MARKETING
How to create editorial guidelines that are useful + template
Before diving in to all things editorial guidelines, a quick introduction. I head up the content team here at Optimizely. I’m responsible for developing our content strategy and ensuring this aligns to our key business goals.
Here I’ll take you through the process we used to create new editorial guidelines; things that worked well and tackle some of the challenges that come with any good multi – stakeholder project, share some examples and leave you with a template you can use to set your own content standards.
What are editorial guidelines?
Editorial guidelines are a set of standards for any/all content contributors, etc. etc. This most often includes guidance on brand, tone of voice, grammar and style, your core content principles and the types of content you want to produce.
Editorial guidelines are a core component of any good content strategy and can help marketers achieve the following in their content creation process:
- Consistency: All content produced, regardless of who is creating it, maintains a consistent tone of voice and style, helping strengthen brand image and making it easier for your audience to recognize your company’s content
- Quality Control: Serves as a ‘North Star’ for content quality, drawing a line in the sand to communicate the standard of content we want to produce
- Boosts SEO efforts: Ensures content creation aligns with SEO efforts, improving company visibility and increasing traffic
- Efficiency: With clear guidelines in place, content creators – external and internal – can work more efficiently as they have a clear understanding of what is expected of them
Examples of editorial guidelines
There are some great examples of editorial guidelines out there to help you get started.
Here are a few I used:
1. Editorial Values and Standards, the BBC
Ah, the Beeb. This really helped me channel my inner journalist and learn from the folks that built the foundation for free quality journalism.
How to create editorial guidelines, Pepperland Marketing
After taking a more big picture view I recognized needed more focused guidance on the step by step of creating editorial guidelines.
I really liked the content the good folks at Pepperland Marketing have created, including a free template – thanks guys! – and in part what inspired me to create our own free template as a way of sharing learnings and helping others quickstart the process of creating their own guidelines.
3. Writing guidelines for the role of AI in your newsroom?… Nieman Lab
As well as provide guidance on content quality and the content creation process, I wanted to tackle the thorny topic of AI in our editorial guidelines. Specifically, to give content creators a steer on ‘fair’ use of AI when creating content, to ensure creators get to benefit from the amazing power of these tools, but also that content is not created 100% by AI and help them understand why we feel that contravenes our core content principles of content quality.
So, to learn more I devoured this fascinating article, sourcing guidance from major media outlets around the world. I know things change very quickly when it comes to AI, but I highly encourage reading this and taking inspiration from how these media outlets are tackling this topic.
Learn more: The Marketer’s Guide to AI-generated content
Why did we decide to create editorial guidelines?
1. Aligning content creators to a clear vision and process
Optimizely as a business has undergone a huge transformation over the last 3 years, going through rapid acquisition and all the joys and frustrations that can bring. As a content team, we quickly recognized the need to create a set of clear and engaging guidelines that helps content creators understand how and where they can contribute, and gave a clear process to follow when submitting a content idea for consideration.
2. Reinvigorated approach to brand and content
As a brand Optimizely is also going through a brand evolution – moving from a more formal, considered tone of voice to one that’s much more approachable, down to earth and not afraid to use humor, different in content and execution.
See, our latest CMS campaign creative:
It’s pretty out there in terms of creative and messaging. It’s an ad campaign that’s designed to capture attention yes, but also – to demonstrate our abilities as a marketing team to create this type of campaign that is normally reserved for other more quote unquote creative industries.
We wanted to give guidance to fellow content creators outside the team on how they can also create content that embraces this evolved tone of voice, while at the same time ensuring content adheres to our brand guidelines.
3. Streamline content creation process
Like many global enterprises we have many different content creators, working across different time zones and locations. Documenting a set of guidelines and making them easily available helps content creators quickly understand our content goals, the types of content we want to create and why. It would free up content team time spent with individual contributors reviewing and editing submissions, and would ensure creation and optimization aligns to broader content & business goals.
It was also clear that we needed to document a process for submitting content ideas, so we made sure to include this in the guidelines themselves to make it easy and accessible for all contributors.
4. 2023 retrospective priority
As a content team we regularly review our content strategy and processes to ensure we’re operating as efficiently as possible.
In our last retrospective. I asked my team ‘what was the one thing I could do as a manager to help them be more impactful in their role?’
Editorial guidelines was the number 1 item on their list.
So off we went…
What we did
- Defined a discrete scope of work for the first version of the editorial guidelines, focusing on the Blog and Resources section of the website. This is where the content team spends most of its time and so has most involvement in the content creation process. Also where the most challenging bottlenecks have been in the past
- Research. Reviewed what was out there, got my hands on a few free templates and assembled a framework to create a first version for inputs and feedback
- Asked content community – I put a few questions out to my network on LinkedIn on the topic of content guidelines and content strategy, seeking to get input and guidance from smart marketers.
- Invited feedback: Over the course of a few weekswe invited collaborators to comment in a shared doc as a way of taking iterative feedback, getting ideas for the next scope of work, and also – bringing people on the journey of creating the guidelines. Look at all those reviewers! Doing this within our Content Marketing Platform (CMP) ensured that all that feedback was captured in one place, and that we could manage the process clearly, step by step:
Look at all those collaborators! Thanks guys! And all of those beautiful ticks, so satisfying. So glad I could crop out the total outstanding tasks for this screen grab too (Source – Optimizely CMP)
- Updated content workflow: Now we have clear, documented guidance in place, we’ve included this as a step – the first step – in the workflow used for blog post creation:
Source: Optimizely CMP
Results
It’s early days but we’re already seeing more engagement with the content creation process, especially amongst the teams involved in building the guidelines (which was part of the rationale in the first place :))
Source: My Teams chat
It’s inspired teams to think differently about the types of content we want to produce going forwards – for the blog and beyond.
I’d also say it’s boosted team morale and collaboration, helping different teams work together on shared goals to produce better quality work.
What’s next?
We’re busy planning wider communication of the editorial guidelines beyond marketing. We’ve kept the original draft and regularly share this with existing and potential collaborators for ongoing commentary, ideas and feedback.
Creating guidelines has also sparked discussion about the types of briefs and templates we want and need to create in CMP to support creating different assets. Finding the right balance between creative approach and using templates to scale content production is key.
We’ll review these guidelines on a quarterly basis and evolve as needed, adding new formats and channels as we go.
Key takeaways
- Editorial guidelines are a useful way to guide content creators as part of your overall content strategy
- Taking the time to do research upfront can help accelerate seemingly complex projects. Don’t be afraid to ask your community for inputs and advice as you create
- Keep the scope small at first rather than trying to align everything all at once. Test and learn as you go
- Work with stakeholders to build guidelines from the ground up to ensure you create a framework that is useful, relevant and used
And lastly, here’s that free template we created to help you build or evolve your own editorial guidelines!
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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