MARKETING
How To Turn Complex Topics Into Content Your Audience Will Understand
Recently, a client in the technology industry wanted to develop clear, easy-to-understand content that their audience could relate to. But it didn’t seem possible.
Without skilled writers to translate technical concepts into business outcomes, this company could not build its content program, which affected its ability to differentiate in a crowded market. The constraints of a difficult reality seemed impossible to overcome.
Yet, their goal really was possible. Let’s explore five ways that you can turn complex ideas into interesting, engaging, and original content.
Define your audience’s technical knowledge
Successfully writing about complex topics depends on the audience’s knowledge level.
Matthew Rayback, senior manager of UX content strategy at Adobe, has spent the last decade building content programs for technology companies. “Do the work of understanding who your audience is and what their tolerance – or even expectation – of complexity is,” he says.
Do the work of understanding who your audience is and what their expectation of complexity is, says @matthewrayback via @SarahLParkerUK @CMIContent. Click To Tweet
The challenge is to avoid being too technical or too simplistic, both of which can prevent readers from connecting with your message. “If you’re writing about a highly technical subject to a lay audience, you likely need to find ways to simplify (think metaphors or examples, etc.),” Matthew says. “But if you’re writing about the same topic to a specialist audience, they will likely be insulted by a simplistic approach and will be evaluating you on your ability to reflect the complexity they’re looking for.”
To match your language with the terms, concepts, and examples with which your audience is familiar, map their technical knowledge before you write.
Example: A List Apart, a site for people interested in web standards and best practices, published an article – Breaking Out of the Box – for a developer audience. The piece uses technical language, such as “device postures” and “Window Controls Overlay for Progressive Web Apps,” shown in the text below, that this audience would understand. However, a layperson likely would find those terms disruptive to their reading experience.
Understand the topic
Masooma Memom, a writer for SaaS brands, is experienced at mastering complex information to help educate audiences. She says the best way to write about complex topics is to learn about them first.
“After all, if you aren’t clear about the topic, you won’t be able to explain it to your readers,” she says.
The way to write about complex topics is to learn about them first, says @inkandcopy via @SarahLParkerUK @CMIContent. Click To Tweet
Build your understanding using one of these two approaches:
- Explain your topic to a rubber duck. This is an old programming trick. Because the duck knows nothing about coding, the expert breaks down the problem by talking aloud to it. “This helps you identify flaws in your understanding of the topic and also gives you ideas for how to explain it simply and clearly to your readers,” Masooma says.
- Visualize your topic with a concept map. If you don’t like talking to yourself, use a concept map to define the most important ideas. “Create one using arrows to explain how steps or concepts are linked. It’ll give you lots of clarity on the topic, prepping you well for writing about it in a clear manner,” Masooma explains.
These methods also help you frame your language to support your audience’s understanding.
Example: Moz’s internal links pillar page explains the topic in a way that demonstrates deep understanding of the topic. The image below shows how headings and subheadings – what are internal links, code sample, optimal format, SEO best practice – guide readers to the answers they need.
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Learn the lingo, then unlearn it
Knowing the topic is an important step. Yet, questioning how the word choices relate to the audience is what underpins success. Kim Grob, co-founder at Write On, leads a team of creative directors, content strategists, and writers who specialize in transforming complex information into compelling human stories.
“The really tricky part comes after you’ve got a good working knowledge of the subject. That’s when you’ve got to become something of a translator. You’ve got to take all that complex information and turn it into a story that people actually want to read,” Kim explains.
She says while understanding technical terminology and industry jargon helps create precise and clear writing, high-quality content comes from finding simple word choices to replace those complex terms.
“While some technical terminology will likely be needed to make your story precise and resonant for your readers, use it sparingly,” Kim says. “Focus instead on language that reflects the way people actually speak. This will help you find the human pulse in even the most technical content.”
Use technical terminology sparingly. Focus on language that reflects the way people actually speak, says Kim Grob of @WriteOnNetwork via @SarahLParkerUK @CMIContent. Click To Tweet
Amy Higgins, senior director, content strategy, at Twilio, has spent her career targeting content for specific audiences. Both Amy and Kim say simple word choices are crucial, but Amy suggests a novel approach to driving empathy.
“Use the ‘Will my mom understand this?’ testing method before you publish it,” she says. “Every mom is different, but let’s just say my mom is not the most technologically advanced. She once asked me, ‘How do I get on the Google? I can get on the Facebook, but not the Google’. If you simplified the topic and told a great, informative story, anyone should be able to understand the topic, no matter how complex.”
