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North Star goals for category leaders: Agile, customer-centric culture

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North Star goals for category leaders: Agile, customer-centric culture

This is the last of a four-part series on the North Star goals that set category leaders apart from their peers. You can find Part 1 (one-to-one, omnichannel personalization) here, Part 2 (first-party customer view) here and Part 3 (customer lifetime value model) here.

It takes a fully-functioning team across multiple disciplines to create successful marketing results. While an individual or two may stand out, the collective strategic work is what achieves winning and sustainable ROI. Long-term success depends on supportive leadership and nimble teams that keep up with changing times while building valuable lifetime customers. 

The final part of this series tackles what an agile, customer-centric culture means, why leadership support matters and how organizations can work toward this goal.

The components of an agile, customer-centric culture

Culture

Whereas values are principles and goals that guide strategies and are often aspirational, culture is the outcome of shared values, goals and practices within an organization.

In other words, while values are how a company describes its ideals and standards for interacting with customers and employees, culture is the way work is actually done. When the pressure is high or priorities are competing, culture is how work gets prioritized, performed and evaluated. 

Culture isn’t static, either. How work gets done — or needs to get done — may shift depending on where a company is in its growth and maturity or the nature of competition or innovation in its sector. 

For instance, a startup may benefit from an extremely collaborative and highly innovative culture in its early stages. Over time, additional structure and a stronger focus on sales and competitive marketing may be needed. Thus, while an organization’s founding values may not change, how those values are interpreted and practiced may need to evolve for practical or strategic reasons. 

Becoming customer-centric

Customer-centricity is an organization’s continual focus on improving the customer experience, with a shared understanding from the top down and bottom up that doing so will improve business performance. This means every employee can see their role in serving and creating better customer experiences.

But being customer-centric doesn’t mean the company doesn’t care about its employees. The most successful companies find a way to do both in a manner that reinforces each other. Employees are motivated to create great customer experiences and are rewarded when they achieve that.

Thus, the foundational element of customer-centricity ensures everyone is aligned with the customer’s interests. By doing so, the company succeeds when customers have a better experience and buy more or often.

Agility in company culture

You may be familiar with Agile as a set of principles and practices for software engineering or even marketing work in organizations. Scrum and Kanban are often used to organize and manage project work in iterative cycles (or the Scaled Agile Framework at the organizational level). While it makes sense for projects and ongoing marketing activities, what exactly is an agile culture? 

An agile culture means keeping an openness to change and an appreciation for making decisions subject to evaluation and evolution. It can take different forms, but one common earmark is encouraging experimentation and learnings over fear that everything must be right on the first try. This openness to learning and willingness to accept failure to gain insights may seem strange to some. Still, organizations that embrace such culture can move rapidly because every misstep is a learning moment.

Thus, an agile culture is built for flexibility today and in the future. By adapting, adjusting and learning through successes and failures, an agile culture can lead organizations to quicker — and greater — success.

What is leadership’s role in customer-centricity?

Many factors make an agile, customer-centric culture, but a key component is the leadership’s role in creating, supporting and maintaining it. Leaders set behavioral standards and enforce them through their actions, the activities they reward and the things they overlook.

For instance, mixed messages are sent if an organization claims to be customer-centric, but leaders only reward employees who cut costs at the expense of customer experience. The public message is “we love our customers,” yet leadership only supports customers when they don’t involve other business objectives like profitability or efficiency.

That said, it’s a different story when efficiency is used to benefit the customer. What leaders emphasize matters. If there is a direct line between creating profitability and efficiency and benefiting the customer, leaders can have the best of both worlds. Leadership often fails when they don’t connect the dots for their team members.

Ultimately, leadership plays a vital role in agile, customer-centric organizations because they reinforce the behaviors making up the culture. They also demonstrate to employees that actions to achieve company objectives can align with customer needs.

How does an organization get started?

Building or changing a culture isn’t going to happen overnight, but shifting toward agility and customer-centricity is possible with leadership buy-in. Leaders must start addressing these key areas.

Prioritization

It is never enough to say you are a customer-centric organization or claim your teams are nimble to adapt to internal or external changes. What gets prioritized determines the culture and behaviors in an organization. 

De-prioritizing customer-centric activities or initiatives sends a clear message that even though leadership claims to want one thing (customer-centricity), those efforts take a back seat to other priorities when push comes to shove.

Resistance to change

As much as your culture may embrace agility, humans naturally resist continual change. Some things make it more manageable, such as: 

  • Having a reason and purpose behind the change so it’s easier to understand.
  • Involving your team in planning the change. This increases the likelihood of buy-in, participation and championing to others within the organization.

Consistent messaging

Just as you send on-brand messages to customers, cultural change within an organization requires consistent communication. Don’t just assume employees only need to hear something once to get on board or understand its meaning instantly.

Engage in consistent communication campaigns internally. This builds an environment and culture with an agile, customer-centric focus enough to propel your brand as a category leader.

Additionally, start by building an appreciation for experimentation and learning. Remember, not every experiment needs to yield positive results to teach valuable lessons. Leadership must support their teams’ growth, even without achieving desired outcomes 100% of the time. 

Set up your organization for long-term success

As you’ve undoubtedly seen in your career, good ideas are not enough. It takes a great team to do excellent work and continuously improve in a dynamic and competitive environment. 

Building an agile, customer-centric culture sets your brand up for success. When you continually focus on customers and create a motivating and rewarding work environment, your organization will stand out.


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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.

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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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