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Enabling with technology, differentiating through humanity

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Enabling with technology, differentiating through humanity

Enabling with technology differentiating through humanity

If you’ve ever reminisced about a trip to Disneyland, many elements might make you nostalgic: the rides, the food, the well-trained cast members, and the feelings elicited by having fun with family and friends. Chances are, however, that you won’t sit down with your grandkids one day to tell them all about Disney’s amazing mobile app. The tech, of course, facilitates your experience and provides a gateway to a memorable adventure—but it’s the emotional elements that build excitement beforehand and define the vivid memories you cherish afterward.

The pandemic has spurred the adoption of technology at an amazing (and sometimes alarming) rate, but many organizations are mistakenly focusing exclusively on digital transformation without trying to bridge the divide between tech and humanity.

It’s important to remember that the need for human touch varies throughout the customer journey. If you just want to quickly check your bank balance, for example, you’ll probably just use your app. If you’re moving all your possessions across the country, on the other hand, you’ll no doubt want to talk to a real human for peace of mind. Indeed, in an increasingly tech-dominated world, speaking with a live person is now at the top of the communications hierarchy, as anyone who’s found themselves shouting “speak to a representative” at their phone, or pressing “0” in rapid succession, can attest.

With supply chain issues and labor shortages creating bottlenecks nationwide, it might seem impractical (and even unfair) to expect brands to create the ideal balance of humanity and tech. But even under the most challenging circumstances, it’s important to ensure that the human element remains intact. Implementing new tech can mean operational and financial benefits for your brand, but it’s vital to also focus on helping the customer fulfill their mission. In other words, tech should serve as an enabler instead of an end goal.

As Maya Angelou said: People will forget what you said, people will forget what you did, but people will never forget how you made them feel.

Here are a few things to consider when balancing humanity and technology.

1. Be mindful of rational and emotional needs

Brands that successfully bridge the divide are mindful of their customers’ rational and emotional needs. Disney is a great example: the company encourages guests to use its mobile app for logistics like tickets, dining, and parking. When you first open the app, your avatar greets you with a simple question: “What memories will you make?” The House of Mouse understands that while technology will enable the experience, the margin is in the memories. Yes, I will crave and indulge on the Jack Jack Nom Nom chocolate chip cookie. Yes, I will purchase that image of the first time my daughter rides Big Thunder Mountain. I will do all this with the help of technology, but my heart and mind will remain in the moment, not in the digital universe.

Apple is another brand that brilliantly unites tech and humanity. The iPhone improves productivity by enabling critical tasks to be completed remotely from anywhere in the world. Yet Apple’s recent marketing was focused not on productivity but on the brand’s ability to facilitate human connections, emotions, and memories. Let’s admit it: quarantining the past two years was brutal, but we embraced the ability to Facetime with our grandparents, enjoy Zoom holiday celebrations, and find other ways to connect. The technology provided an irreplaceable gateway to dial into emotional needs.

We all panic when we misplace our phones because we’re suddenly unable to communicate instantly and will potentially lose the precious memories stored on our devices. The product/technology itself is, of course, easily replaceable (at a cost), but it’s a means to an end. When a product or service drives an emotional and human response in addition to a rational response, we’re more likely to spend more, be more loyal, and be greater advocates of the brand.

2. Be mindful of over-rotating towards technology

Brands may need to make a tradeoff to retain the human element in digitized processes. Accept that efficiency might be reduced, but the experience factor improved, a worthy compromise for increased loyalty. In other words, don’t discount the power of good friction!

Take Sam’s Club’s Scan & Go app, for example. The app enables customers to shop in massive warehouses by scanning items from their mobile devices as they load them into supersized carts. Checkout is a breeze, and customers can exit with a swipe. While the app certainly reduces friction and pain points, it also eliminates opportunities to build trust between staff and shoppers. The brand has also shifted some of its operational burdens onto customers, who are asked to confirm the number of items in their cart at checkout. That’s an annoying step for those with carefully curated carts filled to the brim and an example of bad friction.