Use the ‘will my mom understand this?’ test before you publish content on complex topics, says @amywhiggins via @SarahLParkerUK @CMIContent. Click To Tweet
Example: This University of Utah article, What Causes Miscarriage, covers medical terminology – “congenital anomalies” – pairs it with clear and simple explanatory language – “anomalies you’re born with.”
Go straight to the source
Your specialists – internal subject matter experts and external influencers – are the best way to access deep industry knowledge.
Ashley Zeckman, vice president of strategy and customer success at Onalytica, has spent the last seven years leading B2B influencer marketing strategy for enterprise brands. She recommends going straight to the experts to turn complex information into interesting content.
Go straight to the experts to turn complex information into interesting #content, says @zeckman via @SarahLParkerUK @CMIContent. Click To Tweet
“Often, we find that the more complex topics are, the less interesting the final product tends to be. My best advice for writing about complex topics is to go straight to the source,” Ashley says.
Develop both internal and external expert outreach:
- Leverage your internal experts for specialist knowledge. “SMEs give you the opportunity to access a wealth of knowledge, but they aren’t trained in content creation,” says Ashley. “Create a brief that includes questions you’d like their insights on at least five business days ahead of the interview. Then bundle together questions that will help you create multiple content assets.”
- Scale your content creation with external experts and influencers. By boosting the depth of your expertise working with outside experts, you build credibility with your audience. Ashley suggests these ideas for external outreach:
- Highlight the benefit to the influencer (monetary or otherwise).
- Make participation easy in a medium that works best for them.
- Engage them to promote the content they created by providing social images and suggested social messages.
- Provide an individual tracking link to each expert so you can determine who resonates the most with your target audience.
“Then it’s your job to bring all these pieces together – by enlisting the help of others to provide deep expertise, you can focus your efforts on developing the red thread that ties the stories together and creates a memorable experience for your target audience,” Ashley says.
Example: The 2021 B2B Influencer Compensation Report from Onalytica and Convince & Convert combines influencer quotes, data, and customer challenges to create a single thread. This image reflects that package for the topic of authoring e-books and white papers.
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Be a storyteller
Speaking to subject matter experts is one piece of the puzzle. Translating their knowledge into a compelling story that closes the gap between your business and audience is another. Becky Lawlor, founder of Sparkifico, has developed content for leading technology companies.
“Get rid of the jargon and use stories,” she explains. “Whether that’s customer stories you already have that you can pull from or hypothetical ones you create. Stories will help your audience better visualize and understand how the concepts you’re talking about can be put to action in the real world.”
To simplify complex topics, get rid of the #jargon and use #storytelling, says @lawlor_becky via @SarahLParkerUK @CMIContent. Click To Tweet
Develop your story around your customer, i.e., the reader:
- Wrap solutions in customer stories. Use testimonials and case studies to make your customer the hero, navigating a series of conflicts to a successful outcome. “Don’t turn your case studies into long paragraphs or lists of information. Instead, build your customer’s context to make your content engaging and relatable,” Becky says.
- Hook your customers with original stories. The best narratives come from people who have the same problems as your customers. “Use surveys and interviews to find out what is and isn’t working for your audience. Your stories need to come directly from your customers – whether that’s through case studies and testimonials or original research,” Becky says.
“Content created or co-created by customers gives businesses a direct line into the problems their audience are trying to solve and adds an air of credibility that can’t be achieved in other ways,” she explains.
Example: Salesforce’s case study on Cytiva, a biopharmaceutical company, uses first-hand narratives to connect with the readers and build a shared experience, including this quote about advancing human health: “Our sense of purpose has never been greater. It normally takes around 10 years to bring a new pharmaceutical product to market; the industry had to pivot to deliver in a matter of months.”
This type of frontline story can then inspire readers to solve their own challenges.
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Turn technical jargon into powerful stories
I have learned the best way to write about complex topics is to tell stories developed from connections with audiences, experts, and industry knowledge. To get better at this, you need to identify your readers’ knowledge level, gain a basic understanding of the topic, write using the same language as the audience, and work with experts.
Only then can you connect these elements with powerful storytelling.
Translating technical jargon into stories is about following a process that enables the right balance for your readers. Marketers with this thinking can systematize high-quality content that delivers a clear message.
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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