MARKETING
Communication Beats Creativity for Long-Term Content Success
I recently thought of this old joke.
Two hikers walk around a bend in the trail and come face to face with an angry bear. One hiker drops to his knee, fetches his running shoes from his backpack, and laces them up. The other hiker says, “There is no way you’ll outrun that bear.” The kneeling hiker stands up: “I don’t have to be faster than the bear. I only have to be faster than you.”
I’ve noticed a fascinating trend where marketing teams lace up their running shoes to out-innovate their peers within their companies. But in the long run, they don’t outrun the bear.
Five years ago, we worked with a Fortune 500 financial services company. This year, we are working with the same company on a new content strategy project. As I relayed our previous project’s activities – and how successful that team had been – to the marketing director, she was confused and asked who was on the team. She laughed when I shared the names and said, “I remember them. They were a fast-moving team. Most of them are gone now, but this is the first time I’ve ever heard the details of that project.”
Can one marketing team succeed if no one else in the company hears about their innovative project, asks @Robert_Rose via @CMIContent. Click To Tweet
But that’s not the first time I’ve heard that scenario.
Are you outrunning yourselves?
I frequently encounter people from large companies where the innovation gap between marketing teams is wide. I hear things like, “Oh, yes, that team is innovative in its approach to [fill in the blank with some marketing approach]. But the rest of our marketing is still antiquated.”
It fascinates me. When you read case studies or hear at a conference about some company’s innovation of a new content platform or cool marketing strategy, you believe the whole company leans into that strategy. You assume they integrated that innovation throughout the company. You picture the CMO kicking their heels and nodding with satisfaction, “Yes, I approved of that strategy.”
But the truth is, most of these organizations fail to integrate the innovative approach across marketing, and the rest of the organization doesn’t even know it exists. As the “bear” of evolving strategies chases the business, one part of marketing may simply be outrunning its “friends” – the other parts of marketing and the business.
That speed doesn’t last. The bear inevitably catches all of them.
Speed can reduce communication
No doubt the need for content strategy moves fast today. Marketers increasingly shift content creation and management from agencies to in-house studios. As a result, you must adapt to an always-on content strategy. This transition demands greater flexibility and a more coordinated, cross-functional, data-infused decision-making process.
Yet, when brands infuse interesting, innovative approaches into their overall content strategy, the teams become so focused on development and implementation that they forget to bring the rest of the organization. And some who do think about internal communication dismiss the idea, saying, “We don’t involve them because that will just slow us down.”
This approach can provide short-term agility and speed, but it also leaves you alone in the long run. At a company I worked with recently, the content marketing team had been so heads-down on their “cool, innovative new customer-facing digital publication” that they failed to notice the rest of the organization pivoted to a new account-based marketing strategy. They spent months trying to get retroactive buy-in from the larger team and pivot their platform to support the new goals. It didn’t work; ultimately, the digital publication was turned off.
Many, many times, I find myself saying – as I told the new/old financial services client: “Ninety percent of a modern content strategy has nothing to do with the content. It’s all about ongoing communication.”
90% of a modern #ContentStrategy has nothing to do with content. It’s about ongoing communication, says @Robert_Rose via @CMIContent. Click To Tweet
Fast, innovative change in a silo rarely sticks – even in the silo where it was made.
Treat communication as a process, not a project
Any innovative content strategy requires proactive communication and activation. What does that look like? At a high level, start with these four steps – with the last step as the real key.
1. Identify the stakeholders and the WIFM (what’s in it for me)
As you roll out a new innovative change, identify all the stakeholders. Include not just the ones directly affected by the change but the ones whose lack of direct knowledge about it could affect its success. Then, segment these stakeholders by their role in the organization and level of involvement in the innovation.
2. Craft a clear message
Develop a clear and concise message that explains the change, how it will work, the impact on the organization, and, most importantly, the impact on them.
3. Create a two-way dialogue
Encourage feedback and questions from people throughout the organization. Use that to inform your communication plan so the new project integrates with their plans or needs.
4. Monitor progress and, most importantly, keep it up for the long haul
Continuously monitor the effectiveness of your communication and collaboration plan. Adjust it as needed. Use metrics, such as employee engagement survey results, feedback from change champions, and adoption rates, to assess the success of the communication plan. Finally, and most importantly, build that internal communication work into the content strategy process rather than evaluate it only at the end of the project.
Regularly assess the effectiveness of your communication and collaboration plan and evolve your internal communication accordingly, says @Robert_Rose via @CMIContent. Click To Tweet
At this point, you might think, “Hey, wait a minute. If this is the recommended approach you took with your financial services client five years ago, why didn’t it stick? Why were the other teams unaware of the successful content strategy?”
Great question.
When no news isn’t good news
Ironically, long-term content strategies can go too well in the early days. Teams, like the one at the financial services company, often stop thinking about the endurance of communicating the change. It’s how most businesses view “communicating change.” You only create internal communications when you need to get buy-in or relay new tasks that somebody probably doesn’t want to do.
So, when things are going well, you assume that everybody knows.
After more than 20 years of seeing large marketing teams siloed from one another, I know “de-siloing” teams is not terribly realistic. Thus, your ability to keep teams from outpacing each other when creating new innovative processes is limited.
But a great communication process can help bridge those silos. Ensuring you bring along the organization – even if it slows you down a bit – can contribute significantly to long-term success.
If you outpace other parts of your organization, you may find yourself ahead of the bear. But you also risk getting so far in front that you never realize the other teams “met” and tamed the bear, and moved on, leaving you running alone.
It’s your story. Tell it well.
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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