MARKETING
How’d You Make That Flipping Awesome B2B Content for ServiceNow?
Speeds, feeds, and awesome AI.
Many tech marketers emphasize those angles to talk about how great their products are, says Richard McGill Murphy, editor-in-chief and director, ServiceNow.
But ServiceNow approaches it differently. The company’s editorial site Workflow launched in 2018 to engage C-level audiences with ideas rather than products. By focusing on emerging tech and business strategy for C-suite leaders, the content covers “technology in the service of people rather than the other way around,” Richard explains.
Since then, Workflow has become a content program in the truest sense: content, data science, distribution, on-site experimentation, and agile publishing practices come together to benefit the company.
Data science, on-site experimentation, and #Agile publishing power the award-winning #ContentMarketing program Workflow @ServiceNow via @AnnGynn and @CMIContent. #CMWorld Click To Tweet
That’s why Workflow took top Content Marketing Awards honors in Best Multi-Year Content Marketing Program, Best Content Marketing ROI/Measurement Program, and Best Agency/Client Content Marketing Partnership (with agency Message Lab) in 2021. It also earned a finalist nod for Best Content Marketing Program of the Year, and Richard earned a nod as a finalist for 2021 B2B Content Marketer of the Year.
How did they make the program such a success? Richard shared some of the magic with us, including details of their tight focus on audience needs supported by rich analytics and a cadre of writers with journalism backgrounds.
Elevate the conversation
“Executives are really interested in the strategic impact of technology, and less so in understanding the ins and outs of point solutions and technology. That’s why we do what we do,” Richard says.
Workflow’s journalistic and research-based storytelling approach aims to build awareness and deepen relationships with existing customers. “It becomes more and more important to have strong relationships with the most senior decision-makers at these companies,” Richard explains. About 80% of Fortune 500 companies are ServiceNow customers, he says.
Drill deep into audience segmentation
But while C-level executives share “chief” in their titles, they lead diverse areas. Workflow’s readership crosses disciplines, helping ServiceNow gain insight into its different audiences. As their CMA nomination explains: “We combined engaged time and article metadata, then made narrow audiences on LinkedIn where we could gain certainty on (the reader’s) title.”
For example, they realized audience members who hold the title chief human resources officers in the United States have different needs than an audience of people who have a vice president of HR title at the same companies. They also learned senior HR audiences are Workflow’s most engaged readers across topics, while CEOs are most interested in how global events shape the workplace.
On the Workflow site, ServiceNow has a hub called the C-Suite Library. The dropdown menu lets users click their role (CEO, CIO, COO, CRO, CHRO, or CCO) and see content directly relevant to their interests.
That kind of segmentation also helps Workflow create promotions with the content most relevant to the targeted niche audience segment.
Audience segmentation helps @ServiceNow promote the most relevant #content from its Workflow targeted niche audiences via @AnnGynn and @CMIContent. #CMWorld Click To Tweet
Over 1,000 articles have been published since Workflow began in 2018. In addition to the C-level categorization, the article hub offers visitors six topic categories – customer experience, employee experience, IT transformation, hyper-automation and low code, security, and risk.
The site also contains guides organized by theme, industry, region, as well as crash courses and basic learning content.
Every quarter, it publishes a digital magazine called Workflow Quarterly, which contains deeply reported feature stories, videos, data-based self-assessments, and interactive graphics. Workflow Quarterly won Best Content-Driven Website and Best New Digital Publication in 2020 and earned several finalist nods that year, too.
Data-driven content decisions and conversion analysis
ServiceNow uses a unique conversion to evaluate its content marketing’s effectiveness – visitor to reader. ServiceNow defines a reader as someone who engages with the article for at least one minute or scrolls at least halfway down the page.
“Workflow, in particular, has emerged as a really interesting insight engine,” Richard says, “not just about who the audience is, but what the audience cares about, what they consume. That creates a feedback loop which we use to optimize the content.”
Analyzing visitors’ behavior creates a feedback loop for optimizing #ContentMarketing, says @richardmmurphy1 via @CMIContent. #CMWorld Click To Tweet
Workflow’s impact grows each year. Sessions jumped 50% in 2020, even as paid promotions intended to drive traffic decreased. The time a typical reader spent actively reading Workflow content jumped to more than two minutes.
And that’s big for lead generation too. More than 18,000 people who had visited Workflow filled out a form on ServiceNow – that’s about 15% of the total form submissions. As they explain in the CMA nomination: “These people were about four times more likely to complete the form than someone who hadn’t visited Workflow.”
Repeat visits to Workflow also indicated a greater likelihood to convert through a ServiceNow form. While 1% of one-time Workflow visitors completed a form, 9% of those who visited the site three times did.
A regression analysis helped them go deeper. The team created “time bands” that looked at visitor behavior in five- and 15-second increments. They learned shorter headlines and more literal photos were likely to keep people on the site past the 15-second mark.
Richard says Workflow created a new reader metric – defining what turns a visitor into a reader as someone who spends more than one minute reading an article or scrolling down at least halfway. That group is more likely to ultimately become a lead.
The Workflow team can access all the analytics in real-time through a custom dashboard. Message Lab described the project this way in their CMA entry: “The site itself has become a laboratory where we can measure, test, and shape a range of behaviors.”
Professional writers power the work
A small team of in-house editors and writers works with Message Lab to produce Workflow. Independent journalists who have written for major publications like The New York Times, Wall Street Journal, and Fortune do most of the writing. Over 120 people appear on Workflow’s team page.
As Richard says: “We see ourselves orchestrating a conversation, not just broadcasting all about how awesome ServiceNow is.”
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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