MARKETING
How To Create Inclusive Content To Make Your Audience Feel Seen
For diversity and inclusion to thrive in content marketing, they need to be top of mind in every conversation – the ones brands have publicly and the ones they have internally.
While your content team can’t address all possible perspectives in every content effort, they can make great strides by implementing new thinking and processes and developing “muscle memory” for championing diversity in your content marketing.
We spoke at Content Marketing World with African-American Marketing Association founder Michelle Ngome about integrating diversity and inclusion into a brand’s content marketing. Watch the video below for highlights of that conversation. Then, read on for tips from Michelle to turn her advice into intentional actions that deepen customer engagement and drive business growth.
Start internally
Michelle encourages organizations to start from the inside by examining who gets invited to the decision-making table. “A lot of organizations are diverse, but are they inclusive? Do they have [representation of] Black people, Latinx, Asians, American Muslims, neurodiversity, and people with disabilities involved in their marketing conversations?” she asks. “If so, I would like to think they’ll speak up [to help your brand] avoid things that may be sensitive to [any of those] communities.”
A lot of organizations are diverse but are they inclusive, asks @MichelleNgome via @joderama @CMIContent. Click To Tweet
That representation should also extend to those who create the content. If it isn’t possible on your in-house team, Michelle suggests, bringing on a freelance writer or consultant, or partnering with an agency. They can expand your team’s frames of reference and contribute new ideas and perspectives to your storytelling efforts.
If you don’t have the budget to outsource, interview customers or subject matter experts to share their stories and experiences with your content creators, then use your brand’s content platforms to amplify their voices.
Cultivate a welcoming environment
Simply inviting diverse team members to your content planning sessions and strategy meetings isn’t enough. You also need to cultivate an environment where each person feels encouraged and empowered to speak their truth even when it might conflict with the ideas and perspectives held by the majority of the team.
For this, Michelle recommends that team leaders tap into their emotional intelligence and look for ways to make outliers more comfortable expressing their views and experiences.
“It takes a lot of confidence to speak up in a room. If you’re a manager, how are you reading the room? Do you see someone who seems kind of timid? [Engaging them] it might be inviting them to a one-on-one like, ‘Hey, let’s, let’s go to my office’ or ‘Let’s do a 15-minute Zoom call and talk about this.’ They probably do have thoughts – they’re just afraid to speak up,” Michelle says.
Inclusivity often involves managers asking timid team members to talk one-on-one, says @MichelleNgome via @joderama @CMIContent. Click To Tweet
Specific and prescriptive multicultural marketing training can also help shift your team’s mindset, making them more aware of their unconscious biases and motivating them to eliminate biased language and ideas from their content.
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Audit your brand communication
Michelle also suggests companies do a full audit of their communication to identify areas where unintentional imbalances or subtle exclusions may exist. Examine internal messaging as well as the content across all your digital platforms:
“What kinds of content are you sharing on Instagram, Facebook, LinkedIn company pages, and Twitter? What do your messaging and images look like? Is there a healthy balance of perspectives shared in [your] choices of topics and the [faces and voices behind] your messages? Is the language welcoming to all, or does it prioritize the experiences of some groups over others?”
Exploring aspects like these can identify existing inclusion lapses in your brand communication.
Though content marketers may not have influence over some enterprise-level communication, the team can take steps to counterbalance them with more inclusive messaging in the content they create.
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Revamp operational processes
You also can take a few more deliberate steps to implement an inclusive content marketing strategy:
- Add diversity-related categories to your editorial plan: Note such things as the audience segments the content effort might appeal to.
- Gather direct insights: Conduct surveys, host one-on-one interviews, meet with focus groups to learn how a BIPOC customer journey may be different from other targeted audience members.
- Develop a diverse editorial advisory board: Create an ongoing resource to suggest ideas, fresh sources, and speakers from multiple perspectives.
#CMWorld https://t.co/uXfO42fj4F
— Content Marketing Institute (@CMIContent) February 1, 2022
- Watch your language: Don’t simply write or say that your brand is diverse and committed to inclusion. Show your audience by using descriptive words that reflect concepts like “connection,” “openness,” and “balance.” Aim to use gender-neutral phrases (like they or them instead of he and hers) and refer to sources by their chosen pronouns (if you aren’t sure, ask). Where possible, free your content from biased statements that assume a level of wealth or experience that might exclude some of your target audience.
#Inclusivity can be as simple as using your source’s chosen pronouns. Not sure their preference? Ask, says @MichelleNgome via @joderama @CMIContent. Click To Tweet
Michelle recommends a few resources to sharpen your inclusive language skills, including her company’s Language of Inclusion Glossary and guidance provided by Diversity and Inclusion Work.
1. The Language of Inclusion DEI Glossary https://t.co/cyA1ri4nsx
2. @CKadala https://t.co/fxPY3WsAom
3. @ongig https://t.co/2PuJoRhoBg
4. @heather_s_olson https://t.co/whM1Umk3zY#CMWorld— Michelle Ngome 🇨🇲 (@MichelleNgome) February 1, 2022
Brands like people don’t always handle their diversity challenges perfectly. But remember, there’s room for all kinds of businesses to grow more inclusive. It’s also never too late, even for those that have made high-profile errors in judgment, may have been ill-informed about an issue, or placed their bets on the wrong horse.
Cover image by Joseph Kalinowski/Content Marketing Institute
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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