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Diversity and inclusion are good business

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Diversity and inclusion are good business

Diversity at all levels of a company is an indicator of success. A culture of diversity and inclusion is the cause of it. The benefits of diversity and inclusion can be seen in stock and revenue performance, hiring and retention, and customer acquisition and loyalty. A diverse marketing organization aids access to diverse markets.

This has been documented in many, many, many studies. Nonetheless, there continue to be a large number of organizations and people who don’t understand this. 

To be clear on what we mean: Diversity is the presence in an organization of a variety of people reflective of the society in which it exists and operates. Inclusivity is a work environment where everyone is treated fairly and respectfully and has equal access to opportunities and resources.

Business performance

  • The top 100 Fortune 500 companies have more diverse boards than the other 400 companies on the list. (Forbes)
  • Ethnically diverse companies are 35% more likely to yield higher revenue, while gender diverse companies are 15% more likely to yield higher revenue. (McKinsey)
  • In the US, companies that increase racial and ethnic diversity on senior boards enjoy a 0.8% increase in earnings before interest and tax while their counterparts in the UK see a 3.5% increase. (McKinsey)
  • High growth brands (annual revenue increase of at least 10%) are 1.9x more likely to have diversity-and-inclusion related talent objectives than negative growth brands (Deloitte)
  • Companies with the highest number of women on top management teams have a 35% higher return on equity and 34% higher total return to shareholders than companies with the lowest number. (Catalyst)
  • Diverse companies are 70% more likely to capture a new market audience. (Harvard Business Review)
  • 69% of brands with the most diversity and inclusion in their in ads saw an average stock gain of 44% in a seven-quarter period ending in 2019. (Heat Test Report)

Case study: Nintendo’s Animal Crossing: New Horizons game, like the Animal Crossing: New Leaf game that preceded it, was designed by a gender-balanced, inclusive team, which is a rarity in an industry where 61% of game developers identify as male. (A big improvement. In 2014 it was 76%.) The game attracted more players, specifically females — Nintendo reported a rare even split of male and female players. It also drove the second-highest launch sales in history for Nintendo Switch. (Forrester


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Hiring and retention

  • 57% of employees and 67% of job seekers consider diversity an important element of their workplace, which affects recruitment and retention. (Glassdoor)
  • When employees perceive their organization as committed to diversity and inclusion, and they actually feel included, employees are 80% more likely to rank their employer as high performing. (Deloitte)

Audience acquisition and loyalty

  • 60% of consumers find the topic of diversity and inclusion to be important – Highest among parents with kids 2-12 (78%), African-Americans (80%), and younger generations (76% of Gen Z and 72% of millennials compared to just 46% of boomers). (Quantilope)
  • Gen Z in particular expects brands to have diverse senior leadership (53%), donate to organizations promoting diversity & inclusion (47%), and provide a space for educational resources (47%). (Quantilope)
  • 70% of younger millennials are more likely to choose one brand over another if that brand demonstrates inclusion and diversity in terms of its promotions and offers, 66% in terms of their in-store experience, and 68% in their product range. (Accenture Holiday Shopping survey)
  • 69% of older millennials are more likely to choose one brand over another if that brand demonstrates inclusion and diversity in terms of its promotions and offers, 72% in terms of their in-store experience, and 70% in their product range. (Accenture Holiday Shopping survey)
  • More inclusive ads increase purchase intent of Gen Z consumers by 23% (Microsoft Advertising)
  • In more than 90% of the simulations run by Facebook, diverse representation was the best strategy for ad recall lift. (Facebook Advertising)
  • 59% of people say they are more loyal to brands that stand for diversity and inclusion in online advertising. (Facebook Advertising)
  • 61% of Americans find diversity in advertising important. (Adobe)
  • 70% of Gen Z consumers are more trusting of brands that represent diversity in ads. (Microsoft Advertising)
  • 38% of consumers, in general, are more likely to trust brands that do well with showing diversity in their ads. This percentage is even higher among specific consumer groups including Hispanic (85%), Black (79%), Asian/Pacific Islander (79%), LGBTQ (85%), millennial (77%), and teen (76%) consumers. (Adobe
  • 64% consumers are more likely to consider, or even purchase, a product after seeing an ad that they considered to be diverse or inclusive. This percentage is higher among specific consumer groups including Hispanic (85%), Black (79%), Asian/Pacific Islander (79%), LGBTQ (85%), millennial (77%), and teen (76%) consumers. (Google)
  • 70% of young Millennials and 69% of older Millennials said they would choose a brand over a competitor if it demonstrates inclusivity. (Accenture)
  • 75% of Gen Z consumers said they would stop buying from a brand in response to advertisements that discriminated on the basis of sexuality or race. (McKinsey)

Why we care. “If you seek to enter diverse markets, your organization must become the market you seek. The more distance there is culturally between your team and the market, the less ability you will have to execute.” – Del Johnson, a principal at Backstage Capital, a venture capital firm.

Read next: How inclusion can lead to diversity in marketing and communications


About The Author

App users visit brick and mortar 41 more often than
Constantine von Hoffman is managing editor of MarTech. A veteran journalist, Con has covered business, finance, marketing and tech for CBSNews.com, Brandweek, CMO, and Inc. He has been city editor of the Boston Herald, news producer at NPR, and has written for Harvard Business Review, Boston Magazine, Sierra, and many other publications. He has also been a professional stand-up comedian, given talks at anime and gaming conventions on everything from My Neighbor Totoro to the history of dice and boardgames, and is author of the magical realist novel John Henry the Revelator. He lives in Boston with his wife, Jennifer, and either too many or too few dogs.


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MARKETING

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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