MARKETING
Broaden your marketing ops talent perspective
Recently Demandbase and marketing operations (MOPs) training provider Highway Education released their “The State of Marketing Operations: 2022” report. It includes insights from various marketing operations luminaries like Darrell Alfsono and Sara McNamara who are certainly aware of the challenges facing professionals in this field. One of the report’s important takeaways is that marketing operations practitioners are in high demand, and there’s a real need for more formal training opportunities.
As I see it, one way that companies looking for marketing operations talent can better find suitable people to fill operations roles is to broaden their perspective of potential candidates – especially during the tight labor market caused by the “Great Resignation.” Many people have what I consider a narrow view of who to recruit, and that’s to their detriment.
Marketing automation’s prominence
It is not surprising that many equate marketing operations with marketing automation; marketing automation platforms offer a lot of what marketing departments need in the digital space. Such platforms are valuable in many situations throughout B2B, B2C, and D2C contexts, and all sorts of teams throughout marketing, sales, and other departments certainly have a need for marketing automation.
Further, since marketing automation platforms are core tech stack components that integrate with many other systems, it seems logical that marketing automation teams would serve as a core and foundational component of any marketing department’s operations. In fact, as robust and powerful platforms, they could certainly serve as a backbone system for smaller organizations for most – if not all – marketing initiatives.
Beyond marketing automation
However, there are plenty of practitioners throughout marketing who develop both the requisite technical skills and business acumen to serve as competent operational practitioners. I agree with Knak Co-Founder and CEO Pierce Ujjainwalla, who was quoted in the report as saying: “We all have found our way into MOps some random way.”
So, why is the field so focused on people who have marketing automation experience?
Fixating on marketing automation causes blind spots for the marketing operations field. I’ve argued that marketing operations teams should pay more attention to websites. The web channel offers many opportunities for marketing departments, and the acumen needed for operating marketing automation platforms, analytic tools, and related systems actually translates well over to content management systems (CMSs).
Further, by looking beyond email, texts, and messaging to the web channel, operations folks could have a better view of other channels. With a more consistent focus on a broader perspective, operations folks can more holistically see possibilities to orchestrate multi-channel campaigns. Wouldn’t that impress marketing leadership and the C-suite?
Get the daily newsletter digital marketers rely on.
Desirable skills come from several backgrounds
Ashley Blanchard, manager, marketing automation and product management at Adobe, is an example of a marketing operations and technology practitioner who came from a web background instead of a marketing automation one. When I asked Blanchard if I could mention her, she replied: “I think we need more web developers to convert to marketing technology and operations!”
I don’t mean to toot my own horn, but I am also one of those people who doesn’t have a significant background mainly performing in a marketing automation role.
Blanchard spent a lot of her time developing and maintaining integrations and data flows as a web developer. I was more of a website administrator who also worked closely with software developers to build custom software ranging from CMS extensions to building systems from scratch. We – like automation specialists – have learned and operated with project management, fought many figurative fires, negotiated with legal and security, had to comply with a regulatory morass tapestry, managed systems users, configured user permission sets, modified functionality, worked with account teams, and collaborated plenty with IT, creative, and other marketing and sales stakeholders.
CMSs integrate with many other systems just like automation platforms. Websites are similarly dependent upon analytics as emails, messaging, paid search, and social media with comparable opportunities for testing and fine tuning. CMSs and web tactics certainly evolve as much as marketing automation does. Thus, there are plenty of ways to develop marketing operations and technology acumen.
Further, Blanchard told me that she feels that system ownership (of any type of platform) requires one to develop and use creative problem solving skills. She adds that this “is the critical skill set anyone in marketing tech needs: how to make a software platform work in an ecosystem to solve complex problems. And there are lots of software platforms being used creatively out there by good candidates.”
As more and more of marketing and sales initiatives grow more digital and technical, specialists from beyond marketing automation develop and use skills that are not only applicable but essential to operations. Thus, marketing leadership, hiring managers, and recruiters should look beyond automation folks for operations roles. I argue that people with websites, paid search, social media, and analytics backgrounds offer just as much potential and, perhaps most importantly, a different perspective than automation specialists.
Read next: Marketing operations talent is suffering burnout and turnover
Cast a wide net
Don’t get me wrong. Marketing automation specialists are a wonderful group of people. They have certainly earned their growing reputation of serving essential marketing functions, but they’re not the only ones capable of fulfilling the demands placed upon marketing operations teams.
One way to address the implications of the current tight marketing operations jobs market like top-heavy teams leaving senior practitioners in the weeds, burned out professionals, long hiring processes, and too much turnover is to cast a broader net when recruiting – just keep the compensation packages growing and improving.
Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.
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.”
-
SEARCHENGINES7 days ago
Google August Core Update Data, SEO, Google Ads Features, Yelp Sues Google & More
-
SEO6 days ago
Vulnerabilities in Two ThemeForest WordPress Themes, 500k+ Sold
-
SEO5 days ago
How to Market When Information is Dirt Cheap
-
SEARCHENGINES5 days ago
Daily Search Forum Recap: September 2, 2024
-
SEO2 days ago
Early Analysis & User Feedback
-
SEO5 days ago
What Is Largest Contentful Paint: An Easy Explanation
-
SEO4 days ago
Google Trends Subscriptions Quietly Canceled
-
SEARCHENGINES4 days ago
Daily Search Forum Recap: September 3, 2024
You must be logged in to post a comment Login