MARKETING
10 Content Experience Mistakes To Stop Making (and Ideas for Fixing Them)
Can content be epic if the content experience isn’t?
Quality content is great, but it’s only one part of your audience’sexperience.
We asked the experts presenting at ContentTECH Summit this March what marketers are doing (or not doing) that prevents their audiences from having satisfying content experiences. Their answers encompass internal and external factors, from how content is created to how it’s delivered. (A few also shared what marketers are doing right, too.)
Here’s the set of mistakes the speakers notice content marketers making.
1. Delivering haphazardly
The challenge for every marketing team is that the customer’s content experience is often disjointed. Customers look at many different resources when they don’t get the answers they want. To stand out in that field, be the brand that asks customers what’s relevant to them and then serves up that content through a quiz, content filters, or even a chatbot. – Zontee Hou, director of strategy, Convince & Convert
Be the brand that asks customers what’s relevant to them, then serves up that #content, says @ZonteeHou via @CMIContent. #ContentTECH Click To Tweet
2. Not considering the whole content journey
Most marketers underestimate the work involved in creating an epic customer content experience, especially if you consider the experience to extend beyond one piece of content. Then it becomes more of a journey where you have to consider your visitors’ varying degrees of experience and knowledge. Their experiences will differ, and your content needs to account for that. – Jeff Coyle, co-founder and chief strategy officer, MarketMuse
Consider your visitors’ varying degrees of experience and knowledge. Make sure your #content accounts for that, says @Jeffrey_Coyle via @CMIContent. #ContentTECH Click To Tweet
3. Forgetting the real person
It’s easy to get caught up in the excitement of an epic content experience and lose sight of how the real live customer will interact with it. Adding in some persona research or customer feedback throughout the creation process can help you know if you’re on the right track. – Ali Orlando Wert, director, marketing strategy, SmartBug Media
Use #persona research or customer feedback during the #ContentCreation process to stay on the right track, says @AliOrlandoWert via @CMIContent. #ContentTECH Click To Tweet
4. Not investing in content personalization technology
When customer service sucks, nothing else matters. If customer service can’t address customers’ needs, it doesn’t matter how amazing the customer experience was up until then. Among the reasons customer service fails: 1. limited training of personnel, 2. limiting, pre-defined scripts, and 3. shortage of workers.
As a result, customer service is not personalized. If a company doesn’t have the technology for content personalization, generating content tailored to the needs of a specific customer becomes very expensive. As a result, many companies prefer to use generic content. However, generic content doesn’t address the needs of a specific customer in a specific situation, which translates to unhappy customers and potential losses in revenue. – Alex Masycheff, CEO, Intuillion
Generic #Content doesn’t address the needs of specific customers in specific situations, which translates to unhappy customers, says @DITAToo1 via @CMIContent. #ContentTECH Click To Tweet
5. Ignoring other internal content creators
Marketers fail to create epic customer content experiences by not including their organization’s other content creators in conversations. Often, writers closer to the product, such as technical writers or content designers, can highlight business values and customer stories that are unknown to marketers. What marketers get right is their ability to innovate on content appearance, language, or delivery, which is often stale when coming from other content teams. – Gavin Austin, principal tech writer, Salesforce
Marketers fail to create epic customer #content experiences when they don’t converse with their organization’s other content creators, says @GavinAustinSays via @CMIContent. #ContentTECH Click To Tweet
6. Treating visuals as an afterthought
While content marketers understand the power of visual content and are prioritizing visual content more than ever, those same marketers too often put quantity above quality. But 94% of first impressions are based entirely on how your content is designed. If you deliver content that feels rushed, cheap, or too stock-image heavy, you’re likely not giving your audience an epic customer content experience. – Amy Balliett, senior fellow of visual strategy, Material
If you deliver #content that feels rushed, cheap, or too stock-image heavy, you’re not giving your audience an epic customer experience, says @AmyBalliett via @CMIContent. #ContentTECH Click To Tweet
7. Discounting the content’s environment
The big miss here is they fail to focus on the actual experience. Creating great content is tough, but it’s not enough. We have to think about the environment in which it lives, the way it is structured to sit alongside other relevant content, and the way we compel people to engage in it or a strong CTA. – Randy Frisch, CEO and co-founder, Uberflip
Creating great #content isn’t enough. We have to think about how it sits with other relevant content and the way we compel people to engage with it, says @RandyFrisch via @CMIContent. #ContentTECH Click To Tweet
8. Letting ego drive
Marketers fail at creating epic content experiences when they allow selfishness or ego to override helpfulness. Awesome may get shared, but helpful gets bought. When content marketers put the buyer first, they create CRAP (concise, relevant, and persuasive) content that leads to conversations that convert to customers. – Tom Martin, president, Converse Digital
Marketers fail at creating epic #content experiences when they allow selfishness or ego to override helpfulness, says @TomMartin via @CMIContent. #ContentTECH Click To Tweet
9. Ignoring real customers in content planning
One of the biggest fails we see is that marketers don’t fully understand their audience’s content needs. For example, running persona workshops for their internal audiences with zero customers involved. This is a missed opportunity and leads to misdirected and wasted content efforts and poor experiences.
Once you really know your customers and what they want, the move from good to epic experiences involves detailed journey mapping and identifying the most useful, memorable, and evergreen content experiences you can provide along the way aligned to what they want. It might be an FAQ answering all the questions they have, a how-to video, a fun interactive quiz, a blog, or any other selection of content solutions.
On a positive note, more marketers are now working closely with their CIOs to develop the tech stack needed to support great customer content experiences. Smart marketers are also upskilling in the tools to improve experience delivery. Marketing automation, content attribution modeling, social listening, and interactive content solutions are just some of the technologies that can help to get you from good to epic. – Karen Hesse, founder and CEO, 256
One of the biggest fails we see is that marketers don’t fully understand their audience’s #content needs, says @256media via @CMIContent. #ContentTECH Click To Tweet
10. Treating content as product promotion
A fail is not understanding that pitching your product is never considered content. On the positive side, marketers are using internal resources to communicate with customers. – Rob Walch, vice president of Libsyn enterprise and platform partnerships, Libsyn
Pitching your product is never considered #content, says @podcast411 via @CMIContent. #ContentTECH Click To Tweet
Create epic experiences
Here’s the TL;DR version of the advice from these ContentTECH Summit presenters: Never forget to put the customer at the forefront of what you do – planning, creating, distributing, and evolving your content marketing. That’s the only way to create an epic content experience.
Never forget to put the customer at the forefront of what you do, says @AnnGynn via @CMIContent #ContentTECH speakers. Click To Tweet
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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