What’s an example of good friction that the brand could deploy? After asking consumers to tally up their items, Sam’s could ask customers if they need any help loading big items into their cars via their app. Once alerted, that associate would re-introduce the human touch through great, customer-centric service.

3. Great tech can have unwanted consequences even when deployed as designed

Who among us can resist fresh, golden, perfectly salted McDonald’s fries? But those kiosks in the lobby are far from irresistible. It might seem a great idea to bring self-serve kiosks into the store, but if the foot traffic is not tech-savvy, to the counter they go. If there is an issue with the device, to the counter, they go. Paying with cash? To the counter, they go.

With every technology, there is a learning curve. In any of the scenarios above, if a store is pushing the adoption of the kiosk, they can place dedicated resources to promote awareness and adoption of the units. If it’s too expensive to have a dedicated headcount at the machine, you can always pull someone from the counter to the kiosk. Even then, you must be careful not to shift counter service from the counter to the kiosk.

Think about it, though: if you need that much labor to help customers navigate self-service technology, is it even worth it? Simply put, we must be mindful of what technology actually brings to the customer experience and what it may be taking away.

In the case of many QSRs, many concepts actively invest in technology while the complaint resolution/closed-loop processes are still manual and often chaotic. It’s often left to the associates to resolve issues. Providing effective training in service delivery is vital to ensure employees/associates never feel undervalued and ill-equipped to handle those difficult situations technology can’t solve.

Finding the right balance

  1. Keep the customer top of mind. According to a recent NTT survey, only 17% of organizations place customer delight as the top driver behind their CX design strategy—and even fewer do so in practice. Before implementing any new strategies, don’t overlook the basics, such as experience gap analyses. Make sure you plan journey mapping studies from the customer’s perspective and create operationally centric process maps.
  1. Be inclusive. Don’t just focus on the CEOs in the ivory tower: you need to co-create with (and learn from) your frontline employees. With input and buy-in from your associates, it’ll be much easier to brainstorm how to refine the technology and ensure the human touch remains present throughout the customer experience.
  1. Engage employees in meaningful ways. Make sure you understand your workforce from an engagement standpoint.Explore the relationships between employee and organization, employee and manager, and organization and customers. Can your employees articulate what the organization stands for and clearly define its values? How does your organization enable and empower associates? Once you identify your team’s engagement level, plan action sessions to co-create the ideal environment.
  1. Model and project the desired behavior. Executive videos and programs celebrating excellence can be useful but remember that execs should model customer-centric behavior. For example, if you see a piece of trash on the floor, pick it up yourself—don’t delegate the task to a security guard or receptionist. Leading with ‘do as I do’ behaviors will inspire your team to excellence.
  1. Don’t forget to socialize CX behaviors. Use onboarding to lay the foundation early in the tenure of employees and habituate behaviors with regular reinforcement through training, podcasts, and webinars. Take a multichannel approach (inspirational SMS messages) to expose employees to desired mindsets and behaviors.

It’s not always easy to find the perfect balance between humanity and tech, but once you do, customer delight will be a hallmark of your organization—not an elusive ideal. Your customers will never forget how you made them feel, and you can be confident they’ll feel great.

This sponsored article was written by Pernell Cox, director, CX consulting, Material+.


About The Author

Enabling with technology differentiating through humanity
Material is a leading global consumer intelligence and customer experience consultancy. We leverage science, systems, and true human understanding to shape customer experiences that turn transactional moments into transformational relationships. Partnering with business leaders, we help tackle their most significant challenges to help them differentiate in the marketplace, build smarter, more connected experiences, and maximize value delivered to customers and society. Our unique customer intelligence engine is powered by analytics and behavioral science, fuels world-class design and enables the delivery of products and services to bring digital transformation to life. Learn more at materialplus.io.


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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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