text

For retail brands, digital technology increasingly will be used to unlock value from a brand’s physical store footprint.

“Don’t give up on brick-and-mortar just yet,” said Michael Osborne, President of messaging and notification engine Wunderkind. “Physical locations support online shopping habits by giving consumers the chance to touch products in real life. This can drive overall sales, even if stores themselves are not producing revenue.”

When shoppers are in-store, they still have their phones on them, and that’s where the mobile strategy becomes even more relevant to the customer experience.

“A mobile strategy has been proven to be more popular with consumers, to give immediate opportunity to pursue action (e.g., sending a product link via text),” Osborne said. “The accessibility to consumers while they are on-the-go is key to being able to market amidst active and busy consumer behaviors.”

He calls personalized texts and emails, which can be accessed by a shopper in-store or at-home, “the difference between a modern vs. a traditional marketing approach.”

Relevant messaging that uses the first-party data customers are sharing with a brand through purchases and other channels can boost ROI when they get a truly useful and personalized texts. These mobile and SMS communications will only increase next year.

“Data based on consumer shopping habits and patterns help create tailored messaging for meaningful consumer-retailer engagement,” Osborne explained. “The need and use of tangible marketing metrics and measurable ROI to boost revenue pinpoint the categories consumers are more fond of, for individualized messaging.”

Changing of the guard

Marketers were working long hours last year in an effort to boost their SMS strategies. This sets the stage for a takeover in 2022, as digital non-native consumers have transformed their habits to digital and mobile-first.

“There is no doubt the pandemic accelerated digital adoption,” said Chris Bauserman, Vice President of Marketing for cloud-based experience platform NICE CXone. “In almost two years, non-digital natives have become more digitally fluent. And as such, demand for more digital customer service touchpoints that help these consumers and their specific needs has increased.”

Bauserman contends that in 2022, digital transformation will become generation-less.

“With more digital savvy consumers within all generational groupings, brands will be able to usher in a much larger digital component with both mobile and self-service finally able to take precedence,” Bauserman said.

Read next: 2022 Predictions: E-commerce everywhere

About The Author

2022 Predictions Data strategy and privacy
Chris Wood draws on over 15 years of reporting experience as a B2B editor and journalist. At DMN, he served as associate editor, offering original analysis on the evolving marketing tech landscape. He has interviewed leaders in tech and policy, from Canva CEO Melanie Perkins, to former Cisco CEO John Chambers, and Vivek Kundra, appointed by Barack Obama as the country’s first federal CIO. He is especially interested in how new technologies, including voice and blockchain, are disrupting the marketing world as we know it. In 2019, he moderated a panel on “innovation theater” at Fintech Inn, in Vilnius. In addition to his marketing-focused reporting in industry trades like Robotics Trends, Modern Brewery Age and AdNation News, Wood has also written for KIRKUS, and contributes fiction, criticism and poetry to several leading book blogs. He studied English at Fairfield University, and was born in Springfield, Massachusetts. He lives in New York.


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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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